Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,603
datasets available to search
ShareScore release 0.9.0
Dataset results
2,603 results for “Ecological data”
Yangtze River basin ecological and hydrogeomorphic data relevant to regional hydrologic classification for sustainable dam operation
Open the record for dataset details and reuse information.
Data from: We get by with a little help from our friends: shared adaptive variation provides a bridge to novel ecological specialists during adaptive radiation
Open the record for dataset details and reuse information.
Assessing impacts of social-ecological diversity on resilience in a wetland coupled human and natural system: Data release
Open the record for dataset details and reuse information.
A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning
Open the record for dataset details and reuse information.
Data from: Land use change through the lens of macroecology: insights from Azorean arthropods and the Maximum Entropy Theory of Ecology
Open the record for dataset details and reuse information.
Data from: Where money grows on trees: a socio-ecological assessment of land use change in an agricultural frontier
Open the record for dataset details and reuse information.
[Model outputs] Identifying major hydrologic change drivers in a highly managed transboundary endorheic basin: integrating hydro‐ecological models and time‐series data mining techniques
Open the record for dataset details and reuse information.
Data from: Unraveling the ecological and evolutionary impacts of a plant invader on the pollination of a native plant
Open the record for dataset details and reuse information.
Ruffed grouse (Bonasa umbellus) drumming surveys, 1987-2017, Adirondack Long-Term Ecological Monitoring Program Project No. 9 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative
The objective is to document long-term population trends of ruffed grouse in a northern hardwood ecosystem. The survey area is the Huntington Wildlife Forest, a 6,000 ha field station which receives no hunting pressure. Routes are surveyed starting an hour prior to sunrise on 2-5 mornings each year between April 14 and May 9 (occasionally later), on days when wind and rain are minimal to absent. Counts are standardized relative to weather conditions and timing. Observers count the number of individual ruffed grouse heard drumming (""drummers"") at 32-50 route stations during a 4-minute period. Trends at stations over time as well as overall drummer index are calculated and compared to independent datasets.
Data and R code for “Both weather and resources influence masting in chestnut oak (Quercus montana Willd.) and black oak (Q. velutina Lam.)”, Plant Ecology, 2021
Masting is the synchronous and highly variable production of fruit within a population. Although several hypotheses have been proposed to explain why and how masting evolved in plants as a reproductive strategy, the factors that trigger a large reproductive effort in a particular year are still not well understood. While both weather and resources have been proposed to play an important role, testing these hypotheses has been challenging due to a lack of long-term data and appropriate experimental designs. In this manuscript, we used 18 years of acorn production data to analyze the relationship between resources, weather, and masting in black oak (Quercus velutina) and chestnut oak (Q. montana). The data were collected in southeast Ohio as part of the Fire and Fire Surrogate (FFS) study, which applied silvicultural treatments (i.e., thinning and prescribed fires) to reduce competition and manipulate resources. We found species-specific responses to the thinning and fire treatments, with an overall increase in acorn production for chestnut oak in the thin + burn treatment and an increase for black oak in the thin-only treatment compared to the control. Chestnut oak reproduction also had strong positive relationships with warm spring temperatures, and a positive change in summer temperatures compared to the previous year (i.e., summer temperatures that went from cool to warm). For black oak, warm spring temperatures increased acorn production while later starts to spring warming the year before decreased acorn production. These results support the hypotheses that both resources and weather (as a cue and as a limiting factor) are important for masting in oaks. Thus, both factors should be included in predictive models for acorn production under current and future climate conditions.
