cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6e3rum
title: Occurrence Download

description: A dataset containing 3251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.17.6_1",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 3251 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007066-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17707523
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.15468/dl.ddnsq5
title: Occurrence Download

description: A dataset containing 2285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cratoxylum cochinchinense"
 ]
}

 The dataset includes 2285 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007067-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8jztx
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sylvilagus insonus"
 ]
}

 The dataset includes 26 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007068-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjcptz
title: Occurrence Download

description: A dataset containing 8765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.11.3_1",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 8765 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007070-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30675041
title: <b>Dataset and reconstruction software for three-dimensional lattice structured illumination microscopy</b>

description: Structured illumination microscopy (SIM) is widely used for live-cell super-resolution imaging. Compared with the two-dimensional implementation (2D-SIM), the three-dimensional implementation (3D-SIM) provides twofold improvement in both lateral and axial resolution. However, 3D-SIM requires more phase-shifted exposures at each axial plane and a higher photon budget per unit volume, which increases photobleaching and imposes heavy reconstruction overheads for volumetric imaging. Here we introduce 3D-Lattice-SIM, a gentle volumetric imaging strategy based on lattice illumination that encodes multiple spatial-frequency components per exposure, reducing redundant sampling and photon demand. We derive a reconstruction method for 3D-Lattice-SIM that enables accurate parameter estimation and robust physical reconstruction, and propose an ultrafast frequency-domain protocol that accelerates volumetric reconstruction by about three orders of magnitude. We further develop SIMPLEX, a self-supervised denoising network tailored to suppress noise-induced artifacts under photon-limited conditions. Within this framework, 3D-Lattice-SIM enables fast, high-fidelity 3D super-resolution reconstruction from about ten percent of the photon dose required by conventional 3D-SIM. We demonstrate live-cell imaging of endoplasmic reticulum remodeling and Lunapark redistribution at three-way junctions and volumetric visualization of multiple organelles from a single stain when combined with a pan-membrane labeling strategy. Overall, 3D-Lattice-SIM maintains volumetric three-dimensional super-resolution at a substantially reduced photon budget and provides a versatile platform for multicolor live-cell time-lapse imaging.<br>Please download and install the MATLAB runtime environment 2025a from https://www.mathworks.com/products/compiler/matlab-runtime.html<br>
DOI: 10.6084/m9.figshare.30675041.v1
title: <b>Dataset and reconstruction software for three-dimensional lattice structured illumination microscopy</b>

description: Structured illumination microscopy (SIM) is widely used for live-cell super-resolution imaging. Compared with the two-dimensional implementation (2D-SIM), the three-dimensional implementation (3D-SIM) provides twofold improvement in both lateral and axial resolution. However, 3D-SIM requires more phase-shifted exposures at each axial plane and a higher photon budget per unit volume, which increases photobleaching and imposes heavy reconstruction overheads for volumetric imaging. Here we introduce 3D-Lattice-SIM, a gentle volumetric imaging strategy based on lattice illumination that encodes multiple spatial-frequency components per exposure, reducing redundant sampling and photon demand. We derive a reconstruction method for 3D-Lattice-SIM that enables accurate parameter estimation and robust physical reconstruction, and propose an ultrafast frequency-domain protocol that accelerates volumetric reconstruction by about three orders of magnitude. We further develop SIMPLEX, a self-supervised denoising network tailored to suppress noise-induced artifacts under photon-limited conditions. Within this framework, 3D-Lattice-SIM enables fast, high-fidelity 3D super-resolution reconstruction from about ten percent of the photon dose required by conventional 3D-SIM. We demonstrate live-cell imaging of endoplasmic reticulum remodeling and Lunapark redistribution at three-way junctions and volumetric visualization of multiple organelles from a single stain when combined with a pan-membrane labeling strategy. Overall, 3D-Lattice-SIM maintains volumetric three-dimensional super-resolution at a substantially reduced photon budget and provides a versatile platform for multicolor live-cell time-lapse imaging.<br>Please download and install the MATLAB runtime environment 2025a from https://www.mathworks.com/products/compiler/matlab-runtime.html<br>
DOI: 10.5281/zenodo.17707524
title: Deep Learning-Driven Reservoir Classification and Dynamic Monitoring via Fusion of Sentinel Imagery and Geospatial POI Data
DOI: 10.5281/zenodo.17707525
title: Deep Learning-Driven Reservoir Classification and Dynamic Monitoring via Fusion of Sentinel Imagery and Geospatial POI Data
DOI: 10.6084/m9.figshare.30562508
title: Data and python code used in the paper: <b>Climate moderates the association between ecological zoning and forest productivity across China</b> (under review)

