cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14060221
title: 30 m Normalized Difference Vegetation Index Maps of Pure Pixels over China for Estimation of Fractional Vegetation Cover (2014, 2018, 2022)

description: Using multi-angle remote sensing data, we generated 30-m maps for the normalized difference vegetation index (NDVI) of fully-covered vegetation (Vv) and bare soils (Vs) across China in 2014, 2018 and 2022. These pixel-wise Vv and Vs maps can be integrated with the vegetation index (VI)-based model to facilitate the accurate and rapid estimation of fractional vegetation cover (FVC) across various spatial resolutions and large scales. The products were produced using a multi-angle algorithm (MultiVI), which effectively addressed the spatial variability inherent in Vv and Vs and enhanced the accuracy of FVC estimations in comparison to traditional statistical methods. The estimated FVC demonstrated a root mean square deviation (RMSD) of approximately 0.1 when evaluated against field-measured FVC across different experimental sites.
description: The Vv and Vs data are stored in GeoTIFF files using the WGS-84 (World Geodetic System 1984) coordinate system with UTM (Universal Transverse Mercator) projection. The data are categorized into tiles based on a latitude size of 5° and a longitude size of 6°. The file names consist of 18 characters following these rules: North-South latitude abbreviation (1 digit) + 6-degree zone number (2 digits) + "_" + starting latitude (2 digits) + "_" + product time (4 digits) + "_ " + resolution (3 digits) + "_ " + data attribute (2 digits). Additionally, each image contains a pure NDVI value band range from 0 to 100, with invalid values or water surfaces labelled as 255.
DOI: 10.5281/zenodo.15720622
title: 30 m Normalized Difference Vegetation Index Maps of Pure Pixels over China for Estimation of Fractional Vegetation Cover (2014)

description: Using multi-angle remote sensing data, we generated 30-m maps for the normalized difference vegetation index (NDVI) of fully-covered vegetation (Vv) and bare soils (Vs) across China. These pixel-wise Vv and Vs maps can be integrated with the vegetation index (VI)-based model to facilitate the accurate and rapid estimation of fractional vegetation cover (FVC) across various spatial resolutions and large scales. The products were produced using a multi-angle algorithm (MultiVI), which effectively addressed the spatial variability inherent in Vv and Vs and enhanced the accuracy of FVC estimations in comparison to traditional statistical methods. The estimated FVC demonstrated a root mean square deviation (RMSD) of approximately 0.1 when evaluated against field-measured FVC across different experimental sites.
description: The Vv and Vs data are stored in GeoTIFF files using the WGS-84 (World Geodetic System 1984) coordinate system with UTM (Universal Transverse Mercator) projection. The data are categorized into tiles based on a latitude size of 5° and a longitude size of 6°. The file names consist of 18 characters following these rules: North-South latitude abbreviation (1 digit) + 6-degree zone number (2 digits) + "_" + starting latitude (2 digits) + "_" + product time (4 digits) + "_ " + resolution (3 digits) + "_ " + data attribute (2 digits). Additionally, each image contains a pure NDVI value band range from 0 to 100, with invalid values or water surfaces labelled as 255.
DOI: 10.15468/dl.yqz4nt
title: Occurrence Download

description: A dataset containing 866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Asparagus asparagoides"
 ]
}

 The dataset includes 866 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032196-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufwat2
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , Phoebe tavoyana, , , , , , , , , , , , , , , , Machilus henryi, , , , , , , , , , , , Phoebe henryi, , , Persea shawii, , , Machilus tavoyana, , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 175 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032197-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkb4qy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 21.29913, -107.2188 21.29913, -107.2188 21.44913, -107.3688 21.44913, -107.3688 21.29913))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032198-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6frpw
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((150.1272 36.75492,119.89834 55.11823,120.46338 29.69209,138.26168 13.8714,150.1272 36.75492))",
 "TaxonKey is Berchemiella berchemiifolia"
 ]
}

