cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.927027
title: Radiogenic Sr, Nd and Pb isotope data and clay mineral abundances of the &lt; 2 µm size fraction of ODP Hole 121-758A

description: The clay size fraction of the sediments from ODP Site 758 located in the southern Bay of Bengal on top of the Ninetyeast Ridge were studied to better understand South Asian Monsoon induced silicate weathering over the last 27 million years. The radiogenic Sr, Nd and Pb isotope data were measured by multi-collector ICP-MS and the the clay mineral abundances were calculated from X-Ray diffraction measurements. The age model used here incorporates age constraints from both ODP Site 758 and new data from a new multiple hole drill site nearby (International Ocean Discovery Program Site U1443).
description: Clay mineral abundances in weighted peak area percentage.The repeatability of the semi-quantitative clay mineral measurements was approximately 2%.
DOI: 10.1594/pangaea.51924
title: Nannofossil assemblage in surface sediments
DOI: 10.15468/dl.99e92v
title: Occurrence Download

description: A dataset containing 1734 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus mongholicus"
 ]
}

 The dataset includes 1734 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042808-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.982845
title: ARK 2012: AWI airborne Accumulation radar data in Northern and Souther central Greenland over NEEM, NorthGRIP, and EGRIP deep ice core drill sites (Structure NGT 2012 project)

description: This dataset contains airborne radar data acquired using the AWI Accumulation radar system (ACCU; Janett, M.& Steinhage, D., 2012) during the Arctic season of 2012. The profiles extend across northern central Greenland over NEEM, NorthGRIP, and EGRIP deep ice core drill sites as well as southern Greenland. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
DOI: 10.1594/pangaea.984841
title: ANT 2016/17: AWI airborne Accumulation Radar data over central Dronning Maund Land and around the Dome Fuji ice core site (OIR Dome F and GEA-Vb-FMA projects), Version 2

description: This dataset contains airborne radar data acquired using the AWI Accumulation Radar (ACCU) system during the Antarctic season of 2016/17 to investiage the geodynamic evolution of East Antarctica, and for the Beyond EPICA - Oldest Ice reconnaissance around Dome Fuji. The profiles extend across the central Dronning Maud Land across the Jutulstraumen drainage basin, around the EDML ice core site and around Dome Fuji. The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: New Version 2, 2025-09-10 (V1: doi:10.1594/PANGAEA.983479)--Projects: GEA-Vb-FMA (Geodynamic Evolution of East Antarctica, the Forster Magnetic Anomaly),OIR Dome F (Oldest Ice Reconnaissance Dome Fuji, Beyond EPICA)Owner / PI of GEA-Vb-FMA: Graeme Eagles (graeme.eagles@awi.de)Owner / PI of OIR Dome F: Olaf Eisen (olaf.eisen@awi.de)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de)--The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds
DOI: 10.1594/pangaea.986752
title: Microplastic abundance in the Eastern Tropical Pacific 2008-2018

