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
Dataset results
1,891 results for “Field data”
Data from: Whether larval amphibians school does not affect the parasite aggregation rule: testing the effects of host spatial heterogeneity in field and experimental studies
Open the record for dataset details and reuse information.
Data from: Population genetic and field ecological analyses return similar estimates of dispersal over space and time in an endangered amphibian
Open the record for dataset details and reuse information.
Data from: Genetic and epigenetic divergence between disturbed and undisturbed subpopulations of a Mediterranean shrub: a 20-year field experiment
Open the record for dataset details and reuse information.
Data from: Direct and indirect effects of sexual signal loss on female reproduction in the Pacific field cricket (Teleogryllus oceanicus)
Open the record for dataset details and reuse information.
Data from: Metabolism drives demography in an experimental field test
Open the record for dataset details and reuse information.
Data from: Geomagnetic field influences upward movement of young Chinook salmon emerging from nests
Open the record for dataset details and reuse information.
Egg laying behavior of the common cuckoo (Cuculus canorus): data based on field video-recordings
Open the record for dataset details and reuse information.
Data from: Floral resource diversification promotes solitary bee reproduction and may offset insecticide effects – evidence from a semi-field experiment
Open the record for dataset details and reuse information.
Field data and microsatellite genotypes of Cercidiphyllum japonicum
Open the record for dataset details and reuse information.
Dispatches from the neighborhood watch: using citizen science and field survey data to document color morph frequency in space and time
Open the record for dataset details and reuse information.
Data for: Decomposability of leaf and wood litter are not correlated across species: Effects of litter traits on decomposition in field and laboratory conditions
Open the record for dataset details and reuse information.
Data from: A search for technosignatures from 14 planetary systems in the Kepler field with the Green Bank Telescope at 1.15–1.73 GHz
Open the record for dataset details and reuse information.
Daily weather summaries (temperature, precipitation and wind) for station SAN DIEGO LINDBERGH FIELD, CA US (GHCND:USW00023188), obtained from NOAA National Climatic Data Center and re-published through CCE LTER data system for community use as regionally relevant data, 1939 - Oct 2019.
Data provided here are obtained from the Global Historical Climatology Network - Daily (GHCN-Daily) database, provided by NOAA National Centers for Environmental Information (formerly NCDC). Data are periodically downloaded by CCE LTER Information Management and imported into the local data system for use by the local scientific community as regionally relevant data. The data contained in this dataset are from the SAN DIEGO LINDBERGH FIELD, CA US station (GHCND:USW00023188) at 32.7336°, -117.1831° beginning in July 1, 1939. The Global Historical Climatology Network - Daily (GHCN-Daily) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCN-Daily is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCN-Daily station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.
Transient storage in Huey Creek, January 1992 - Field and Modeling data
Abstract copied from Runkel, R.L., McKnight, D.M. and Andrews, E.D., 1998, Analysis of transient storage subject to unsteady flow: Diel flow variation in an Antarctic stream: Journal of North American Benthological Society, v. 17, no. 2, p. 143-154. Transport of dissolved material in streams and small rivers may be characterized using tracer-dilution methods and solute transport models. Recent studies have quantified stream/substream interactions using models of transient storage. These studies are based on tracer-dilution data obtained during periods of steady flow. We present a modeling framework for the analysis of transient storage in stream systems with unsteady flows. The framework couples a kinematic wave routing model with a solute transport model that includes transient storage. The routing model provides time-varying flows and cross-sectional areas that are used as input to the solute transport model. The modeling framework was used to quantify stream/substream interaction in Huey Creek, an Antarctic stream fed exclusively by glacial meltwater. Analysis of tracer-dilution data indicates that there was substantial interaction between the flowing surface water and the hyporheic (substream) zone. The ratio of storage zone area to stream cross-sectional area (As/A) was bigger than 1 in all stream reaches, indicating that the substream area contributing to hyporheic exchange was large relative to stream cross-sectional area. The rate of exchange, as governed by the transient storage exchange coefficient (α), was rapid because of a high stream gradient and porous alluvial materials. Estimates of α generally exceed those determined for other small streams. The high degree of hyporheic exchange supports the hypothesis that weathering reactions within the hyporheos account for observed increases in solute concentration with stream length, as noted in other studies of Antarctic streams.
