cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15617351
title: Insights into the comprehensive carbon cycle in a mangrove ecosystem: A case study for understanding carbon burial, outgassing, and outwelling in a subtropical island

description: A dataset from the paper "Carbon Cycle in a Mangrove Ecosystem: Insights into Carbon Burial, Outgassing, and Outwelling in a Subtropical Island" submitted to Journal of Geophysical Research: Biogeosciences in 2025. The methods used for data collection and processing are detailed in the article.
DOI: 10.6084/m9.figshare.29712791
title: <b>Global surface ocean fCO2 from CSIR-ML6 (v2025)</b>

description: The CSIR-ML6-v2025 revises the original CSIR-ML6 method by Gregor et al. (2019), extending the monthly CO2 data product through December 15, 2024. The following modifications have been implemented:SOCAT-v2025 is now used.ERA5 reanalysis wind data and mean sea level pressure (MSLP) replace ERA-interim data.kw, the gas-exchange coefficient, has been scaled appropriately for the ERA5 wind product, following the recommendations of Fay and Gregor et al. (2021)fCO2, the sea surface fugacity of CO2, is reported according to the Global Carbon Budget guidelines, replacing pCO2, the sea surface partial pressure of CO2.<br><b>NETCDF FILE:</b><br>The dataset is stored in a single netCDF file containing the following main data variables:sfco2: surface fugacity of CO2 for the ensemble average (in µatm).fgco2: air-sea CO2 fluxes (in mol m-2 yr-1).area: the total surface ocean area per 1º by 1º grid cell (in m2), serving as a mask for the data.alpha: the solubility of CO2 in seawater, in mol m⁻³ µatm⁻¹, calculated using Weiss’s (1974) parameterization with EN4 salinity and OISST temperatures.kw: the gas transfer velocity(kw), appropriately scaled, for ERA-5 wind product, as recommended by Fay and Gregor et al. (2021).ice: the ice fraction, indicating the open ocean fraction, to account for seasonal ice cover in high latitudes.fco2atm: atmospheric fCO2 from NOAA's marine boundary layer product.<br>Pleas<br><b>CITATION:</b>Please cite the dataset as Djeutchouang et al. (2025), reference DOI: 10.6084/m9.figshare.26564140, and the original publication by Gregor et al. (2019), reference DOI: 10.5194/gmd-12-5113-2019.<br><br><b>HOST:</b><br>CSIR, Southern Ocean Carbon – Climate Observatory (SOCCO)
DOI: 10.6084/m9.figshare.29712791.v1
title: <b>Global surface ocean fCO2 from CSIR-ML6 (v2025)</b>

description: The CSIR-ML6-v2025 revises the original CSIR-ML6 method by Gregor et al. (2019), extending the monthly CO2 data product through December 15, 2024. The following modifications have been implemented:SOCAT-v2025 is now used.ERA5 reanalysis wind data and mean sea level pressure (MSLP) replace ERA-interim data.kw, the gas-exchange coefficient, has been scaled appropriately for the ERA5 wind product, following the recommendations of Fay and Gregor et al. (2021)fCO2, the sea surface fugacity of CO2, is reported according to the Global Carbon Budget guidelines, replacing pCO2, the sea surface partial pressure of CO2.<br><b>NETCDF FILE:</b><br>The dataset is stored in a single netCDF file containing the following main data variables:sfco2: surface fugacity of CO2 for the ensemble average (in µatm).fgco2: air-sea CO2 fluxes (in mol m-2 yr-1).area: the total surface ocean area per 1º by 1º grid cell (in m2), serving as a mask for the data.alpha: the solubility of CO2 in seawater, in mol m⁻³ µatm⁻¹, calculated using Weiss’s (1974) parameterization with EN4 salinity and OISST temperatures.kw: the gas transfer velocity(kw), appropriately scaled, for ERA-5 wind product, as recommended by Fay and Gregor et al. (2021).ice: the ice fraction, indicating the open ocean fraction, to account for seasonal ice cover in high latitudes.fco2atm: atmospheric fCO2 from NOAA's marine boundary layer product.<br>Pleas<br><b>CITATION:</b>Please cite the dataset as Djeutchouang et al. (2025), reference DOI: 10.6084/m9.figshare.26564140, and the original publication by Gregor et al. (2019), reference DOI: 10.5194/gmd-12-5113-2019.<br><br><b>HOST:</b><br>CSIR, Southern Ocean Carbon – Climate Observatory (SOCCO)
DOI: 10.5281/zenodo.17104176
title: Cross-process-chain dataset archive: Joined data collection from injection molding and screw driving
DOI: 10.15468/dl.vxj5e2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schizodon australis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005810-250914085247600/datasets/export for details.
DOI: 10.5281/zenodo.17063347
title: Whole Blood RNAsequencing - Teplizumab for Prevention of Type 1 Diabetes In Relatives "At-Risk" (TN10)

