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958 results for “Data quality”

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zenodo40/100

Climatic records and within field data on yield and harvest quality over a whole vineyard estate.

<p>The data were obtained on a 30 ha vineyard located in a peri-urban area near a city of 10,000 inhabitants (Villeneuve-l&egrave;s-Maguelone, France; 43.532300&deg; N, 3.864230&deg; E). The data includes 3 types of data:</p> <ul> <li> <p><strong>Block(s) data</strong>: the data describes each vineyard block. The description parameters of the blocks are the identity, the year of plantation, the variety of the grapes, the area, the inter-row distance and vine-distance. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 68 features.</p> </li> <li> <p><strong>Agronomic data</strong>: The data describes production parameters for each &ldquo;harvest sector&rdquo; for the 2022 harvest season. A harvest sector is the area covered by the harvester to fill a harvest trailer before its departure to a cellar. The mean area of these harvest sectors over the vineyard is equal to 0.3 ha. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 87 features associated with 87 harvest sectors. Each harvest sector is characterized by the harvest date, the block(s) id(s) that it belongs to, the percentage of unproductive plants(Uplants) and yield parameters (Mass, Yield and Yield PP). For 50 of them, harvest quality parameters are available (Sugar, Alcohol, Total acidity, pH, Yeast Assimilable Nitrogen and Organic Nitrogen).</p> </li> <li> <p><strong>Weather data</strong>: the data consists of meteorological data for the 2020, 2021 and 2022 years recorded by a weather station located in the center of the vineyard. The recorded parameters are the followings: date, hour, relative humidity, rain gauge and air temperature. The acquisition time step is 15 minutes. The data are provided in Comma Separated Values (CSV) format. It is composed of 97988 lines. Each line describes meteorological data recorded at a given time.</p> </li> </ul>

opencc-by-4.0Apr 2023View details →
dryad40/100

Data from: Home is where the high-quality resources are: nursery characteristics and territory distribution suggest reproductive resource defense in golden rocket frogs

<p><span>For externally fertilizing animals, the early stages of development are often the most precarious. In the face of multiple abiotic and biotic stressors, parents must assess and select rearing sites that maximize the probability of offspring survival. This is particularly true for Neotropical poison frogs, many of which transport tadpoles to small pools of water called phytotelmata that serve as larval-rearing sites. In these systems, pool choice can have a large effect on offspring growth and survival. Here, we studied the golden rocket frog (</span><em>Anomaloglossus</em> <em>beebei</em>, Aromobatidae), a territorial phytotelm-breeding frog that lives exclusively in giant tank bromeliads (<em>Brocchinia</em> <em>micrantha</em>), to examine phytotelm selection and reproductive resource defense. We first quantified the characteristics of phytotelmata and found that tadpoles were more likely to occur in pools with low levels of mucilage and in leaves at intermediate heights on the plant. We additionally found that low mucilage pools have significantly clearer water, have higher concentrations of dissolved oxygen, and are exposed to lower levels of photosynthetically active radiation. We then mapped the spatial distribution of pools with low levels of mucilage in relation to male territories and found that these "clear" pools are (1) more likely to be within male territories than outside of them, and (2) territory centroids are closer to clear pools than are random locations. Overall, our results show that male golden rocket frogs defend territories that include preferred tadpole deposition sites, suggesting a direct relationship between high-quality reproductive resources and territory defense.</p>

opencc-zeroOct 2023View details →
zenodo40/100

GIS and Pollution Data: Designating Regional Airsheds for Air Quality Management in India