Long-term data from field erosion plot studies in eastern Austria
<p>The data include measured data for three different soil tillage practices from three experimental sites in eastern Austria. The Tables 1-3 include for each site and each year the period of operation, the planted crop, the annual precipitation, the surface runoff in mm, the soil loss in t/ha and the surface losses of total nitrogen, total phosphorus and soil organic carbon in kg/ha. Crop yields were determined from 45 m² large plots with one or two replications. Yields in kg/ha are not available for all years, but relative yield in % are.</p> <p>The experiments were conducted at three sites in eastern Austria: in Mistelbach, Pixendorf and Pyhra. The soils in Mistelbach and Pyhra are classified as Typic Argiudolls while the soil in Pixendorf is an Entic Hapludoll. Soil textures range from silt loam to loam. Average annual rainfall (1994-2018) at the sites amounts from 621 to 916 mm with average annual air temperatures between 9.4 and 10.4 °C.</p> <p>Following soil tillage treatments were investigated: (1) conventional tillage system with ploughing in fall (CT), (2) mulch tillage with cover crops during winter (MT) and (3) no-till with cover crops during winter (NT). The study design was a randomized block and each treatment was replicated twice. Each treatment was equipped with one field runoff plot. The experimental plots were 6 m wide and – depending on site conditions - between 40 and 80 m long. The study design consisted of 3 (Mistelbach) and 4 m wide (Pixendorf, Pyhra) and 15 m long runoff plots for each management variation. Each plot was bordered by stainless steel metal sheets. At the lower end of the plot surface runoff and soil loss were collected in a trough and then diverted by a 100-mm PVC pipe to an Automated Erosion Wheel (AEW). The design of this AEW is similar to a tipping bucket and consists of four equal sections of five liters resulting in a resolution of each tip of 0.08 mm for 60 m² plots. A magnetic sensor system was used for continuous runoff measurement.</p> <p>Soil-water-suspension was divided by an adapted multi-tube divisor taking 3.3% of the sample that is collected in a 60 L collection tank. After each erosive storm the collection tank was emptied and the runoff sample was brought to the laboratory, weighed and dried until constant mass was achieved to determine sediment concentration. Based on the continuously measured runoff data from the data logging system and the sediment concentration the amount of soil loss from the plots was calculated for each erosive event.</p> <p>Throughout the investigation period soil erosion, surface runoff and nutrient and carbon losses and partly also pesticide losses due to erosion processes were determined for all sites and tillage systems. Immediately after planting/seeding of summer crops the erosion plots were installed and then operated until harvest. After the harvest the equipment was removed. No measurements were performed during winter due to limited accessibility and frost damages to the equipment. At each site an automatic tipping bucket rain gauge was placed to measure rainfall in 5-min intervals.</p> <p>Crop yield was determined from each treatment with three replications.</p> <p>Total nitrogen and total carbon in sediment samples was analysed by dry combustion [3](OeNorm L1080, 1989) using a C/N Analyzer (Vario Max CN, Elementar). Soil organic carbon content was obtained by subtracting inorganic carbon content measured volumetrically by the Scheibler method with a Calcimeter (OeNorm L1084, 1989). Total phosphorus of the sediment was determined using a UV/VIS spectral photometer (DU-640 Beckmann).</p> <p>Pesticides were extracted from water by solid phase extraction and from sediments using distilled water or organic solvent [6]. After shaking for several hours and centrifugation, the sample passed through a solid phase extraction. After evaporation of the extract the pesticide residues were redissolved in another solvent and analysed with high performance liquid chromatography (HPLC).</p>
Input data of phylogenetic field analysis for exotic seed plants in Japan
<p>This release includes the dataset for evaluating phylogenetic fields of exotic plant species in Japan: co-occurrence matrices between Japanese native species (exotic vs all native seed plants at 10 km grid cells; exotic vs endemic native seed plants at 10 km grid cells; exotic vs all native seed plants at vegetation plots; exotic vs endemic native seed plants at vegetation plots), exotic species list with their species attributes (geographical extent within Japan, climatic niche widths, minimum residential time, disturbance dependency, origin place, and mean phylogenetic distance from their native recipients), and phylogenetic tree for native and exotic seed plants. </p>
Raw magnetometer data for magnetic field intensity in central Lithuania during the years 2016 and 2017
<p>Lithuanian University of Health Sciences, in cooperation with Kaunas University of Technology and other international partners, have possibility to analyze local GMF data since the installation of a highly sensitive magnetometer in Baisogala, Lithuania in 2014. It was installed by the HeartMath Institute in California, USA. The HeartMath Institute maintains a network of highly sensitive calibrated induction coil magnetometers (Zonge ANT-4; sensitivity e-12 T) as part of a special project called the Global Coherence Initiative (<a href="https://www.heartmath.org/gci/">heartmath.org/gci</a>).</p> <p>The zip archives contains raw magnetometer data for geomagnetic field intensity in central Lithuania during years 2016 and 2017 (with the permission of HeartMath Institute).</p> <p>Each *.mat file comprises two variables:<br> M_raw - raw data;<br> t - corresponding unix timestamps.</p> <p>Data is recorded at average 130.2083 Hz sampling rate. The raw values must be multiplied by the factor 1000/(2^20) to be represented as pico Teslas. Here only the magnetic field's intensity in East/West direction is provided.</p>
Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences
<p>Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences.</p> <p>This file is a digital supplement to William H. Walters, "Data journals: incentivizing data access and documentation within the scholarly communication system," <em>Insights: The UKSG Journal</em> 33, article 18 (June 10, 2020), 1–20, <a href="http://doi.org/10.1629/uksg.510">http://doi.org/10.1629/uksg.510</a>.</p>
Data for: Fluid Geochemistry of Hot Springs at the Tengchong Field, Southwest China
<p>Major elements analyses of the vent fluid in the Tengchong hydrothermal system</p>
Field and Genetic Profile Data for Grizzly Bear Hair-Snag Sampling and Scat Sampling along Roads in North America
<p>These datasets contain field or genetic profile data for grizzly bear hair-snag sampling and scat sampling along roads in North America. See method details in the published article: Phoebus et al. 2020. A Comparison of Grizzly Bear Hair-Snag Sampling and Systematic Scat Sampling along Roads to Inform Wildlife Population Monitoring. Wildlife Biology, WLB-00697. </p> <p>An inadequate sample in the field data means that the particular lab test failed (i.e. species, sex or individual identification test) likely due to poor sample quality (i.e. too little DNA in the sample). </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.