Datasets Available

1. Wine Composition

name:wine-composition
reference:Exploration, Classification and Correlation. Institute of Pharmaceutical
citation:Forina, M. et al, PARVUS - An Extendible Package for Data
description:A chemical analysis of wines grown in the same region in Italy but derived from three different cultivators.

2. Mapped plant quadrat time-series from Montana (Anderson et al. 2011)

name:mapped-plant-quads-mt
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3551799
citation:Jed Anderson, Lance Vermeire, and Peter B. Adler. 2011. Fourteen years of mapped, permanent quadrats in a northern mixed prairie, USA. Ecology 92:1703.
description:Long term plant quadrats of northern mixed prairie in Montana.

3. Dataset containing information on all airports on ouraiports.com

name:airports
reference:http://ourairports.com/data/
citation:OurAirports.com, Megginson Technologies Ltd.
description:Dataset containing information on all airports on ourairports.com

4. Miscellaneous Abundance Database (figshare 2012)

name:community-abundance-misc
reference:Not available
citation:Baldridge, Elita, A Data-intensive Assessment of the Species Abundance Distribution(2013). All Graduate Theses and Dissertations. Paper 4276.
description:Community abundance data for fish, reptiles, amphibians, beetles, spiders, and birds, compiled from the literature by Elita Baldridge.

5. Fray Jorge community ecology database (Kelt et al. 2013)

name:

fray-jorge-ecology

reference:

fray-jorge-ecology’s home link.

citation:
    1. Kelt, P. L. Meserve, J. R. Gutierrez, W. Bryan Milstead, and M. A. Previtali. 2013. Long-term monitoring of mammals in the face of biotic and abiotic influences at a semiarid site in north-central Chile. Ecology 94:977. http://dx.doi.org/10.1890/12-1811.1.
description:

Long-term monitoring of small mammal and plant communities in the face of biotic and abiotic influences at a semiarid site in north-central Chile.

6. Database of Vertebrate Home Range Sizes - Tamburello et al., 2015

name:home-ranges
reference:http://datadryad.org/resource/doi:10.5061/dryad.q5j65/1
citation:Tamburello N, Cote IM, Dulvy NK (2015) Energy and the scaling of animal space use. The American Naturalist 186(2):196-211. http://dx.doi.org/10.1086/682070.
description:Database of mean species masses and corresponding empirically measured home range sizes for 569 vertebrate species from across the globe, including birds, mammals, reptiles, and fishes.

7. Oosting Natural Area (North Carolina) plant occurrence (Palmer et al. 2007)

name:plant-occur-oosting
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3528371
citation:Michael W. Palmer, Robert K. Peet, Rebecca A. Reed, Weimin Xi, and Peter S. White. 2007. A multiscale study of vascular plants in a North Carolina Piedmont forest. Ecology 88:2674.
description:A data set collected in 1989 of vascular plant occurrences in overlapping grids of nested plots in the Oosting Natural Area of the Duke Forest, Orange County, North Carolina, USA.

8. Biovolumes for freshwater phytoplankton - Colin et al. 2014

name:phytoplankton-size
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3560628
citation:Colin T. Kremer, Jacob P. Gillette, Lars G. Rudstam, Pal Brettum, and Robert Ptacnik. 2014. A compendium of cell and natural unit biovolumes for >1200 freshwater phytoplankton species. Ecology 95:2984.
description:Sampling phytoplankton communities basing on cell size.

9. Car Evaluation

name:car-eval
reference:http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
citation:Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description:A database useful for testing constructive induction and structure discovery methods.

10. Poker Hand dataset

name:poker-hands
reference:http://archive.ics.uci.edu/ml/datasets/Poker+Hand
citation:Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description:A dataset used to predict poker hands

11. National_Lakes_Assessment_Data

name:nla
reference:nla’s home link.
citation:NA
description:The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the coastal waters of the nation, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of water belonging to the nation. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. EPA works with state, tribal and federal partners to design and implement the National Aquatic Resource Surveys.

12. Fish parasite host ecological characteristics (Strona, et al., 2013)

name:fish-parasite-hosts
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3555378
citation:Giovanni Strona, Maria Lourdes D. Palomares, Nicolas Bailly, Paolo Galli, and Kevin D. Lafferty. 2013. Host range, host ecology, and distribution of more than 11800 fish parasite species. Ecology 94:544.
description:The data set includes 38008 fish parasite records (for Acanthocephala, Cestoda, Monogenea, Nematoda, Trematoda) compiled from scientific literature.

13. Sagebrush steppe mapped plant quadrats (Zachmann et al. 2010)

name:mapped-plant-quads-id
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3550215
citation:Luke Zachmann, Corey Moffet, and Peter Adler. 2010. Mapped quadrats in sagebrush steppe:long-term data for analyzing demographic rates and plant-plant interactions. Ecology 91:3427.
description:This data set consists of 26 permanent 1-m2 quadrats located on sagebrush steppe in eastern Idaho, USA.

14. ND-Gain

name:nd-gain
reference:http://index.gain.org/
citation:Chen, C., Noble, I., Hellmann, J., Coffee, J., Murillo, M. and Chawla, N., 2015. University of Notre Dame Global Adaptation Index Country Index Technical Report. ND-GAIN: South Bend, IN, USA.
description:The ND-GAIN Country Index summarizes a country’s vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.