 The dataset includes 280 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032199-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y57fsa
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 21.29913, -107.0688 21.29913, -107.0688 21.44913, -107.2188 21.44913, -107.2188 21.29913))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032200-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8ym79
title: Occurrence Download

description: A dataset containing 1351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((146.45453 43.53521,117.35573 56.53082,97.57986 35.05982,94.4722 24.32442,109.44538 14.43641,134.02394 16.97902,146.45453 43.53521))",
 "TaxonKey is Hovenia dulcis"
 ]
}

 The dataset includes 1351 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032201-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8y88mq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Phoebe yaiensis, , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032202-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y98ysm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 21.29913, -106.9188 21.29913, -106.9188 21.44913, -107.0688 21.44913, -107.0688 21.29913))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032203-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj9pmz
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ilex rotunda, Acacia melanoxylon)",
 "Year 1980-2025"
 ]
}

 The dataset includes 224 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032204-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17605137
title: Determinants of multidrug-resistant urinary tract infections: a retrospective cross-sectional study from a tertiary care hospital in southern Bangladesh
DOI: 10.5281/zenodo.17605136
title: Determinants of multidrug-resistant urinary tract infections: a retrospective cross-sectional study from a tertiary care hospital in southern Bangladesh
DOI: 10.15468/dl.6vnn85
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.35573 38.16748,75.54379 47.49039,60.0056 42.68766,65.09083 23.1943,95.3196 11.61129,113.683 18.67412,117.35573 38.16748))",
 "TaxonKey is Rosa brunonii"
 ]
}

 The dataset includes 147 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032205-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s477ej
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "DatasetKey is one of (India Biodiversity Portal publication grade dataset, iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Nasikabatrachus sahyadrensis",
 "Year 2005-2025"
 ]
}

 The dataset includes 31 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032207-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrwcec
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 21.29913, -106.7688 21.29913, -106.7688 21.44913, -106.9188 21.44913, -106.9188 21.29913))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032206-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12915636
title: Waste Sense
DOI: 10.5517/cc1k1d11
title: CCDC 1431302: Experimental Crystal Structure Determination

description: Related Article: R. G. Pritchard and E. Islam|2003|Acta Crystallogr.,Sect.B:Struct.Sci.|59|596|doi:10.1107/S0108768103012291
description: Related Article: M.A.A.F.de.C.T. Carrondo, W.P. Griffith, D.P. Jones, A.C. Skapski|1977|J.Chem.Soc.,Dalton Trans.||2323|doi:10.1039/dt9770002323
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: 10.34740/kaggle/dsv/13725470
title: Ethereum Price Data Binance API (2017–Now)
DOI: 10.6084/m9.figshare.30164734
title: genome annotation of Eleutheronema tetradactylum

description: The fourfinger threadfin (<i>Eleutheronema tetradactylum</i>) is a euryhaline fish distributed across the Indo-West Pacific, from the Persian Gulf to Australia. However, the lack of high-quality genomic resources has limited genomic-level studies of its evolution, conservation, and aquaculture. Here, we present the first telomere-to-telomere (T2T) genome assembly of <i>E. tetradactylum</i>, generated using Pacific Biosciences (PacBio) High-Fidelity (HiFi) sequencing, Oxford Nanopore Technologies (ONT) ultra-long reads, and Hi-C chromatin conformation capture.
DOI: 10.6084/m9.figshare.30164734.v2
title: genome annotation of Eleutheronema tetradactylum

description: The fourfinger threadfin (<i>Eleutheronema tetradactylum</i>) is a euryhaline fish distributed across the Indo-West Pacific, from the Persian Gulf to Australia. However, the lack of high-quality genomic resources has limited genomic-level studies of its evolution, conservation, and aquaculture. Here, we present the first telomere-to-telomere (T2T) genome assembly of <i>E. tetradactylum</i>, generated using Pacific Biosciences (PacBio) High-Fidelity (HiFi) sequencing, Oxford Nanopore Technologies (ONT) ultra-long reads, and Hi-C chromatin conformation capture.
DOI: 10.6084/m9.figshare.30164734.v1
title: Eleutheronema_tetradactylum注释

