cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16980182
title: Global Dataset on Brown Seaweed Abundance

description: This dataset brings together global records of brown seaweed abundance, including biomass, density, percentage cover, and individual traits such as weight and size. Data were compiled from 550 independent studies published between 1951 and 2024, following a systematic literature search and strict inclusion criteria focusing on wild, canopy-forming taxa (Laminariales, Fucales, Tilopteridales, Desmarestiales). The dataset encompasses 205 taxa across more than 1,100 sites and 90 ecoregions worldwide, spanning intertidal to subtidal habitats. All records were curated, validated, georeferenced, and standardized to common units to ensure comparability across sources. This harmonized resource provides a basis for regional and global comparative studies and for long-term monitoring of seaweed forest abundance.
DOI: 10.5281/zenodo.16980181
title: Global Dataset on Brown Seaweed Abundance

description: This dataset brings together global records of brown seaweed abundance, including biomass, density, percentage cover, and individual traits such as weight and size. Data were compiled from 550 independent studies published between 1951 and 2024, following a systematic literature search and strict inclusion criteria focusing on wild, canopy-forming taxa (Laminariales, Fucales, Tilopteridales, Desmarestiales). The dataset encompasses 205 taxa across more than 1,100 sites and 90 ecoregions worldwide, spanning intertidal to subtidal habitats. All records were curated, validated, georeferenced, and standardized to common units to ensure comparability across sources. This harmonized resource provides a basis for regional and global comparative studies and for long-term monitoring of seaweed forest abundance.
DOI: 10.5281/zenodo.14890189
title: Yangtze River Delta Ecosystem Dataset: YRD_EM, Training Samples, and Testing Samples

description: By utilizing the hierarchical-modular mapping framework, combined with high-resolution optical remote sensing data (such as HLS), radar data (such as Sentinel-1), and relevant covariates such as terrain, the 2020 Yangtze River Delta ecosystem map (YRD_EM) was generated. This map includes 15 detailed ecosystem types, covering a wide range of ecological units from forests and wetlands to agricultural and urbanized areas.The training sample dataset includes 26,973 samples, covering 10 ecosystem types. These samples were generated through the integration of multi-source land cover data and visual interpretation. The testing sample dataset contains 3,366 samples, covering 15 ecosystem types, and these samples were primarily generated through visual interpretation.
DOI: 10.5281/zenodo.15462103
title: Yangtze River Delta Ecosystem Dataset: YRD_EM, Training Samples, and Testing Samples

description: By utilizing the hierarchical-modular mapping framework, combined with high-resolution optical remote sensing data (such as HLS), radar data (such as Sentinel-1), and relevant covariates such as terrain, the 2020 Yangtze River Delta ecosystem map (YRD_EM) was generated. This map includes 15 detailed ecosystem types, covering a wide range of ecological units from forests and wetlands to agricultural and urbanized areas.The training sample dataset includes 26,973 samples, covering 10 ecosystem types. These samples were generated through the integration of multi-source land cover data and visual interpretation. The testing sample dataset contains 3,366 samples, covering 15 ecosystem types, and these samples were primarily generated through visual interpretation.
DOI: 10.15468/dl.bjrtus
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parthenocissus tricuspidata",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003333-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34943/fb2576d6-88d9-4eab-a0b8-b75902fd59f2
title: Nanaimo Harbour - Descanso Bay Ferry Route Oxygen Sensor Deployed 2025-08-23

description: The JFE Rinko ARO-FT (SN 0G6U007) was deployed on 2025-08-23 on Nanaimo Harbour - Descanso Bay Ferry Route. This ferry route goes between Nanaimo Harbour terminal in Nanaimo, BC and the Descanso Bay terminal on Gabriola Island, BC. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.euz3r7
title: Occurrence Download

description: A dataset containing 3182 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Population counts of priority vascular plants species in Flanders, Belgium"
 ]
}

