cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14466/cefasdatahub.70
title: CLiP Vanuatu Microplastics in sediment 2018

description: This dataset contains 2 csv files. One file reports data on microplastic abundance in sediment expressed in number of particles for 5g sediment. Sediment was collected from 20 grabs deployed in Port Vila Bay and Mele Bay in Efate Island (Vanuatu) in 2018. The file also reports information on blank used, grab GPS coordinates and deployment time and the particulate size analysis (PSA) of the sediment. The other file contains the profile of a ATR-FT-IR spectrum analysis of a plastic particle (&gt;5mm). A READ-ME text file contains the description of columns content for the two csv files . A .zip file contains the picture of the plastic two folders with pictures of microplastics (particles with size  5 mm, Arthur et al., 2008) and macrolitter (particles with size &gt; 5 mm). The Commonwealth Litter Project (CLiP) supported Solomon Islands to take action on plastics entering the oceans. The assessment of microplastics in seawater was part of the action plan to define scientific baselines for future monitoring purposes and comparison. Samples were acquired deploying a small Van Veen grab (Duncan and Associates, UK, sampled area 0.025 square metre) off small vessels by hand. Grab were done only if the bottom was well visible and clear of live coral. Sediment grabs were subsampled with a steel spoon into sample jars for microplastics and PSA. Sample were then frozen (-18 degrees Celsius). A control jar was left exposed to the atmosphere during the subsampling to investigate background contamination. In the lab, visible plastic particles &gt;5mm were removed and analysed using ATR-FT-IR to identify particle composition comparing their spectrum to a polymers library. The rest of the sample was dried and homogenised, chemically digested with 30% KOH:NaClO solution for 3 days at 50 degrees Celsius. Samples were then filtered, stained with Red Nile dye and a digital image was acquired through a microscope. Number of particles was counted and corrected for blank samples. ATR-FT-IR is the attenuated total reflection Fourier Transform infrared spectroscopy. A Thermo Fisher Scientific Nicolet iS5 ATR-FTIR with an OMNIC software (version 9.9.473) was used and polymers were identified based on the percentage match of IR spectra to a polymer library. Only spectra matched greater than 70 percent were accepted Spectra were collected in the range 4000 – 650 1/cm at a resolution of 4 1/cm.
DOI: 10.15468/dl.63uwwu
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 89 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035739-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8zzux
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 161 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9a7fp
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia chirayita (Roxb.) H.Karst.",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035741-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74ewq7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035743-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbhjk8
title: Occurrence Download

description: A dataset containing 12654 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'LR'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 12654 records were derived from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035735-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5zg6gk92
title: MassIVE MSV000098117 - lipidomics of Arabidopsis roots
title: Raw Spectrum files of the lipodomics analysis. Data include the lipidomic profiling of 5 DAG Arabidopsis seedlings from wild type and mips1 mips3 from untargeted lipidomic analysis using four biological replicates per genotype, and the absolute quantification of PI, PIP species, and PIP2 species in 5 DAG Arabidopsis seedlings from wild type and mips1 mips3.
DOI: 10.15468/dl.gx42xu
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035744-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15638848
title: A multi-source eco-hydrological dataset for Northern, Southern, and Eastern Xinjiang (2000–2023)

description: This dataset provides a spatially explicit eco-hydrological data collection for Xinjiang, China, covering the years 2000–2023. It integrates long-term remote sensing and climate records to support studies of vegetation–water interactions, land cover dynamics, and environmental attribution across arid landscapes. All data are resampled to a unified 825 m resolution and georeferenced in WGS84 coordinate system.