15. Forest fire data for Montesinho natural park in Portugal

name:

forest-fires-portugal

reference:

http://archive.ics.uci.edu/ml/datasets/Forest+Fires

citation:
  1. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimaraes, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9.
description:

A database for regression analysis with the aim of predicting burned areas of forestry using meteorological and other data.

16. Portal Project Data (Ernest et al. 2016)

name:

portal-dev

reference:

https://github.com/weecology/PortalData

citation:
      1. Ernest, G. M. Yenni, G. Allington, E. M. Christensen, K. Geluso, J. R. Goheen, M. R. Schutzenhofer, S. R. Supp, K. M. Thibault, James H. Brown, and T. J. Valone. 2016. Long-term monitoring and experimental manipulation of a Chihuahuan desert ecosystem near Portal, Arizona (1977-2013). Ecology 97:1082.
description:

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots.

17. Croche understory vegetation data set

name:croche-vegetation-data
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3528707
citation:Alain Paquette, Etienne Laliberté, André Bouchard, Sylvie de Blois, Pierre Legendre, and Jacques Brisson. 2007. Lac Croche understory vegetation data set (1998-2006). Ecology 88:3209.
description:The Lac Croche data set covers a nine-year period (1998-2006) of detailed understory vegetation sampling of a temperate North American forest located in the Station de Biologie des Laurentides (SBL), Québec, Canada.

18. Foraging attributes for birds and mammals (Wilman, et al., 2014)

name:elton-traits
reference:elton-traits’s home link.
citation:Hamish Wilman, Jonathan Belmaker, Jennifer Simpson, Carolina de la Rosa, Marcelo M. Rivadeneira, and Walter Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027.
description:Characterization of species by physiological, behavioral, and ecological attributes that are subjected to varying evolutionary and ecological constraints and jointly determine their role and function in ecosystems.

19. First-flowering dates of plants in the Northern Great Plains

name:ngreatplains-flowering-dates
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3531716
citation:Steven E. Travers and Kelsey L. Dunnell. 2009. First-flowering dates of plants in the Northern Great Plains. Ecology 90:2332.
description:Observations data of first-flowering time of native and nonnative plant species in North Dakota and Minnesota over the course of 51 years in the last century

20. BUPA liver disorders

name:bupa-liver-disorders
reference:https://archive.ics.uci.edu/ml/datasets/Liver+Disorders
citation:Richard S. Forsyth, 8 Grosvenor Avenue, Mapperley Park , Nottingham NG3 5DX, 0602-621676
description:The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each line in the dataset constitutes the record of a single male individual. The 7th field (selector) has been widely misinterpreted in the past as a dependent variable representing presence or absence of a liver disorder. This is incorrect. The 7th field was created by BUPA researchers as a train/test selector. It is not suitable as a dependent variable for classification. The dataset does not contain any variable representing presence or absence of a liver disorder.

21. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007

name:marine-recruitment-data
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3530633
citation:Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2009. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007. Ecology 90:571.
description:This data set provides access to recruitment data collected in the experimental plots from 1997 to 2007

22. Nesting ecology and offspring recruitment in a long-lived turtle

name:turtle-offspring-nesting
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3531323
citation:Lisa E. Schwanz, Rachel M. Bowden, Ricky-John Spencer, and Fredric J. Janzen. 2009. Nesting ecology and offspring recruitment in a long-lived turtle. Ecology 90:1709. [https://doi.org/10.6084/m9.figshare.3531323.v1]
description:Valuable empirical resource for exploring important facets of nesting ecology and hatchling recruitment in a wild population of a long-lived species.

23. 3-D maps of tree canopy geometries at leaf scale

name:tree-canopy-geometries
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3530507
citation:Hervé Sinoquet, Sylvain Pincebourde, Boris Adam, Nicolas Donès, Jessada Phattaralerphong, Didier Combes, Stéphane Ploquin, Krissada Sangsing, Poonpipope Kasemsap, Sornprach Thanisawanyangkura, Géraldine Groussier-Bout, and Jérôme Casas. 2009. 3-D maps of tree canopy geometries at leaf scale. Ecology 90:283
description:This data set reports the three-dimensional geometry of a set of fruit and rubber trees at the leaf scale

24. New York City TreesCount

name:nyc-tree-count
reference:https://www.nycgovparks.org/trees/treescount
citation:TreeCount 2015 is citizen science project of NYC Parks’[https://www.nycgovparks.org/trees/treescount].
description:Dataset consist of every street tree of New York City on the block

26. The ph_ownership_history dataset

name:harvard-forest
reference:http://harvardforest.fas.harvard.edu/
citation:Hall B. 2017. Historical GIS Data for Harvard Forest Properties from 1908 to Present. Harvard Forest Data Archive: HF110.
description:ph_ownership_history

27. Biomass and Its Allocation in Chinese Forest Ecosystems (Luo, et al., 2014)

name:forest-biomass-china
reference:forest-biomass-china’s home link.
citation:Yunjian Luo, Xiaoquan Zhang, Xiaoke Wang, and Fei Lu. 2014. Biomass and its allocation in Chinese forest ecosystems. Ecology 95:2026.
description:Forest biomass data set of China which includes tree overstory components (stems, branches, leaves, and roots, among all other plant material), the understory vegetation (saplings, shrubs, herbs, and mosses), woody liana vegetation, and the necromass components of dead organic matter (litterfall, suspended branches, and dead trees).

