cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive8583.20251217.10
title: Mycobacterium mantenii van Ingen et al. 2009 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076602.10fu
title: SH0076602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8584.20250331.9.3
title: Mycobacterium sherrisii van Ingen et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076603.10fu
title: SH0076603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8584.20251217.10
title: Mycobacterium sherrisii van Ingen et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8585.20250331.9.3
title: Mycobacterium europaeum Tortoli et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076604.10fu
title: SH0076604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8585.20251217.10
title: Mycobacterium europaeum Tortoli et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8586.20250331.9.3
title: Mycobacterium algericum Sahraoui et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076605.10fu
title: SH0076605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8586.20251217.10
title: Mycobacterium algericum Sahraoui et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076606.10fu
title: SH0076606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8587.20250331.9.3
title: Mycobacterium shinjukuense Saito et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8587.20251217.10
title: Mycobacterium shinjukuense Saito et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076607.10fu
title: SH0076607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive8588.20250331.9.3
title: Mycobacterium litorale Zhang et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8588.20251217.10
title: Mycobacterium litorale Zhang et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076608.10fu
title: SH0076608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.366bxj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arenaria nevadensis Boiss. & Reut.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001910-250310093411724/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.28573031
title: Maize map of Loess Plateau

description: Maize mapping is achieved through a multi-feature constraint approach, which comprehensively considers the physiological, canopy structure, and phenological characteristics of maize.
DOI: 10.15468/dl.5xw57z
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cardiocondyla obscurior Wheeler, 1929"
 ]
}

 The dataset includes 253 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001911-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34777/qg7c-aw54
title: ChildPlay-Hand

description: ChildPlay-Hand is a video dataset for modeling Hand-Object Interaction (HOI) in the wild that includes person and object bounding boxes, as well as manipulation actions.
DOI: 10.15468/dl.d9ugub
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Armeria euscadiensis Donad. & Vivant)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001912-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/67cff20703164
title: CPR Data request - Atlanteco - 11/03/2025

description: All CPR samples.
From January 1958 to December 2021. 
All CPR samples available.
All taxa  (category 1 and 2) for large zooplankton (228), small zooplankton (99), phytoplankton (213), and Phytoplankton Colour Index (PCI). See guidelines in the archive.
DOI: 10.5281/zenodo.15004271
title: Tilang Syariah Di Lombok Tengah
DOI: 10.5281/zenodo.15004272
title: Tilang Syariah Di Lombok Tengah
DOI: 10.5281/zenodo.14999984
title: HIGH Horizons - Healthcare Worker Baseline Study: Transcripts of IDIs in South Africa

description: This dataset contains the transcripts of 15 in-depth interviews (IDIs) conducted in November 2023 to May 2024, in antenatal, postnatal, labour and neonatal wards of a regional hospital and community health centre in South Africa., all within the context of the healthcare worker baseline study of HIGH Horizons.

The IDIs explored healthcare workers'  perceptions of working in elevated temperatures on well-being, productivity, mood, and quality of care.  The topic guide for our in-depth interviews with health care workers is available (see uploaded Supplementary File 1, also included in our peer-reviewed journal article). 

The full dataset will be uploaded once all data analyses have been performed and the dataset is made 'as close as needed' (because of the personal and sensitive data).  

Contact details of the research team: Pascalia Munyewende: pmunyewende@wrhi.ac.za
DOI: 10.5281/zenodo.14999985
title: HIGH Horizons - Healthcare Worker Baseline Study: Transcripts of IDIs in South Africa

description: This dataset contains the transcripts of 15 in-depth interviews (IDIs) conducted in November 2023 to May 2024, in antenatal, postnatal, labour and neonatal wards of a regional hospital and community health centre in South Africa., all within the context of the healthcare worker baseline study of HIGH Horizons.

The IDIs explored healthcare workers'  perceptions of working in elevated temperatures on well-being, productivity, mood, and quality of care.  The topic guide for our in-depth interviews with health care workers is available (see uploaded Supplementary File 1, also included in our peer-reviewed journal article). 

The full dataset will be uploaded once all data analyses have been performed and the dataset is made 'as close as needed' (because of the personal and sensitive data).  

Contact details of the research team: Pascalia Munyewende: pmunyewende@wrhi.ac.za
DOI: 10.15468/dl.5233e9
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2300 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001913-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15004645
title: tilang syariah
DOI: 10.5281/zenodo.15004646
title: tilang syariah
DOI: 10.15468/dl.rsd2gz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pineus pini (Koch, 1857)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001914-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unqsqy
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Armeria velutina Boiss. & Reut.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 23 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001915-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fh4a4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus tremolsianus Pau)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001916-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/vh9nlo
title: 2D materials based detectors performance

description: The 2D material based detectors performance. I-V curves, dynamic resistance, detectivity, gain.
DOI: 10.15468/dl.r6gpcx
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex scabrifolia Steud.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 250 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puxs8r
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduncellus balearicus (J.J.Rodr.) G.López)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7fcuq
title: Occurrence Download

description: A dataset containing 25563 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eretmochelys imbricata (Linnaeus, 1766)"
 ]
}

 The dataset includes 25563 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001919-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14512247
title: A 30-meter resolution global land productivity dynamics dataset from 2013 to 2022

description: This dataset is the first global scale 30 m land productivity dynamics (LPD) dataset from 2013 to 2022, which provides essential data support for SDG 15.3.1 monitoring and reporting globally. 

Method

The dataset leveraging the Google Earth Engine (GEE) platform and utilizing Landsat-8 and MODIS imagery, employed the Gap-filling and Savitzky–Golay filtering (GF-SG) algorithm, advanced spatiotemporal filtering method, FAO-WOCAT methodology to generate.

Data download instructions

The global 30 m LPD result described in this paper are available in Zendo (https://doi.org/10.5281/zenodo.1389040160) format under the Creative Commons license CC-BY. The result is divided into 56 ZIP files based on longitude (0°, ±45°, ±90°, ±135°, ±180°) and latitude (0°, ±28°, 52°N, 68°N, 78°N, 84°N). Each ZIP file contains the LPD result in TIFF format and is named as “Global_LPD_30m_13_22_geometry[a]_[b]_[c]”, where [a] represents the sequential number from 1 to 56, [b] denotes the longitude of the upper-left corner of the LPD tile, and [c] denotes the latitude of the upper-left corner of the LPD tile. After downloading a specific ZIP file, the user can mosaic the TIFF files within it and then start using them.

Data description

Pixel value 1 represents declining land productivity, 2 represents early signs of decline of land productivity, 3 represents stable but stressed land productivity, 4 represents stable and not stressed land productivity, and 5 represents increasing land productivity.
DOI: 10.15468/dl.k68k7j
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduncellus dianius Webb)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001920-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/6ecf-gj02
title: Respiration Sensing with Cell-free Massive MIMO

description: We introduce BS-Breath, the first open dataset for respiration sensing using a cell-free massive MIMO system. Collected from a 64-antenna MIMO testbed, this dataset provides uplink Channel State Information (CSI) at 3.51 GHz, captured from 10 subjects performing controlled breathing. Ground truth respiration data is synchronized using a Motion Capture (MoCap) system, enabling precise validation. The dataset includes raw CSI measurements, processed breathing signals, and MoCap recordings, supporting research in Integrated Sensing and Communication (ISAC), wireless health monitoring, and smart environments. By making this dataset publicly available, we aim to accelerate advancements in wireless-based vital sign monitoring and multi-antenna signal processing techniques.
DOI: 10.15468/dl.sretbv
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenus niveus Fauvel, 1865",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 568 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001921-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.