cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.948281
title: X-ray fluorescence core scanning data of sediment core GeoB24003-1

description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
DOI: 10.1594/pangaea.948282
title: X-ray fluorescence core scanning data of sediment core GeoB24004-1

description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
DOI: 10.1594/pangaea.948283
title: X-ray fluorescence core scanning data of sediment core GeoB24005-1

description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
DOI: 10.1594/pangaea.948284
title: X-ray fluorescence core scanning data of sediment core GeoB24006-1

description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
DOI: 10.1594/pangaea.948285
title: X-ray fluorescence core scanning data of sediment core GeoB24007-1

description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
DOI: 10.15468/dl.vjujqz
title: Occurrence Download

description: A dataset containing 1443019846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1900-2020"
 ]
}

 The dataset includes 1443019846 records from 23770 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119693-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d37v47
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eragrostis autumnalis"
 ]
}

 The dataset includes 61 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013559-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31329721
title: <b>Soil pH amelioration fosters persistent carbon sinks through mineral stabilization and aggregate protection</b>

description: The stability of soil organic carbon (SOC) is fundamental for the integrity of agricultural carbon credits but remains challenging to verify and predict. A persistent methodological challenge lies in isolating the specific effect of soil pH amelioration from confounding factors like organic matter inputs. Here, by applying bivariate linear mixed-effects modelling to a global synthesis of 180 field trials, we quantitatively disentangled the effects of pH amelioration on SOC components across a stability continuum from bulk soils to aggregate fractions. pH amelioration enhances bulk SOC stocks by 18 – 20%, with mineral-associated organic carbon and microbial necromass carbon significantly increasing by 11 – 15% and 12 – 19%, respectively. Simultaneously, pH amelioration restructures soil architecture toward enhanced aggregate stability, preferentially enriching carbon within microaggregates (up 44% in alkaline soils). Structural equation modelling confirms that this process is hierarchically driven by pH-induced shifts in microbial biomass and aggregate stability. Our findings suggest that pH amelioration is a fundamental process engineering persistent carbon sinks by directing carbon flow into mineral-stabilized and physically protected pools. This work repositions precision pH management as an essential ecological engineering strategy, and provides a mechanistic foundation for transitioning carbon credit protocols from stock-based accounting to stability-centric verification.
DOI: 10.6084/m9.figshare.31329721.v1
title: <b>Soil pH amelioration fosters persistent carbon sinks through mineral stabilization and aggregate protection</b>

description: The stability of soil organic carbon (SOC) is fundamental for the integrity of agricultural carbon credits but remains challenging to verify and predict. A persistent methodological challenge lies in isolating the specific effect of soil pH amelioration from confounding factors like organic matter inputs. Here, by applying bivariate linear mixed-effects modelling to a global synthesis of 180 field trials, we quantitatively disentangled the effects of pH amelioration on SOC components across a stability continuum from bulk soils to aggregate fractions. pH amelioration enhances bulk SOC stocks by 18 – 20%, with mineral-associated organic carbon and microbial necromass carbon significantly increasing by 11 – 15% and 12 – 19%, respectively. Simultaneously, pH amelioration restructures soil architecture toward enhanced aggregate stability, preferentially enriching carbon within microaggregates (up 44% in alkaline soils). Structural equation modelling confirms that this process is hierarchically driven by pH-induced shifts in microbial biomass and aggregate stability. Our findings suggest that pH amelioration is a fundamental process engineering persistent carbon sinks by directing carbon flow into mineral-stabilized and physically protected pools. This work repositions precision pH management as an essential ecological engineering strategy, and provides a mechanistic foundation for transitioning carbon credit protocols from stock-based accounting to stability-centric verification.
DOI: 10.15468/dl.xgs5y4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enterographa crassa",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013560-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66wphc
title: Occurrence Download

description: A dataset containing 2971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Begonia cucullata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2971 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013561-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa4fhb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternarchorhynchus starksi",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013562-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25545/glo18c/2q98sf
title: masks.zip
DOI: 10.25545/glo18c/gfj9me
title: HEA10_30_labels-Aug - Copy.tab