description: Data and python code used to write the paper: <b>Climate moderates the association between ecological zoning and forest productivity across China</b> (under review)
DOI: 10.6084/m9.figshare.30562508.v5
title: Data and python code used in the paper: <b>Climate moderates the association between ecological zoning and forest productivity across China</b> (under review)

description: Data and python code used to write the paper: <b>Climate moderates the association between ecological zoning and forest productivity across China</b> (under review)
DOI: 10.6084/m9.figshare.30562508.v4
title: Data and python code used in the paper: <b>Ecological zoning reorganises climate-productivity relationships in a climate-dependent manner across China</b> (under review)

description: Data and python code used to write the paper: Ecological zoning amplifies climate-biosphere coupling through governance-mediated productivity regulation (under review)
DOI: 10.15468/dd.jfs4yk
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.93s5hp
title: Occurrence Download

description: A dataset containing 263102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Buddleja davidii"
 ]
}

 The dataset includes 263102 records from 1352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007061-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-armsred
title: Matthew Lemay

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.7ejefw
title: Occurrence Download

description: A dataset containing 396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Amorpha canescens Pursh",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 396 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007204-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g55rf9
title: Occurrence Download

description: A dataset containing 48933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agrimonia eupatoria L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 48933 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010660-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqq9ku
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paeonia yananensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049415-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29993815.v1
title: Dataset

description: This dataset accompanies a study investigating cross-language generalization of the deictic verbs “come/go” in three Chinese–Japanese bilingual boys aged 4–6 years with developmental delay and potential autism spectrum disorder. A prompt-fading procedure was used to teach coordination of upper-body movements and verbal responses.The dataset consists of two sheets:<b>Test</b>: Pre- and post-test results for each participant. Variables include the number of correct responses, the number of upper-body movements based on actual directions, and the average length of movements (in mm).<b>Intervention</b>: Block-by-block intervention data. Variables include the number of correct responses and the number of upper-body movements based on actual directions.
DOI: 10.15468/dl.ab45pb
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.85534 -14.14214,-25.14466 -14.14214,-25.14466 14.14214,-95.85534 14.14214,-95.85534 -14.14214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tatia gyrina (Eigenmann & Allen, 1942)"
 ]
}

 The dataset includes 59 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000698-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffwh3e
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.05204 -31.52082,-28.94796 -31.52082,-28.94796 -7.47918,-89.05204 -7.47918,-89.05204 -31.52082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Poptella paraguayensis (Eigenmann, 1907)"
 ]
}

 The dataset includes 192 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062737-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rs6yd2
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.59489 -13.43795,-46.40511 -13.43795,-46.40511 -2.56205,-73.59489 -2.56205,-73.59489 -13.43795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jupiaba citrina Zanata & Ohara, 2009"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000693-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dm7z3e
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.21320 -15.48528,-46.78680 -15.48528,-46.78680 1.48528,-89.21320 1.48528,-89.21320 -15.48528))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spinipterus Akama & Ferraris, 2011"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005391-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekspsr
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.09489 -12.93795,-45.90511 -12.93795,-45.90511 -2.06205,-73.09489 -2.06205,-73.09489 -12.93795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nemuroglanis furcatus Ribeiro, Pedroza & Rapp Py-Daniel, 2011"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005398-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp4sv3
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-85.51650 -12.10660,-32.48350 -12.10660,-32.48350 9.10660,-85.51650 9.10660,-85.51650 -12.10660))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetopsidium orientale (Vari, Ferraris & Keith, 2003)"
 ]
}

 The dataset includes 31 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000700-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhdpt4
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.39087 -21.55635,-27.60913 -21.55635,-27.60913 9.55635,-105.39087 9.55635,-105.39087 -21.55635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moenkhausia melogramma Eigenmann, 1908"
 ]
}