28. Breed-Bird-Survey-nlcd Data

name:breed-bird-survey-nlcd
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3554424
citation:Michael F. Small, Joseph A. Veech, and Jennifer L. R. Jensen. 2012. Local landscape composition and configuration around North American Breeding Bird Survey routes. Ecology 93:2298.
description:Landcover data for all North American Breeding Bird Survey routes from the 2006 National Land Cover Database at buffers from 200 m to 10 km..

29. Mapped plant quadrat time-series from Kansas (Adler et al. 2007)

name:mapped-plant-quads-ks
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3528368
citation:Peter B. Adler, William R. Tyburczy, and William K. Lauenroth. 2007. Long-term mapped quadrats from Kansas prairie:demographic information for herbaceaous plants. Ecology 88:2673.
description:Demographic data for testing current theories in plant ecology and forecasting the effects of global change.

30. Shortgrass steppe mapped plants quads - Chu et al. 2013

name:mapped-plant-quads-co
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3556779
citation:Cover, density, and demographics of shortgrass steppe plants mapped 1997-2010 in permanent grazed and ungrazed quadrats. Chengjin Chu, John Norman, Robert Flynn, Nicole Kaplan, William K. Lauenroth, and Peter B. Adler. Ecology 2013 94:6, 1435-1435.
description:This data set maps and analyzes demographic rates of many common plant species in the shortgrass steppe of North America under grazed and ungrazed conditions.

31. Wine Quality

name:

wine-quality

reference:

wine-quality’s home link.

citation:
  1. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
description:

Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests

32. Bioclim 2.5 Minute Climate Data

name:bioclim
reference:http://worldclim.org/bioclim
citation:Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
description:Bioclimatic variables that are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables.

33. Bird Body Size and Life History (Lislevand et al. 2007)

name:bird-size
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3527864
citation:Terje Lislevand, Jordi Figuerola, and Tamas Szekely. 2007. Avian body sizes in relation to fecundity, mating system, display behavior, and resource sharing. Ecology 88:1605.
description:A comprehensive compilation of data set on avian body sizes that would be useful for future comparative studies of avian biology.

34. species data on densities and percent cover in the 60 experimental plots from 1996 to 2002

name:macroalgal_communities
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3526004
citation:Peter S. Petraitis and Nicholas Vidargas. 2006. Marine intertidal organisms found in experimental clearings on sheltered shores in the Gulf of Maine, USA. Ecology 87:796.
description:Experimental clearings in macroalgal stands were established in 1996 to determine if mussel beds and macroalgal stands on protected intertidal shores of New England represent alternative community states

35. The LakeCat Dataset

name:lakecats-final-tables
reference:https://www.epa.gov/national-aquatic-resource-surveys/lakecat
citation:Hill, Ryan A., Marc H. Weber, Rick Debbout, Scott G. Leibowitz, Anthony R. Olsen. 2018. The Lake-Catchment (LakeCat) Dataset: characterizing landscape features for lake basins within the conterminous USA. Freshwater Science doi:10.1086/697966.
description:This current lakecat dataset has 136 local catchment (Cat) and 136 watershed (Ws) metrics making a total of 272 metrics.

36. Mammal Community DataBase (Thibault et al. 2011)

name:mammal-community-db
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3552243
citation:Katherine M. Thibault, Sarah R. Supp, Mikaelle Giffin, Ethan P. White, and S. K. Morgan Ernest. 2011. Species composition and abundance of mammalian communities. Ecology 92:2316.
description:This data set includes species lists for 1000 mammal communities, excluding bats, with species-level abundances available for 940 of these communities.

37. Sonoran Desert Lab perennials vegetation plots

name:veg-plots-sdl
reference:Not available
citation:Susana Rodriguez-Buritica, Helen Raichle, Robert H. Webb, Raymond M. Turner, and D. Lawrence Venable. 2013. One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials. Ecology 94:976.
description:The data set constitutes all information associated with the Spalding-Shreve permanent vegetation plots from 1906 through 2012, which is the longest-running plant monitoring program in the world.

38. Antarctic Site Inventory breeding bird survey data, 1994-2013

name:antarctic-breed-bird
reference:antarctic-breed-bird’s home link.
citation:Heather J. Lynch, Ron Naveen, and Paula Casanovas. 2013. Antarctic Site Inventory breeding bird survey data, 1994-2013. Ecology 94:2653.
description:The data set represents the accumulation of 19 years of seabird population abundance data which was collected by the Antarctic Site Inventory, an opportunistic vessel-based monitoring program surveying the Antarctic Peninsula and associated sub-Antarctic Islands.

39. Percentage leaf herbivory across vascular plant species

name:leaf-herbivory
reference:leaf-herbivory’s home link.
citation:Martin M. Turcotte, Christina J. M. Thomsen, Geoffrey T. Broadhead, Paul V. A. Fine, Ryan M. Godfrey, Greg P. A. Lamarre, Sebastian T. Meyer, Lora A. Richards, and Marc T. J. Johnson. 2014. Percentage leaf herbivory across vascular plant species. Ecology 95:788. http://dx.doi.org/10.1890/13-1741.1.
description:Spatially explicit measurements of population level leaf herbivory on 1145 species of vascular plants from 189 studies from across the globe.

