cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mpn3jr
title: Occurrence Download

description: A dataset containing 203324 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Frangula surotatensis, Antimima verruculosa, Teucrium dumulosum, Schizachyrium malacostachyum, Drymocallis glandulosa, Atriplex torreyi, Deschampsia elongata, Festuca calva, Alchemilla indivisa, Filago griffithii, Erepsia heteropetala, Ypsilopus erectus, Blainvillea cunninghamii, Nuytsia floribunda, Elattostachys nervosa, Hesperocyparis bakeri, Erepsia urbaniana, Acmispon decumbens, Astragalus geyeri, Austrostipa compressa, Elymus festucoides, Stachystemon nematophorus, Ergocarpon cryptanthum, Juncus torreyi, Arceuthobium oxycedri, Loeseliastrum schottii, Mitracarpus hirtus, Dillwynia sparsifolia, Crepis pusilla, Austrostipa pubescens, Trifolium boissieri, Aldama fruticosa, Juncus minutulus, Smallanthus connatus, Rhodanthe oppositifolia, Pelargonium grenvillei, Lomelosia sphaciotica, Arctotheca prostrata, Lomelosia rufescens, Phaulopsis imbricata, Castilleja lacera, Stipa scholzii, Dinebra polystachyos, Schoenoplectiella corymbosa, Pelargonium oenotherae, Piliostigma malabaricum, Ixchelia mexicana, Caladenia concinna, Thymelaea hirsuta, Boechera pratincola, Wimmerella frontidentata, Bolboschoenus glaucus, Sidalcea sparsifolia, Melaleuca montana, Melaleuca protumida, Melaleuca marginata, Jacquemontia paniculata, Bolboschoenus maritimus, Argentina lignosa, Bolboschoenus robustus, Melaleuca caroli-huegelii, Ficinia neocapensis, Resnova lachenalioides, Santalum spicatum, Chamaecrista hispidula, Melaleuca sulcata, Phaneroglossa bolusii, Berkheyopsis echinus, Monolluma hexagona, Melaleuca linearifolia, Aluta appressa, Apodasmia brownii, Cleretum clavatum, Linanthus inyoensis, Colchicum euboeum, Dichelostemma ida-maia, Colchicum trigynum, Lepechinia caulescens, Plectocephalus bulbosus, Plectranthus ambiguus, Syncarpha ferruginea, Lemonanthemum zygophylloides, Microchloa altera, Monanthotaxis caffra, Prunus discolor, Pallenis maritima, Rosularia elymaitica, Cryptogramma crispa, Magnolia tarahumara, Armeria nebrodensis, Nemacladus tenuis, Wedelia rosei, Hypodematium crenatum, Stelis rufobrunnea, Mespilodaphne veraguensis, Droguetia iners, Rosularia lineata, Nidorella foetida, Decaisnina brittenii, Seddera suffruticosa)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 203324 records from 1466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014481-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13606368
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5517/ccdc.csd.cc2pxfgj
title: CCDC 2499978: Experimental Crystal Structure Determination

description: Related Article: Celine Cano, Daniela Cortese, Roberta Fruttero, Paul G. Waddell|2025|CSD Communication|||
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.cc2pxh04
title: CCDC 2500026: Experimental Crystal Structure Determination

description: Related Article: Nathan Davison, Erli Lu, Paul G. Waddell|2025|CSD Communication|||
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.cc2pxhrw
title: CCDC 2500049: Experimental Crystal Structure Determination

description: Related Article: Ahmed K. B. Aljohani, Jonathan D. Sellars, Paul G. Waddell|2025|CSD Communication|||
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.cc2pxhw0
title: CCDC 2500053: Experimental Crystal Structure Determination

description: Related Article: Peter Evans, Keith Izod, Paul G. Waddell|2025|CSD Communication|||
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.cc2pxhz3
title: CCDC 2500056: Experimental Crystal Structure Determination

description: Related Article: Keith Izod, Hannah M. Nicholas, Paul G. Waddell|2025|CSD Communication|||
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: 10.5281/zenodo.17518524
title: Grove_Mountains_Earquake_5.0_Z