description: The CSV contains particle_IDs, their respective at weights, atomic fractions of Al, Co, Cr, Ni, Fe, and H, and H_norm values, along with the spectrum IDs from the EDS Aztec files.
DOI: 10.25545/glo18c/tegjos
title: augmented_images.zip

description: Raw Particle BSE-SEM images, including geometric augmentations.
DOI: 10.25545/glo18c/srnu92
title: READ ME.txt
DOI: 10.25545/glo18c
title: Particle-Resolved Scanning Electron Microscopy and Energy-Dispersive X-Ray Spectroscopy Dataset of Mechanically Alloyed AlCoCrFeNi High-Entropy Alloy Powders

description: This dataset comprises raw and manually curated scanning electron microscopy (SEM) images and corresponding energy-dispersive X-ray spectroscopy (EDS) composition data of mechanically alloyed AlCoCrFeNi high-entropy alloy (HEA) powders. The powders were produced via high-energy ball milling and imaged using backscattered electron (BSE) mode to capture atomic number contrast arising from compositional heterogeneity within and across particles.

SEM images were acquired from multiple regions of interest (ROIs) within mounted powder samples to ensure spatially diverse sampling while maintaining a consistent processing history. Elemental compositions were extracted using area-based EDS analysis for selected particle or sub-particle regions using the AZtec software. Carbon and oxygen contributions were excluded to focus on the metallic constituents of the alloy system.

The dataset includes unprocessed SEM images, manually segmented particle regions, and associated normalized elemental composition vectors. No image enhancement, denoising, or algorithmic labeling was applied at the data acquisition stage, ensuring that the dataset represents the raw experimental observations.

This dataset was developed to support data-driven analysis of alloying quality and compositional uniformity in mechanically alloyed HEA powders and serves as the foundational input for morphology-guided statistical analysis and machine learning workflows. It may be used for particle-level classification, regression, clustering, or benchmarking of image-based characterization approaches in powder metallurgy and high-entropy alloy research.
DOI: 10.6084/m9.figshare.30443135
title: Anthropogenic soil acidification severely imperils microbial diversity and functionality: A global synthesis

description: Soil acidification, a pervasive yet often underestimated issue in the Anthropocene, poses a critical threat to ecosystem health. Although microorganisms are the cornerstone of soil health, the impact of anthropogenic soil acidification on microbial communities remains unresolved. Here, we leverage 455 experimental studies to disentangle how soil acidification affects microbial traits in different scenarios (anthropogenic acidification versus natural pH gradients), based on ‘Mill's causal inference’. Anthropogenic soil acidification caused by nitrogen and acid addition significantly decreases microbial diversity, biomass, and functionality; in stark contrast, natural pH gradients exert only minimal effects on these microbial traits. Notably, nitrogen-induced acidification significantly reduces microbial richness, Shannon index, biomass, and functionality by 5.1%, 3.1%, 4.1%, and 5.1%, respectively. Meanwhile, acid addition decreases microbial biomass and functionality by 9.4% and 15%, respectively. Disturbingly, croplands experience more severe acidification (by 10.0%) compared to natural ecosystems (by 6.5%), leading to markedly steeper declines in microbial traits. Reductions in microbial biomass, rather than diversity loss, primarily drive the decline of soil functionality. These findings underscore the imperative to mitigate anthropogenic soil acidification to sustain soil health, particularly in intensively managed croplands.
DOI: 10.6084/m9.figshare.30443135.v3
title: Anthropogenic soil acidification severely imperils microbial diversity and functionality: A global synthesis