**1. Original Remote Sensing and Climate Data**  This section includes year-by-year observations from publicly available Earth observation sources:- MODIS-derived indicators: Gross Primary Productivity (GPP), Evapotranspiration (ET), NDVI, and LAI  - TerraClimate variables: Precipitation (PR), Soil Moisture (SOIL), and Average Temperature (TEMP)  - Land cover: Annual maps from the China Land Cover Dataset (CLCD)  - Anthropogenic proxy: Night-time light intensity (DMSP-OLS)  - Shapefiles: Ecohydrological zoning of Northern, Southern, and Eastern Xinjiang

**2. EcoIndex and Coupling Indicators**  This section contains composite indicators and diagnostic layers derived from the original variables:- EcoIndex: A dimension-reduced composite index integrating water use efficiency (WUE = GPP/ET) and NDVI, using a maximum variance projection method  - ESI (Ecohydrological Synchrony Index): Cosine similarity metric between NDVI and WUE, reflecting vegetation–water coordination strength  - Quadrant classification maps: Annual categorical layers representing four vegetation–water functional regimes (co-enhancement, co-degradation, stress release, emerging stress)

**3. Attribution of Climatic and Anthropogenic Drivers**  This section includes pixel-wise attribution products generated from machine learning models:- Temporal trend layers: Sen’s slope and Mann–Kendall trend significance for EcoIndex and ESI  - Driver importance maps: Random forest–based variable importance for climatic (PR, TEMP, SOIL) and anthropogenic (night-time lights, land cover) factors  - Tabular summaries:  - `trend_statistics.csv`: Regional statistics of upward/downward/stable trends and average slope magnitudes    - `Regional Statistics of Driver Importance Means and Medians in Xinjiang.csv`: Regional averages and medians of driver importance scores

All layers are stored in GeoTIFF, CSV, or ESRI Shapefile formats and organized into subfolders by category and year. The dataset supports eco-hydrological research, spatiotemporal modeling, and environmental attribution analyses across dryland regions.
DOI: 10.5281/zenodo.15638849
title: A multi-source eco-hydrological dataset for Northern, Southern, and Eastern Xinjiang (2000–2023)

description: This dataset provides a spatially explicit eco-hydrological data collection for Xinjiang, China, covering the years 2000–2023. It integrates long-term remote sensing and climate records to support studies of vegetation–water interactions, land cover dynamics, and environmental attribution across arid landscapes. All data are resampled to a unified 825 m resolution and georeferenced in WGS84 coordinate system.

**1. Original Remote Sensing and Climate Data**  This section includes year-by-year observations from publicly available Earth observation sources:- MODIS-derived indicators: Gross Primary Productivity (GPP), Evapotranspiration (ET), NDVI, and LAI  - TerraClimate variables: Precipitation (PR), Soil Moisture (SOIL), and Average Temperature (TEMP)  - Land cover: Annual maps from the China Land Cover Dataset (CLCD)  - Anthropogenic proxy: Night-time light intensity (DMSP-OLS)  - Shapefiles: Ecohydrological zoning of Northern, Southern, and Eastern Xinjiang

**2. EcoIndex and Coupling Indicators**  This section contains composite indicators and diagnostic layers derived from the original variables:- EcoIndex: A dimension-reduced composite index integrating water use efficiency (WUE = GPP/ET) and NDVI, using a maximum variance projection method  - ESI (Ecohydrological Synchrony Index): Cosine similarity metric between NDVI and WUE, reflecting vegetation–water coordination strength  - Quadrant classification maps: Annual categorical layers representing four vegetation–water functional regimes (co-enhancement, co-degradation, stress release, emerging stress)

**3. Attribution of Climatic and Anthropogenic Drivers**  This section includes pixel-wise attribution products generated from machine learning models:- Temporal trend layers: Sen’s slope and Mann–Kendall trend significance for EcoIndex and ESI  - Driver importance maps: Random forest–based variable importance for climatic (PR, TEMP, SOIL) and anthropogenic (night-time lights, land cover) factors  - Tabular summaries:  - `trend_statistics.csv`: Regional statistics of upward/downward/stable trends and average slope magnitudes    - `Regional Statistics of Driver Importance Means and Medians in Xinjiang.csv`: Regional averages and medians of driver importance scores

