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9,786 results for “selection”
ERA5-Land selected indicators daily aggregates for Africa, 1953
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1953.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1954
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1954.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1957
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1957.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1955
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1955.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1950
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1950.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Europe, 2022
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Europe for 2022.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for Europe, 2023
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Europe for 2023.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
Article fit data for selected journals (2015-2019)
<p>This dataset contains metadata and article fit scores for articles published in selected scholarly journals from 2015-2019 (inclusive), as well as a random sample of articles assigned to random journal IDs, and their fit scores therein. Article metadata is drawn from OpenAlex using the openalexR package ca. April 2024.</p>
Data from: "Imprinted habitat selection varies across dispersal phases in a raptor species"
<p><span><span>Natal Habitat Preference Induction (NHPI) plays a significant role in shaping settlement decisions in dispersive animals. Despite its importance, limited research has explored how NHPI varies during natal dispersal phases and across different types of natal habitats. In this study, we examined NHPI in 77 GPS-tagged juvenile red kites <em>(Milvus milvus</em>) originating from different natal habitats along an elevational gradient in Switzerland. We applied individual-based step selection analysis to investigate habitat selection from independence to settlement. We found that during the prospecting phase, individuals predominantly selected habitats similar to their natal environments. However, this pattern changed in the settlement phase: individuals fledged from habitats at higher elevations or closer to urban areas mostly avoided similar habitats (negative NHPI), while those from areas with more farmlands or pastures (combined with forests) showed a preference for similar habitats (positive NHPI). Moreover, the magnitude and individual variation in NHPI differed depending on the natal habitat types from which individuals originated. These findings highlight that strength, direction, and individual variation in NHPI differ between natal habitat types and dispersal phases. Natal habitats therefore can have pervasive legacy effects on subsequent habitat selection, likely affecting population and range dynamics.</span></span></p>
Insights into the Cyst Organisation and Selected Morpho-Physiological Aspects of Encystment in Thulinius ruffoi
<p>This dataset is related with studies on morpho-physiological aspects of encystment in Thulinius ruffoi (Parachela, Isohypsibioidea: Doryphoribiidae). Data gathered to elucidate the adaptations of these microinvertebrates to environmental changes. Encystment is an adaptive response in tardigrades triggered by environmental cues and potentially by internal factors. The dataset provides insights into cellular organization, morphology, and anatomy during cyst formation in selected tardigrade species. This dataset is supplemented by two others available at <a target="_new" rel="noopener">10.5281/zenodo.10008352</a> and <a target="_new" rel="noopener">10.5281/zenodo.11213808</a>.</p>
Facile synthesis of CuxS electrocatalysts for CO2 conversion into formate and study of relations between Cu and S with the selectivity
<p>Datasets for figures provided in the manuscript main text.</p>
Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment
<p>NMR spectra data for diffusion experiments.</p> <p>NMR pulse sequence compatible with Bruker spectrometers for the selective diffusion measurement.</p>
R code and data for "Flake selection and scraper retouch probability: an alternative model for explaining Middle Paleolithic assemblage retouch variability"
<p>R code and data used for "Flake selection and scraper retouch probability: an alternative model for explaining Middle Paleolithic assemblage retouch variability" (Archaeological and Anthropological Sciences, Volume 10, Issue 7, pp 1791–1806)</p>
Supplemental data from: Nature or nurture: A genetic basis for the behavioral selection of depth in siscowet and lean lake charr (Salvelinus namaycush) ecomorphs