description: Results presented here are part of the paper by Bermudez et al. (2025) obtained by the re-analysis of zooplankton samples collected and stored by the Instituto Público de Investigación de Acuicultura y Pesca (IPIAP in Spanish) between the years 2008 and 2018. The four sampling stations were Station= Esmeraldas (1.161667,-80.433333) Puerto Lopez (-1.581667,-80.99) Salinas (-2.116667,-81.133333) Santa Clara (-3.356667,-80.731667), all of them located ~20 km offshore mainland Ecuador. Sample collection and analysis were conducted following the Standard Operating Procedure for Zooplankton Sample Collection (LG 402) (Environmental Protection Agency, 2013) and for Zooplankton Analysis (LG 403) (Environmental Protection Agency, 2016) from the United States Environmental Protection Agency. Microplastics were counted by microscopy in preserved (4% neutralized formaldehyde) zooplankton samples collected with a conical nylon (monofilament) plankton net with a PVC collection cup (0.3 m Ø, 200 µm mesh pore size) towed vertically through the water column from a depth of 50 m, with a volume of ~ 3530 L being sampled every time. The same, or the same type of net, was used for each sampling to have consistency through the sampling. A total of 36 samples were collected in Esmeraldas, 56 in Puerto Lopez, 42 in Salinas and 13 in Santa Clara, giving a total of 147 samples. The microplastic particles in the 147 analyzed samples were grouped into three classes as described by Eriksen et al., (2013): fragments (pieces derived from bottles, cups, food containers, etc.), fibers (derived from plastic rope and fishing net detritus) and film (fragments of plastic bags, zip bags, etc.); a fourth classification category, foam (sponge, foam, etc.), was not observed in our collected sample materials. MP were quantified by microscopy counting using an Olympus SZX10 microscope with a zoom range of 0.63x to 6.3x, and equipped with a Olympus DP cooled digital camera and image analysis software. Their abundance was expressed as number of particles per liter (MP L−1). A conservative approach was used where, if there was doubt if a particle was actual MP, it was not included in the analysis. MP were also measured using calibrated graticules and video software during counting. The samples were fractionated to fit a 20 ml Bogorov counting chamber. Homogeneity was assured using a Folsom wheel to obtain fractions of equal size. Additionally, the analysis time of each sample was ~1 hour, which significantly reduces the potential of additional laboratory contamination. Furthermore, all samples were analyzed at once using a random methodology approach and thus any chance of a procedural artifact would be minimized.This study has been partially funded by the Government of Ecuador through its support to the IPIAP and by the Government of Sweden through support to the IAEA. The IAEA is as well grateful for the support provided to its Environment Laboratories by the Government of the Principality of Monaco.
DOI: 10.1594/pangaea.986962
title: Radiometric activities of sediment cores from the northern Barents Sea

description: Sediment cores (40 cm long, 10 cm diameter) were retrieved at nine stations (NPAL04 to NPAL19) with a four-tube multi-corer. Additionally, one short sediment core (6 cm length x 5 cm diameter) was subsampled from a giant box corer deployment at station P1. All sediment cores were immediately sliced into 1 cm layers, and subsamples were directly frozen on board ( 20 °C). Radiometric activities (210Pb, 226Ra, and 137Cs) were analysed by direct gamma assay in the Environmental Radioactivity Laboratory at the University of Liverpool. Supported 210Pb activity (210Pbsup) was assumed equal to the measured 226Ra activity in the sediments. Excess 210Pb activity (210Pbxs) was calculated by subtracting 210Pbsup from the measured total 210Pb activity (210Pbtotal).
DOI: 10.1594/pangaea.986963
title: Sediment elemental and stable isotopic composition of sediment cores from the northern Barents Sea

description: Sediment cores (40 cm long, 10 cm diameter) were retrieved at nine stations (NPAL04 to NPAL19) with a four-tube multi-corer. Additionally, one short sediment core (6 cm length x 5 cm diameter) was subsampled from a giant box corer deployment at station P1. All sediment cores were immediately sliced into 1 cm layers, and subsamples were directly frozen on board ( 20 °C). Sediment elemental (C, N) and stable isotopic composition (δ13C, δ15N) of these radiometrically dated cores were investigated, along with grain size, at all ten sampled stations. Carbon and nitrogen analysis was undertaken with an Elemental Analyser Isotope Ratio Mass Spectrometry (EA-IRMS; Iso-Analytical Ltd., UK), whereas grain size distribution of non-acidified samples was assessed with a Beckman Coulter LS 13 320 Particle Size Analyser. The isotope ratios analytical error was determined by calculating the standard deviation of repeated measurements of reference standards (≤0.07 ‰ for δ13C and ≤0.15 ‰ for δ15N).
DOI: 10.1594/pangaea.987347
title: ANT 2015/16: AWI airborne Radio-Echo Sounding data western DML over the Maud Belt and Ekström Ice Shelf (GEA-V-FMA project)

