cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7z9eqa
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salmo adirondacus, Salmo pacupeba, Salmo tapdisma, Coregonus omul, Salmo lucius, Thymallus microstoma, Salmo arcticus, Salmo punctatus, Thymallus nikolskyi, Salmo leptosoma, Salmo denticulosus, Salmo truttasalar, Salmo japonensis, Oncorhynchus haberi, Salmo pennanti, Salmo microps, Salmo piraputanga, Salmo melanurus, Salmo erythrorynchos, Salmo tumbel, Salmo undecimradiatus, Salmo laevigatus, Salmo evermanni, Coregonus nasutus, Salmo gillaroo, Salmo roosevelti, Salmo sachicanga, Salmo erythrophthalmus, Coregonus fluviatilis, Rhabdofario lacustris, Salmo curima, Salmo septemradiatus, Salmo vario, Salmo callaris, Salmo bathoecetor, Salmo tamuco, Salmo rosei, Coregonus novangliae, Salmo bodschac, Salmo americanus, Salmo reidur, Salmo erythraeus, Thymallus vexillifer, Coregonus richardsonii, Salmo multipunctata, Salmo roschal, Salmo ochiutus, Coregonus chadavy, Salmo eremogenes, Salmo campbelli, Salmo ursinus, Salmo kayko, Salmo arcturus, Salmo matrincham, Salmo boops, Salmo octoradiatus, Salmo nigrescens, Salmo pacu, Salmo notatus, Salmo germanorum, Salmo naresii, Salmo salaroides, Salmo pequira, Coregonus lepechini, Salmo nummifer, Coregonus stanleyi, Salmo kundsha, Salmo rossii, Salmo wimba, Salmo digitalis, Coregonus palea, Salmo muchsan, Salmo gronovii, Salmo nitidus, Prosopium hearnei, Oncorhynchus hybridus, Coregonus preblei, Thymallus sellatus, Salmo melampterus, Salmo hoodii, Salmo alipes, Salmo lodde, Salmo icimus, Salmo erythrinus, Salmo inghaghitsh, Salmo cyprinoides, Salmo grandoculus, Salmo lossos, Salmo samlet, Salmo muikisi, Coregonus nordmanni, Salmo villosus, Salmo parr, Salmo ovatus, Coregonus lucius, Salmo microcephalus, Salmo rivalis, Salmo arabatsch, Salmo brasiliensis, Thymallus lewisi)",
 "HasCoordinate is true",
 "LastInterpreted is greater than or equal to 2023-01-01",
 "LastInterpreted is less than or equal to 2026-01-01"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003867-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1268243.10fu
title: SH1268243.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268246.10fu
title: SH1268246.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268250.10fu
title: SH1268250.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268256.10fu
title: SH1268256.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268257.10fu
title: SH1268257.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268258.10fu
title: SH1268258.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268259.10fu
title: SH1268259.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1268260.10fu
title: SH1268260.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.mw4tzp
title: Occurrence Download

description: A dataset containing 13637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies concolor, Abies homolepis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 13637 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003866-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18222455
title: चित्रा मुद्गल के 'आवां' उपन्यास में व्यक्त नारी जीवन संघर्ष         *अमित पटेल

description: समकालीन स्त्री कथा लेखन परम्परा में चित्रा मुगल का नाम प्रमुख रूप से लिया जाता है। चित्रा मुद्गल जी उस धारा का प्रतिनिधित्व करती हैं जो समाज में महिला की दोयम स्थिति को समाप्त करने के साथ साथ महिलाओं को उनके उत्तरदायित्यों के प्रति सजग भी कराती हैं। मुद्गल जी के कथा साहित्य का प्रमुख स्वर 'नारी संघर्ष है तथा इसके मूल में नारी मुक्ति है। उनका यह नारी संघर्ष स्त्री को सामाजिक परिवेश में दुय्यम स्थान से मुक्त कराकर समाज में पुरुषों के बराबर हर क्षेत्र में स्थान दिलाने के लिए प्रयत्नशील है। परन्तु चित्रा मुद्गल जी उनके संघर्ष में नारी के अधिकारों के साथ-साथ उनके कर्तव्यों की भी चर्चा की हैं। मुद्गल जी एक स्वस्थ नारीवाद से प्रेरित समन्वयवादी लेखिका हैं। इनके कथा साहित्य में एक और नारी अपने अस्तित्व और स्वाभिमान की रक्षा के लिए पुरुष प्रधान समाज से संघर्ष कर रही है वहीं दूसरी ओर फैले अन्याय, अत्याचार, शोषण अमानवियता आदि का विरोध करती दिखाई देती है।
DOI: 10.5281/zenodo.18222456
title: चित्रा मुद्गल के 'आवां' उपन्यास में व्यक्त नारी जीवन संघर्ष         *अमित पटेल

