cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18677393
title: The data for "A 0.002 cm⁻¹ accurate PES for ¹⁴N₂¹⁶O"

description: [2026-02-18]

Supplementary data files for "A 0.002 cm⁻¹ accurate PES for ¹⁴N₂¹⁶O", submitting to PCCP:



D2n PES related files: PES, refinement, rovibrational energy levels, line list at 296 K

(interim) D2nB PES related files: PES, refinement, rovibrational energy levels, line list at 296 K

reference datasets: HITRAN, MARVEL, RITZ, TYM (UCL 2023), and B1b (Ames 2023)

statistics: code (getrms.f90.xxx), list of comparison (D2n/D2nB/B1b/TYM.vs.RITZ/MARVEL/HITRAN/.xxx), J-resolved mean absolute error and rms (out.xxx)

D2n_PES_related_analysis.opju: ORIGIN project file including all figures and related data sheets and mean±1sigma statistics.  Use Origin Viewer to open and extract data. 


Data Format will be added later.
DOI: 10.15468/dl.cp58bb
title: Occurrence Download

description: A dataset containing 6632 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 Setaria sphacelata"
 ]
}

 The dataset includes 6632 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026839-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45yksz
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella bidoupensis"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026840-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbbwge
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella ardens"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026841-260208012135463/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.31361406.v1
title: Petrogenesis of Silurian intrusive rocks in the Zhenghe area, S. China: constraints on the geodynamics of the early Paleozoic Wuyi-Yunkai orogeny

description: The geodynamic mechanism of the early-middle Paleozoic Wuyi-Yunkai orogeny in South China remains controversial. The main debate focuses on whether oceanic slab subduction took place. Our recent investigations have identified subduction-related intrusive rocks in the Zhenghe area, Cathaysia. The Lintun intrusive suite is composed of diorites, monzodiorites, and quartz diorites. LA-ICP-MS zircon U-Pb dating shows that the diorites, monzodiorites, and quartz diorites were emplaced at 437 ± 4 Ma, 437 ± 4 Ma and 435 ± 6 Ma, respectively. The diorites are characterized by low SiO<sub>2</sub>, elevated MgO, high abundances of Ni and Cr, and high Mg<sup>#</sup> values, resembling sanukitic high-Mg andesites. They exhibit a moderate radiogenic initial <sup>87</sup>Sr/<sup>86</sup>Sr ratio of 0.705863 and ε<sub>Nd</sub>(t) value of −0.8, along with low Nb/Th ratios, which are indicative of fluid-component contributions. Combined with the positive zircon ε<sub>Hf</sub>(t) values (+5.7 to +9.0), the diorites were most likely originated from depleted mantle that was metasomatized by slab-derived fluids. In contrast, the geochemical characteristics of monzodiorites and quartz diorites are distinct from those of diorites. They are characterized by moderate silica and alkali, a metaluminous to weakly peraluminous nature. They are enriched in Rb, Th, U and K and depleted in Nb, Ta and Ti, indicating an affinity with subduction-related arc rocks. Additionally, they exhibit heterogeneous positive zircon ε<sub>Hf</sub>(t) values (+2.4 to +11.0) and positive ε<sub>Nd</sub>(t) values (+1.4 to +1.6), along with relatively high Mg<sup>#</sup> values. These features suggest that they were likely generated through partial melting of the juvenile crust with input of mantle components. Integrating these findings with previous research, we propose that the Lintun intrusive suite was formed in a continental arc setting during the subduction of the Proto-Tethys ocean towards the West Cathaysia Block. This further supports the view that the Wuyi-Yunkai orogeny in South China was related to oceanic slab subduction.
DOI: 10.6084/m9.figshare.31361406
title: Petrogenesis of Silurian intrusive rocks in the Zhenghe area, S. China: constraints on the geodynamics of the early Paleozoic Wuyi-Yunkai orogeny