description: This dataset contains airborne radar data acquired using the AWI EMR system (Nixdorf et al., 1999) during the Arctic season of 2015. The profiles extend western DML over the Maud Belt and Ekström Ice Shelf to investigate the geodynamic evolution of East Antarctica, the Forster magnetic anomaly (GEA-V-FMA). The data are available as netCDF files (including waveforms and metadata), KML files of the profile line locations, and quicklook images of the radargrams.
description: Project PI: Graeme Eagles (AWI)Contact persons for AWI Radio-echo sounding data: Daniel Steinhage (daniel.steinhage@awi.de), Veit Helm (veit.helm@awi.de), Olaf Eisen (olaf.eisen@awi.de)--The netCDF files contain the following variables:altitude: Platform altitude (WGS84) in metersbed_elevation: Bed elevation for each trace (without applying a firn correction and permitivity of ice: 3.15) in metersbed_pick: picked Bed location for each trace, expressed as twt in seconds from time zerodata: Radar data (Values in dBm after DC conversion)data_agc: Scaled radar data using automatic gain control (AGC)distance: Along-track distance in metersice_thickness: Ice thickness for each trace (without applying a firn correction and permitivity of ice: 3.15) in meterslat: Latitude in decimal degrees (WGS84)lon: Longitude in decimal degrees (WGS84)range: Range between sensor and surface in metersspacing: Along-track trace to trace spacing in meterssurface: Surface elevation derived from radar (WGS84) in meterssurface_pick: Picked surface reflection in two-way travel time in secondstime: Seconds of daytwt: Two-way travel time (twt) in seconds--The KML files are in EPSG:4326, and the quicklook images show the AGC product of the radargram.
DOI: 10.17026/ar/z7gqgo
title: PAN-00106925 - coin/coin-related, Keltisch (AVAVCIA), aes

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106925&lt;/p&gt;
description: Modified: 2025-06-02T08:21:04+02:00
DOI: 10.15468/dl.vj93s7
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia gaumeri"
 ]
}

 The dataset includes 860 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042810-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/sjyfm
title: The differentiation of self and marital attitudes among Chinese females in emerging adulthood: the mediating role of relationship self-efficacy
DOI: 10.17605/osf.io/9aj5s
title: The differentiation of self and marital attitudes among Chinese females in emerging adulthood: the mediating role of relationship self-efficacy

description: With the declined marriage rate and postponed average age at first marriage in China, it seems essential to understand young adults’ marital attitudes. Most existing literature has focused on the association between differentiation of self and intimate experience in marital relations, while few studies attempted to deeply explore the links between differentiation of self and marital attitudes of unmarried groups in emerging adulthood. In an era when young adults place more value on romantic love in marriage, their self-efficacy in handling romantic relationships may be another important factor to understand marital attitudes. As unmarried marriageable females are more vulnerable to the social pressures of late marriage, this study mainly examined emerging adult females’ marital attitudes. It was hypothesized that relationship self-efficacy would mediate the association between self-differentiation level and marital attitudes. Data were collected through WeChat and Credamo platform and 168 never-married participants aged 19-29 who had been in at least one romantic relationship were invited to complete the Chinese version of the differentiation of self-inventory scale (C-DSI), Relationship Self-Efficacy Scale (RSES), and the Marital Attitude Scale (MAS). The mediation test was performed by the PROCESS procedure for SPSS version 4.0. The results showed that relationship self-efficacy could partially mediate the relationship between young adult females’ self-differentiation level and their marital attitudes. This study indicated that marital attitudes to some extent could be influenced by young females’ experiences in intimate relationships and their capabilities and confidence in forming and maintaining romantic relationships.

