Skip to main content
Powered by ShareScore

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.

1,891

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1,891 results for “Field data”

Learn how ShareScore rates datasets ↗
dryad40/100

Data from: Predicting fitness in future climate: Insights from temporally replicated field experiments in Arabidopsis thaliana

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad40/100

Data from: Demographic, behavioral, and ecological data from a long-term field study of wild baboons in Amboseli, Kenya

Open the record for dataset details and reuse information.

publicOct 2025View details →
edi40/100

Growth data was collected on one deciduous shrub species on Arctic LTER experimental plots in moist acidic tussock and dry heath tundra 2004, Toolik Field Station, Alaska.

Weekly growth of plant species of three growth forms were measured in the ninth year of a long-term experiment at Toolik Field Station. The experimental treatments excluded small and large mammalian herbivores and increased soil nutrients in two arctic Alaskan tundra communities: moist acidic tussock and dry heath. This data set reports the deciduous dwarf shrub species. Please see 2004lggrgram for the tussock-forming and rhizomatous graminoid species growth data.

openOpenDec 2015View details →
edi40/100

Growth data was collected on four graminoid species on Arctic LTER experimental plots in moist acidic tussock and dry heath tundra 2004, Toolik Field Station, Alaska.

Weekly growth of plant species of three growth forms were measured in the ninth year of a long-term experiment at Toolik Field Station. The experimental treatments excluded small and large mammalian herbivores and increased soil nutrients in two arctic Alaskan tundra communities: moist acidic tussock and dry heath. This data set reports the four graminoid (both tussock and rhizomatous forms) species. Please see 2004lggrbnan for Betula nana (dwarf shrub) growth data.

openOpenDec 2015View details →
edi40/100

ARCSS/TK water chemistry and total suspended sediment data from I-Minus2 and Toolik River thermokarsts and receiving streams, near Toolik Field Station, Alaska, summers 2006-2013.

Water samples were taken at 5 locations at both I-Minus2 and Toolik River thermokarst sites (10 sampling locations total). A combination of ISCO and manual grab samples were taken depending on the sampling location and year.

openCustomJan 2020View details →
edi40/100

Soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature data from Toolik Field Station, Toolik Lake, Alaska for 2000.

Weather data file for Arctic Tundra LTER site at Toolik Lake. Only the sensors that are measured every 10 minutes and averaged every three hours are include, i.e. soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature.

openOpenMar 2016View details →
edi40/100

Soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature data from Toolik Field Station, Toolik Lake, Alaska for 1993.

Weather data file for Arctic Tundra LTER site at Toolik Lake. Only the sensors that are measured every 10 minutes and averaged every three hours are include, i.e. soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature.

openOpenMar 2016View details →
edi40/100

McMurdo Dry Valleys Nitrogen and Phosphorus Dynamics in Green Creek, January 1995. Field and Modeling data

McMurdo Dry Valleys, Antarctica, contain numerous glacial meltwater streams that drain into lakes on the valley floors. Many of the streams have abundant perennial mats of filamentous cyanobacteria. The algal mats grow during streamflow in the austral summer and are in a dormant freeze-dried state during the rest of the year. NO3 and soluble reactive P (SRP) concentrations were lower in streams with abundant algal mats than in streams with sparse algal mats.  Here we describe and distribute the data associated with this study: An experimental injection of LiCl, NaNO3, and K3PO4 was conducted in Green Creek, which has abundant algal mats. Substantial hyporheic exchange occurred.  A model in which PO4 uptake occurred only in the main channel and NO3 uptake occurred in the main channel and in the hyporheic zone.  Green Creek (Gooseff, 2015) aerial flowing into Fryxell

openOpenNov 2015View details →
edi40/100

SGS-LTER Pawnee National Grassland avian road count field data in eastern Colorado, USA 1968-1990

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado. The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The Breeding Bird Survey is a large-scale survey of North American birds. It is a roadside survey, primarily covering the continental United States and southern Canada, although survey routes have recently been initiated in Alaska and northern Mexico. The BBS was started in 1966, and the over 3,500 routes are surveyed in June by experienced birders. Routes 305, Nunn and 901, Rockport are located in the area of the SGS research site. The primary objective of the BBS has been the estimation of population change for songbirds. However, the data have many potential uses, and investigators have used the data to address a variety of research and management objectives. In the USGS-BBS Home Page, results from the BBS are summarized and pictures of birds and other species are information. Data from 1966 - 2002 were managed by the SGS-LTER project. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82150.

