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.
15,542
datasets available to search
ShareScore release 0.9.0
Dataset results
15,542 results for “How long”
(06)-He2019A-DS0001 – Tribolium castaneum foxQ2-5' line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
<p>(06)-He2019A-DS0001 – <em>Tribolium castaneum</em> foxQ2-5' line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
A set of videos recorded upon long-term thermocycling experiments carried out by using small containers filled with PCM candidates
<p> </p> <p>Electronic Supplementary Material for Deliverable 2.7 "<strong>Report on the final heat storage block design and long term reliability experiments".</strong></p> <p>A set of fast-forward videoclips compiled based on the images recorded during the long-term experiments on small containers filled with PCM candidates and subjected to thermocycling procedure including consecutive melting/solidification. Details on involved materials and applied temperature profiles are described in D2.7.</p> <p> </p> <p>The list of attached movies:</p> <p> </p> <p><strong>2908</strong>: Si+B mixture (3.2B wt%)/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2909</strong>: Si+B mixture (3.2B wt%)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2910</strong>: Si+B mixture (3.2B wt %)/small container made of porous graphite (Kryzaplast, Poland)</p> <p><strong>2911</strong>: Si+B mixture (3.2B wt %)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2969:</strong> Fe-Si-B alloy produced by NTNU/small container made of dense graphite IG-15 (Tanso, Sweden)</p> <p><strong>2970</strong>: Fe-Si-B alloy produced by NTNU/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2971:</strong> Fe-Si-B alloy produced by NTNU/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Soil bacterial biodiversity is driven by long-term pasture management, poultry litter, and cattle manure inputs
<p>These raw data is used as the supplementary information for the manuscript "Soil bacterial biodiversity is driven by long-term pasture management, poultry litter, and cattle manure inputs". </p>
Sustainability-Based Long-Term Management of Bridges under Multi-Hazard Exposure
<p>Corresponding data set for Tran-SET Project No. 17STOKS01. Abstract of the final report is stated below for reference:</p> <p>"Bridges are under deterioration due to various mechanical and environmental stressors. Hydraulic-related hazards (e.g., flood and scour), aggressive environmental conditions, and seismic events (e.g., earthquake) are recognized as the most significant threats to the safety of bridges. In traditional risk assessment methods for structures susceptible to damage due to floods and other natural hazards (e.g., corrosion and seismic events), future hazard predictions are conducted using historic return periods and climate records. However, recent increase in flood intensity in central-southern states indicate that future hazard occurrence rate may not necessarily follow past trends. Accordingly, current design, assessment, and management methodologies should adapt to these changes in order to ensure the satisfactory performance of bridges under the combined or cumulative action of hazards. This project addresses this need by presenting a framework for risk quantification and optimum management of bridges susceptible to damage due to floods, flood induced scour, and other gradual deterioration mechanism (e.g., corrosion and fatigue). Downscaled climate data, adopted from the global climate models, are employed to predict future flood hazard at a given location. Probabilistic simulation is used to quantify the time-dependent failure probability, which subsequently helps quantify the long-term sustainability through the systematic integration of economic, social, and environmental metrics associated with bridge failures. These profiles can be next used to obtain optimum interventions required to extend the service life while maintaining the structural performance above prescribed thresholds."</p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Long Profiles and Valley Width Data for Arroyo Hondo, Alameda Creek, and the Eel River
<p>These files contain 4 columns of data. Column 1 is distance downstream, column 2 is river elevation, column 3 is floodplain width, column 4 is an identifier indicating whether there is a landslide intersecting the channel at that location, in which case it is 1. For the Eel River site, we use lidar data as described by Mackey and Roering (2011). For the Alameda Creek/Arroyo Hondo site, we use one-ninth second USGS NED data. </p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