EDI and NEON dataset descriptions and coverage to support the paper "ecocomDP: A flexible data design pattern for ecological community survey data"
This dataset contains an inventory for the paper entitled "ecocomDP: A flexible data design pattern for ecological community survey data" (O'Brien et al), submitted to Ecological Informatics. The paper describes an approach for harmonizing and reformatting community survey data such as organism abundance or cover measurements. Data currently using this data model and workflow approach are from the repository of the Environmental Data Initiative (EDI), the Long Term Ecological Research (LTER) Network, and the National Ecological Observatory Network (NEON). Data were assembled for this analysis in late 2020. The inventory is composed of two tables, describing data from EDI (including LTER) and data from NEON. The EDI inventory includes information for 70 datasets: identifiers for both the original and converted datasets, and basic coverage information such as temporal coverage (range of years and a measurement of sampling evenness), spatial coverage (maximum bounding coordinates and area of the "bounding box"), and taxonomic coverage (taxonomic classes). The NEON inventory contains information from 11 continent-wide NEON data products, divided into individual field sites to be more spatially compatible with EDI and LTER data. Taxonomic coverage is by group (e.g., algae, birds) rather than explicit taxonomic classes. Spatial coverage is the area of a field sampling site polygon. Temporal coverage includes the same minimum and maximum sampling years and temporal evenness measures as for the EDI data plus a count of months during that period when sampling occurred. At the time of data download, NEON data was considered provisional, however identifiers are persistent and now deliver final, "released" data. Also included in the data package is a script to reformat inventory data and create Figure 3 of the paper.
Data for L.R. Johnson and S.N. Handel - Restoration treatments in urban park forests drive long-term changes in vegetation trajectories - Ecological Applications doi:10.1890/14-2063.1
Initial data from long-term research plots in New York City Park forest patches invaded by exotic woody plant species. Half (n = 30) of the sites were restored 15-20 years prior to first sampling in 2009-2010. The same suite of invasive plants was recorded in the other half of the sites at the time of initial restoration in the late 1980s and early 1990s (n = 30), but they were not restored in 2009-2010.
Ecology Explorers educational data: arthropod data from multiple school locations in the central Arizona-Phoenix area
The Sonoran Desert has one of the most diverse native plant species and animal species of any desert in the world. Many arthropods (insects, spiders, scorpions) are adapted to living here and are part of food webs that include animals and plants also adapted to desert living. Phoenix is an ever-expanding urban area within the Sonoran Desert. Scientists are studying the impact of this urbanization on arthropod communities. How has urbanization affected the number and diversity of arthropod species? Are there areas within urban Phoenix which attract more arthropods?
Ecology Explorers educational data: bird data from multiple school locations in the central Arizona-Phoenix area
The Sonoran Desert has one of the most diverse native plant and animal species of any desert in the world. Many birds are uniquely adapted to living here and they are part of food webs which include animals and plants that also are adapted to desert living. Phoenix is an ever-expanding urban area located in the Sonoran Desert. CAP LTER scientists are studying the impact of this urbanization on bird communities. o Which birds are living in the Phoenix metropolitan area? o Which landscape designs attract which types of birds? o Are there different kinds of birds in different urban landscapes (residential, commercial, parks)? To answer these questions ecologists are conducting surveys of bird populations throughout the Phoenix metropolitan area. Your school can be part of this process by conducting your own bird surveys within your school yard and sending that information to scientists at ASU.
Ecology Explorers educational data: bruchid data from multiple school locations in the central Arizona-Phoenix area
The Sonoran Desert has one of the most diverse native plant and animal species of any desert in the world. Many trees are uniquely adapted to living here and they are part of food webs that include animals and insects also are adapted to desert living. Phoenix is an expanding urban area located within the Sonoran Desert. One Sonoran Desert plant that has found its way into urban landscapes is the palo verde tree. In the desert, this tree supports a community of animals including bruchid beetles. These insects lay their eggs on palo verde seedpods and the larvae feed on the seeds. The interactions between plants and animals can provide vital information on the health of an ecosystem. Ecologists are interested in determining whether the interactions between urban Palo Verde Trees and bruchid beetles is similar or different than their interactions in undisturbed Sonoran Desert communities. You can provide important data by investigating the palo verde trees and bruchid beetle populations in your schoolyard.
Ecology Explorers educational data: vegetation data from multiple school locations in the central Arizona-Phoenix area
The Sonoran Desert has the most diverse native plant species of any desert in the world. Many plants are uniquely adapted to living here and they are part of food webs that include animals and insects that also are adapted to desert living. Phoenix is an ever-expanding urban area located within the Sonoran Desert. Scientists are studying the impact of this urbanization on plant communities. Over the past 100 years, people have removed a lot of native vegetation and planted nonnative plants, trees, and shrubs. But there are still some desert remnants areas that have been preserved as Sonoran Desert landscape within the Phoenix metropolitan area. CAP LTER scientists are conducting plant surveys across the Phoenix Metropolitan area. They will be comparing the survey results to studies done 20 years ago. They also are interested in comparing vegetation in desert remnants to that in residential areas, parks, golf courses and vacant lots. You can participate in this study by comparing schoolyard and/or backyard data to desert remnant data and sharing this informationwith CAP LTER scientists. You may also decide to correlate your vegetation studies with the LTER Ecology Explorers bird and insect studies.