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1983-1992) in ungrazed ESA (Ecosystem Stress Area) on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: lysimeter field data (1983-1992) on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1985-1992) in Owl Creek on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1984-1992) in Section 15, Sandy on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1984-1992) in Section 25, Shale on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1983-1992) across topography on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
zenodo36/100

Data files of 'Large spatial extension of the zero-energy Yu-Shiba-Rusinov state in magnetic field'

<p>Data files of &#39;Large spatial extension of the zero-energy Yu-Shiba-Rusinov state in magnetic field&#39;</p>

opencc-by-4.0Jan 2020View details →
zenodo36/100

Underlying data for "The role of electrostatics in enzymes: do biomolecular force fields reflect protein electric fields?"

<p>This dataset contains code, data, trajectories, and figures used in the article&nbsp;&quot;The role of electrostatics in enzymes: do biomolecular force fields reflect&nbsp;protein electric fields?&quot;.</p> <p>&nbsp;</p> <p>Contents:</p> <p>code/* - Code used to calculate electric fields from simulation trajectories&nbsp;with either polarizable or additive force fields</p> <p>data/* - Electric fields calculated for the CypA WT cis, WT trans, R55A cis,&nbsp;and R55A trans systems, with AMOEBA, Amber, or Charmm force fields. Each&nbsp;subfolder also includes a set of structural coordinates extracted at 2.5 ns&nbsp;intervals from the first simulation trajectory and used to calculate ONETEP DFT&nbsp;electric fields.</p> <p>figures/* - Underlying data and scripts used to create all figures and movies&nbsp;used in the article.</p> <p>trajectories/* - Simulation trajectories of the CypA WT cis, WT trans, R55A&nbsp;cis, and R55A trans systems</p> <p>&nbsp;</p> <p>Where appropriate, README files include instructions for regenerating data used&nbsp;in the article, and details of the Python packages and other software used to&nbsp;generate data are available in Dependencies.txt</p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

Data to "Near-optimal combination of disparity across a log-polar scaled visual field"

<p>This record contains experimental and analysis scripts (written in Matlab)&nbsp;as well as raw and processed data to reproduce the results shown in:</p> <p>Maiello, G., Chessa, M., Bex, P. J., &amp; Solari, F. (2020) Near-optimal combination of disparity across a log-polar scaled visual field. <em>PLOS Computational Biology,&nbsp;16</em>(4), e1007699.&nbsp;<a href="https://doi.org/10.1371/journal.pcbi.1007699">https://doi.org/10.1371/journal.pcbi.1007699</a></p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

Geochemical data for fluids collected in Acoculco Geothermal Field

<p>The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco&nbsp;</strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method.</p> <p>The dataset&nbsp;<strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera.&nbsp;Total depth is also included for samples collected from water wells.</p> <p>The dataset&nbsp;<strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included.</p> <p>The dataset&nbsp;<strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected&nbsp;samples from Los Azufres and Alcaparrosa natural gas manifestations.</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Data from: Heterosis of leaf and rhizosphere microbiomes in field-grown maize

<p>Data and code associated with the submitted manuscript &quot;<strong>Heterosis of leaf and rhizosphere microbiomes in field-grown maize</strong>&quot;. Detailed descriptions of each file can be found in the README.txt . The raw sequence data associated with this work can be downloaded from the NCBI Sequence Read Archive, listed under BioProject #PRJNA597058.</p>

opencc-by-4.0Mar 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.