description: समकालीन स्त्री कथा लेखन परम्परा में चित्रा मुगल का नाम प्रमुख रूप से लिया जाता है। चित्रा मुद्गल जी उस धारा का प्रतिनिधित्व करती हैं जो समाज में महिला की दोयम स्थिति को समाप्त करने के साथ साथ महिलाओं को उनके उत्तरदायित्यों के प्रति सजग भी कराती हैं। मुद्गल जी के कथा साहित्य का प्रमुख स्वर 'नारी संघर्ष है तथा इसके मूल में नारी मुक्ति है। उनका यह नारी संघर्ष स्त्री को सामाजिक परिवेश में दुय्यम स्थान से मुक्त कराकर समाज में पुरुषों के बराबर हर क्षेत्र में स्थान दिलाने के लिए प्रयत्नशील है। परन्तु चित्रा मुद्गल जी उनके संघर्ष में नारी के अधिकारों के साथ-साथ उनके कर्तव्यों की भी चर्चा की हैं। मुद्गल जी एक स्वस्थ नारीवाद से प्रेरित समन्वयवादी लेखिका हैं। इनके कथा साहित्य में एक और नारी अपने अस्तित्व और स्वाभिमान की रक्षा के लिए पुरुष प्रधान समाज से संघर्ष कर रही है वहीं दूसरी ओर फैले अन्याय, अत्याचार, शोषण अमानवियता आदि का विरोध करती दिखाई देती है।
DOI: 10.5281/zenodo.18222466
title: Data for "Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice"

description: Data and plotting script for "Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice"
DOI: 10.5281/zenodo.18222467
title: Data for "Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice"

description: Data and plotting script for "Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice"
DOI: 10.7910/dvn/b5xino
title: US Multi-Resolution Land Characteristics Consortium (MRLC) National Land Cover Database (NLCD), Imperviousness All Years (CONUS)

description: The National Land Cover Database (NLCD) includes the Imperviousness All Year dataset. It provides specific data for impervious surfaces across the contiguous United States (CONUS) and is managed by the U.S. Multi-Resolution Land Characteristics Consortium (MRLC). The data provide critical information about the extent and distribution of impervious surfaces as well as estimates of impervious surfaces, such as roads, buildings, and other man-made structures that prevent water from infiltrating the ground. The data are expressed as a percentage of imperviousness for each 30-meter pixel.
description: <b>Intended Use</b>Geospatial exposure assessment for public health studies on longer-term outcomesGeospatial exposure assessment at the individual-level or population-levelLong-term (multi-decade) health cohort studiesGeospatial exposure model development<br><b>Strengths</b>Dataset supports analysis of developed land across the contiguous United States over multiple time-pointsDataset supports analysis of finely-resolved spatial variation (e.g., within neighborhood differences)Data accuracy regularly analyzed and published<br><b>Suggested Audience</b>ResearcherGeneral Public<br>
DOI: 10.5281/zenodo.17334019
title: land cover transition of the reconstructed land cover dataset of China
DOI: 10.5281/zenodo.18222533
title: land cover transition of the reconstructed land cover dataset of China
DOI: 10.5281/zenodo.17962074
title: Synergistic pharmaceutical interactions with nanoscale iron nitrides and natural organic matter

description: This repository contains data from the manuscript:

Veselská, V., Kašlík, J., Baragaño, D., Simonneau, A., Thiebault, T., Petr, M., ... & Ratié, G. (2025). Synergistic pharmaceutical interactions with nanoscale iron nitrides and natural organic matter. Chemical Engineering Journal, 168285.


