cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/8194b416cbee482b89e0dfbe17c5786c
title: CHESS-SCAPE: Future projections of meteorological variables at 1 km resolution for the United Kingdom 1980-2080 derived from UK Climate Projections 2018

description: Gridded daily meteorological variables over the United Kingdom at 1 km resolution for the years 1980-2080. This dataset is an ensemble of four different realisations of future climate for each of four different representative concentration pathway scenarios (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), provided both with and without bias correction. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), relative humidity (%), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and surface air pressure (Pa). It also contains time series of daily minimum air temperature (K), daily maximum air temperature (K) and daily temperature range (K). The data are provided in gridded netCDF files at 1 km resolution aligned to the Ordnance Survey / British National Grid. There is one file for each variable for each month of the daily data. Also provided are monthly, seasonal and annual means, for which there is one file for each variable for each time resolution. Additionally twenty year mean-monthly (Jan-Dec) climatologies at ten year intervals are provided, for which there is one file for each variable for each twenty year time slice. The projections use a 360-day calendar, where each month consists of 30 days.
DOI: 10.5518/540
title: Phase Boundary Exchange Coupling in the Mixed Magnetic Phase Regime of a Pd-doped FeRh Epilayer - dataset

description: Data associated with the manuscript 'Phase Boundary Exchange Coupling in the Mixed Magnetic Phase Regime of a Pd-doped FeRh Epilayer'
DOI: 10.6084/m9.figshare.24055134
title: UVP5_DATASET: <i>Trichodesmium</i> distribution along 15 cruises in the Atlantic Ocean

description: The data belong to the paper titled " Phosphate Influx and Dust Deposition Create Zonal and Meridional Biogeochemical Gradient in <i>Trichodesmium</i> Abundance". The <i>Trichodesmium</i> abundances are estimated using the Underwater Vision Profiler 5 (UVP5).
DOI: 10.6084/m9.figshare.26323417.v1
title: Check list severe blast-related craniofacial and ocular injuries

description: Our objective is to report a rare and well-documented case of blast-related severe craniofacial and ocular injuries at an artisanal gold mining sites. This report aims to highlight the management challenges in developing countries like Niger, emphasize the urgent need for clinical studies on blast-related craniofacial trauma in resource-limited settings, and advocate for safety training for gold miners.
DOI: 10.15156/bio/sh0870886.10fu
title: SH0870886.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.18112/openneuro.ds003612.v1.0.3
title: The impact of handedness on the neural correlates during kinesthetic motor imagery: a FMRI study
DOI: 10.18434/mds2-3254
title: AC Metrology Applications of the Josephson Effect
DOI: 10.5281/zenodo.12722524
title: Data from: Multifaceted density dependence: Social structure and seasonality effects on Serengeti lion demography

description: This dataset contains the data and R scripts to estimate the survival, transition, and detection probabilities (Lions_Survival_Transition_MultistateCMRModel.zip) as well as the probability of reproduction and recruitment to 1 year old (Lions_Reproduction_Recruitment_GLMM.zip) in a population of African lions (Panthera leo) monitored between 1984 and 2014 in the Serengeti National Park, Tanzania.

We assessed the season-specific effects of density measures at the intra- (number of females in a pride and male coalition size) and extra-group levels (number of nomadic coalitions in the home range of a group) using a Bayesian multistate capture-mark-recapture model for the survival and transition rates and Bayesian generalized linear mixed models for reproduction probability and recruitment. The README file further describes each uploaded file.
DOI: 10.5281/zenodo.3522973
title: BDPROTO 1.1

description: BDPROTO is a database of phonological inventories from ancient and reconstructed languages. Version 1.1 includes more languages and some basic descriptive stats.
DOI: 10.6084/m9.figshare.20036003.v1
title: submesoscale

description: data used for submesoscales
DOI: 10.6084/m9.figshare.22044812
title: Study Area Polygons

description: This file contains polygons representing the geographic area covered by studies from the database in Rubenstein et al. (2023). See the following for more details: <br> Rubenstein, M. A., Weiskopf, S. R., Bertrand, R., Carter, S. L., Comte, L., Eaton, M. J., Johnson, C. G., Lenoir, J. L., Lynch, A. J., Miller, B. W., Morelli, T. L., Rodriguez, M. A., Terando, A., & Thompson, L. M. (2023). Climate change and the global redistribution of biodiversity: substantial variation in empirical support for expected range shifts. <em>Environmental Evidence</em>, <em>12</em>(7), https://doi.org/10.1186/s13750-023-00296-0.
DOI: 10.7265/8d57-9f79
title: Circum-Arctic Map of Permafrost and Ground-Ice Conditions, Version 1
DOI: 10.15156/bio/sh0870887.10fu
title: SH0870887.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17909/t9-ge0b-jm58
title: Vela-Sunrise Mock Observations ("Vela")

description: This product comprises mock observations of the VELA suite of cosmological simulations, demonstrating a physical model of galaxy formation over cosmic history. The primary dataset comprises ultra-high-resolution images of the time evolution of 35 galaxies across 10-40 timesteps, each with approximately 20 viewing angles and a common set of HST, JWST, and proposed WFIRST filters. These mock data products are also appropriate for modeling observations of future large-aperture telescopes.
DOI: 10.26131/irsa214
title: GLIMPSE 360 Catalog