 The dataset includes 132 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000696-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zary3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.09489 -21.93795,-41.90511 -21.93795,-41.90511 -11.06205,-69.09489 -11.06205,-69.09489 -21.93795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Batrochoglanis melanurus Shibatta & Pavanelli, 2005"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005403-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v99dh2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orectolobus tentaculatus (Peters, 1864)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001262-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4ffu2
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron nakotiltum Balf.fil. & Forrest"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001263-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18325966
title: dataset_for_training

description: Training data


https://doi.org/10.5281/zenodo.14391084



Description of the data and file structure


The uploaded data contains two ZIP files: one is the original hyperspectral image (original_data_v2.zip), and the other is the hyperspectral image processed by VCA (data_v2.zip).

The data used for training is from data_v2.zip, which is the pre-processed file. Note: The preprocessing files are merely the results of preprocessing before training and should not be considered as the files to be compressed. This process can be performed in memory; however, for convenience in demonstration, the results are saved as MAT files.



Files and variables




File: original_data_v2.zip


Description: The uncompressed file. 



File: data_v2.zip


Description: The pre-processed file.



Access information


Data was derived from the following sources:



Chikusei Dataset: https://naotoyokoya.com/Download.html

Matiwan Dataset: https://aistudio.baidu.com/datasetdetail/100218

DFC2018 Houston Dataset: http://dase.grss-ieee.org

Pavia Centre, and Cuprite Dataset: Dataset: https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes

Indian Pines Dataset: https://purr.purdue.edu/publications/1947/1

Jasper Ridge Dataset: https://lesun.weebly.com/hyperspectral-data-set.html
DOI: 10.5281/zenodo.14391084
title: dataset_for_training

description: Training data


https://doi.org/10.5281/zenodo.14391084



Description of the data and file structure


The uploaded data contains two ZIP files: one is the original hyperspectral image (original_data_v2.zip), and the other is the hyperspectral image processed by VCA (data_v2.zip).

The data used for training is from data_v2.zip, which is the pre-processed file. Note: The preprocessing files are merely the results of preprocessing before training and should not be considered as the files to be compressed. This process can be performed in memory; however, for convenience in demonstration, the results are saved as MAT files.



Files and variables




File: original_data_v2.zip


Description: The uncompressed file. 



File: data_v2.zip


Description: The pre-processed file.



Access information


Data was derived from the following sources:



Chikusei Dataset: https://naotoyokoya.com/Download.html

Matiwan Dataset: https://aistudio.baidu.com/datasetdetail/100218

DFC2018 Houston Dataset: http://dase.grss-ieee.org

Pavia Centre, and Cuprite Dataset: Dataset: https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes

Indian Pines Dataset: https://purr.purdue.edu/publications/1947/1

Jasper Ridge Dataset: https://lesun.weebly.com/hyperspectral-data-set.html
DOI: 10.15468/dl.z9xjyg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bombina variegata",
 "Country is Albania",
 "Country is Austria",
 "Country is Bosnia and Herzegovina",
 "Country is Belgium",
 "Country is Bulgaria",
 "Country is Belarus",
 "Country is Switzerland",
 "Country is Cyprus",
 "Country is Czechia",
 "Country is Germany",
 "Country is Denmark",
 "Country is Estonia",
 "Country is Spain",
 "Country is Finland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Greece",
 "Country is Croatia",
 "Country is Hungary",
 "Country is Ireland",
 "Country is Italy",
 "Country is Lithuania",
 "Country is Luxembourg",
 "Country is Latvia",
 "Country is Moldova, Republic of",
 "Country is Montenegro",
 "Country is North Macedonia",
 "Country is Malta",
 "Country is Netherlands",
 "Country is Norway",
 "Country is Poland",
 "Country is Portugal",
 "Country is Romania",
 "Country is Serbia",
 "Country is Sweden",
 "Country is Slovenia",
 "Country is Slovakia",
 "Country is Türkiye",
 "Country is Ukraine",
 "Country is Kosovo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005293-260120142942310/datasets/export for details.
DOI: 10.15468/dl.aqwtr6
title: Occurrence Download

description: A dataset containing 7704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baronia brevicornis"
 ]
}

 The dataset includes 7704 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005294-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.effkwz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligoclada rubribasalis"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005298-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.