description: README

The file Grove_Linear_Array_Stalist47.xlsx contains information for 47 seismic stations, including the geographic coordinates (latitude and longitude) and elevation data for each station. For each station, the corresponding remote earthquake event data is stored in a zip file named after the station (e.g., StationName.zip). Within each zip file, the earthquake catalog is provided in a CSV format, with the catalog file named query.csv. This dataset is used to analyze the seismic events recorded by the array of stations and their associated parameters.
DOI: 10.6084/m9.figshare.30528347
title: <b> Soil organic carbon and its fractions of reclaimed soils</b>

description: We conducted a 360-day mesocosm experiment to investigate the effects of different reclaimed materials (i.e., coal gangue, CG; lake mud, LM; and Yellow-river sand, YS) on SOC and its fractions (i.e., passive organic carbon, POC; intermediate organic carbon, IOC; active organic carbon, AOC) from a mining area. The data is recorded in the database.
DOI: 10.6084/m9.figshare.30528347.v1
title: <b> Soil organic carbon and its fractions of reclaimed soils</b>

description: We conducted a 360-day mesocosm experiment to investigate the effects of different reclaimed materials (i.e., coal gangue, CG; lake mud, LM; and Yellow-river sand, YS) on SOC and its fractions (i.e., passive organic carbon, POC; intermediate organic carbon, IOC; active organic carbon, AOC) from a mining area. The data is recorded in the database.
DOI: 10.6084/m9.figshare.29555549
title: The Medicinal Herb–Disease Relationships (MHDR) Corpus

description: Traditional medicine (TM) has long utilized medicinal herbs (MHs) to prevent and treat diverse health conditions. In recent years, growing efforts to integrate TM with modern biomedical research have sought to validate traditional knowledge and uncover novel therapeutic insights. However, the exponential increase in biomedical publications has made it increasingly difficult to extract structured and interpretable knowledge—particularly relationships between MHs and diseases—from unstructured text. Although Natural Language Processing (NLP) and machine learning (ML) methods offer potential solutions, they remain limited by linguistic ambiguity, inconsistent terminology, and context-dependent meaning.<br>To address these challenges, we present the Medicinal Herb–Disease Relationships (MHDR) corpus, an expert-annotated resource designed to support computational analysis of MH–disease associations within the integrative TM–biomedicine domain. Derived from 800 PubMed abstracts, the MHDR corpus captures pharmacognostic-level herb mentions, reflecting plant parts and processing methods critical for precise entity normalization. The resulting dataset comprises 5,119 MH mentions, 6,621 disease mentions, and 1,314 annotated MH–disease relations extracted from 832 key sentences bearing evidences.<br>Baseline evaluations using Transformer-based language models demonstrate the corpus’s utility for relation extraction tasks in biomedical text mining. By providing a well-curated and semantically accurate dataset, the MHDR corpus contributes to advancing biomedical informatics research, enabling more accurate knowledge discovery, ontology integration, and computational modeling of therapeutic mechanisms in traditional medicine.
DOI: 10.6084/m9.figshare.29555549.v2
title: The Medicinal Herb–Disease Relationships (MHDR) Corpus

description: Traditional medicine (TM) has long utilized medicinal herbs (MHs) to prevent and treat diverse health conditions. In recent years, growing efforts to integrate TM with modern biomedical research have sought to validate traditional knowledge and uncover novel therapeutic insights. However, the exponential increase in biomedical publications has made it increasingly difficult to extract structured and interpretable knowledge—particularly relationships between MHs and diseases—from unstructured text. Although Natural Language Processing (NLP) and machine learning (ML) methods offer potential solutions, they remain limited by linguistic ambiguity, inconsistent terminology, and context-dependent meaning.<br>To address these challenges, we present the Medicinal Herb–Disease Relationships (MHDR) corpus, an expert-annotated resource designed to support computational analysis of MH–disease associations within the integrative TM–biomedicine domain. Derived from 800 PubMed abstracts, the MHDR corpus captures pharmacognostic-level herb mentions, reflecting plant parts and processing methods critical for precise entity normalization. The resulting dataset comprises 5,119 MH mentions, 6,621 disease mentions, and 1,314 annotated MH–disease relations extracted from 832 key sentences bearing evidences.<br>Baseline evaluations using Transformer-based language models demonstrate the corpus’s utility for relation extraction tasks in biomedical text mining. By providing a well-curated and semantically accurate dataset, the MHDR corpus contributes to advancing biomedical informatics research, enabling more accurate knowledge discovery, ontology integration, and computational modeling of therapeutic mechanisms in traditional medicine.
DOI: 10.6084/m9.figshare.29555549.v1
title: MHDR: Annotated Corpus for Medicinal Herb-Disease Relationships in Biomedical Articles with a Focus on Traditional Medicine.