40. Portal Project Data (Ernest et al. 2009)

name:

portal

reference:

https://figshare.com/articles/Data_Paper_Data_Paper/3531317

citation:
    1. Morgan Ernest, Thomas J. Valone, and James H. Brown. 2009. Long-term monitoring and experimental manipulation of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology 90:1708.
description:

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots. Currently includes only mammal data.

41. MammalDIET

name:mammal-diet
reference:Not available
citation:Kissling WD, Dalby L, Flojgaard C, Lenoir J, Sandel B, Sandom C, Trojelsgaard K, Svenning J-C (2014) Establishing macroecological trait datasets:digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide. Ecology and Evolution, online in advance of print. doi:10.1002/ece3.1136
description:MammalDIET provides a comprehensive, unique and freely available dataset on diet preferences for all terrestrial mammals worldwide.

42. Wisconsin Breast Cancer Database

name:breast-cancer-wi
reference:http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29
citation:Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description:Database containing information on Wisconsin Breast Cancer Diagnostics

43. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness

name:species-exctinction-rates
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3530825
citation:Bradley J. Cardinale, Diane S. Srivastava, J. Emmett Duffy, Justin P. Wright, Amy L. Downing, Mahesh Sankaran, Claire Jouseau, Marc W. Cadotte, Ian T. Carroll, Jerome J. Weis, Andy Hector, and Michel Loreau. 2009. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness. Ecology 90:854.
description:A summary of the results on the accelerating rates of species extinction

44. Iris Plants Database

name:

iris

reference:

http://mlr.cs.umass.edu/ml/datasets/Iris

citation:
    1. Fisher. 1936. The Use of Multiple Measurements in Taxonomic Problems. and Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.
description:

Famous dataset from R. A. Fisher. This dataset has been corrected. Information Source: Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.

45. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007.

name:chytr-disease-distr
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3547077
citation:Kris Murray, Richard Retallick, Keith R. McDonald, Diana Mendez, Ken Aplin, Peter Kirkpatrick, Lee Berger, David Hunter, Harry B. Hines, R. Campbell, Matthew Pauza, Michael Driessen, Richard Speare, Stephen J. Richards, Michael Mahony, Alastair Freeman, Andrea D. Phillott, Jean-Marc Hero, Kerry Kriger, Don Driscoll, Adam Felton, Robert Puschendorf, and Lee F. Skerratt. 2010. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007. Ecology 91:1557.
description:The data is of a distribution and host range of this invasive disease in Australia

46. Masses of Mammals (Smith et al. 2003)

name:mammal-masses
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3523112
citation:Felisa A. Smith, S. Kathleen Lyons, S. K. Morgan Ernest, Kate E. Jones, Dawn M. Kaufman, Tamar Dayan, Pablo A. Marquet, James H. Brown, and John P. Haskell. 2003. Body mass of late Quaternary mammals. Ecology 84:3403.
description:A data set of compiled body mass information for all mammals on Earth.

47. GDP Data

name:gdp
reference:https://github.com/datasets/gdp/blob/master
citation:NA
description:Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

48. Body sizes of consumers and their resources

name:predator-prey-body-ratio
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3525119
citation:Ulrich Brose, Lara Cushing, Eric L. Berlow, Tomas Jonsson, Carolin Banasek-Richter, Louis-Felix Bersier, Julia L. Blanchard, Thomas Brey, Stephen R. Carpenter, Marie-France Cattin Blandenier, Joel E. Cohen, Hassan Ali Dawah, Tony Dell, Francois Edwards, Sarah Harper-Smith, Ute Jacob, Roland A. Knapp, Mark E. Ledger, Jane Memmott, Katja Mintenbeck, John K. Pinnegar, Bjorn C. Rall, Tom Rayner, Liliane Ruess, Werner Ulrich, Philip Warren, Rich J. Williams, Guy Woodward, Peter Yodzis, and Neo D. Martinez10. 2005. Body sizes of consumers and their resources. Ecology 86:2545.
description:Body size ratios between predators and their prey,

49. USDA plant list - taxonomy for US plant species

name:plant-taxonomy-us
reference:http://plants.usda.gov
citation:USDA, NRCS. 2017. The PLANTS Database (http://plants.usda.gov, DATEOFDOWNLOAD). National Plant Data Team, Greensboro, NC 27401-4901 USA.
description:Plant taxonomy data for the United States from the USDA plants website

50. Partners_In_Flight_Species_Assessment_Data

name:partners-in-flight
reference:http://rmbo.org/pifassessment/Database.aspx
citation:Partners in Flight. 2017. Avian Conservation Assessment Database, version 2017. Available at http://pif.birdconservancy.org/ACAD. Accessed on 19.2.2018
description:The Partners in Flight (PIF) Species Assessment Database is now the Avian Conservation Assessment Database, Whereas the Species Assessment Database contained information only on landbirds in Canada, USA and Mexico, the Avian Conservation Assessment Database contains assessment data for all North American birds from Canada to Panama.