description: The geodynamic mechanism of the early-middle Paleozoic Wuyi-Yunkai orogeny in South China remains controversial. The main debate focuses on whether oceanic slab subduction took place. Our recent investigations have identified subduction-related intrusive rocks in the Zhenghe area, Cathaysia. The Lintun intrusive suite is composed of diorites, monzodiorites, and quartz diorites. LA-ICP-MS zircon U-Pb dating shows that the diorites, monzodiorites, and quartz diorites were emplaced at 437 ± 4 Ma, 437 ± 4 Ma and 435 ± 6 Ma, respectively. The diorites are characterized by low SiO<sub>2</sub>, elevated MgO, high abundances of Ni and Cr, and high Mg<sup>#</sup> values, resembling sanukitic high-Mg andesites. They exhibit a moderate radiogenic initial <sup>87</sup>Sr/<sup>86</sup>Sr ratio of 0.705863 and ε<sub>Nd</sub>(t) value of −0.8, along with low Nb/Th ratios, which are indicative of fluid-component contributions. Combined with the positive zircon ε<sub>Hf</sub>(t) values (+5.7 to +9.0), the diorites were most likely originated from depleted mantle that was metasomatized by slab-derived fluids. In contrast, the geochemical characteristics of monzodiorites and quartz diorites are distinct from those of diorites. They are characterized by moderate silica and alkali, a metaluminous to weakly peraluminous nature. They are enriched in Rb, Th, U and K and depleted in Nb, Ta and Ti, indicating an affinity with subduction-related arc rocks. Additionally, they exhibit heterogeneous positive zircon ε<sub>Hf</sub>(t) values (+2.4 to +11.0) and positive ε<sub>Nd</sub>(t) values (+1.4 to +1.6), along with relatively high Mg<sup>#</sup> values. These features suggest that they were likely generated through partial melting of the juvenile crust with input of mantle components. Integrating these findings with previous research, we propose that the Lintun intrusive suite was formed in a continental arc setting during the subduction of the Proto-Tethys ocean towards the West Cathaysia Block. This further supports the view that the Wuyi-Yunkai orogeny in South China was related to oceanic slab subduction.
DOI: 10.15468/dl.pmfe4q
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-2.01949 42.28247,3.48395 42.28247,3.48395 43.8187,-2.01949 43.8187,-2.01949 42.28247))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aster pyrenaeus"
 ]
}

 The dataset includes 182 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026842-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18557262
title: Supporting material for SLR titled "Industrial B2B outcome-based business models from a systems perspective: An integrative systematic literature review"
DOI: 10.6084/m9.figshare.29163467
title: Research Data - Aeolian dust provenance across the Eurasian Asian steppe from grain-size dependent quartz δ¹⁸O in surface soils

description: This data includes orginal basic geographical information for 24 locations in the steppe regions of Central Asia and East Asia, in Ukraine, Kazakhstan, Mongolia, Inner Mongolia of China, and Xinjiang of China. It also includes the particle size distribution (&lt;2 μm, 2—10 μm, 10—20 μm, 20—50 μm), the quartz content and quartz δ¹⁸O data for each particle size range. The reference quartz content and quartz δ¹⁸O data for the surface soil of Japan are from Yan et al. (2014), Huo et al. (2018), and for the surface soil of Japan are from Mizota (1982), Mizota and Matsuhisa (1985), Naruse et al. (1986), Mizota et al. (1990), Mizota et al. (1991), Mizota et al. (1992), Inoue et al. (1993), Eguchi et al. (2012), and Nakao et al. (2015).
DOI: 10.6084/m9.figshare.29163467.v4
title: Research Data - Aeolian dust provenance across the Eurasian Asian steppe from grain-size dependent quartz δ¹⁸O in surface soils

description: This data includes orginal basic geographical information for 24 locations in the steppe regions of Central Asia and East Asia, in Ukraine, Kazakhstan, Mongolia, Inner Mongolia of China, and Xinjiang of China. It also includes the particle size distribution (&lt;2 μm, 2—10 μm, 10—20 μm, 20—50 μm), the quartz content and quartz δ¹⁸O data for each particle size range. The reference quartz content and quartz δ¹⁸O data for the surface soil of Japan are from Yan et al. (2014), Huo et al. (2018), and for the surface soil of Japan are from Mizota (1982), Mizota and Matsuhisa (1985), Naruse et al. (1986), Mizota et al. (1990), Mizota et al. (1991), Mizota et al. (1992), Inoue et al. (1993), Eguchi et al. (2012), and Nakao et al. (2015).
DOI: 10.6084/m9.figshare.29163467.v3
title: Research Data - Aeolian dust provenance across the Eurasian Asian steppe from grain-size dependent quartz δ¹⁸O in surface soils

description: This data includes orginal basic geographical information for 24 locations in the steppe regions of Central Asia and East Asia, in Ukraine, Kazakhstan, Mongolia, Inner Mongolia of China, and Xinjiang of China. It also includes the particle size distribution (&lt;2 μm, 2—10 μm, 10—20 μm, 20—50 μm), the quartz content and quartz δ¹⁸O data for each particle size range. The reference quartz content and quartz δ¹⁸O data for the surface soil of Japan are from Yan et al. (2014), Huo et al. (2018), and for the surface soil of Japan are from Mizota (1982), Mizota and Matsuhisa (1985), Naruse et al. (1986), Mizota et al. (1990), Mizota et al. (1991), Mizota et al. (1992), Inoue et al. (1993), Eguchi et al. (2012), and Nakao et al. (2015).
DOI: 10.18150/js30bi
title: Kinetic evaluation of a flow mode process of 4-aminophenol synthesis