description: GLIMPSE360 is a Warm Mission Spitzer Cycle 6 Exploration Science Program (PIDs 60020, 61070, 61071, 61072, 61073, 70072) that mapped 187 degrees of longitude of the Galactic plane that have not been mapped by previous Spitzer Galactic Plane surveys (GLIMPSE, GLIMPSEII, GALCEN, GLIMPSE3D, Vela Carina, SMOG and Cygnus-X). The specific Galactic longitudes covered by GLIMPSE360 are l=65◦-76◦, 82◦-102◦, and 109◦-265◦. The latitude range is about 2.8◦. The latitude center follows the Galactic warp. GLIMPSE360 completes the full circle of the Galactic plane. The GLIMPSE360 Catalog (GLM360C, or the “Catalog”) consists of the highest reliability point sources. For each IRAC band the Catalog provides fluxes (with uncertainties), positions (with uncertainties), the areal density of local point sources, the local sky brightness, and a flag that provides information on source quality and known anomalies present in the data. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.5067/gpm/gmi/gpm/1c/07
title: GPM GMI Common Calibrated Brightness Temperatures Collocated L1C 1.5 hours 13 km V07
DOI: 10.5281/zenodo.12774850
title: Kunkhyen et al Scientific Reports 2024 dataset

description: Source data for figures included in Kunkhyen et al. Scientific Reports 2024
DOI: 10.5439/1459578
title: GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar

description: Two years of volumetric radar observations acquired during the GoAmazon2014/5 field campaign by the SIPAM S-band radar in Manaus, Brazil were used to create rain rate estimates from radar reflectivity by Texas A&M University. Estimates of rain rates were generated using radar reflectivity data from the 2.5 km level and a Z-R relationship of Z=174.8*R^1.56.
DOI: 10.6084/m9.figshare.23692011
title: Deviation Test Results

description: This file gives results of tests on the deviations between species ranges and study areas. For each taxon, a Wilcoxon test was conducted to determine if mean deviation significantly differed from 0, with the p-value and mean deviation provided. Units for temperature are degrees celcius, while units for latitude are degrees latitude.
DOI: 10.6084/m9.figshare.23722038
title: Species Results

description: This file contains results of tests of geographic and environmental coverage of species ranges by study areas. P-values are from Wilcoxon tests to determine if study areas are representative of species ranges. Differences between maximum and minimum values of study areas and species ranges are given, which were used to determine edge coverage. Latitudinal edge coverage was done manually, with the results given as Y or N. Y indicates coverage, N indicates a lack of coverage. Units of latitude are degrees latitude, units of elevation are meters, and units of temperature (bio1) are degrees celcius.
DOI: 10.15156/bio/sh0870888.10fu
title: SH0870888.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870889.10fu
title: SH0870889.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5439/1459573
title: GoAmazon2014/5 Three-dimensional Gridded S-band Reflectivity and Radial Velocity from the SIPAM Manaus S-band Radar

description: Two years of volumetric radar observations acquired during the GoAmazon2014/5 field campaign by the SIPAM S-band radar in Manaus, Brazil have been quality controlled and interpolated to a fixed three-dimensional grid by Texas A&M University. The horizontal grid resolution is 2 km and the horizontal grid size is 482 km2. The vertical grid extends from 0.5 km to 20.0 km at intervals of 0.5 km. Volume scans are spaced at 12-minute intervals.
DOI: 10.15156/bio/sh0870890.10fu
title: SH0870890.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870891.10fu
title: SH0870891.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870892.10fu
title: SH0870892.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870893.10fu
title: SH0870893.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870894.10fu
title: SH0870894.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0870895.10fu
title: SH0870895.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/drrdbshf2f.2
title: Hypoxia observations in the East China Sea inner shelf in 2020

description: A cruise on board the R/V Runjiang I from 17 to 30 August 2020 was conducted to investigate hypoxia in 2020 over the East China Sea inner shelf. Six cross-shelf sections on the East China Sea shelf were surveyed in Leg 1 and an additional four sections were revisited in Leg 2. Water samples were collected using Niskin bottles mounted onto a Rosette sampling assembly. Biogeochemical data (nutrients, oxygen, dissolved inorganic carbon) was measured using instruments presented in Metadata file.
DOI: 10.5281/zenodo.10589730
title: GLOBMAP FTC: a global annual fractional tree cover dataset since 2000

description: Fractional tree cover facilitates the depiction of forest density and its variations. However, it remains challenging to estimate fractional tree cover from satellite data, leading to substantial uncertainties in forest cover changes analysis. We generated a global annual fractional tree cover dataset (GLOBMAP FTC) from 2000 to 2021 with a resolution of 250 m using the MODIS land surface reflectance products. MODIS annual observations were realigned at the pixel level to a common phenology with the midpoint date of growing season centered in the calendar year. Twelve features that can differentiate between trees and herbaceous vegetation were extracted from the realigned MODIS observations. A massive training data, consisting of 465.88 million sample points, was collected across the globe from four high-resolution forest cover products, including ESA WorldCover, GlobeLand30, PALSAR FNF, and ESRI Land Cover. A feedforward neural network model was trained to predict tree cover. Global and regional analysis demonstrated that the dataset could characterize the forest cover changes, including both abrupt forest loss and gradual forest gain. This dataset can be applied for assessment of forest cover dynamics and monitoring the progress of forest restoration projects and policies.

 

The dataset is provided by 296 to 323 1200 km × 1200 km tiles for each year, aligning with the MODIS standard tiling system. The data are stored in the Sinusoidal projection with Geotiff format. The files are designated with the naming structure "GLOBMAPFTC.AYYYY001.hHHvVV.V01.tif", where “YYYY” represents the year of the data, while “HH” and “VV” indicate the horizontal and vertical tile indices respectively, aligning with the MODIS standard tile. The valid range of tree cover value is 0-100, with a scale factor of 1.0 and the unit of percentage (%).