51. Demography of the endemic mint Dicerandra frutescens in Florida scrub

name:dicerandra-frutescens
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3529460
citation:Eric S. Menges. 2008. Demography of the endemic mint Dicerandra frutescens in Florida scrub. Ecology 89:1474.
description:Study of the demography of Dicerandra frutescens, an endemic and endangered mint restricted to Florida scrub

52. A database on visible diurnal spring migration of birds

name:bird-migration-data
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3551952
citation:Georg F. J. Armbruster, Manuel Schweizer, and Deborah R. Vogt. 2011. A database on visible diurnal spring migration of birds (Central Europe:Lake Constance). Ecology 92:1865.
description:Birds migration data

53. Phylogeny and metabolic rates in mammals (Ecological Archives 2010)

name:mammal-metabolic-rate
reference:https://figshare.com/collections/Phylogeny_and_metabolic_scaling_in_mammals/3303477
citation:Isabella Capellini, Chris Venditti, and Robert A. Barton. 2010. Phylogeny and metabolic rates in mammals. Ecology 20:2783-2793.
description:Data on basal metabolic rate (BMR) with experimental animal body mass, field metabolic rate (FMR) with wild animal body mass, and sources of the data. Ecological Archives E091-198-S1.

54. Mammal abundance indices in the northern portion of the Great Basin

name:great-basin-mammal-abundance
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3525485
citation:Rebecca A. Bartel, Frederick F. Knowlton, and Charles Stoddart. 2005. Mammal abundance indices in the northern portion of the Great Basin, 1962-1993. Ecology 86:3130.
description:Indices of abundance of selected mammals obtained for two study areas within the Great Basin.

55. A stream gage database for evaluating natural and altered flow conditions in the conterminous United States.

name:streamflow-conditions
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3544358
citation:James A. Falcone, Daren M. Carlisle, David M. Wolock, and Michael R. Meador. 2010. GAGES:A stream gage database for evaluating natural and altered flow conditions in the conterminous United States. Ecology 91:621.
description:streamflow in ecosystems

56. Nematode traits and environmental constraints in 200 soil systems

name:nematode-traits
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3552057
citation:Christian Mulder and J. Arie Vonk. 2011. Nematode traits and environmental constraints in 200 soil systems:scaling within the 60–6000 µm body size range. Ecology 92:2004.
description:This data set includes information on taxonomy, life stage, sex, feeding habit, trophic level, geographic location, sampling period, ecosystem type, soil type, and soil chemistry

57. Mammal Life History Database - Ernest, et al., 2003

name:

mammal-life-hist

reference:

mammal-life-hist’s home link.

citation:
    1. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402.
description:

The purpose of this data set was to compile general life history characteristics for a variety of mammalian species to perform comparative life history analyses among different taxa and different body size groups.

58. BioTIME species identities and abundances

name:biotime
reference:https://zenodo.org/record/1095628#.WskN7dPwYyn
citation:Dornelas M, Antão LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology & Biogeography. 2018; 00:1 - 26. https://doi.org/10.1111/geb.12729.
description:The BioTIME database has species identities and abundances in ecological assemblages through time.

59. Vascular plant composition - McGlinn, et al., 2010

name:plant-comp-ok
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3547209
citation:Daniel J. McGlinn, Peter G. Earls, and Michael W. Palmer. 2010. A 12-year study on the scaling of vascular plant composition in an Oklahoma tallgrass prairie. Ecology 91:1872.
description:The data is part of a monitoring project on vascular plant composition at the Tallgrass Prairie Preserve in Osage County, Oklahoma, USA.

60. Michigan forest canopy dynamics plots - Woods et al. 2009

name:forest-plots-michigan
reference:forest-plots-michigan’s home link.
citation:Kerry D. Woods. 2009. Multi-decade, spatially explicit population studies of canopy dynamics in Michigan old-growth forests. Ecology 90:3587.
description:The data set provides stem infomation from a regular grid of 256 permanent plots includes about 20% of a 100-ha old-growth forest at the Dukes Research Natural Area in northern Michigan, USA.

61. The data was used to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth.

name:macrocystis-variation
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3529700
citation:Andrew Rassweiler, Katie K. Arkema, Daniel C. Reed, Richard C. Zimmerman, and Mark A. Brzezinski. 2008. Net primary production, growth, and standing crop of Macrocystis pyrifera in southern California. Ecology 89:2068.
description:

62. Global Biotic Interactions (GloBI) data

name:globi-interaction
reference:https://github.com/jhpoelen/eol-globi-data/wiki
citation:Poelen, J.H., Simons, J.D. and Mungall, C.J., 2014. Global biotic interactions: an open infrastructure to share and analyze species-interaction datasets. Ecological Informatics, 24, pp.148-159.
description:GloBI contains code to normalize and integrate existing species-interaction datasets and export the resulting integrated interaction dataset.

63. Mount St. Helens vegetation recovery plots (del Moral 2010)

name:mt-st-helens-veg
reference:mt-st-helens-veg’s home link.
citation:Roger del Moral. 2010. Thirty years of permanent vegetation plots, Mount St. Helens, Washington. Ecology 91:2185.
description:Documenting vegetation recovery from volcanic disturbances using the most common species found in non-forested habitats on Mount St. Helens.