description: The colletion contains a set of data related to the design and optimization of 4-aminophenol synthesis through the optimization of flow-mode coninous process of 4-nitrophenol hydrogenation. The process development involved 3D-printing of tubular reactors as well as systematic evaluation of catalysts morphology on their catalytic activity and performance. In this context, a particular focus has been put on the reactors capacity, reaction kinetics, and the mechanism of catalyst deactivation.The research was carried out within OPUS 25 project (UMO-2023/49/B/ST8/01029) granted by National Science Center (Poland). Aim of the project is to develop new generation of catalytical technology for the production of aromatic amines.The set of data contains:Pore size distribution (PSD) of matrices applied as catalysts base. 3DUV-Vis spectra recorded during catalytic reduction of 4-nitrophenol (batch mode).Reactors' breakthrough curves of the catalytic reduction of 4-nitrophenol (flow mode).XPS Re 4f spectra of the catalysts samples before and after catalytic process.Reactor's breakthrough curves in the function of varied reagents residence time (kinetics optimization).Total Ion Chromatogram and mass spectra of reactor's effluent collected as the stage of process validation.
DOI: 10.15468/dl.mxqzqe
title: Occurrence Download

description: A dataset containing 1809 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 Setaria surgens"
 ]
}

 The dataset includes 1809 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026843-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es7trr
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Hura crepitans"
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026845-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60597/vaem-js61
title: e-MUST - Évaluation en Médecine d'Urgence des Stratégies Thérapeutiques des infarctus du myocarde de moins de 24h pris en charge par les SAMU/SMUR d'Île-de-France
DOI: 10.15468/dl.5wug6q
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella bourreti"
 ]
}

 The dataset includes 183 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026846-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18678564
title: Extended data for: Improving Medication Safety in Chronic Kidney Disease Using Rule-Based and Artificial Intelligence–Based Clinical Decision Support Systems: A Systematic Review of Randomized Controlled Trials

description: This record contains extended data supporting the systematic review. Files included: (1) Appendix 1: Search strategy; (2) Appendix 2: Trial-level mapping table.
DOI: 10.15468/dl.vh4ygd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella botsfordi"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026847-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18647053
title: Groundsource: A Dataset of Flood Events from News

description: Groundsource is an open global dataset of 2.6 million historical flood events derived from news articles spanning more than 150 countries.
DOI: 10.5281/zenodo.18647054
title: Groundsource: A Dataset of Flood Events from News

description: Groundsource is an open global dataset of 2.6 million historical flood events derived from news articles spanning more than 150 countries.
DOI: 10.15468/dl.9m4mkz
title: Occurrence Download

description: A dataset containing 1623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bitis gabonica"
 ]
}

 The dataset includes 1623 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026848-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312175
title: Dataset of the manuscript "Presence and visibility of local journals in international scientific databases"

description: Dataset of the manuscript "Presence and visibility of local journals in international databases worldwide (WOS, Scopus, DOAJ, and OpenAlex)".

Abstract: Mainstream databases present significant language, geographical, disciplinary, and thematic biases, particularly against research addressing local needs. Evaluation policies framed around mainstream-based indicators tend to reproduce these biases and, consequently, underestimate local research. We address this issue empirically by merging four databases and conducting a large-scale analysis of local journals across mainstream (WOS and Scopus) and non-mainstream (OpenAlex and DOAJ) knowledge circuits. We aim to (1) determine the representation of local journals in the four databases, (2) assess the visibility of the fields and countries publishing in them, and (3) examine their non-English and open access features. We build a dataset of more than 75,000 OpenAlex journals, which are enriched with WOS, Scopus, and DOAJ variables and characterized as local or global according to a local research framework. Results show that most local journals are poorly represented in the mainstream, regardless of their field, language, or access type. Countries publishing in non-English and open access local journals do not follow clear patterns when examined from different locality perspectives. One conclusion is straightforward: local journals circulate primarily outside the mainstream. From a policy perspective, local research should not be discussed and evaluated solely from the content covered by WOS and Scopus.

Keywords: local journals, scientific databases, visibility, local research, scientometrics.
description: This work is part of the COMPARE project (Ref: PID2020-117007RA-I00) funded by the Spanish Ministry of Science (Ref: MCIN/AEI/10.13039/501100011033 FSE invierte en tu futuro). Victoria Di Césare is currently supported by a FPI grant from the Spanish Ministry of Science (Ref: PRE2021-097022). Nicolas Robinson-Garcia is currently supported by a Ramón y Cajal grant from the Spanish Ministry of Science (Ref: RYC2019-027886-I).
DOI: 10.5281/zenodo.18298992
title: Dataset of the manuscript "Presence and visibility of local journals in international scientific databases"

description: Dataset of the manuscript "Presence and visibility of local journals in international databases worldwide (WOS, Scopus, DOAJ, and OpenAlex)".