The data was collected from the Wechat platform where females were invited to pariticipate in this survey if they meet the inclusion criteria. The data was also collected in Credamo platform. Different from the way collecting data from wechat platform, the author sent 520 short questionnaires to users on the Credamo platform to build a sample database. Of these, 178 users who met the inclusion criteria for this study were placed in the sample database . Subsequently, the author sent out formal questionnaires to 178 users in the sample database, and finally received 100 valid questionnaires.
DOI: 10.15468/dl.y3ayhh
title: Occurrence Download

description: A dataset containing 4770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((19.737545 -32.910802, 19.730707 -32.861499, 19.667293 -32.861499, 19.674109 -32.910802, 19.737545 -32.910802))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4770 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042811-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xn52e
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orbinia riseri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 451 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042812-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vht4ss
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia hayesii"
 ]
}

 The dataset includes 114 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042813-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceg4dw
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rotala tenella",
 "Continent is Africa"
 ]
}

 The dataset includes 230 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042814-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhjk8u
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia interior"
 ]
}

 The dataset includes 70 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042816-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/fnqxyi
title: PAN-00110871 - medieval badge, profane: celestial body

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00110871&lt;/p&gt;
description: Modified: 2025-06-14T09:24:11+02:00
DOI: 10.5281/zenodo.17873485
title: Northeast ChinaShelterbelts Map10_(2019-2020)

description: Description: This repository contains the 10-meter resolution spatial distribution maps of farmland shelterbelts in Northeast China from 2019 to 2023. The dataset was generated using the Shelterbelt Phenological Classification (SPC) framework, which integrates multi-dimensional phenological features derived from Sentinel-2 time-series imagery.

File Structure & Abbreviations: The dataset includes raster maps, vector boundaries, sample data, and reference code:

Shelterbelt_Maps_2019-2023: Contains the classification results (GeoTIFF). The filenames use the following region abbreviations:

HLJ: Heilongjiang Province

JL: Jilin Province

LN: Liaoning Province

DSM: Dongsimeng (The Eastern Four Leagues of Inner Mongolia)

Code: Google Earth Engine (GEE) scripts used for classification (provided for reference purposes).

Study_Area: Vector file (.shp) defining the boundary of the Northeast China study region.

Sample_Points: Ground truth and reference sample data used for training and validation. Provided in both ESRI Shapefile (.shp) and CSV (.csv) formats.

class.txt: Description of the 5 land cover categories used in the sample dataset.
DOI: 10.5281/zenodo.17873486
title: Northeast ChinaShelterbelts Map10_(2019-2020)

description: Description: This repository contains the 10-meter resolution spatial distribution maps of farmland shelterbelts in Northeast China from 2019 to 2023. The dataset was generated using the Shelterbelt Phenological Classification (SPC) framework, which integrates multi-dimensional phenological features derived from Sentinel-2 time-series imagery.

File Structure & Abbreviations: The dataset includes raster maps, vector boundaries, sample data, and reference code:

Shelterbelt_Maps_2019-2023: Contains the classification results (GeoTIFF). The filenames use the following region abbreviations:

HLJ: Heilongjiang Province

JL: Jilin Province

LN: Liaoning Province

DSM: Dongsimeng (The Eastern Four Leagues of Inner Mongolia)

Code: Google Earth Engine (GEE) scripts used for classification (provided for reference purposes).

Study_Area: Vector file (.shp) defining the boundary of the Northeast China study region.

Sample_Points: Ground truth and reference sample data used for training and validation. Provided in both ESRI Shapefile (.shp) and CSV (.csv) formats.

class.txt: Description of the 5 land cover categories used in the sample dataset.
DOI: 10.15468/dl.38pg6t
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia macilenta"
 ]
}

 The dataset includes 248 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se8x3q
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((19.630124 -32.908779, 19.623252 -32.858950, 19.559162 -32.858950, 19.566012 -32.908779, 19.630124 -32.908779))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1009 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042818-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gd2bcq
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orbinia swani",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 154 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042819-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17873605
title: Seascape connectivity scale data
DOI: 10.5281/zenodo.17873604
title: Seascape connectivity scale data
DOI: 10.15468/dl.x8ywc4
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rotala welwitschii",
 "Continent is Africa"
 ]
}

 The dataset includes 59 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042820-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxce97
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia polyphylla"
 ]
}

 The dataset includes 474 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042823-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.