cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/22803335.v1
title: Data associated with "A Comparison of 3-D Spherical Shell Thermal Convection results at Low to Moderate Rayleigh Number using ASPECT (version 2.2.0) and CitcomS (version 3.3.1)"

description: Data used to generate both ASPECT (Advanced Solver for Problems in Earth's ConvecTion) and CitcomS results in "A Comparison of 3-D Spherical Shell Thermal Convection results at Low to Moderate Rayleigh Number using ASPECT (version 2.2.0) and CitcomS (version 3.3.1)." ASPECT and CitcomS are both geodynamic codes allowing users to simulate problems in the convecting mantles of Earth-like planets. Tar files break down into folders for each of the models: A1, A3, A7, C1, C2, and C3. These models are taken from the paper "A benchmark study on mantle convection in a 3-D spherical shell using CitcomS." They are each models of simple, thermal convection at low Rayleigh number, the primary difference between them being how much the viscosity of the models varies from top to bottom. The A cases and C cases also have different planforms as detailed in the paper. The ASPECT file also has the annulus and radial folders which contain the files for Figures 1 and 3 for the paper, respectively. The ASPECT file subdirectories contain the ASPECT data presented in the paper, and the scripts used to generate the images for Figures 2 and 4-10. Scripts are set up to run in a Linux environment and make use of GMT (Generic Mapping Tools) to generate figures. The CitcomS file subdirectories contain the CitcomS data presented in the paper.
DOI: 10.6084/m9.figshare.22814477
title: Dados altmétricos.xlsx

description: Dados oriundos de pesquisa de mestrado desenvolvida no Programa de Pós Graduação em Ciência da Informação (PPGCIN) intitulada " Ciência Aberta e Altmetria: O sistema de recompensa científico discutido a partir das práticas de Comunicação e Divulgação Científica dos grupos de pesquisa em Farmácia do Rio Grande do Sul".
DOI: 10.6084/m9.figshare.22814477.v1
title: Dados altmétricos.xlsx

description: Dados oriundos de pesquisa de mestrado desenvolvida no Programa de Pós Graduação em Ciência da Informação (PPGCIN) intitulada " Ciência Aberta e Altmetria: O sistema de recompensa científico discutido a partir das práticas de Comunicação e Divulgação Científica dos grupos de pesquisa em Farmácia do Rio Grande do Sul".
DOI: 10.5517/ccdc.csd.cc2f3vzd
title: CCDC 2238044: Experimental Crystal Structure Determination

description: Related Article: Satyanarayana K. Konavarapu, Abhijit Garai, Debanjali Ghosh, Anindita Goswami, Debabrata Pradhan, Kumar Biradha|2023|Cryst.Growth Des.|23|3623|doi:10.1021/acs.cgd.3c00086
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3w0g
title: CCDC 2238045: Experimental Crystal Structure Determination

description: Related Article: Satyanarayana K. Konavarapu, Abhijit Garai, Debanjali Ghosh, Anindita Goswami, Debabrata Pradhan, Kumar Biradha|2023|Cryst.Growth Des.|23|3623|doi:10.1021/acs.cgd.3c00086
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7931085
title: Topological packing statistics of living and non-living matter

description: This repository contains the data and code needed to recreate figures in the main and supplementary text of the paper "Topological packing statistics of living and non-living matter" by the same authors. Instructions for running the code are provided in the README.md file. For those looking to apply the computational framework to their own data, a GitHub repository of the core Julia package is maintained at https://github.com/Dom-Skinner/LocalCellularStructure
DOI: 10.5281/zenodo.7931084
title: Topological packing statistics of living and non-living matter

description: This repository contains the data and code needed to recreate figures in the main and supplementary text of the paper "Topological packing statistics of living and non-living matter" by the same authors. Instructions for running the code are provided in the README.md file. For those looking to apply the computational framework to their own data, a GitHub repository of the core Julia package is maintained at https://github.com/Dom-Skinner/LocalCellularStructure
DOI: 10.24431/rw1k7dn
title: Chukchi Sea fish survey data, multiple cruises 1976-2019

description: These data are a compilation of station-based fish community data from multiple cruises in the Chukchi Sea over the timeframe of 1976 - 2019. Specifically, these data are from surveys using 3 general gear types: plumb staff beam trawls, eastern bottom trawls and Isaacs-Kidd midwater trawls. The dataset consists of six comma-separated files exported from Microsoft Excel. The data are arranged in tables, consisting of: 1. cruise table (cruise identifier and information for each cruise), 2. haul table (information on each trawl sample taken, including gear type, location, depth, environmental data where available, trawl performance, area sampled, etc), 3. catch table (information on what was caught including species, number of specimens, total weight, catch per unit effort), 4. a second catch table including only saffron and Arctic cods, for which catch data was available from more cruises 5. specimen table (fish ID, species, length, weight, age, etc) and 6. species list.
DOI: 10.5281/zenodo.7931275
title: 2022WR034193

