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.
16,646
datasets available to search
ShareScore release 0.9.0
Dataset results
16,646 results for “four”
Options to improve the carbon balance of the harvested wood products sector in four EU countries
Open the record for dataset details and reuse information.
Effects of mycotoxin treatment on fly survival, development time, thorax length, fecundity, and longevity in four mycophagous Drosophila species
Open the record for dataset details and reuse information.
Micro-CT data and associated MATLAB scripts from the skeleton of the sea urchin Cidaris rugosa at four different resolutions
Open the record for dataset details and reuse information.
Data archive for: Fire-regime variability and ecosystem resilience over four millennia in a Rocky Mountain subalpine watershed
Open the record for dataset details and reuse information.
Four decades of climatic fluctuations and fish recruitment stability across a marine-freshwater gradient
Open the record for dataset details and reuse information.
Summer Water Quality Data from four ponds at Grafton Lakes State Park, New York, United States: 2022
Lake water quality data was collected on four ponds in Grafton Lakes State Park, NY, USA to establish long-term monitoring sites. Samples were collected once a month from May to July of 2022. Temperature and dissolved oxygen profiles were collected using a YSI Sonde. Secchi disk depths were recorded during the July sampling event.
Survival and growth of south Florida slash pines in four seasonal ponds at Archbold Biological Station, 1992-2001
These data summarize survival and plant size (height, basal diameter) for south Florida slash pine (Pinus elliottii var. densa) in four seasonal ponds at Archbold Biological Station from 1992-2001. Plants were seedlings, saplings, or small trees. The seasonal ponds were favorable for growth (0.1-0.6 m in height per year) and annual survival (usually over 80%) in the absence of fire or major flooding events. Flooding episodes during most of the study ranged from 3-11 months each year. Mortality increased with flooding intensity and decreased with plant size. Growth rates were not affected by flooding. Near the end of the study, two fires killed 72% of these pines (low intensity, prescribed) and 100% of these pines (intense wildfire). The study suggests that most seasonal ponds do not support large south Florida slash pine individuals despite generally favorable conditions, because of periodic flooding and fire.
Mercury Imports and Exports of Four Tidal Wetlands in the Sacramento Valley, California
The California Department of Water Resources (DWR) measured import and export loads of methylmercury (MeHg) and total mercury (THg) at four tidal wetlands in the Sacramento Valley of California to comply with the Central Valley Regional Water Quality Control Board’s Delta Methylmercury Total Maximum Daily Load (TMDL). In addition to mercury, DWR collected organic carbon, total suspended sediment, chlorophyll-a, temperature, dissolved oxygen, specific conductance, turbidity, total chlorophyll, velocity, level, and flow data. To do this, three sets of data were collected: 1) velocity, level, and flow data were collected continuously using an Acoustic Doppler Current Profiler, 2) continuous temperature, specific conductance, salinity, dissolved oxygen, turbidity, and total chlorophyll were collected using a water quality sonde, and 3) THg, MeHg, organic carbon, total suspended sediment, and chlorophyll-a were collected via grab samples either by sampling pole or flow-weighted composites with an autosampler.
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.
Carbon, nitrogen and phosphorus content in the seasonally thawed soils are described for four arctic tundra vegetation types located near the Toolik Field Station, Arctic LTER 1993.
Carbon, nitrogen and phosphorus content in thawed soils are described for four arctic tundra vegetation types located near the Toolik Field Station.
Land Change Trajectories across Four Watersheds in the Upper Little Tennessee River Basin
These data were collected to reconstruct spatially explicit land use/land cover change trajectories that were temporally consistent and at very high accuracies for a selection of watersheds in Macon County, NC: Cartoogechaye, Coweeta, Skeenah and Watauga. Buildings (points) and roads (lines) were digitized from historic maps and aerial photographs and aligned where necessary for temporal consistency. Land cover was simultaneously classified across all years for each 25x25m pixel (1/16 ha) in order to maximize temporal consistency.