64. Spatial Population Data Alpine Butterfly - Matter et al 2014

name:butterfly-population-network
reference:butterfly-population-network’s home link.
citation:Matter, Stephen F., Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985. Ecological Archives E095-258.
description:Stephen F. Matter, Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985.

65. Abalone Age and Size Data

name:abalone-age
reference:http://archive.ics.uci.edu/ml/datasets/Abalone
citation:Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description:Database to aid in the prediction of the age of an Abalone given physical measurements

66. The effects of biodiversity on ecosystem community, and population variables reported 1974-2004

name:biodiversity-response
reference:https://figshare.com/articles/Data_Paper_Data_Paper/3530822
citation:Bernhard Schmid, Andrea B. Pfisterer, and Patricia Balvanera. 2009. Effects of biodiversity on ecosystem community, and population variables reported 1974-2004. Ecology 90:853
description:

67. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark

name:

flensburg-food-web

reference:

https://figshare.com/articles/Full_Archive/3552066

citation:
  1. Dieter Zander, Neri Josten, Kim C. Detloff, Robert Poulin, John P. McLaughlin, and David W. Thieltges. 2011. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark. Ecology 92:2007.
description:

This data is of a food web for the Flensburg Fjord, a brackish shallow water inlet on the Baltic Sea, between Germany and Denmark.

68. Alwyn H. Gentry Forest Transect Dataset

name:gentry-forest-transects
reference:http://www.mobot.org/mobot/research/gentry/welcome.shtml
citation:Phillips, O. and Miller, J.S., 2002. Global patterns of plant diversity: Alwyn H. Gentry’s forest transect data set. Missouri Botanical Press.
description:

69. USGS North American Breeding Bird Survey 50 stop

name:breed-bird-survey-50stop
reference:http://www.pwrc.usgs.gov/BBS/
citation:Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center.
description:A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

70. Aquatic Animal Excretion

name:aquatic-animal-excretion
reference:http://onlinelibrary.wiley.com/doi/10.1002/ecy.1792/abstract
citation:Vanni, M. J., McIntyre, P. B., Allen, D., Arnott, D. L., Benstead, J. P., Berg, D. J., Brabrand, Å., Brosse, S., Bukaveckas, P. A., Caliman, A., Capps, K. A., Carneiro, L. S., Chadwick, N. E., Christian, A. D., Clarke, A., Conroy, J. D., Cross, W. F., Culver, D. A., Dalton, C. M., Devine, J. A., Domine, L. M., Evans-White, M. A., Faafeng, B. A., Flecker, A. S., Gido, K. B., Godinot, C., Guariento, R. D., Haertel-Borer, S., Hall, R. O., Henry, R., Herwig, B. R., Hicks, B. J., Higgins, K. A., Hood, J. M., Hopton, M. E., Ikeda, T., James, W. F., Jansen, H. M., Johnson, C. R., Koch, B. J., Lamberti, G. A., Lessard-Pilon, S., Maerz, J. C., Mather, M. E., McManamay, R. A., Milanovich, J. R., Morgan, D. K. J., Moslemi, J. M., Naddafi, R., Nilssen, J. P., Pagano, M., Pilati, A., Post, D. M., Roopin, M., Rugenski, A. T., Schaus, M. H., Shostell, J., Small, G. E., Solomon, C. T., Sterrett, S. C., Strand, O., Tarvainen, M., Taylor, J. M., Torres-Gerald, L. E., Turner, C. B., Urabe, J., Uye, S.-I., Ventelä, A.-M., Villeger, S., Whiles, M. R., Wilhelm, F. M., Wilson, H. F., Xenopoulos, M. A. and Zimmer, K. D. (2017), A global database of nitrogen and phosphorus excretion rates of aquatic animals. Ecology. Accepted Author Manuscript. doi:10.1002/ecy.1792
description:Dataset containing the nutrient cycling rates of individual animals.

71. BAAD: a Biomass And Allometry Database for woody plants

name:biomass-allometry-db
reference:https://doi.org/10.6084/m9.figshare.c.3307692.v1
citation:Falster, D.S., Duursma, R.A., Ishihara, M.I., Barneche, D.R., FitzJohn, R.G., Varhammar, A., Aiba, M., Ando, M., Anten, N., Aspinwall, M.J. and Baltzer, J.L., 2015. BAAD: a Biomass And Allometry Database for woody plants.
description:The data set is a Biomass and allometry database (BAAD) for woody plants containing 259634 measurements collected in 176 different studies from 21084 individuals across 678 species.

72. Vertnet Mammals

name:vertnet-mammals
reference:http://vertnet.org/resources/datatoolscode.html
citation:Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Mammals_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Mammals_Sep2016
description:Compilation of digitized museum records of mammals including locations, dates of collection, and some trait data.

73. Commercial Fisheries Monthly Trade Data by Product, Country/Association

name:noaa-fisheries-trade
reference:noaa-fisheries-trade’s home link.
citation:No known Citation
description:Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

74. USGS North American Breeding Bird Survey

name:breed-bird-survey
reference:http://www.pwrc.usgs.gov/BBS/
citation:Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center
description:A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

75. Indian Forest Stand Structure and Composition (Ramesh et al. 2010)

name:

forest-plots-wghats

reference:

forest-plots-wghats’s home link.

citation:
    1. Ramesh, M. H. Swaminath, Santoshgouda V. Patil, Dasappa, Raphael Pelissier, P. Dilip Venugopal, S. Aravajy, Claire Elouard, and S. Ramalingam. 2010. Forest stand structure and composition in 96 sites along environmental gradients in the central Western Ghats of India. Ecology 91:3118.
description:

This data set reports woody plant species abundances in a network of 96 sampling sites spread across 22000 km2 in central Western Ghats region, Karnataka, India.