description: Soil acidification, a pervasive yet often underestimated issue in the Anthropocene, poses a critical threat to ecosystem health. Although microorganisms are the cornerstone of soil health, the impact of anthropogenic soil acidification on microbial communities remains unresolved. Here, we leverage 455 experimental studies to disentangle how soil acidification affects microbial traits in different scenarios (anthropogenic acidification versus natural pH gradients), based on ‘Mill's causal inference’. Anthropogenic soil acidification caused by nitrogen and acid addition significantly decreases microbial diversity, biomass, and functionality; in stark contrast, natural pH gradients exert only minimal effects on these microbial traits. Notably, nitrogen-induced acidification significantly reduces microbial richness, Shannon index, biomass, and functionality by 5.1%, 3.1%, 4.1%, and 5.1%, respectively. Meanwhile, acid addition decreases microbial biomass and functionality by 9.4% and 15%, respectively. Disturbingly, croplands experience more severe acidification (by 10.0%) compared to natural ecosystems (by 6.5%), leading to markedly steeper declines in microbial traits. Reductions in microbial biomass, rather than diversity loss, primarily drive the decline of soil functionality. These findings underscore the imperative to mitigate anthropogenic soil acidification to sustain soil health, particularly in intensively managed croplands.
DOI: 10.6084/m9.figshare.30443135.v4
title: Anthropogenic soil acidification severely imperils microbial diversity and functionality: A global synthesis

description: Soil acidification, a pervasive yet often underestimated issue in the Anthropocene, poses a critical threat to ecosystem health. Although microorganisms are the cornerstone of soil health, the impact of anthropogenic soil acidification on microbial communities remains unresolved. Here, we leverage 455 experimental studies to disentangle how soil acidification affects microbial traits in different scenarios (anthropogenic acidification versus natural pH gradients), based on ‘Mill's causal inference’. Anthropogenic soil acidification caused by nitrogen and acid addition significantly decreases microbial diversity, biomass, and functionality; in stark contrast, natural pH gradients exert only minimal effects on these microbial traits. Notably, nitrogen-induced acidification significantly reduces microbial richness, Shannon index, biomass, and functionality by 5.1%, 3.1%, 4.1%, and 5.1%, respectively. Meanwhile, acid addition decreases microbial biomass and functionality by 9.4% and 15%, respectively. Disturbingly, croplands experience more severe acidification (by 10.0%) compared to natural ecosystems (by 6.5%), leading to markedly steeper declines in microbial traits. Reductions in microbial biomass, rather than diversity loss, primarily drive the decline of soil functionality. These findings underscore the imperative to mitigate anthropogenic soil acidification to sustain soil health, particularly in intensively managed croplands.
DOI: 10.15468/dl.e4xpcx
title: Occurrence Download

description: A dataset containing 12536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassocephalum crepidioides",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 12536 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013563-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aujru6
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia japonica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 635 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013564-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73vbzz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dirina massiliensis",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013565-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8bsmm
title: Occurrence Download

description: A dataset containing 80230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrotoma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 80230 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013497-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5r9xr
title: Occurrence Download

description: A dataset containing 819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eragrostis bahiensis"
 ]
}

 The dataset includes 819 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013566-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9p2kk
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternarchorhynchus stewarti",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013567-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jfs1t
title: CCDC 2336936: Experimental Crystal Structure Determination

description: Related Article: Daria Nowicka, Karol Garbaczewski, Giuseppe Consiglio, Giuseppe Forte, Maciej Kubicki, Teresa Łuczak, Violetta Patroniak, Adam Gorczyński|2026|New J.Chem.|||doi:10.1039/d5nj04478b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jfs2v
title: CCDC 2336937: Experimental Crystal Structure Determination

description: Related Article: Daria Nowicka, Karol Garbaczewski, Giuseppe Consiglio, Giuseppe Forte, Maciej Kubicki, Teresa Łuczak, Violetta Patroniak, Adam Gorczyński|2026|New J.Chem.|||doi:10.1039/d5nj04478b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jfs3w
title: CCDC 2336938: Experimental Crystal Structure Determination

description: Related Article: Daria Nowicka, Karol Garbaczewski, Giuseppe Consiglio, Giuseppe Forte, Maciej Kubicki, Teresa Łuczak, Violetta Patroniak, Adam Gorczyński|2026|New J.Chem.|||doi:10.1039/d5nj04478b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jfs4x
title: CCDC 2336939: Experimental Crystal Structure Determination

description: Related Article: Daria Nowicka, Karol Garbaczewski, Giuseppe Consiglio, Giuseppe Forte, Maciej Kubicki, Teresa Łuczak, Violetta Patroniak, Adam Gorczyński|2026|New J.Chem.|||doi:10.1039/d5nj04478b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.