All layers are stored in GeoTIFF, CSV, or ESRI Shapefile formats and organized into subfolders by category and year. The dataset supports eco-hydrological research, spatiotemporal modeling, and environmental attribution analyses across dryland regions.
DOI: 10.15468/dl.4nwysq
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035742-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sehn6m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035745-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vkf7bt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Embelia ribes Burm.fil.",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035747-250525065834625/datasets/export for details.
DOI: 10.57745/mpppyn
title: Instruments-solaires.zip

description: Documentation et fiche technique détaillée pour chaque instrument (optique, spectrographe, polarimétrie et acquisition numérique) et logiciels de pilotage associés
DOI: 10.57745/vybh1i
title: Instruments.pdf

description: Description du contenu de l'archive
DOI: 10.57745/kolsob
title: Description des instruments solaires du site de Meudon et de la Lunette Tourelle du Pic du Midi et logiciels associés de pilotage

description: Cette archive comprend une description détaillée des instruments solaires (spectrographe, DPSM, imagerie) de la Tour solaire de Meudon, du spectrohéliographe et des héliographes à filtres du Grand Sidérostat à Meudon, et du Pic du Midi (spectrographe, DPSM et imagerie à la lunette Tourelle). Elle contient aussi les logiciels développés depuis 1998 pour l’acquisition numérique et le pilotage des instruments.
DOI: 10.15468/dl.4h6fzq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035749-250525065834625/datasets/export for details.
DOI: 10.15468/dl.a6cyn6
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Eurema brigitta (Stoll, 1780)"
 ]
}

 The dataset includes 705 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035748-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg4dtr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035751-250525065834625/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12128745
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.4tpasd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035752-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15497742
title: Project Jarāʾid: Snapshot of bibliographic metadata from Wikidata for all Arabic periodicals published worldwide before 1930

description: Monthly snapshot of all bibliographic data from Wikidata for Arabic periodicals published worldwide before 1930. This repository contains RDF for all Wikidata items of the first-order (i.e. periodicals), serialised in Turtle and JSON-LD.

The data set comprises titles, type of publication, publication dates, intervals, editors, places of publication and holdings.
DOI: 10.34740/kaggle/dsv/12128761
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vchyaf
title: Occurrence Download

description: A dataset containing 27739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Poecile hudsonicus (J.R.Forster, 1772)",
 "Year 2020-2025"
 ]
}

 The dataset includes 27739 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035753-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15638902
title: Dataset for the manuscript: "Transient Perinuclear Actin Rings Serve as Safety Belts to Prevent Cell Aging and Apoptosis"

description: This README file was generated on 2025-06-11 by Haoxiang Yang and Hongyuan Jiang, jianghy@ustc.edu.cn
Last update: 2024-06-11

-----------------------------------------
GENERAL INFORMATION
-----------------------------------------
1 Title of dataset: Transient Perinuclear Actin Rings Serve as Safety Belts to Prevent Cell Aging and Apoptosis

2 DOI
   Dataset: 10.5281/zenodo.15631612
   Manuscript: Revisions

3 Contact Information

   Name: Hongyuan Jiang
   Institution: University of Science and Technology of China (USTC) 
  Email: jianghy@ustc.edu.cn
  ORCID: 0000-0003-0266-3011
   Role: Primary Investigator

4 Period/Date of Data Collection: 2019-2025

5 Geographic Location of Data Collection: the People's Republic of China
DOI: 10.5281/zenodo.15638903
title: Dataset for the manuscript: "Transient Perinuclear Actin Rings Serve as Safety Belts to Prevent Cell Aging and Apoptosis"

description: This README file was generated on 2025-06-11 by Haoxiang Yang and Hongyuan Jiang, jianghy@ustc.edu.cn
Last update: 2024-06-11

-----------------------------------------
GENERAL INFORMATION
-----------------------------------------
1 Title of dataset: Transient Perinuclear Actin Rings Serve as Safety Belts to Prevent Cell Aging and Apoptosis

2 DOI
   Dataset: 10.5281/zenodo.15631612
   Manuscript: Revisions

3 Contact Information

   Name: Hongyuan Jiang
   Institution: University of Science and Technology of China (USTC) 
  Email: jianghy@ustc.edu.cn
  ORCID: 0000-0003-0266-3011
   Role: Primary Investigator

4 Period/Date of Data Collection: 2019-2025

5 Geographic Location of Data Collection: the People's Republic of China
DOI: 10.15468/dl.gkmjms
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035754-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15639029
title: Anexo 2: Ficha análisis de contenido GP Baréin 2015
DOI: 10.5281/zenodo.15639030
title: Anexo 2: Ficha análisis de contenido GP Baréin 2015