76. Vertnet Birds

name:vertnet-birds
reference:http://vertnet.org/resources/datatoolscode.html
citation:Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Aves_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Aves_Sep2016
description:Compilation of digitized museum records of birds including locations, dates of collection, and some trait data.

77. Vertnet Amphibians

name:vertnet-amphibians
reference:http://vertnet.org/resources/datatoolscode.html
citation:Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Amphibia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Amphibia_Sep2016
description:Compilation of digitized museum records of amphibians including locations, dates of collection, and some trait data.

78. Vertnet Fishes

name:vertnet-fishes
reference:http://vertnet.org/resources/datatoolscode.html
citation:Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Fishes_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Fishes_Sep2016
description:Compilation of digitized museum records of fishes including locations, dates of collection, and some trait data.

79. A database on the life history traits of the Northwest European flora

name:plant-life-hist-eu
reference:http://www.uni-oldenburg.de/en/biology/landeco/research/projects/leda/
citation:KLEYER, M., BEKKER, R.M., KNEVEL, I.C., BAKKER, J.P, THOMPSON, K., SONNENSCHEIN, M., POSCHLOD, P., VAN GROENENDAEL, J.M., KLIMES, L., KLIMESOVA, J., KLOTZ, S., RUSCH, G.M., HERMY, M., ADRIAENS, D., BOEDELTJE, G., BOSSUYT, B., DANNEMANN, A., ENDELS, P., GoeTZENBERGER, L., HODGSON, J.G., JACKEL, A-K., KueHN, I., KUNZMANN, D., OZINGA, W.A., RoeMERMANN, C., STADLER, M., SCHLEGELMILCH, J., STEENDAM, H.J., TACKENBERG, O., WILMANN, B., CORNELISSEN, J.H.C., ERIKSSON, O., GARNIER, E., PECO, B. (2008): The LEDA Traitbase: A database of life-history traits of Northwest European flora. Journal of Ecology 96: 1266-1274
description:The LEDA Traitbase provides information on plant traits that describe three key features of plant dynamics: persistence, regeneration and dispersal.

80. Forest Inventory and Analysis

name:forest-inventory-analysis
reference:http://fia.fs.fed.us/
citation:DATEOFDOWNLOAD. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station. [Available only on internet: http://apps.fs.fed.us/fiadb-downloads/datamart.html]
description:WARNING: This dataset requires downloading many large files and will probably take several hours to finish installing.

81. PREDICTS Database

name:predicts
reference:http://data.nhm.ac.uk/dataset/902f084d-ce3f-429f-a6a5-23162c73fdf7
citation:Lawrence N Hudson; Tim Newbold; Sara Contu; Samantha L L Hill et al. (2016). Dataset: The 2016 release of the PREDICTS database. http://dx.doi.org/10.5519/0066354
description:A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species.

82. Mammal Super Tree

name:mammal-super-tree
reference:http://doi.org/10.1111/j.1461-0248.2009.01307.x
citation:Fritz, S. A., Bininda-Emonds, O. R. P. and Purvis, A. (2009), Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters, 12: 538-549. doi:10.1111/j.1461-0248.2009.01307.x
description:Mammal Super Tree from Fritz, S.A., O.R.P Bininda-Emonds, and A. Purvis. 2009. Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters 12:538-549

83. Marine Predator and Prey Body Sizes - Barnes et al. 2008

name:

predator-prey-size-marine

reference:

predator-prey-size-marine’s home link.

citation:
  1. Barnes, D. M. Bethea, R. D. Brodeur, J. Spitz, V. Ridoux, C. Pusineri, B. C. Chase, M. E. Hunsicker, F. Juanes, A. Kellermann, J. Lancaster, F. Menard, F.-X. Bard, P. Munk, J. K. Pinnegar, F. S. Scharf, R. A. Rountree, K. I. Stergiou, C. Sassa, A. Sabates, and S. Jennings. 2008. Predator and prey body sizes in marine food webs. Ecology 89:881.
description:

The data set contains relationships between predator and prey size which are needed to describe interactions of species and size classes in food webs.

84. vertnet:

name:vertnet
reference:http://vertnet.org/resources/datatoolscode.html
citation:Not currently available
description:

85. USA National Phenology Network

name:NPN
reference:http://www.usanpn.org/results/data
citation:Schwartz, M. D., Ault, T. R., & J. L. Betancourt, 2012: Spring Onset Variations and Trends in the Continental USA: Past and Regional Assessment Using Temperature-Based Indices. International Journal of Climatology (published online, DOI: 10.1002/joc.3625).
description:The data set was collected via Nature’s Notebook phenology observation program (2009-present), and (2) Lilac and honeysuckle data (1955-present)