Carbon stocks in forests transitioning to salt marsh at four sites in the Chesapeake Bay region, 2019
This data set contains measurements of carbon stocks across five vegetation zones that comprise the marsh-forest boundary at sites within Virginia (Goodwin Island and Phillips Creek) and Maryland (Monie Bay and Moneystump/Blackwater). Carbon stocks were measured from soil samples and allometric measurements collected in June-July of 2019. Soil salinity, elevation, and GPS location data are similarly included in this data set.
Interactive effects of sun-shade and dry-wet treatments on seedlings of four beech (Fagus sylvatica L.) provenances
<p>We tested whether seedlings of four beech provenances, from contrasting edaphoclimatic environments, expressed differences in trait responses to imposed water stress under sun and shade treatments. Populations from the southern range margin were expected to display greater water-stress tolerance and core populations faster growth rates in the absence of abiotic limitations.</p> <p>Seedlings germinated under controlled conditions and were grown under controlled light-x-watering treatment combinations comprising shade/sun (main plot factor) and well-watered/water-limited (split-plot factor) groups. Beech seedlings remained under the experimental conditions from May through to September.</p> <p>Multiple sampling of growth (height, branching, number of leaves, leaf length, and root collar diameter), and leaves traits reflecting photosynthetic productivity and stress tolerance were made during the spring and summer. Leaf level gas exchange was measured by IRGA, leaf pigmentation by multiple optical sensors, leaf water potential with a pressure chamber, as well as plants and leaf morphological traits at the end of the experiment.</p> <p>Methods and Results are described in detail in the manuscript: Title: <strong>Seedlings from marginal and core populations of European beech (<em>Fagus sylvatica </em>L.) respond differently to imposed drought and shade. </strong>Authors: Fang Wang, David Israel, José-Alberto Ramírez-Valiente, David Sánchez-Gómez, Ismael Aranda, Pedro J Aphalo, T Matthew Robson.</p> <p>Files added are:"OverallData.xlsx" are the raw leaf level data collected in the experiment for the traits recorded, arranged in spreadsheets according to measurement type. Sheets are: "SoilMoistureRData", "PARData", "GasExchangeFigureData", "LeafObsData", "GrowthData", "LeafTraitsFigureData".</p> <p>"SummaryData.xlsx" are the individual replicate plot level summary data (calculated from the OverallData in R) for use in statistical analyses. Sheets are: "comparison", "GasExchangeSummary", "LeafTraitsSummary".</p> <p>"FMIradiation1hrData.xlsx" and "FMIradiation10minData.xlsx" Downloaded FMI irradiance data for the period of the experiment from Kumpula Meteorological Station (at 1hr and at 10 min interval), organised and arranged in spreadsheets: FMIradiation....xlsx files</p> <p>"Statistical Tables.docx" are summaries of the statistical tables calculated from the experimental data.</p> <p>"Statistics.zip" contains individual excel files showing the statistical analyses, least squared means, and pairwise comparisons for each analysed trait, plus the statistical code used to run these analyses. One file put trait- these files are summarised in "Statistical Tables.docx"</p> <p>"Plasticity Index.docx" show the results of calculated plasticity index for each of the traits measured, and details of how this calculation was performed.</p>
Figure 1 in Life table parameters of Tetranychus urticae (Trombidiformes: Tetranychidae) on four strawberry cultivars
Figure 1. Age-stage survival rate (Sxj) of Tetranychus urticae on four strawberry cultivars.
Fig. 1 in Four new species of the subfamily Candoninae (Crustacea, Ostracoda) from freshwater habitats in Japan
Fig. 1. Map of the main islands of Japan, showing the localities mentioned in the text.
Intaglio. Oval intaglio in onyx engraved with a standing lion; above a brāhmī inscription in four characters.