description: DATA_ANALYSIS_SCRIPTS MODEL_CONFIGURATION_and_OSTRICH_SETTINGS MODEL_INPUTS MODEL_SOURCE_CODE MODEL_VALIDATION_RESULTS REMOTELY_SENSED_MODIS_AET_maps UNCERTAINTY_ANALYSIS_gumboot_RESULTS are publicly available in this ZENEDO repository.
DOI: 10.26093/cds/vizier.51610100
title: Ages and alpha-abundances of population in K2

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'An intermediate-age Alpha-rich galactic population in K2.' (bibcode: 2021AJ....161..100W)
DOI: 10.26093/cds/vizier.51610133
title: Astrometry & photometry for CMa R1 members

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Searching for active low-mass stars in CMa star-forming region: multiband photometry with T80S.' (bibcode: 2021AJ....161..133G)
DOI: 10.26093/cds/vizier.51610063
title: M dwarfs with masses 0.1&lt;~M/M{sun}&lt;~0.3 within 15pc

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The volume-complete sample of M dwarfs with masses 0.1&lt;~M/M{sun}&lt;~0.3 within 15parsecs.' (bibcode: 2021AJ....161...63W)
DOI: 10.6084/m9.figshare.22814495
title: Tabela 2 - Apêndice A – Presença on-line dos pesquisadores mais produtivos da ISKO Brasil e os principais indicadores coletados.

description: Indicadores de impacto, atividade e visibilidade dos pesquisadores mais produtivos da ISKO Brasil.
DOI: 10.6084/m9.figshare.22814495.v1
title: Tabela 2 - Apêndice A – Presença on-line dos pesquisadores mais produtivos da ISKO Brasil e os principais indicadores coletados.

description: Indicadores de impacto, atividade e visibilidade dos pesquisadores mais produtivos da ISKO Brasil.
DOI: 10.5281/zenodo.7931268
title: paeonia_lactiflora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931267
title: paeonia_lactiflora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931352
title: ruscus_hypophyllum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931351
title: ruscus_hypophyllum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931366
title: doris_verrucosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931365
title: doris_verrucosa_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22806536
title: GenAdI: Towards automatic indexing of Russian-Polish church records

description: Dataset comprised of church book records aimed at End-To-End Information Extraction using Connected-Offline Handwriting Recognition. <br> This dataset is difficult: given just an image with (usually) several (birth, marriage, death) records on it, recognize the Russian-language text (some items also have Polish language equivalents) and return appropriate Polish language data points (or ISO 8601 dates and periods). This requires not only understanding of underlying Russian text, but also proper normalization and Natural Language Generation. Given the fact that there are up to 6 records per image, it is important to return data regarding specific record.
DOI: 10.6084/m9.figshare.22806536.v3
title: GenAdI: Towards automatic indexing of Russian-Polish church records

description: Dataset comprised of church book records aimed at End-To-End Information Extraction using Connected-Offline Handwriting Recognition. <br> This dataset is difficult: given just an image with (usually) several (birth, marriage, death) records on it, recognize the Russian-language text (some items also have Polish language equivalents) and return appropriate Polish language data points (or ISO 8601 dates and periods). This requires not only understanding of underlying Russian text, but also proper normalization and Natural Language Generation. Given the fact that there are up to 6 records per image, it is important to return data regarding specific record.
DOI: 10.6084/m9.figshare.22806536.v2
title: GenAdI: Towards automatic indexing of Russian-Polish church records

description: Dataset comprised of church book records aimed at End-To-End Information Extraction using Connected-Offline Handwriting Recognition. <br> This dataset is difficult: given just an image with (usually) several (birth, marriage, death) records on it, recognize the Russian-language text (some items also have Polish language equivalents) and return appropriate Polish language data points (or ISO 8601 dates and periods). This requires not only understanding of underlying Russian text, but also proper normalization and Natural Language Generation. Given the fact that there are up to 6 records per image, it is important to return data regarding specific record.
DOI: 10.5281/zenodo.7930974
title: GSTOFS/ADCIRC November 1-15, 2002 Hindcast