<p>These files contain the raw depth and temperature sensor data from siscowet and lean lake charr (<em>Salvelinus namaycush</em>) ecomorphs tagged with pop-up satellite archival tags (PSATs). These fish were produced from wild gametes taken from Lake Superior and reared in a common garden study for nine years and then tagged with PSATs and released in southern Lake Superior. The dataset is supplemental to:</p> <p>Goetz, F., Sitar, S., Seider, M., and Jasonowicz, A. 2022. Nature or nurture: A genetic basis for the behavioral selection of depth in siscowet and lean lake charr (<em>Salvelinus namaycush</em>) ecomorphs. Canadian Journal of Fisheries and Aquatic Sciences. (in press).</p> <p><strong>Data description for metadata.csv:</strong></p> <p>This file contains the metadata associated with each tag deployment. This includes biological data as well as key mission paramters.</p> <table> <thead> <tr> <td>Column</td> <td>Type</td> <td>Description</td> </tr> </thead> <tbody> <tr> <td>mission_id</td> <td>integer</td> <td>mission identifier</td> </tr> <tr> <td>tag_sn</td> <td>integer</td> <td>tag serial number</td> </tr> <tr> <td>ecotype</td> <td>string</td> <td>lake trout ecotype</td> </tr> <tr> <td>release_date</td> <td>string</td> <td>date of tag release</td> </tr> <tr> <td>length_mm</td> <td>float</td> <td>total length in mm</td> </tr> <tr> <td>weight_g</td> <td>float</td> <td>weight in g</td> </tr> <tr> <td>lipid</td> <td>float</td> <td>lipid level meadured by Distell fatmeter set in research mode</td> </tr> <tr> <td>release_site</td> <td>string</td> <td>release site (deep or shallow site)</td> </tr> <tr> <td>sampling_rate</td> <td>string</td> <td>sampling interval of tag (format=HH:MM:SS)</td> </tr> <tr> <td>mission_end_utc</td> <td>datetime</td> <td>programmed tag pop off date and time in UTC time (format=YYYY-MM-DD HH:MM:SS)</td> </tr> <tr> <td>notes</td> <td>string</td> <td>notes and comments</td> </tr> </tbody> </table> <p> </p> <p><strong>Data description for the raw sensor data files:</strong></p> <p>The raw sensor data is found in the files that are prefixed with "raw-sensor-data". The data for each tag is in contained in a seperate file and the files are named as follows "raw-sensor-data-{<em><strong>mission_identifier</strong></em>}-{<em><strong>tag_serial_number</strong></em>}.csv".</p> <table> <thead> <tr> <td>Column</td> <td>Type</td> <td>Description</td> </tr> </thead> <tbody> <tr> <td>mission_id</td> <td>integer</td> <td>mission identifier</td> </tr> <tr> <td>tag_sn</td> <td>integer</td> <td>tag serial number</td> </tr> <tr> <td>timestamp_utc</td> <td>datetime</td> <td>timestamp of sensor reading (format=YYYY-MM-DD HH:MM:SS)</td> </tr> <tr> <td>depth_m</td> <td>string</td> <td>depth in meters</td> </tr> <tr> <td>temperature_c</td> <td>string</td> <td>temperature in degrees celcius</td> </tr> </tbody> </table>
IMDB Selection Database
<p>Selection of top 1000 entries of each gender in IMDB..</p> <p>Contains information of:</p> <ul> <li>title -> title of the entry</li> <li>genres -> list genres of the entry</li> <li>score -> mean rating from the viewers</li> <li>people_votin -> number of votes</li> <li>normal_number_of_reviews -> number of reviews from normal userss</li> <li>prof_number_of_reviews -> number of reviews from professionals</li> <li>type_filmed -> type of content ( e.g. TV Series / original )</li> <li>year -> release year</li> <li>year_certification -> Age restriction certification</li> <li>runtime -> length of chapter / movie</li> <li>country -> Country where it was produced</li> <li>creators -> List of name of the directors</li> <li>cast -> List of names of the actors </li> <li>plot -> brief summary of the plot</li> <li>JPEG_link -> link to JPEG promotional image </li> </ul> <p>This is a sumulated dataset.</p>
Data from: Nest orientation and proximity to snow patches are important for nest site selection of a cavity breeder at high elevation
<p><strong>Abstract</strong></p> <p>Reproductive timing and location are central to breeding success across taxa. Many species have evolved specific strategies to cope with environmental variability including shifts in timing of reproduction tracking resource availability or selecting favourable nest location. In mountain ecosystems, complex topography and pronounced seasonality result in particularly high spatiotemporal variability of environmental conditions, and the risk of climate-induced resource mismatches is particularly acute given that temperature is increasing more rapidly than in the lowlands.<br>We investigated how a high-elevation passerine, the white-winged snowfinch <em>Montifringilla nivalis</em>, selects its nest site in relation to nest cavity characteristics, habitat composition and snow condition. We used a combination of field habitat mapping and satellite remote sensing to compare occupied nest sites with randomly selected pseudo-absence sites. In the first half of the breeding season, snowfinches preferred nest cavities oriented towards the morning sun while they used cavities proportional to their availability later on. This preference might relate to the nest microclimate offering eco-physiological advantages, namely thermoregulatory benefits for incubating adult and nestlings under the harsh conditions typically encountered in the alpine environment. Nest sites were consistently located in areas with greater-than-average snow cover at hatching date, likely mirroring the foraging preferences for tipulid larvae developing in meltwater along snowfields. Due to the particularly rapid climate shifts typical of mountain ecosystems, spatiotemporal mismatches between foraging grounds and nest sites are expected in the future, which may negatively influence demographic trajectories of the species concerned. The installation of well-designed nest boxes in optimal habitat configurations could to some extent help mitigate this risk.</p> <p> </p>
