cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2zppfz
title: Occurrence Download

description: A dataset containing 6891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 6891 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148126-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.578cm6
title: Occurrence Download

description: A dataset containing 56054 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 56054 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038159-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx7q7n
title: Occurrence Download

description: A dataset containing 1189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-105.53 18.66,-105.53 20.73,-102.07 20.73,-102.07 18.66,-105.53 18.66))",
 "DatasetKey is Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles)",
 "StateProvince is colima"
 ]
}

 The dataset includes 1189 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040714-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anw0xv
title: Occurrence Download

description: A dataset containing 24866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 36.8038332633827",
 "DecimalLatitude is less than 37.3519406104256",
 "DecimalLongitude is greater than -111.307572383294",
 "DecimalLongitude is less than -110.623470576729"
 ]
}

 The dataset includes 24866 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004231-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk6k8h
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphagnum tenellum (Brid.) Pers. ex Brid.",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002216-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ox04g
title: Occurrence Download

description: A dataset containing 3290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Aphelocoma ultramarina (Bonaparte, 1825)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3290 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023483-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2523t6
title: Occurrence Download

description: A dataset containing 17449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Coereba flaveola (Linnaeus, 1758)"
 ]
}

 The dataset includes 17449 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040721-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jccwgn
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guadua amplexifolia J.Presl"
 ]
}

 The dataset includes 366 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254891-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqczn8
title: Occurrence Download

description: A dataset containing 205002 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinapis arvensis L."
 ]
}

 The dataset includes 205002 records from 713 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023501-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e112937v1-112581
title: Replication data for: The Next Generation of the Penn World Table

description: We describe the theory and practice of real GDP comparisons across countries and over time. Version 8 of the Penn World Table expands on previous versions in three respects. First, in addition to comparisons of living standards using components of real GDP on the expenditure side, we provide a measure of productive capacity, called real GDP on the output side. Second, growth rates are benchmarked to multiple years of cross-country price data so they are less sensitive to new benchmark data. Third, data on capital stocks and productivity are (re)introduced. Applications including the Balassa-Samuelson effect and development accounting are discussed. (JEL C43, C82, E01, E23, I31, O47)
DOI: 10.34740/kaggle/dsv/3325291
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6073/pasta/8283f2df53d6d7df8c3b571b6f4ca189
title: Otsego Lake (NY, USA) high-frequency buoy data 2017-2021

description: Yokota Lab, SUNY Oneonta BIological Field Station Volunteer Dive Team and Otsego Lake Association has been operating an NSF-funded (award #1624527) automated lake data buoy since 2017. This data set contains Ice-free season data from 2017 to 2021. Additional support for this project has been provided by New York State Water Research Institute, SUNY Oneonta Faculty Research Grant, and NSF awards to the Global Ecological Lake Observatory Network (GLEON.org). Yokota Lab, SUNY Oneonta BIological Field Station Volunteer Dive Team and Otsego Lake Association has been operating an NSF-funded (award #1624527) automated lake data buoy since 2017. This data set contains Ice-free season data from 2017 to 2021. Additional support for this project has been provided by New York State Water Research Institute, SUNY Oneonta Faculty Research Grant, and NSF awards to the Global Ecological Lake Observatory Network (GLEON.org).
DOI: 10.5281/zenodo.6370401
title: Treating anti-vax patients, a new stressor for COVID-19 center doctors. Data from a 2-year prospective study.

description: Dataset of the study "Treating anti-vax patients, a new stressor for COVID-19 center doctors. Data from a 2-year prospective study."
DOI: 10.5281/zenodo.6370400
title: Treating anti-vax patients, a new stressor for COVID-19 center doctors. Data from a 2-year prospective study.

description: Dataset of the study "Treating anti-vax patients, a new stressor for COVID-19 center doctors. Data from a 2-year prospective study."
DOI: 10.5281/zenodo.6369313
title: MIntO - Tutorial

description: MIntO tutorial. Subset of 10 human gut microbiome samples, matching Illumina metagenomic (<strong>metaG</strong>) and metatranscriptomic (<strong>metaT</strong>) data, to illustrate the use of MIntO. The subset of 10 metagenomes from the Inflammatory Bowel Disease Multi’omics Database (IBDMDB) correspond to two participants with Crohn’s disease (<code>CD1</code> and <code>CD2</code>). - Samples from <code>CD1</code>: CD136, CD138, CD140, CD142, CD146. - Samples from <code>CD2</code>: CD237, CD238, CD240, CD242 and CD244. There are two files: - IBD_tutorial_raw.tar.gz comprises the raw reads to run this tutorial! This samples have been filtered from the original ones and only include reads matching to 5 genomes (<em>Faecalibacterium prausnitzii</em>, <em>Parabacteroides distasonis</em>, <em>Bacteroides fragilis</em>, <em>Ruminococcus bromii</em> and <em>Bacteroides_uniformis</em>) - IBD_tutorial_output.tar.gz` comprises the output, after running MIntO.
DOI: 10.5281/zenodo.6369312
title: MIntO - Tutorial