description: 四指线鳍（<i>Eleutheronema tetradactylum</i>）是一种欧盐鱼，分布于印度-西太平洋，从波斯湾到澳大利亚。然而，由于缺乏高质量的基因组资源，对其进化、保护和水产养殖的基因组水平研究受到限制。在这里，我们展示了第一个端粒到端粒 （T2T） <i>指类基因</i>，使用 Pacific Biosciences （PacBio） 高保真 （HiFi） 测序、Oxford Nanopore Technologies （ONT） 超长读长和 Hi-C 染色质构象捕获生成。之后，基因组将经历重复的、结构的和功能注释。
DOI: 10.6084/m9.figshare.30615710.v1
title: Dataset for Electrical Line Fault Detection & Classification

description: The dataset consists of four cases (TL-1 to TL-4), each representing a distinct configuration of a three-phase distributed transmission line system simulated for both fault detection and fault classification.<b>Transmission Line Configurations</b><b>TL-1:</b><br>Comprised of one generating unit and one RLC load representing a distributed high-voltage transmission line (200 km) with faults at the load end.<b>TL-2:</b><br>Comprised of one generating unit and one RLC load representing a short-distance transmission line, used to study behavior under reduced propagation delay and impedance effects.<b>TL-3:</b><br>Comprised of two generating units and three RLC loads, representing a distributed high-voltage long transmission line (200 km) with faults at the load end.<b>TL-4:</b><br>Comprised of two generating units and three RLC loads, representing a distributed high-voltage long transmission line (200 km) with faults at the source end.Each case includes three-phase voltage and current waveform<b>s</b> under normal and faulted operating conditions.<b>Fault Detection Label</b>To indicate whether the system is under a fault condition:<code>1</code> → <b>No Fault</b><code>2</code> → <b>Fault Present</b><b>Fault Classification Labels</b>The detailed fault types correspond to the following numeric codes :CodeFault TypeDescription1NFNo Fault2ABCThree-phase fault3ABGDouble line-to-ground fault (A-B-Ground)4BCGDouble line-to-ground fault (B-C-Ground)5ACGDouble line-to-ground fault (A-C-Ground)6ABLine-to-line fault (A-B)7BCLine-to-line fault (B-C)8CALine-to-line fault (C-A)9AGSingle line-to-ground fault (A-Ground)10BGSingle line-to-ground fault (B-Ground)11CGSingle line-to-ground fault (C-Ground)<b>Structure</b>Each CSV file (e.g., <code>TL_1_fault_detection.csv</code>, <code>TL_2_fault_classification.csv</code>) contains:Time-series data of three-phase voltages and currents.A target column indicating fault detection (1 / 2) or fault classification (1 – 11).Together, these datasets provide a comprehensive basis for machine learning and deep learning studies on:Fault detection (binary classification).Fault type identification (multi-class classification).Fault location analysis in long vs. short, and source- vs. load-end fault scenarios.
DOI: 10.6084/m9.figshare.30615710
title: Dataset for Electrical Line Fault Detection & Classification