<p>Intaglio. Oval intaglio in onyx engraved with a standing lion; above a brāhmī inscription in four characters. British Museum 1892,1103.124.</p>
Data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>Collection of data files used in the paper titled: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation.</p> <p>Additional dataset which covers the noise study CT scans and digital volume correlation noise studies can be found in DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3361832</a></p> <p><strong>Data contains the following:</strong></p> <ul> <li>X-ray CT data for the interrupted direct shear tests of a soil sample containing a Willow plant. The first file is the specimen scanned unloaded, followed by seven incremental shear load steps to 20 mm shear displacement. Files are 8-bit unsigned and 1800x1800x1600px. Voxel resolution is 0.04642 mm. <ol> <li><strong>20180430_HUTCH_1839_DJB_willow_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_A_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_B_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_D_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_E_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_F_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_G_8-bit_1800x1800x1600.raw</strong></li> </ol> </li> <li>Direct shear vs. displacement data is presented in an Excel spreadsheet: <ul> <li><strong>All_load_data_with_reducing_area.xlsx</strong></li> </ul> </li> <li>Normal and shear strain DVC data which has been averaged and plotted against specimen depth is presented in an Excel spreadsheet: <ul> <li><strong>Average_slice_vs_depth_data_all_samples_all_loads3.xlsx</strong></li> </ul> </li> <li>CT scan metadata giving information to the scan settings, voxel resolution, etc. is contained in a .zip file which consists of .xtekct and .XML files generated from the Nikon CT scanner. <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Drawings and Solidworks CAD files of the direct shear test rig are contained within the .zip file. There are a number of parts to the assembly. The file SSSB1003-5.SLDASM contains the complete assembly of the direct shear rig and will help identify the part names. The folder CAD_Drawings contains pdf documents of the part drawings. <ul> <li><strong>Direct_Shear_Drawings_Solidworks_Files.zip</strong></li> </ul> </li> <li>Tabulated DVC data taken at 32x32x32px subset size is contained inside a .zip file. These consist of tab separated .dat files from unloaded (data_1.dat) through incremental load steps Load A, Load B... Load G, (data_2.dat, data_3.dat... data_8.dat). The structure of the .dat file contains columns of data with each column number corresponding to the following: (1) x, (2) y (3) z, (4) vx, (5) vy, (6) vz, (7) exx, (8) eyy, (9) ezz, (10) exy, (11) exz, (12) eyz, (13) volumetric strain, (14) is valid. Columns 1-3 are subset positions in mm, 4-6 are displacements in mm, 7-9 are normal strains, 10-12 are shear strains, 13 is volumetric strain and 14 is a binary value indicating if the subset is valid. <ul> <li><strong>DVC_Load_Data_Willow_C.zip</strong></li> </ul> </li> <li>Tabulated DVC data applied to the load step CT data at 32, 48, 64, 96, 128 pixels is presented in the .zip files containing .dat tab separated files. The structure of the .dat files is described in the previous bullet point. These files were used to construct the noise study applied to incrementally loaded CT data by sampling regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>DVC_Noise_Study_Data_Load_Steps_Willow_C.zip</strong></li> </ul> </li> <li>Processed noise study data which compares the effects of DVC subset size is presented in the .xlsx file. This file contains both the controlled noise experiment data (stationary, magnification and rigid body motion) and noise study data applied to incrementally loaded data using sampled regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>Willow_C_Processed_Noise_study2.xlsx</strong></li> </ul> </li> <li>Tabulated data which compares the local x displacement vs depth profile from DVC and direct measurement of root position is contained in the following Excel spreadsheet file: <ul> <li><strong>X_Displacement_Root_and_DVC_Comparison_Willow C.xlsx</strong></li> </ul> </li> </ul>
Fig. 13 in Philippine mossy forest stick insects: first record of the genus Otraleus Günther, 1935 in the country, with four new species, and the new genus Capuyanus gen. nov. (Phasmida, Diapheromeridae, Necrosciinae)
Fig. 13. Otraleus spp. and Capuyanus magwilangi sp. nov. Distribution map in Luzon.
Fig. 30 in Oosagitta gen. nov. from tropical Africa, with revision of two species and description of four new species (Coleoptera: Chrysomelidae, Galerucinae)
Fig. 30. Holotype of O. melanopicta sp. nov. A. Overview with labels. B. Close-up of specimen.
Fig. 18 in Oosagitta gen. nov. from tropical Africa, with revision of two species and description of four new species (Coleoptera: Chrysomelidae, Galerucinae)
Fig. 18. Holotype of O. anningae sp. nov. A. Overview with labels. B. Close-up of specimen.
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.