description: In this placebo-controlled phase 2 clinical trial (ClinicalTrials.gov Identifier: NCT01030861), non-diabetic individuals with a T1D relative from the TN01 study (ClinicalTrials.gov Identifier: NCT00097292), age of at least 8 years at time of randomization with at least two diabetes-related autoantibodies and demonstrated abnormal glucose tolerance (stage 2 T1D) were randomized 1:1 to receive either placebo and teplizumab for 14 days with the primary outcome being the progression toward overt diabetes onset. Whole blood was collected for bulk-whole blood RNA-sequencing at baseline, day 20 and month 12.
DOI: 10.5281/zenodo.17063348
title: Whole Blood RNAsequencing - Teplizumab for Prevention of Type 1 Diabetes In Relatives "At-Risk" (TN10)

description: In this placebo-controlled phase 2 clinical trial (ClinicalTrials.gov Identifier: NCT01030861), non-diabetic individuals with a T1D relative from the TN01 study (ClinicalTrials.gov Identifier: NCT00097292), age of at least 8 years at time of randomization with at least two diabetes-related autoantibodies and demonstrated abnormal glucose tolerance (stage 2 T1D) were randomized 1:1 to receive either placebo and teplizumab for 14 days with the primary outcome being the progression toward overt diabetes onset. Whole blood was collected for bulk-whole blood RNA-sequencing at baseline, day 20 and month 12.
DOI: 10.5281/zenodo.17035450
title: Single-cell RNA-sequencing of peripheral blood in new-onset type 1 diabetes

description: Peripheral blood samples from newly diabetic T1D donors were collected in EDTA-coated tubes. Red blood cells were lysed using RBC (Red Blood Cell) Lysis buffer (Roche, 11814389001, Basel, Switzerland) according to manufacturer’s instructions. Briefly, 2 mL whole blood was resuspended in 4 mL of RBC Lysis buffer and incubated on shaker (700 rpm) for 15 min. After centrifugation (5 min at 500´g), the pellet was resuspended in 4 mL of RBC Lysis buffer and spun down again. Cells were resuspended in PBS with 1mM EDTA (Corning, 46-034-Cl, Corning, NY, USA). All procedures were conducted at RT (room temperature) and under sterile conditions. Isolated cells were then kept on ice before proceeding to the preparation for single-cell sequencing. Samples were counted on a LUNA-FL Automated Cell Counter (Logos Biosystems, South Korea) and were loaded on a BD Rhapsody (BD Biosciences, Franklin Lakes, NJ, USA) cartridge with a targeted capture of 25,000-40,000 cells. Reverse transcription, cDNA amplification and library construction were performed following the manufacturer’s instructions (BD Biosciences, Cat No. 23-24117(02)). Libraries were sequenced on a NovaSeq6000 or NextSeq2000 flow cell (Illumina, San Diego, CA, USA). The BD Rhapsody Sequence Analysis Pipeline (BD; version 1.12) was used to map the FASTQ files to the human reference genome (GRCh38).
DOI: 10.5281/zenodo.17035449
title: Single-cell RNA-sequencing of peripheral blood in new-onset type 1 diabetes