86. Commercial Fisheries Monthly Trade Data by Product, Country/Association

name:fao-global-capture-product
reference:http://www.fao.org/fishery/statistics/global-capture-production/
citation:FAO. 2018. FAO yearbook. Fishery and Aquaculture Statistics 2016/FAO annuaire. Statistiques des pêches et de l’aquaculture 2016/FAO anuario. Estadísticas de pesca y acuicultura 2016. Rome/Roma. 104pp.
description:Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

87. Global wood density database - Zanne et al. 2009

name:wood-density
reference:http://datadryad.org/resource/doi:10.5061/dryad.234
citation:Chave J, Coomes DA, Jansen S, Lewis SL, Swenson NG, Zanne AE (2009) Towards a worldwide wood economics spectrum. Ecology Letters 12(4): 351-366. http://dx.doi.org/10.1111/j.1461-0248.2009.01285.x and Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from: Towards a worldwide wood economics spectrum. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.234
description:A collection and collation of data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry.

88. Amniote life History database

name:amniote-life-hist
reference:amniote-life-hist’s home link.
citation:Myhrvold, N.P., Baldridge, E., Chan, B., Sivam, D., Freeman, D.L. and Ernest, S.M., 2015. An amniote life-history database to perform comparative analyses with birds, mammals, and reptiles:Ecological Archives E096-269. Ecology, 96(11), pp.3109-000.
description:Compilation of life history traits for birds, mammals, and reptiles.

89. Gulf of Maine intertidal density/cover (Petraitis et al. 2008)

name:intertidal-abund-me
reference:intertidal-abund-me’s home link.
citation:Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2008. Densities and cover data for intertidal organisms in the Gulf of Maine, USA, from 2003 to 2007. Ecology 89:588.
description:The data on densities and percent cover in the 60 experimental plots from 2003 to 2007 and to update data from 1996 to 2002 that are already published in Ecological Archives.Includes densities of mussels, herbivorous limpet, herbivorous snails, predatory snail, barnacle , fucoid algae and percent cover by mussels, barnacles, fucoids, and other sessile organisms.

90. PRISM Climate Data

name:prism-climate
reference:http://prism.oregonstate.edu/
citation:Not currently available
description:The PRISM data set represents climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns.

91. Vertnet Reptiles

name:vertnet-reptiles
reference:http://vertnet.org/resources/datatoolscode.html
citation:Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Reptilia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Reptilia_Sep2016
description:Compilation of digitized museum records of reptiles including locations, dates of collection, and some trait data.

92. 3D Elevation Program (3DEP) high-quality U.S. Geological Survey topographic data

name:usgs-elevation
reference:https://pubs.er.usgs.gov/publication/fs20163022
citation:Lukas, Vicki, Stoker, J.M., 2016, 3D Elevation Program—Virtual USA in 3D: U.S. Geological Survey Fact Sheet 2016–3022, 1 p., http://dx.doi.org/10.3133/fs20163022.
description:The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) uses lidar to create a virtual reality maps.

93. A Southern Ocean dietary database

name:socean-diet-data
reference:https://figshare.com/articles/Full_Archive/3551304
citation:Ben Raymond, Michelle Marshall, Gabrielle Nevitt, Chris L. Gillies, John van den Hoff, Jonathan S. Stark, Marcel Losekoot, Eric J. Woehler, and Andrew J. Constable. 2011. A Southern Ocean dietary database. Ecology 92:1188.
description:Diet-related data from published and unpublished data sets and studies

94. Tree growth, mortality, physical condition - Clark, 2006

name:la-selva-trees
reference:https://doi.org/10.6084/m9.figshare.c.3299324.v1
citation:David B. Clark and Deborah A. Clark. 2006. Tree growth, mortality, physical condition, and microsite in an old-growth lowland tropical rain forest. Ecology 87:2132.
description:The data set helps to examine the post-establishment ecology of 10 species of tropical wet forest trees selected to span a range of predicted life history patterns at the La Selva Biological Station in Costa Rica.

95. Tree demography in Western Ghats, India - Pelissier et al. 2011

name:tree-demog-wghats
reference:tree-demog-wghats’s home link.
citation:Raphael Pelissier, Jean-Pierre Pascal, N. Ayyappan, B. R. Ramesh, S. Aravajy, and S. R. Ramalingam. 2011. Twenty years tree demography in an undisturbed Dipterocarp permanent sample plot at Uppangala, Western Ghats of India. Ecology 92:1376.
description:A data set on demography of trees monitored over 20 years in Uppangala permanent sample plot (UPSP).

96. Pantheria (Jones et al. 2009)

name:pantheria
reference:pantheria’s home link.
citation:Kate E. Jones, Jon Bielby, Marcel Cardillo, Susanne A. Fritz, Justin O’Dell, C. David L. Orme, Kamran Safi, Wes Sechrest, Elizabeth H. Boakes, Chris Carbone, Christina Connolly, Michael J. Cutts, Janine K. Foster, Richard Grenyer, Michael Habib, Christopher A. Plaster, Samantha A. Price, Elizabeth A. Rigby, Janna Rist, Amber Teacher, Olaf R. P. Bininda-Emonds, John L. Gittleman, Georgina M. Mace, and Andy Purvis. 2009. PanTHERIA:a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648.
description:PanTHERIA is a data set of multispecies trait data from diverse literature sources and also includes spatial databases of mammalian geographic ranges and global climatic and anthropogenic variables.