Abstract

Understanding how natural organic matter (NOM) shapes the environmental fate of reactive iron nitride nanoparticles (nFeN) is key to advancing sustainable remediation technologies. This study investigates the behavior and interactions of novel nFeN, and conventional nanoscale zero-valent iron (nZVI), in complex and contrasting real-world aquatic environments: the pristine, organic-rich La Guette peatland and the wastewater-impacted Egoutier urban watershed in France. The study mainly focuses on their interplay with NOM and emerging pharmaceuticals (PPs). Field aging of nFeN produced mainly magnetite, akaganeite, and chukanovite (up to 31, 21, and 47 wt%, respectively), with site-specific mineral profiles shaped by DOC type, hydrodynamics, and microbial activity. Regarding PPs, under higher-flow conditions, nFeN outperformed nZVI, combined with DOC, retaining up to 96 ng g−1 venlafaxine, 83 ng g−1 oxazepam, 51 ng g−1 carbamazepine, 44 ng g−1 diazepam, 17 ng g−1 metoprolol and paracetamol, and 13 ng g−1 tramadol. Elevated log Kd (solid-liquid partition coefficient) values relative to log Koc (organic carbon to water partition coefficient) and log Kow (octanol-water partition coefficient) indicated that (i) interaction with NOM need to be considered for evaluating the PPs association with both Fe-based nanoparticles (NPs) and (ii) electrostatic interactions and ion exchange, rather than hydrophobicity, dominate cationic PPs binding by NPs. These findings highlight nFeN as a structurally robust yet environmentally responsive material for PP retention. The dataset also provides a valuable benchmark for designing nanocomposites incorporating nFeN, enabling evaluation of how porous supports alter its intrinsic performance under field conditions.

 

The research was supported from ERDF/ESF project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587). This study was also funded by the Barrande Mobility Project Nr. 8J22FR015 funded by the Ministry of Education Youth and Sports of the Czech Republic, Ministry for Europe and Foreign Affairs (MEAE) and the Ministry of Higher Education and Research (MESR) in France. This work was supported by the LabEx VOLTAIRE project (10-LABX-0100), funded by the French Ministry of Higher Education and Research. Diego Baraga˜no would like to thank to the Government of the Principality of Asturias (ID/2024/000749). The authors also acknowledge the assistance provided by the Research Infrastructure NanoEnviCz, supported by the Ministry of Education, Youth and Sports of the Czech Republic under Project No. LM2023066.
DOI: 10.5281/zenodo.17962075
title: Synergistic pharmaceutical interactions with nanoscale iron nitrides and natural organic matter

description: This repository contains data from the manuscript:

Veselská, V., Kašlík, J., Baragaño, D., Simonneau, A., Thiebault, T., Petr, M., ... & Ratié, G. (2025). Synergistic pharmaceutical interactions with nanoscale iron nitrides and natural organic matter. Chemical Engineering Journal, 168285.


Abstract

Understanding how natural organic matter (NOM) shapes the environmental fate of reactive iron nitride nanoparticles (nFeN) is key to advancing sustainable remediation technologies. This study investigates the behavior and interactions of novel nFeN, and conventional nanoscale zero-valent iron (nZVI), in complex and contrasting real-world aquatic environments: the pristine, organic-rich La Guette peatland and the wastewater-impacted Egoutier urban watershed in France. The study mainly focuses on their interplay with NOM and emerging pharmaceuticals (PPs). Field aging of nFeN produced mainly magnetite, akaganeite, and chukanovite (up to 31, 21, and 47 wt%, respectively), with site-specific mineral profiles shaped by DOC type, hydrodynamics, and microbial activity. Regarding PPs, under higher-flow conditions, nFeN outperformed nZVI, combined with DOC, retaining up to 96 ng g−1 venlafaxine, 83 ng g−1 oxazepam, 51 ng g−1 carbamazepine, 44 ng g−1 diazepam, 17 ng g−1 metoprolol and paracetamol, and 13 ng g−1 tramadol. Elevated log Kd (solid-liquid partition coefficient) values relative to log Koc (organic carbon to water partition coefficient) and log Kow (octanol-water partition coefficient) indicated that (i) interaction with NOM need to be considered for evaluating the PPs association with both Fe-based nanoparticles (NPs) and (ii) electrostatic interactions and ion exchange, rather than hydrophobicity, dominate cationic PPs binding by NPs. These findings highlight nFeN as a structurally robust yet environmentally responsive material for PP retention. The dataset also provides a valuable benchmark for designing nanocomposites incorporating nFeN, enabling evaluation of how porous supports alter its intrinsic performance under field conditions.

 

The research was supported from ERDF/ESF project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587). This study was also funded by the Barrande Mobility Project Nr. 8J22FR015 funded by the Ministry of Education Youth and Sports of the Czech Republic, Ministry for Europe and Foreign Affairs (MEAE) and the Ministry of Higher Education and Research (MESR) in France. This work was supported by the LabEx VOLTAIRE project (10-LABX-0100), funded by the French Ministry of Higher Education and Research. Diego Baraga˜no would like to thank to the Government of the Principality of Asturias (ID/2024/000749). The authors also acknowledge the assistance provided by the Research Infrastructure NanoEnviCz, supported by the Ministry of Education, Youth and Sports of the Czech Republic under Project No. LM2023066.
DOI: 10.15156/bio/sh1268261.10fu
title: SH1268261.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.