description: Peripheral blood samples from newly diabetic T1D donors were collected in EDTA-coated tubes. Red blood cells were lysed using RBC (Red Blood Cell) Lysis buffer (Roche, 11814389001, Basel, Switzerland) according to manufacturer’s instructions. Briefly, 2 mL whole blood was resuspended in 4 mL of RBC Lysis buffer and incubated on shaker (700 rpm) for 15 min. After centrifugation (5 min at 500´g), the pellet was resuspended in 4 mL of RBC Lysis buffer and spun down again. Cells were resuspended in PBS with 1mM EDTA (Corning, 46-034-Cl, Corning, NY, USA). All procedures were conducted at RT (room temperature) and under sterile conditions. Isolated cells were then kept on ice before proceeding to the preparation for single-cell sequencing. Samples were counted on a LUNA-FL Automated Cell Counter (Logos Biosystems, South Korea) and were loaded on a BD Rhapsody (BD Biosciences, Franklin Lakes, NJ, USA) cartridge with a targeted capture of 25,000-40,000 cells. Reverse transcription, cDNA amplification and library construction were performed following the manufacturer’s instructions (BD Biosciences, Cat No. 23-24117(02)). Libraries were sequenced on a NovaSeq6000 or NextSeq2000 flow cell (Illumina, San Diego, CA, USA). The BD Rhapsody Sequence Analysis Pipeline (BD; version 1.12) was used to map the FASTQ files to the human reference genome (GRCh38).
DOI: 10.5281/zenodo.15676385
title: Antibiotic resistant bacteria in ready-to-eat meat products from Switzerland

description: This dataset supports a study investigating the prevalence and characteristics of antibiotic-resistant bacteria in ready-to-eat meat products from Switzerland. With antimicrobial resistance remaining a major global health concern—particularly in the context of intensive livestock production—this study examines ready-to-eat meat products as potential reservoirs for antibiotic resistant bacteria.

A total of 804 ready-to-eat meat products were collected from butcheries across Switzerland. Selective culture methods were used to isolate presumptive antibiotic-resistant bacteria, specifically targeting vancomycin-resistant Enterococci (VRE), extended-spectrum beta-lactamase-producing Enterobacterales (ESBL), carbapenem-resistant Enterobacterales (CRE), and methicillin-resistant Staphylococcus aureus (MRSA).

The "phenotypic resistance dataset" contains antibiotic susceptibility testing results for the isolates, performed using broth microdilution. It reports minimum inhibitory concentration (MIC) values for up to 31 antibiotics (Enterobacterales) or 24 antibiotics (Enterococci). Colistin resistance was assessed separately using the drop test. The dataset also includes multidrug resistance classifications (e.g., MDR index). The "resistance gene and mobile genetic element annotations" include resistance genes identified via AMRFinder Plus, classified by antibiotic class (e.g., beta-lactams, cephalosporins, carbapenems, metals). Mobile genetic elements were identified using MobileElementFinder, and plasmid typing was performed using MOB-suite. The "ARG localization dataset" categorizes resistance genes based on their genomic location—plasmid, chromosome, or phage—using SourceFinder.

Key findings from the dataset include the recovery of 177 antibiotic-resistant bacterial isolates, of which 148 were multidrug-resistant (resistant to ≥3 antibiotic classes). These included third-generation cephalosporin-resistant Enterobacterales, vancomycin-resistant Enterococci, and one methicillin-resistant Staphylococcus aureus (MRSA). All isolates remained susceptible to critical last-resort antibiotics such as carbapenems and colistin. Whole genome sequencing of 31 representative isolates revealed 164 unique resistance genes across 25 resistance classes, including those conferring resistance to beta-lactams, cephalosporins, tetracyclines, and macrolides. Co-selection factors such as metal resistance genes were also identified. Most ARGs were chromosomally encoded, though several were plasmid-borne, indicating potential for horizontal gene transfer.

The dataset includes isolate metadata, phenotypic resistance profiles, and annotated resistance gene information. Sequencing data (both short- and long-read) are available via the National Center for Biotechnology Information (NCBI).
DOI: 10.5281/zenodo.17129914
title: Antibiotic resistant bacteria in ready-to-eat meat products from Switzerland

description: This dataset supports a study investigating the prevalence and characteristics of antibiotic-resistant bacteria in ready-to-eat meat products from Switzerland. With antimicrobial resistance remaining a major global health concern—particularly in the context of intensive livestock production—this study examines ready-to-eat meat products as potential reservoirs for antibiotic resistant bacteria.

A total of 804 ready-to-eat meat products were collected from butcheries across Switzerland. Selective culture methods were used to isolate presumptive antibiotic-resistant bacteria, specifically targeting vancomycin-resistant Enterococci (VRE), extended-spectrum beta-lactamase-producing Enterobacterales (ESBL), carbapenem-resistant Enterobacterales (CRE), and methicillin-resistant Staphylococcus aureus (MRSA).