Data set of manuscript entitled "Spatiotemporal evolution of long- and short-term slow slip events in the Tokai region, central Japan, estimated from a very dense GNSS network during 2013–2016" submitted to the Journal of Geophysical Research: Solid Earth
<p>This data set was used for manuscript entitled “Spatiotemporal evolution of long- and short-term slow slip events in the Tokai region, central Japan, estimated from a very dense Global Navigation Satellite Systems (GNSS) network during 2013–2016” submitted to the Journal of Geophysical Research: Solid Earth. This data set includes 1 figure file, 1 station list and 26 numerical data files. Figure and numerical data are locations of GNSS stations and GNSS time series used in our submitted manuscript, respectively.</p> <p>Figure file maned “location_of_station.png” shows locations of GNSS stations used in our submitted manuscript. Blue dots denote a continuous GNSS network named GEONET was installed by the Geospatial Information Authority of Japan, and red triangles denote continuous GNSS stations constructed by the Japanese University Consortium for GPS Researchers (JUNCO) and operated by the Earthquake Research Institute at the University of Tokyo and allied universities.</p> <p>The coordinates of JUNCO station are collected in a file named “site_junco.bl”. Description of each column is as follows:</p> <p>1. Column 1: Longitude in degree.</p> <p>2. Column 2: Latitude in degree.</p> <p>3. Column 3: Station name.</p> <p>Numerical data is GNSS time series, corresponds to the corrected time series in our submitted manuscript, observed for the period between 1 January 2013 and 31 January 2016. A complete description of data set is found in our submitted manuscript. Description of each column is as follows:</p> <p> </p> <p>1. Column 1: Days since 31 December 2012.</p> <p>2. Column 2: East displacement in cm</p> <p>3. Column 3: North displacement in cm</p> <p>4. Column 4: Vertical displacement in cm</p> <p>5. Column 5: Standard deviation of east displacement in cm</p> <p>6. Column 6: Standard deviation of north displacement in cm</p> <p>7. Column 7: Standard deviation of vertical displacement in cm</p> <p> </p> <p>The numerical data in this data set includes only the 26 JUNCO stations data. Numerical data files are named by the regularity of the combination of the 4 characters station name and extension “.dat”.</p>
The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem"
<p>The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem" Yu et al. </p>
Figure 2 in The morphology of Craspedorrhynchus platystomus (Burmeister, 1838), a louse commonly found on the long-legged buzzard Buteo rufinus (Phthiraptera: Ischnocera: Philopteridae)
Figure 2. The clypeus of the male in ventral view (arrow).
Figure 6 in The morphology of Craspedorrhynchus platystomus (Burmeister, 1838), a louse commonly found on the long-legged buzzard Buteo rufinus (Phthiraptera: Ischnocera: Philopteridae)
Figure 6. Female: head and thorax, dorsal side.
Figure 5 in The morphology of Craspedorrhynchus platystomus (Burmeister, 1838), a louse commonly found on the long-legged buzzard Buteo rufinus (Phthiraptera: Ischnocera: Philopteridae)
Figure 5. Female: whole body, dorsal surface.
Plate 1 in Population status and distribution assessment of Nicobar Long-Tailed Macaque Macaca Fascicularis Umbrosus (Miller, 1902) in Nicobar Group of Islands
Plate 1. Nicobar Long tailed Macaque in its natural forested habitat.
Fig. 5 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 5. Comusia obriumoides (Thomson, 1869)
Fig. 1. Acronia luzonica Schultze, 1934 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 1. Acronia luzonica Schultze, 1934 (two color forms)
Fig. 3. Microtomographic scans ofBybeana schawalleri Huedepohl, 1996 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 3. Microtomographic scans ofBybeana schawalleri Huedepohl, 1996
Fig. 7.Mimobybe tuberculipennis Breuning, 1970 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 7.Mimobybe tuberculipennis Breuning, 1970
Fig. 8 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 8.Synixais anichtchenkoi Barševskis, 2022 (holotype)
Fig. 6 in Taxonomic notes on the less studied long-horned-beetle fauna (Coleoptera: Cerambycidae) endemic in the Philippines. Part 1.
Fig. 6.Lamprobityle danae Barševskis & Cabras, 2019
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.