description: The dataset consists of four cases (TL-1 to TL-4), each representing a distinct configuration of a three-phase distributed transmission line system simulated for both fault detection and fault classification.<b>Transmission Line Configurations</b><b>TL-1:</b><br>Comprised of one generating unit and one RLC load representing a distributed high-voltage transmission line (200 km) with faults at the load end.<b>TL-2:</b><br>Comprised of one generating unit and one RLC load representing a short-distance transmission line, used to study behavior under reduced propagation delay and impedance effects.<b>TL-3:</b><br>Comprised of two generating units and three RLC loads, representing a distributed high-voltage long transmission line (200 km) with faults at the load end.<b>TL-4:</b><br>Comprised of two generating units and three RLC loads, representing a distributed high-voltage long transmission line (200 km) with faults at the source end.Each case includes three-phase voltage and current waveform<b>s</b> under normal and faulted operating conditions.<b>Fault Detection Label</b>To indicate whether the system is under a fault condition:<code>1</code> → <b>No Fault</b><code>2</code> → <b>Fault Present</b><b>Fault Classification Labels</b>The detailed fault types correspond to the following numeric codes :CodeFault TypeDescription1NFNo Fault2ABCThree-phase fault3ABGDouble line-to-ground fault (A-B-Ground)4BCGDouble line-to-ground fault (B-C-Ground)5ACGDouble line-to-ground fault (A-C-Ground)6ABLine-to-line fault (A-B)7BCLine-to-line fault (B-C)8CALine-to-line fault (C-A)9AGSingle line-to-ground fault (A-Ground)10BGSingle line-to-ground fault (B-Ground)11CGSingle line-to-ground fault (C-Ground)<b>Structure</b>Each CSV file (e.g., <code>TL_1_fault_detection.csv</code>, <code>TL_2_fault_classification.csv</code>) contains:Time-series data of three-phase voltages and currents.A target column indicating fault detection (1 / 2) or fault classification (1 – 11).Together, these datasets provide a comprehensive basis for machine learning and deep learning studies on:Fault detection (binary classification).Fault type identification (multi-class classification).Fault location analysis in long vs. short, and source- vs. load-end fault scenarios.
DOI: 10.15468/dl.vup8q4
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 21.29913, -106.6188 21.29913, -106.6188 21.44913, -106.7688 21.44913, -106.7688 21.29913))"
 ]
}

 The dataset includes 102 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032208-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njkhx3
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , Phoebe zhennan, , , , , , , , , , Lyctus sinensis, , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 75 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032209-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx64h3
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((124.98357 42.97017,77.80396 42.97017,66.50342 39.29753,78.08644 25.45441,91.64708 18.39158,110.85794 18.10911,117.07322 22.34676,124.98357 42.97017))",
 "TaxonKey is Rosa macrophylla"
 ]
}

 The dataset includes 660 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032210-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbsp7b
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Fossil, Material citation)",
 "TaxonKey is Annonaceae"
 ]
}

 The dataset includes 2300 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032211-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15103804
title: Dataset for the Validation of a Serious Game on Business Ethics

description: This dataset contains the quantitative questionnaire designed for the validation of a serious game aimed at teaching business ethics, specifically focusing on informal business practices. It includes the questionnaire itself, a detailed codebook, and the dataset generated from the experimental application and validation of the game.

The questionnaire was developed based on a solid theoretical foundation, integrating the Technology Acceptance Model III (TAM III) and the Theory of Planned Behavior (TPB). The dataset comprises responses from 118 accounting students from a Peruvian university who participated in the experimental phase of the game.

Additionally, this dataset includes the data validation process conducted to ensure its suitability for Partial Least Squares Structural Equation Modeling (PLS-SEM), using SmartPLS 4 software. Researchers and educators interested in serious games, business ethics education, or behavioral modeling will find this dataset valuable for further studies and applications.

Ideal for researchers in business ethics, educational technology, and behavioral studies.
DOI: 10.5281/zenodo.14866684
title: Dataset for the Validation of a Serious Game on Business Ethics

description: This dataset contains the quantitative questionnaire designed for the validation of a serious game aimed at teaching business ethics, specifically focusing on informal business practices. It includes the questionnaire itself, a detailed codebook, and the dataset generated from the experimental application and validation of the game.

The questionnaire was developed based on a solid theoretical foundation, integrating the Technology Acceptance Model III (TAM III) and the Theory of Planned Behavior (TPB). The dataset comprises responses from 118 accounting students from a Peruvian university who participated in the experimental phase of the game.

Additionally, this dataset includes the data validation process conducted to ensure its suitability for Partial Least Squares Structural Equation Modeling (PLS-SEM), using SmartPLS 4 software. Researchers and educators interested in serious games, business ethics education, or behavioral modeling will find this dataset valuable for further studies and applications.

Ideal for researchers in business ethics, educational technology, and behavioral studies.
DOI: 10.15468/dl.hmcgx6
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 21.29913, -106.4688 21.29913, -106.4688 21.44913, -106.6188 21.44913, -106.6188 21.29913))"
 ]
}

 The dataset includes 361 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032213-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.