 The dataset includes 3182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003334-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8h8eb
title: Occurrence Download

description: A dataset containing 8994816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((83.50235 23.56362,88.50236 23.56362,93.50236 23.56362,93.50236 18.56362,98.50236 18.56362,103.50236 18.56362,103.50236 13.56362,103.50236 8.56362,103.50236 3.56362,103.50236 -1.43638,108.50236 -1.43638,113.50236 -1.43638,113.50236 3.56362,118.50236 3.56362,118.50236 8.56362,123.50236 8.56362,123.50236 13.56362,123.50236 18.56362,128.50236 18.56362,128.50236 23.56362,133.50236 23.56362,133.50236 28.56362,133.50236 33.56362,128.50236 33.56362,128.50236 38.56362,133.50236 38.56362,133.50236 43.56362,138.50236 43.56362,138.50236 48.56362,138.50236 53.56362,133.50236 53.56362,128.50236 53.56362,128.50236 58.56362,123.50236 58.56362,118.50236 58.56362,118.50236 53.56362,113.50236 53.56362,113.50236 48.56362,108.50236 48.56362,108.50236 43.56362,103.50236 43.56362,98.50236 43.56362,98.50236 48.56362,93.50236 48.56362,93.50236 53.56362,88.50236 53.56362,83.50235 53.56362,83.50235 48.56362,78.50235 48.56362,78.50235 43.56362,73.50235 43.56362,68.50235 43.56362,68.50235 38.56362,68.50235 33.56362,73.50235 33.56362,73.50235 28.56362,78.50235 28.56362,78.50235 23.56362,83.50235 23.56362)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "LastInterpreted is greater than or equal to 2025-07-30",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8994816 records from 4489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003244-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597356
title: Austro-Tai comparative dataset (Reconstructions)

description: List of origional Proto-Austro-Tai, Proto-Austronesian, and Proto-Kra-Dai reconstructions wtih supporting data from Proto-Tai, Proto-Hlai, Proto-Ong-Be, Proto-Kra, Proto-Kam-Sui, and Lakkja.
DOI: 10.5281/zenodo.15597357
title: Austro-Tai comparative dataset (Reconstructions)

description: List of origional Proto-Austro-Tai, Proto-Austronesian, and Proto-Kra-Dai reconstructions wtih supporting data from Proto-Tai, Proto-Hlai, Proto-Ong-Be, Proto-Kra, Proto-Kam-Sui, and Lakkja.
DOI: 10.60893/figshare.jcp.29856566
title: Supplementary Materials

description: Energy Difference Between Singlet and Triplet For Ni-porphyrins; *OOH Intermediate state structures; The Overpotential Under Voltage Of ORR Calculation; Cartesian coordinates
DOI: 10.60893/figshare.jcp.29856566.v1
title: Supplementary Materials

description: Energy Difference Between Singlet and Triplet For Ni-porphyrins; *OOH Intermediate state structures; The Overpotential Under Voltage Of ORR Calculation; Cartesian coordinates
DOI: 10.15468/dl.smpknq
title: Occurrence Download

description: A dataset containing 106795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Melittis melissophyllum"
 ]
}

 The dataset includes 106795 records from 708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050054-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16939315
title: Sediment Characteristics in Stonewort Chara tomentosa assemblages

description: The data were used to investigate the differences in sediment and porewater physical and chemical characteristics in seafloor areas occupied by the stonewort species Chara tomentosa in comparison with those where no charophytes were found. The aim was to study the environmental requirements of C. tomentosa in the light of restoration of charophyte habitats.
DOI: 10.5281/zenodo.16939316
title: Sediment Characteristics in Stonewort Chara tomentosa assemblages

description: The data were used to investigate the differences in sediment and porewater physical and chemical characteristics in seafloor areas occupied by the stonewort species Chara tomentosa in comparison with those where no charophytes were found. The aim was to study the environmental requirements of C. tomentosa in the light of restoration of charophyte habitats.
DOI: 10.6084/m9.figshare.28938365.v1
title: Disaster resilience assessment - Data and Code

description: Data includes the original values of 43 indicators for assessing China's disaster resilience from 2006 to 2023.CDR contains all the codes in the calculation, analysis and visualization process. In order to ensure the smooth operation of the code, it is necessary to load the relevant data (instructions are in the code)
DOI: 10.5281/zenodo.15338215
title: First evidence of nanoplastics in Antarctica soil

description: Quynh Nhu Phan Lea, Nikolaos Evangelioub, Crispin Halsalla, John Quintona, Ben W.J. Surridgea, Lorna Ashtonc, Sabine Eckhardtb, Livio Ruggierod, Alessandra Sciarrae, Fabio Florindoe, Claudio Zacconef,e,*, Dušan Materićg*

 

a Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, United Kingdom

b Stiftelsen NILU (former Norwegian Institute for Air Research), Instituttveien 18, 2007 Kjeller, Norway

c Department of Chemistry, Lancaster University, Lancaster, LA1 4YQ, United Kingdom

d Italian Institute for Environmental Protection and Research, Roma, Italy

e Istituto Nazionale di Geofisica e Vulcanologia, Via Vigna Murata 605, 00143 Roma, Italy

f Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy

g Department of Environmental Analytical Chemistry, Helmoltz Centre for Environmental Research – UFZ, Permoserstraße 15, 04318 Leipzig, Germany