description: This dataset contains hourly global sea levels for 2002-11-01 00:00:00 UTC to 2002-11-15 00:00:00 UTC from a hindcast using Global STOFS. Meteorological forcing comes from the Climate Forecast System version 2 historical reanalysis (Saha et al. 2010). Global STOFS is a model operated by the National Oceanic and Atmospheric Administration in collaboration with the University of Notre Dame Computational Hydraulics Laboratory. The Notre Dame "shadow" model results as well as further information can be found here. This model is under experimental development. This model is under experimental development. The results should not be used for navigational purposes or emergency planning under any circumstances. Please do not use these results without citing this dataset.
description: {"references": ["Saha, S., S. Moorthi, H. Pan, X. Wu, J. Wang, and Coauthors, 2010: The NCEP Climate Forecast System Reanalysis. Bulletin of the American Meteorological Society, 91, 1015\u20131057, doi:10.1175/2010BAMS3001.1."]}
DOI: 10.5281/zenodo.7930973
title: GSTOFS/ADCIRC November 1-15, 2002 Hindcast

description: This dataset contains hourly global sea levels for 2002-11-01 00:00:00 UTC to 2002-11-15 00:00:00 UTC from a hindcast using Global STOFS. Meteorological forcing comes from the Climate Forecast System version 2 historical reanalysis (Saha et al. 2010). Global STOFS is a model operated by the National Oceanic and Atmospheric Administration in collaboration with the University of Notre Dame Computational Hydraulics Laboratory. The Notre Dame "shadow" model results as well as further information can be found here. This model is under experimental development. This model is under experimental development. The results should not be used for navigational purposes or emergency planning under any circumstances. Please do not use these results without citing this dataset.
description: {"references": ["Saha, S., S. Moorthi, H. Pan, X. Wu, J. Wang, and Coauthors, 2010: The NCEP Climate Forecast System Reanalysis. Bulletin of the American Meteorological Society, 91, 1015\u20131057, doi:10.1175/2010BAMS3001.1."]}
DOI: 10.5281/zenodo.7754296
title: Warming experiment with interactive/prescribed soil moisture

description: dp_exp (warming experiment of radiative-convective equilibrium in a doubly-periodic domain) rce_fixSST33_bucket_C32_ann_3co2.wa.nc rce_fixSST33_sf0p5_C32_ann_3co2.wa.nc rce_fixSST29_bucket_C32_ann.wa.nc rce_fixSST29_sf0p5_C32_ann.wa.nc rce_slab0p5_bucket_C32_ds.wa.nc rce_slab0p5_bucket_C32_ds_3co2.wa.nc rce_slab0p5_sf0p5_C32_ds.wa.nc rce_slab0p5_sf0p5_C32_ds_3co2.wa.nc gfdlam2_exp (warming experiment using GFDL-AM2.1) AMIPclim.cntl.ymon.nc AMIPclim.p4K3co2.ymon.nc AMIPclim.fixSoil_p4K3co2.ymon.nc AMIPclim.fixSoil.ymon.nc AMIPclim.futureSoil_p4K3co2.ymon.nc
DOI: 10.5281/zenodo.7754297
title: Warming experiment with interactive/prescribed soil moisture

description: dp_exp (warming experiment of radiative-convective equilibrium in a doubly-periodic domain) rce_fixSST33_bucket_C32_ann_3co2.wa.nc rce_fixSST33_sf0p5_C32_ann_3co2.wa.nc rce_fixSST29_bucket_C32_ann.wa.nc rce_fixSST29_sf0p5_C32_ann.wa.nc gfdlam2_exp (warming experiment using GFDL-AM2.1) AMIPclim.cntl.ymon.nc AMIPclim.p4K3co2.ymon.nc AMIPclim.fixSoil_p4K3co2.ymon.nc AMIPclim.fixSoil.ymon.nc AMIPclim.futureSoil_p4K3co2.ymon.nc
DOI: 10.5281/zenodo.7931378
title: Warming experiment with interactive/prescribed soil moisture

description: dp_exp (warming experiment of radiative-convective equilibrium in a doubly-periodic domain) rce_fixSST33_bucket_C32_ann_3co2.wa.nc rce_fixSST33_sf0p5_C32_ann_3co2.wa.nc rce_fixSST29_bucket_C32_ann.wa.nc rce_fixSST29_sf0p5_C32_ann.wa.nc rce_slab0p5_bucket_C32_ds.wa.nc rce_slab0p5_bucket_C32_ds_3co2.wa.nc rce_slab0p5_sf0p5_C32_ds.wa.nc rce_slab0p5_sf0p5_C32_ds_3co2.wa.nc gfdlam2_exp (warming experiment using GFDL-AM2.1) AMIPclim.cntl.ymon.nc AMIPclim.p4K3co2.ymon.nc AMIPclim.fixSoil_p4K3co2.ymon.nc AMIPclim.fixSoil.ymon.nc AMIPclim.futureSoil_p4K3co2.ymon.nc
DOI: 10.25919/cdmx-e406
title: Parkes observations for project P1194 semester 2023APRS_03