Abstract: Mainstream databases present significant language, geographical, disciplinary, and thematic biases, particularly against research addressing local needs. Evaluation policies framed around mainstream-based indicators tend to reproduce these biases and, consequently, underestimate local research. We address this issue empirically by merging four databases and conducting a large-scale analysis of local journals across mainstream (WOS and Scopus) and non-mainstream (OpenAlex and DOAJ) knowledge circuits. We aim to (1) determine the representation of local journals in the four databases, (2) assess the visibility of the fields and countries publishing in them, and (3) examine their non-English and open access features. We build a dataset of more than 75,000 OpenAlex journals, which are enriched with WOS, Scopus, and DOAJ variables and characterized as local or global according to a local research framework. Results show that most local journals are poorly represented in the mainstream, regardless of their field, language, or access type. Countries publishing in non-English and open access local journals do not follow clear patterns when examined from different locality perspectives. One conclusion is straightforward: local journals circulate primarily outside the mainstream. From a policy perspective, local research should not be discussed and evaluated solely from the content covered by WOS and Scopus.

Keywords: local journals, scientific databases, visibility, local research, scientometrics.
description: This work is part of the COMPARE project (Ref: PID2020-117007RA-I00) funded by the Spanish Ministry of Science (Ref: MCIN/AEI/10.13039/501100011033 FSE invierte en tu futuro). Victoria Di Césare is currently supported by a FPI grant from the Spanish Ministry of Science (Ref: PRE2021-097022). Nicolas Robinson-Garcia is currently supported by a Ramón y Cajal grant from the Spanish Ministry of Science (Ref: RYC2019-027886-I).
DOI: 10.5281/zenodo.10927238
title: Paper dataset: Using High-Resolution Satellite Imagery and Deep Learning to Map Artisanal Mining Spatial Extent in the Democratic Republic of the Congo

description: This dataset accompanies the following publication: Using High-Resolution Satellite Imagery and Deep Learning to Map Artisanal Mining Spatial Extent in the Democratic Republic of the Congo. Remote Sensing, 17(24), 4057. https://doi.org/10.3390/rs17244057

 

Overview

This dataset contains paired satellite image tiles and binary segmentation masks for Artisanal and Small-scale Mining (ASM) sites in the Democratic Republic of the Congo (DRC). It is intended to support training and evaluation of deep learning models for ASM mapping using optical and SAR imagery. Below you can see the structure of the dataset.

dataset/├── ps/                             # PlanetScope tiles (optical, 4-band)│   ├── images/                # RGB + NIR GeoTIFF tiles│   └── masks/                 # Binary ASM masks (0 = background, 1 = ASM)└── s1/                            # Sentinel-1 tiles (SAR, 2-band)    ├── images/                # VV and VH polarization GeoTIFF tiles    └── masks/                 # Binary ASM masks (0 = background, 1 = ASM)

 

Data Specifications




 
PlanetScope
Sentinel-1




Source
Planet-NICFI
ESA Copernicus


Bands
Blue, Green, Red, NIR
VV, VH


GSD
4.77 m
10 m


Tile size
256 × 256 px
128 × 128 px


Number of tiles
782
782


Format
GeoTIFF
GeoTIFF




 

The PlanetScope and Sentinel-1 tiles are spatially overlapping — corresponding tiles in ps/ and s1/ cover the same geographic area in the Eastern Democratic Republic of the Congo.

Masks are binary rasters at the same resolution and spatial extent as the corresponding image tiles:



0 = Non-ASM (background)

1 = Artisanal and Small-scale Mining (ASM)


Ground truth labels were derived from field survey data collected by [e.g. IPIS] and processed as described in the accompanying paper.

 

License

This dataset contains data from two sources with different licenses:

PlanetScope tiles (ps/ directory): derived from Planet-NICFI basemaps. Imagery © Planet Labs Inc. All use subject to the Planet NICFI Participant License Agreement. Use of these tiles is restricted to non-commercial purposes in support of the NICFI program's goals (tropical forest monitoring, climate change, biodiversity conservation, and sustainable development).

Sentinel-1 tiles and all masks (s1/ directory and all masks/ subdirectories): Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

 

Citation

If you use this dataset, please cite:

Pasanisi et al. (2025). Using High-Resolution Satellite Imagery and Deep Learning to Map Artisanal Mining Spatial Extent in the Democratic Republic of the Congo. Remote Sensing, 17(24), 4057. https://doi.org/10.3390/rs17244057