*Corresponding authors: 

For plastic analysis: Dušan Materić (dusan.materic@ufz.de)

For Antarctica soils: Claudio Zaccone (claudio.zaccone@univr.it)

 

Description

The ESRXX data is split into 2 parts:

Part 1 –   PTRMS Raw data: The data set contain raw data for 153 samples (including system and procedural blanks and samples in replicates across 15 sites. The data is stored in file PTRMS raw data.zip folder, while meta data can be found in PTR-MS raw data.zip folder.doc

Part 2 –   ppb data: Mass spectra were integrated over 7 minutes, beginning when the TD unit reached 200 °C, for which the 40 highest-intensity ions were used for fingerprinting. The data is stored in file ESR05-04-part 2-ppb data.zip while meta data can be found in ESR05-04-part 2-ppb data.doc

Part 3 - Output of the fingerprinting program: Four fingerprinting algorithms were used to score the similarity between sample and library mass spectra. ALG1 and ALG2 select the top n ion signals (e.g., 40) above m/z 100 and normalize to the highest peak. ALG3 and ALG4 normalize to the sum of all peaks. Polymer quantification was based on the 40 ions matching the library spectra. The calculation was improved by preserving ion signal ratios from the library, reducing interference from natural DOM. The data is stored in file ESR05-04-part 3-fingerprint report.zip

Part 4: Scripts and library mass spectra that were used for fingerprinting and the fingerprint method evaluation. For more detail refer to: https://doi.org/10.1021/acs.est.9b07540. The data is stored in file ESR05-04-part 4-scripts.zip
DOI: 10.5281/zenodo.15338214
title: First evidence of nanoplastics in Antarctica soil

description: Quynh Nhu Phan Lea, Nikolaos Evangelioub, Crispin Halsalla, John Quintona, Ben W.J. Surridgea, Lorna Ashtonc, Sabine Eckhardtb, Livio Ruggierod, Alessandra Sciarrae, Fabio Florindoe, Claudio Zacconef,e,*, Dušan Materićg*

 

a Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, United Kingdom

b Stiftelsen NILU (former Norwegian Institute for Air Research), Instituttveien 18, 2007 Kjeller, Norway

c Department of Chemistry, Lancaster University, Lancaster, LA1 4YQ, United Kingdom

d Italian Institute for Environmental Protection and Research, Roma, Italy

e Istituto Nazionale di Geofisica e Vulcanologia, Via Vigna Murata 605, 00143 Roma, Italy

f Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy

g Department of Environmental Analytical Chemistry, Helmoltz Centre for Environmental Research – UFZ, Permoserstraße 15, 04318 Leipzig, Germany

*Corresponding authors: 

For plastic analysis: Dušan Materić (dusan.materic@ufz.de)

For Antarctica soils: Claudio Zaccone (claudio.zaccone@univr.it)

 

Description

The ESRXX data is split into 2 parts:

Part 1 –   PTRMS Raw data: The data set contain raw data for 153 samples (including system and procedural blanks and samples in replicates across 15 sites. The data is stored in file PTRMS raw data.zip folder, while meta data can be found in PTR-MS raw data.zip folder.doc

Part 2 –   ppb data: Mass spectra were integrated over 7 minutes, beginning when the TD unit reached 200 °C, for which the 40 highest-intensity ions were used for fingerprinting. The data is stored in file ESR05-04-part 2-ppb data.zip while meta data can be found in ESR05-04-part 2-ppb data.doc

Part 3 - Output of the fingerprinting program: Four fingerprinting algorithms were used to score the similarity between sample and library mass spectra. ALG1 and ALG2 select the top n ion signals (e.g., 40) above m/z 100 and normalize to the highest peak. ALG3 and ALG4 normalize to the sum of all peaks. Polymer quantification was based on the 40 ions matching the library spectra. The calculation was improved by preserving ion signal ratios from the library, reducing interference from natural DOM. The data is stored in file ESR05-04-part 3-fingerprint report.zip

Part 4: Scripts and library mass spectra that were used for fingerprinting and the fingerprint method evaluation. For more detail refer to: https://doi.org/10.1021/acs.est.9b07540. The data is stored in file ESR05-04-part 4-scripts.zip
DOI: 10.15468/dl.7xgrg8
title: Occurrence Download

description: A dataset containing 3081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Aesculus flava"
 ]
}