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.5281/zenodo.7931416
title: tylodina_fungina_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931415
title: tylodina_fungina_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7930000
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2010

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2010. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7929999
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2010

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2010. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5066/p9u56z7w
title: Rarity and Climate Sensitivity index and components of 90 species of frogs and toads native to the conterminous United States (ver. 2.0, October 2022)

description: This dataset contains the components of and resultant Rarity and Climate Sensitivity (RCS) values for 90 species of frogs and toads native to the conterminous United States. The RCS metric uses point occurrences to describe area of occurrence, quantifies the variation of climate conditions within that area, and combines and scales the two for a multispecies assessment of intrinsic sensitivity to climate change. The RCS metric was calculated at two geographic extents, the conterminous US and the North American continent. We also used two spatial grains: 1 km buffered occurrence points and small watersheds (Hydrologic Unit Code (HUC) 12 watershed boundaries within and HydroBASIN level 12 watershed boundaries outside the conterminous US). Point occurrences from the Global Biodiversity Information Facility (GBIF) and HerpMapper were used to calculate area of occurrence at each spatial extent and grain size. Climate specificity was calculated by extracting three climate variables (annual precipitation, annual maximum temperature, and annual minimum temperature) from the area of occurrence and calculating the area-weighted standard deviation of each climate variable for each species. Rarity, as described by area of occurrence, and climate sensitivity is scaled and combined to form the RCS index. Because we evaluated the relationships among intrinsic sensitivity, taxonomy, and conservation status, species taxonomic family, genera, International Union for the Conservation of Nature Red List status, Endangered Species Act status, and Species of Greatest Conservation Need status is included in this dataset. Each row contains the calculated RCS index and its components for two spatial grain sizes for a unique species and spatial extent combination (90 species x 2 spatial extents = 180 rows).
DOI: 10.5281/zenodo.7931435
title: Re substituted MoB2 at high pressure

description: Data for Re substituted MoB<sub>2 </sub>experiments.
DOI: 10.5281/zenodo.7931436
title: Re substituted MoB2 at high pressure

description: Data for Re substituted MoB<sub>2 </sub>experiments.
DOI: 10.34740/kaggle/dsv/5672792
title: Historic sales of electric vehicles
DOI: 10.5281/zenodo.7931458
title: corambe_burchi_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7931457
title: corambe_burchi_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7930623
title: TCRpred pretrained models

description: Pretrained TCRpred models for TCR-pMHC interaction prediction
DOI: 10.5281/zenodo.7930622
title: TCRpred pretrained models

description: Pretrained TCRpred models for TCR-pMHC interaction prediction
DOI: 10.15151/esrf-es-1204060866
title: Molecular machines in energy transduction, cellular signaling and defense processes

description: Since this BAG is composed of seven different working groups from three different locations (university of Cologne, university of Bochum, university of Düsseldorf), the projects for this proposal are of rather heterogeneous nature. Nonetheless, we are focusing on 5 main topics: 1.) proteins involved in transport processes, transporters or channels, either embedded in the membrane or acting in the cytosol (e.g. ABC transporters, fusion proteins, regulators) 2.) proteins involved in the immune system, pathogen invasion or defense/resistance processes (dehydratases, toxins, binding proteins) 3.) proteins involved or associated with diseases like cancer or developmental disorders (e.g. protein kinase, toxins, antibodies) 4.) enzymes of putative industrial use to encounter increasing environmental pollution (e.g. transaminases, estereases) 5.) proteins involved in light harvesting, photosynthesis (C3/C4 pathways) and chromophore binding proteins (e.g. synthases, photosensor domains)
DOI: 10.7289/v5gb221x
title: ME70 Water Column Sonar Data Collected During PC1402
DOI: 10.6084/m9.figshare.22814648.v1
title: Dataset for CCR study

description: Data set with 103 countries <br>
DOI: 10.5281/zenodo.7881621
title: Pollinator eDNA data

description: Raw data and reference databases associated with a terrestrial environmental DNA investigation conducted in fall 2020 in central Ohio.
DOI: 10.5281/zenodo.7881620
title: Pollinator eDNA data

description: Raw data and reference databases associated with a terrestrial environmental DNA investigation conducted in fall 2020 in central Ohio.