description: MIntO tutorial. Subset of 10 human gut microbiome samples, matching Illumina metagenomic (<strong>metaG</strong>) and metatranscriptomic (<strong>metaT</strong>) data, to illustrate the use of MIntO. The subset of 10 metagenomes from the Inflammatory Bowel Disease Multi’omics Database (IBDMDB) correspond to two participants with Crohn’s disease (<code>CD1</code> and <code>CD2</code>). - Samples from <code>CD1</code>: CD136, CD138, CD140, CD142, CD146. - Samples from <code>CD2</code>: CD237, CD238, CD240, CD242 and CD244. There are two files: - IBD_tutorial_raw.tar.gz comprises the raw reads to run this tutorial! This samples have been filtered from the original ones and only include reads matching to 5 genomes (<em>Faecalibacterium prausnitzii</em>, <em>Parabacteroides distasonis</em>, <em>Bacteroides fragilis</em>, <em>Ruminococcus bromii</em> and <em>Bacteroides_uniformis</em>) - IBD_tutorial_output.tar.gz` comprises the output, after running MIntO.
DOI: 10.15468/dl.mrkvzh
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla reptans reptans"
 ]
}

 The dataset includes 72 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025361-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asu9hk
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clinopodium kilimandschari",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 380 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025360-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfnagd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sylvia nigricapilla",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025365-250827131500795/datasets/export for details.
DOI: 10.15468/dl.9mfrvg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Geometry POLYGON ((52.9229 -4.6891, 52.7928 -5.4458, 52.3502 -5.9456, 52.3597 -6.2641, 52.5923 -6.5238, 52.2937 -6.7403, 52.2917 -6.9401, 53.175 -6.9401, 53.1471 -6.7216, 54.1043 -5.961, 54.1687 -5.5199, 53.8001 -5.19, 53.8668 -4.7363, 53.5536 -4.4067, 53.1632 -4.4308, 52.9229 -4.6891))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025366-250827131500795/datasets/export for details.
DOI: 10.15468/dl.5pdzt3
title: Occurrence Download

description: A dataset containing 651552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-25.0",
 "Country is Norway",
 "Geometry POLYGON((7.06207 58.38703,14.09332 58.38703,14.09332 61.19953,7.06207 61.19953,7.06207 58.38703))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2023-2025"
 ]
}

 The dataset includes 651552 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025295-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ypse4
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cereus hildmannianus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 147 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025369-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16919144
title: Semantic Segmentation for Hot Cracking

description: The images in this dataset are light microscope images of the surfaces of modified Varestraint-Transvarestraint test samples. The training images show the surface of a tungsten inert gas weld with possible hot cracks. The dataset is intended for use in training crack segmentation networks.

This database consists of images in .png format. The training images were taken in 24-bit, 3-color channels with an optical light microscope (Keyence). The corresponding mask images are 8-bit grayscale images, where 255-valued pixels (white) denote crack areas and 0-valued pixels (black) denote non-cracked areas. This dataset was created manually with the help of a self-written segmentation program based on OpenCV. I used it to train networks based on ViT, ConvNeXt, U-Net, and EfficientNet architectures. The images were taken at magnifications of 50x and 100x.

The dataset is structured as follows:

Wire → Magnification (50, 100) → Data (train, mask = label) → Numbered images (1, 2, 3, …)

(There may be missing numbers. The reasons are:

1) I did not take images of all surfaces if they were not cracked, and

2) the 100x magnification images were taken at a later point, by which time some samples had already been prepared for further evaluation, so no images could be taken.)

For every image number in train, there is an equivalent number in mask with the same image size (but a different channel size, since train is 3-channel color and mask is single-channel).

There is no fixed image size (h × w). If you want to train a network, I recommend either rescaling or taking sub-images for both the training and mask sets, or using architectures that can handle varying input sizes.

 

The research project " Evaluation of design-induced solidification cracks during welding of high-strength fine-grained structural steels" is funded by the Federal Ministry of Economics and Climate Protection as part of the "Industrial Collective Research" programme on the basis of a resolution of the German Bundestag. This project IGF 01IF21837N FE 1 / P 1516 from the Research Association for steel Application (FOSTA), Düsseldorf, is carried out at Bundesanstalt für Materialforschung und -prüfung.
DOI: 10.5281/zenodo.16919145
title: Semantic Segmentation for Hot Cracking

description: The images in this dataset are light microscope images of the surfaces of modified Varestraint-Transvarestraint test samples. The training images show the surface of a tungsten inert gas weld with possible hot cracks. The dataset is intended for use in training crack segmentation networks.