 The dataset includes 3081 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007453-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asjcf4
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arcuatula senhousia",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007455-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwz3dy
title: Occurrence Download

description: A dataset containing 169 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 5216933 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5216933 OR CAST(occurrence.kingdomkey AS INTEGER) = 5216933 OR CAST(occurrence.phylumkey AS INTEGER) = 5216933 OR CAST(occurrence.classkey AS INTEGER) = 5216933 OR CAST(occurrence.orderkey AS INTEGER) = 5216933 OR CAST(occurrence.familykey AS INTEGER) = 5216933 OR CAST(occurrence.genuskey AS INTEGER) = 5216933 OR CAST(occurrence.specieskey AS INTEGER) = 5216933)
 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.occurrencestatus = 'PRESENT'
 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 169 records were derived from 432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007413-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thkj6q
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arcuatula senhousia",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007456-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qck664
title: Occurrence Download

description: A dataset containing 23926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Socratea exorrhiza"
 ]
}

 The dataset includes 23926 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007451-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axeqbw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arcuatula senhousia",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007457-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58053/mapbiomas/kywwgs
title: Secondary vegetation statistics by biomes and states - MapBiomas Brazil Collection 10

description: Area data (hectares) of secondary vegetation for biomes and states from 1986 to 2024, based on MapBiomas Brazil Collection 10.
DOI: 10.15468/dl.n5kznp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chrysichthys ogooensis, Chrysichthys okae, Chrysichthys ornatus, Chrysichthys platycephalus, Chrysichthys polli, Chrysichthys punctatus, Chrysichthys sharpii, Chrysichthys stappersii, Chrysichthys teugelsi, Chrysichthys thonneri, Chrysichthys thysi, Chrysichthys turkana, Chrysichthys uniformis, Chrysichthys wagenaari, Chrysichthys walkeri, Cirrhinus cirrhosus, Citharichthys stampflii, Citharidium ansorgii, Citharinops distichodoides, Citharinus citharus, Citharinus congicus, Citharinus eburneensis, Citharinus gibbosus, Citharinus latus, Citharinus macrolepis, Clariallabes attemsi, Clariallabes brevibarbis, Clariallabes centralis, Clariallabes heterocephalus, Clariallabes laticeps, Clariallabes longicauda, Clariallabes manyangae, Clariallabes melas, Clariallabes mutsindoziensis, Clariallabes petricola, Clariallabes platyprosopos, Clariallabes simeonsi, Clariallabes teugelsi, Clariallabes uelensis, Clariallabes variabilis, Clarias agboyiensis, Clarias albopunctatus, Clarias alluaudi, Clarias angolensis, Clarias anguillaris, Clarias buettikoferi, Clarias buthupogon, Clarias camerunensis, Clarias cavernicola, Clarias dhonti, Clarias dumerilii, Clarias ebriensis, Clarias engelseni, Clarias gabonensis, Clarias gariepinus, Clarias hilli, Clarias jaensis, Clarias laeviceps, Clarias lamottei, Clarias liocephalus, Clarias longior, Clarias maclareni, Clarias macromystax, Clarias ngamensis, Clarias nigromarmoratus, Clarias pachynema, Clarias platycephalus, Clarias salae, Clarias stappersii, Clarias submarginatus, Clarias theodorae, Clarias werneri, Clarotes laticeps, Clupeocharax schoutedeni, Clypeobarbus bellcrossi, Clypeobarbus bomokandi, Clypeobarbus congicus, Clypeobarbus hypsolepis, Clypeobarbus matthesi, Clypeobarbus pleuropholis, Clypeobarbus pseudognathodon, Clypeobarbus schoutedeni, Cobitis maroccana, Coelotilapia joka, Congocharax olbrechtsi, Congochromis dimidiatus, Congochromis pugnatus, Congochromis sabinae, Congochromis squamiceps, Congoglanis alula, Congolapia bilineata, Congothrissa gossei, Congresox talabonoides, Copadichromis atripinnis, Copadichromis azureus, Copadichromis borleyi, Copadichromis chizumuluensis, Copadichromis chrysonotus, Copadichromis cyaneus, Copadichromis cyanocephalus)",
 "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 ((-17.18 12.1194,-16.8618 11.8636,-16.8618 16.9131,-16.9262 16.7412,-17.0293 15.9092,-17.4711 15.2969,-17.9089 15.085,-18.0432 14.7429,-17.8486 14.3198,-17.2612 13.8841,-17.2879 12.4225,-17.18 12.1194))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007458-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.