The Effects of Climate Downscaling Technique and Observational Dataset on Modeled Ecological Responses: Supporting Data Tables
These data have been prepared as a supplement to Pourmokhtarian et al. (2016; full citation below), where complete details on methods can be found. We evaluated three downscaling methods: the delta method (or the change factor method); monthly quantile mapping (Bias Correction-Spatial Disaggregation, or BCSD); and daily quantile regression (Asynchronous Regional Regression Model, or ARRM). Additionally, we trained outputs from four atmosphere-ocean general circulation models (AOGCMs) (CCSM3, HadCM3, PCM, and GFDL-CM2.1) driven by higher (A1fi) and lower (B1) future emissions scenarios on two sets of observations (1/8th degree resolution grid vs. individual weather station) to generate the high-resolution climate input for the forest biogeochemical model PnET-BGC (8 ensembles of 6 runs). This dataset consists of three files - 1) a zip archive file of all raw daily downscaled AOGCMs (csv format; years 1960-2099; delta method 2012-2099 only) which were used as input for PnET-BGC model, 2) a zip archive file of all PnET-BGC output files for each model run (csv format; years 1000-2100), and 3) a pdf document file that describes the content of the input and output files. Data were also used from the following Hubbard Brook longterm datasests: Daily Streamflow Watershed 6: http://dx.doi.org/10.6073/pasta/727ee240e0b1e10c92fa28641bedb0a3 Chemistry of Streamwater at the Hubbard Brook Experimental Forest, Watershed 6: http://dx.doi.org/10.6073/pasta/2ec152b0ab1d4e64aa40f4aa9bc492ac Daily Precipitation Watershed 6: http://dx.doi.org/10.6073/pasta/17c8ff8b160bf7893ef39f75a02652e5 Daily Maximum/Minimum Temperature Data: http://dx.doi.org/10.6073/pasta/2a4ab5522ce15f28196a6035802b09e8 Daily Solar Radiation Data: http://dx.doi.org/10.6073/pasta/2fa098a5aa191c64e622b253c0fee5af These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest
Traits-climate range limits data and code (Van Nuland et al. 2019; Ecology and Evolution)
<p>Data and code associated with Van Nuland et al. manuscript “<em>Intraspecific trait variation across elevation predicts a widespread tree species’ climate niche and range limits</em>” in Ecology and Evolution.</p>
Supplementary data for Cariou et al (2020, Molecular Ecology Resources, "How consistent is RAD-seq divergence with DNA-barcode based clustering in insects?")
<p>This dataset accompanies a paper by Cariou et al, to be published in Molecular Ecology Resources, where we assessed in 92 insect species if the genetic clustering of specimens into species like units, on the basis of mitochondrial DNA, was consistent with genome wide divergence, as estimated by RAD-seq data. The present repository includes: (1) a detailed description of the bioinformatic analysis indicating which programs were used, together with parameter values, (2) the raw RAD-seq data following demultiplexing, (3) the consensus sequences of all RAD loci for all specimens, and (4) large tables indicating genetic distances at all RAD loci for all species.</p>
Data for: Deep-time demographic inference suggests ecological release as driver of Neoavian adaptive radiation
<p>Data for:</p> <p>Houde P, Braun EL, Zhou L. 2020. Deep-time demographic inference suggests ecological release as driver of Neoavian adaptive radiation. Diversity, in review</p> <p>**************************************************<br> The .tar.gz file will expand to yield a directory named "Houde_Braun_Zhou_data_files". That directory has three subdirectories:</p> <p>1. alignments<br> 2. indel_matrices<br> 3. trees</p> <p>The Houde_Braun_Zhou_data_files directory also includes a README.txt file with complete details regarding the contents of each subdirectory.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.