<p>Full journal article published here<br><strong>Designating Airsheds in India for Urban and Regional Air Quality Management<br></strong><a href="https://doi.org/10.3390/air2030015" target="_blank" rel="noopener">https://doi.org/10.3390/air2030015</a><strong><br></strong></p> <p>[Summary presentation&nbsp;<a href="https://urbanemissions.info/wp-content/uploads/docs/UEinfo-Designating-Airsheds-in-India.pptx">download</a>]</p> <p>Datasets used for proposing India's 15 regional airsheds for air quality management are the following</p> <p>PM2.5 Datasets<br>Raw data source: <a href="https://sites.wustl.edu/acag/datasets/surface-pm2-5">https://sites.wustl.edu/acag/datasets/surface-pm2-5</a></p> <ul> <li>Gridded 0.1 degree resolution source apportionment results from WUSTL's global model simulations<br>File: india_data_pm25_wustl_source_cont_0p1deg.xlsx<br>Aggregated Source definitions used in this presentation <ul> <li>1. DUST = Anthropogenic dust = AFCID</li> <li>2. WINDUST = Wind erosion (dust storms) = WDUST</li> <li>3. WASTE = Waste burning = WST</li> <li>4. RESI = All commercial and residential cooking, lighting, and heating = RCOC + RCOO + RCORbiofuel + RCORcoal + RCORother</li> <li>5. TRANS = All transport (excluding aviation) = ROAD + NRTR + SHP</li> <li>6. POWER = Energy generation = ENEcoal + ENEother</li> <li>7. INDUS = All industries and product use = INDcoal + INDother + SLV</li> <li>8. BIOB = Biomass burning, including forest fires and agricultural waste burning = GFEDoburn + GFEDagburn</li> <li>9. AGR = Agricultural activities (excluding agricultural waste burning) = AGR</li> <li>10. OTHER = All others = OTHER</li> </ul> </li> <li>Gridded 0.1 degree resolution, reanalysis data from WUSTL's global model simulations<br>File: india_data_pm25_wustl_reanalysis_0p1deg.xlsx<br>Time period: 1998 to 2022, annual averages</li> <li>Gridded 0.1 degree achive for monthly averages from WUSTL's global model simulations<br>File: <a href="https://www.urbanemissions.info/wp-content/uploads/misc/IndiaSubcontinent-Gridded-Monthly-WUSTL-v4.rar">Download-44MB</a></li> </ul> <p>Population Datasets<br>Raw data source: <a href="https://landscan.ornl.gov">https://landscan.ornl.gov</a></p> <ul> <li>Gridded 0.1 degree resolution population density data<br>File: india_data_population_2021_0p1deg.xlsx</li> </ul> <p>GIS databases used in this study</p> <ul> <li>ESRI shapefile of 0.1 x 0.1 degree mesh file for the Indian Subcontinent covering longitudes from 67E to 99E and latitudes from 7N to 39N<br>File: india_gis_grids-0.1x0.1deg.rar</li> <li>ESRI shapefile of India administrative level 2 data - 28 states and 8 union territories (as of December 2023)<br>File: india_gis_states28+8_2023.rar</li> <li>ESRI shapefile of India administrative level 3 data - 755 districts (as of December 2023): district23 and states23 codes are re-designed for emissions and pollution mapping and data tracking purposes<br>File: India_gis_districts755_2023.rar (original source: <a href="https://projects.datameet.org/maps">https://projects.datameet.org/maps</a>)</li> <li>ESRI shapefile of India's Agro-Climatic zones<br>File: india_gis_agroclimatic_zones.rar (original source: <a href="https://karnataka.data.gov.in/resource/boundaries-agro-climatic-regions">https://karnataka.data.gov.in/resource/boundaries-agro-climatic-regions</a>&nbsp;</li> <li>ESRI shapefile of India's meteorological sub-divisions<br>File: india_gis_meteo_subdivisions.rar (original source: <a href="https://mausam.imd.gov.in/">https://mausam.imd.gov.in</a>)</li> </ul>

opencc-by-4.0May 2024View details →
dryad40/100

Data for: Intraspecific variation in dispersal probability and host quality shape nectar microbiomes

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publicAug 2023View details →
dryad40/100

Data from: Resilience metrics are robust across data qualities but sensitive to community size models

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publicSep 2023View details →
dryad40/100

Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history

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publicMar 2023View details →
dryad40/100

Data from: Home is where the high-quality resources are: nursery characteristics and territory distribution suggest reproductive resource defense in golden rocket frogs

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publicOct 2023View details →
dryad40/100

Data and code for: Moisture and competition constrain ephemeral resource quality for burying beetle reproduction

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publicMay 2025View details →
dryad40/100

Data supplement to: Quality control of image sensors using gaseous tritium light sources

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publicFeb 2022View details →
dryad40/100

Data from: Variation in nuptial colour in relation to sex, individual quality and mating success in the sex-role reversed red phalarope (Phalaropus fulicarius)

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publicApr 2024View details →
dryad40/100

Data from: The interactive effects of heat stress, parasitism, and hostplant quality in a host-parasitoid system

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publicDec 2023View details →
dryad40/100

Data from: Responses of juvenile blacklegged ticks (Acari: Ixodidae) to hosts of varying quality

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publicJul 2024View details →
dryad40/100

Data from: Evaluating staging habitat quality to advance the conservation of a declining migratory shorebird, Red Knot Calidris canutus

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publicMay 2022View details →
dryad40/100

Data and R code from: Resource quantity and quality co-limit consumer production in forest streams

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publicJun 2025View details →
dryad40/100

Data from: Habitat quality influences pollinator pathogen prevalence through both habitat–disease and biodiversity–disease pathways

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publicOct 2022View details →
dryad40/100

Data from: aniMotum, an R package for animal movement data: rapid quality control, behavioural estimation and simulation

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publicDec 2022View details →
dryad40/100

Data from: Quality versus quantity: Response of riparian bird communities to aquatic insect emergence in agro-ecosystems

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publicJan 2025View details →
dryad40/100

Data from: Productive foraging grounds enhance maternal condition and offspring quality in a capital breeding species

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publicOct 2024View details →
dryad40/100

Data from: Forest degradation limits the complementarity and quality of animal seed dispersal

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publicMay 2022View details →
dryad40/100

Data from: Does the history of option quality affect nest site choice in the acorn ant?

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publicApr 2024View details →

ScienceDex guides

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

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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

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