The "phenotypic resistance dataset" contains antibiotic susceptibility testing results for the isolates, performed using broth microdilution. It reports minimum inhibitory concentration (MIC) values for up to 31 antibiotics (Enterobacterales) or 24 antibiotics (Enterococci). Colistin resistance was assessed separately using the drop test. The dataset also includes multidrug resistance classifications (e.g., MDR index). The "resistance gene and mobile genetic element annotations" include resistance genes identified via AMRFinder Plus, classified by antibiotic class (e.g., beta-lactams, cephalosporins, carbapenems, metals). Mobile genetic elements were identified using MobileElementFinder, and plasmid typing was performed using MOB-suite. The "ARG localization dataset" categorizes resistance genes based on their genomic location—plasmid, chromosome, or phage—using SourceFinder.

Key findings from the dataset include the recovery of 177 antibiotic-resistant bacterial isolates, of which 148 were multidrug-resistant (resistant to ≥3 antibiotic classes). These included third-generation cephalosporin-resistant Enterobacterales, vancomycin-resistant Enterococci, and one methicillin-resistant Staphylococcus aureus (MRSA). All isolates remained susceptible to critical last-resort antibiotics such as carbapenems and colistin. Whole genome sequencing of 31 representative isolates revealed 164 unique resistance genes across 25 resistance classes, including those conferring resistance to beta-lactams, cephalosporins, tetracyclines, and macrolides. Co-selection factors such as metal resistance genes were also identified. Most ARGs were chromosomally encoded, though several were plasmid-borne, indicating potential for horizontal gene transfer.

The dataset includes isolate metadata, phenotypic resistance profiles, and annotated resistance gene information. Sequencing data (both short- and long-read) are available via the National Center for Biotechnology Information (NCBI).
DOI: 10.15468/dl.5p5mjn
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((117 36,119 36,119 38,117 38,117 36))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia boyciana",
 "Year 2020-2025"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005813-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38rhnu
title: Occurrence Download

description: A dataset containing 2070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 1913",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 2070 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005812-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4zfd2
title: Occurrence Download

description: A dataset containing 1183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "Geometry POLYGON((-1.46082 43.07493,-2.13857 42.10966,-2.71363 40.51798,-1.55324 39.92238,-0.40313 40.78497,0.0179 42.69498,-1.46082 43.07493))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ilex aquifolium"
 ]
}

 The dataset includes 1183 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005811-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4grzn8
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tandonia budapestensis",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005815-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2w6fs
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tandonia budapestensis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 323 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005814-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ty97v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tandonia budapestensis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005816-250914085247600/datasets/export for details.
DOI: 10.15468/dl.6f2a5n
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.28653 43.03038,-1.6383 42.66085,-1.94545 42.32504,-2.16117 41.47203,-2.12841 41.10756,-1.35206 40.37353,-0.95072 40.47904,-0.41424 40.62238,-0.15215 40.8558,-0.04977 41.06057,0.08947 41.55609,0.22052 42.02295,0.18776 42.40791,0.04033 42.66591,-0.31186 42.78467,-0.87291 42.98124,-1.28653 43.03038))",
 "TaxonKey is Sorbus aria"
 ]
}

 The dataset includes 573 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005817-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59xugu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tandonia budapestensis",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005820-250914085247600/datasets/export for details.
DOI: 10.15468/dl.txa5tp
title: Occurrence Download

description: A dataset containing 3751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 1914",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 3751 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005819-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5umnwr
title: Occurrence Download

description: A dataset containing 37826 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 = 'KZ'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2001 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 37826 records were derived from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005780-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kdz0i0
title: Data for Proof of concept for high-dose Cannabidiol pretreatment to antagonize opioid induced persistent apnea in mice

description: Labchart files of in vivo mouse recordings for "Proof of concept for high-dose Cannabidiol pretreatment to antagonize opioid induced persistent apnea in mice"
DOI: 10.15468/dl.w4fau3
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tandonia budapestensis",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005821-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kusfrk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lamprologus lethops)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005822-250914085247600/datasets/export for details.