This database consists of images in .png format. The training images were taken in 24-bit, 3-color channels with an optical light microscope (Keyence). The corresponding mask images are 8-bit grayscale images, where 255-valued pixels (white) denote crack areas and 0-valued pixels (black) denote non-cracked areas. This dataset was created manually with the help of a self-written segmentation program based on OpenCV. I used it to train networks based on ViT, ConvNeXt, U-Net, and EfficientNet architectures. The images were taken at magnifications of 50x and 100x.

The dataset is structured as follows:

Wire → Magnification (50, 100) → Data (train, mask = label) → Numbered images (1, 2, 3, …)

(There may be missing numbers. The reasons are:

1) I did not take images of all surfaces if they were not cracked, and

2) the 100x magnification images were taken at a later point, by which time some samples had already been prepared for further evaluation, so no images could be taken.)

For every image number in train, there is an equivalent number in mask with the same image size (but a different channel size, since train is 3-channel color and mask is single-channel).

There is no fixed image size (h × w). If you want to train a network, I recommend either rescaling or taking sub-images for both the training and mask sets, or using architectures that can handle varying input sizes.

 

The research project " Evaluation of design-induced solidification cracks during welding of high-strength fine-grained structural steels" is funded by the Federal Ministry of Economics and Climate Protection as part of the "Industrial Collective Research" programme on the basis of a resolution of the German Bundestag. This project IGF 01IF21837N FE 1 / P 1516 from the Research Association for steel Application (FOSTA), Düsseldorf, is carried out at Bundesanstalt für Materialforschung und -prüfung.
DOI: 10.5281/zenodo.13929146
title: OLCI_300m_WCP_phytoplankton

description: Daily full resolution (300m) phytoplankton type product derived from combined Sentinel 3A and 3B Ocean and Land Colour Imager (OLCI) reflectance using the algorithm of Smith and Bernard 2020 (https://doi.org/10.3389/fmars.2020.00061), but with the addition of a Mesodinium rubrum type. The region covered by this product is 31 to 35 degrees South, and 17 to 20 degrees East, for the period of 2016-04-26 to 2025-06-30. Within this dataset the following values represent the following phytoplankton types:

0 = no bloom 

1 = Low biomass mixed assemblage

2 = High biomass mixed assemblage

3 = high likelihood of Pseudo nitzschia  

4 = Mesodinium rubrum 

5 = Low biomass Dinoflagellate conditions 

6 = High biomass Dinoflagellates conditions (classic "red tide")

NaN = cloud / land / high sunglint / no satellite data
DOI: 10.5281/zenodo.17047433
title: OLCI_300m_WCP_phytoplankton

description: Daily full resolution (300m) phytoplankton type product derived from combined Sentinel 3A and 3B Ocean and Land Colour Imager (OLCI) reflectance using the algorithm of Smith and Bernard 2020 (https://doi.org/10.3389/fmars.2020.00061), but with the addition of a Mesodinium rubrum type. The region covered by this product is 31 to 35 degrees South, and 17 to 20 degrees East, for the period of 2016-04-26 to 2025-06-30. Within this dataset the following values represent the following phytoplankton types:

0 = no bloom 

1 = Low biomass mixed assemblage

2 = High biomass mixed assemblage

3 = high likelihood of Pseudo nitzschia  

4 = Mesodinium rubrum 

5 = Low biomass Dinoflagellate conditions 

6 = High biomass Dinoflagellates conditions (classic "red tide")

NaN = cloud / land / high sunglint / no satellite data
DOI: 10.5281/zenodo.17052720
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 1: Ambulante Einrichtungen. Bezugsgruppe: Zugänge/Beender. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in ambulanten Suchthilfeeinrichtungen (Typ 1). Die Bezugsgruppe sind „Zugänge/Beender", d. h. es werden nur Daten zu jenen Personen berichtet, die 2024 eine Betreuung begonnen bzw. beendet haben. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.5281/zenodo.17052721
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 1: Ambulante Einrichtungen. Bezugsgruppe: Zugänge/Beender. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in ambulanten Suchthilfeeinrichtungen (Typ 1). Die Bezugsgruppe sind „Zugänge/Beender", d. h. es werden nur Daten zu jenen Personen berichtet, die 2024 eine Betreuung begonnen bzw. beendet haben. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.15468/dl.q5zf26
title: Occurrence Download

description: A dataset containing 2453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Aquila chrysaetos"
 ]
}

 The dataset includes 2453 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025371-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17052997
title: Factors Influencing the usage of Cloud Storage Services: A Case Study in an Indonesian Private University
DOI: 10.15468/dl.gd63vs
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Digitaria sanguinalis",
 "Year 1970-2025"
 ]
}

 The dataset includes 194 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025368-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw3jrr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Geometry POLYGON ((55.1382 -5.4732, 54.9352 -5.6353, 54.8984 -5.9912, 55.1382 -6.2691, 55.1382 -5.4732))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025372-250827131500795/datasets/export for details.