Data from: Capacity and selection in immersive visual working memory following naturalistic object disappearance
<p>Trial datasets and timeseries datasets associated with the experiment reported in the manuscript "Capacity and selection in immersive visual working memory following naturalistic object disappearance", by Babak Chawoush, Dejan Draschkow & Freek van Ede</p>
Dataset used in the publication entitled "Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids" presented at 2022 20th International Conference on Harmonics and Quality of Power (ICHQP)
<p>Dataset obtained from experimental research carried out in a real power grid. Based on the dataset, the problem of decomposition in identification of sources of voltage fluctuations has been presented in the publication: Kuwałek P., Decomposition Problem in Process of Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids, <em>Proceedings of the 20th International Conference on Harmonics and Quality of Power</em>, IEEE , art. no. 43, 2022, Italy, Naples. The description of the power grid model is presented in this publication. The research results are part of the work under the project entitled "Voltage fluctuation diagnostic focused on identification and localization disturbing loads in power grids" funded by the National Science Centre, Poland - 2021/41/N/ST7/00397.</p>
Restriction of access to the central cavity is a major contributor to substrate selectivity in plant ABCG transporters
<p>The input and main output files used for the paper <em><strong>"Restriction of access to the central cavity is a major contributor to substrate selectivity in plant ABCG transporters"</strong></em> are separated in the different tar files depending the MD stage they belong to.</p> <p><strong>Content</strong></p> <p>00_AlphaFold2: The models predicted from AlphaFold2</p> <p>01_build_system: The parameters for ATP and the initial pdb file used to build each system</p> <p>02_minimization: Minimization input files for each variant</p> <p>03_equilibration: Equilibration input files for each variant</p> <p>04_long_equilibration: ATP restrained equilibration input files for each variant</p> <p>05_free_equilibration: Free equilibration input files for each variant</p> <p>06_production: Free production input files for each variant</p> <p>07_caver: Caver calculations for each variant and replica</p> <p>08_transport_tools: Analysis of tunnel networks using TransportTools software</p> <p>09_tunnel_selection: Selection of the tunnels with widest bottleneck radius to perform CaverDock experiments</p> <p>10_caverdock: CaverDock calculations for each variant and for each ligand tested</p> <p>11_membrane_patch: MD simulations for liquiritigenin and POPC membrane only</p> <p>12_MD_analysis: Calculations of RMSD, RMSF of each system. Calculation of helical parameters for trans-membrane helices 2, 5, 8 and 11 (not for APO). Calculation of X1 and X2 angles for residue N1331 in each variant (not for APO)</p> <p>13_US_closed_to_open: Umbrella Sampling simulations to obtain the inward facing (IF) open state of each variant. Not used for PMF analysis.</p> <p>14_US_opening_energy: Umbrella Sampling simulations to obtain the Potential of Mean Force for the transition from IF-closed to IF-open conformations.</p> <p>15_US_equilibration: Equilibration input files for WT and F562L variants in IF-open states.</p> <p>16_US_production: Production input files for WT and F562L variants in IF-open states.</p> <p>17_US_caver: Caver calculations for WT and F562L variants in IF-open states.</p> <p>18_US_transport_tools: Analysis of tunnel networks using TransportTools software of WT and F562L variants in IF-open states.</p> <p>19_US_tunnel_selection: Selection of the tunnels with widest bottleneck radius to perform CaverDock experiments for WT and F562L variants in IF-open states.</p> <p>20_US_caverdock: CaverDock calculations for WT and F562L variants in IF-open states.</p> <p>21_US_MD_analysis: Calculations of RMSD, RMSF of each system. Calculation of helical parameters for trans-membrane helices 2, 5, 8 and 11.</p> <p>ABC_Sequences.fasta: Sequences from 1KP analysis</p>
Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption
<p>Raw Dataset from which the publication of the article "Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption" (10.1002/solr.202200928) is derived.</p>
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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.