description: Traditional medicine (TM) has long relied on medicinal herbs (MHs) to prevent and treat various ailments. Recently, efforts to integrate MHs with modern biomedical research have gained momentum, aiming to validate traditional knowledge and identify new therapeutic agents. However, the surge in biomedical literature presents challenges in extracting meaningful relationships, such as those between MHs and diseases. While automated methods like Natural Language Processing (NLP) and machine learning (ML) offer solutions, they often struggle with ambiguity, inconsistent terminology, and implicit meanings in texts. To address these limitations, the development of high-quality, expert-annotated corpora is essential. This study introduces the Medicinal Herb-Disease Relationships (MHDR) corpus, specifically designed to capture MH-disease relationships within the context of TM integrated with modern research. Constructed from 800 PubMed abstracts, the MHDR corpus emphasizes pharmacognostic herb names, which reflect specific plant parts and processing methods—key to accurate and fine-grained entity recognition. The corpus contains 5,119 MH mentions, 6,621 disease mentions, and 1,314 annotated relationships, extracted from 832 key sentences summarizing study findings. To evaluate its utility, baseline performance tests using Transformer-based models were conducted. With its comprehensive coverage and high-quality manual annotations, the MHDR corpus serves as a foundational resource for advancing biomedical NLP, supporting more accurate knowledge extraction, and promoting deeper exploration of MHs’ therapeutic potential through computational approaches.
DOI: 10.58160/0gnwmkstz6508zta
title: The magnetic domain structure of holmium films at low temperatures

description: In spite of the widespread use of rare-earth metals in magnetism, real space investigations of their magnetic domain structures remain scarce. Here we report on a systematic investigation on the structural and magnetic properties of Ho films by means of low-temperature spin-polarized scanning tunneling microscopy (SP-STM). The films are grown on W(110), resulting in well-ordered surfaces with stacking faults, glide dislocations, and double screw dislocations, all characteristic for epitaxial growth of hcp(0001) films on bcc(110) substrates. At low coverage up to ≈ 50 atomic layers (AL), the surface magnetic structure of the Ho(0001) films is found to be dominated by ferromagnetic in-plane domains magnetized along six equivalent high-symmetry axes. Significant pinning of domain walls to crystalline defects is observed. For Ho coverages exceeding 50 AL, additional out-of-plane magnetized stripe domains superimposed to the in-plane magnetization are observed. We relate these stripe domains to the dipolar stray field associated with the known helical magnetic cone structure of Ho which leads to an uncompensated magnetization component along the c axis, i.e., perpendicular to the surface. Domain wall analysis suggests Néel-capped Bloch-type walls with widths of w_60 ≈ 1.2 nm, w_120 ≈ 3 nm, and w_180 ≈ 4 nm for 60°, 120°, and 180° walls, respectively. Magnetic field-dependent measurements reveal that the stripe domains are annihilated by an out-of-plane field of μ_0*H = ±300 mT.
description: We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German ResearchFoundation) through Project No. 510676484 (GZ BO 1468/29-1) and under Germany’s Excellence Strategy through the Würzburg–Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter, ct.qmat (EXC 2147, Project No. 390858490).
description: Please read the "README.txt" file for further information.
description: CryoMag STM Laboratory
description: see "README.txt"
DOI: 10.6084/m9.figshare.30528392
title: Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism”

description: This dataset contains the anonymized and processed production data used in the study titled “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism,” submitted to <i>Applied Sciences</i>.The dataset originates from the internal production records of a cooperating automobile manufacturer. All confidential and proprietary information, including company identifiers, workstation codes, and part numbers, has been removed or replaced with generic labels.The dataset includes task identifiers, processing times, precedence relationships, model type sets (EV-specific, FV-specific, and shared tasks), workstation side indicators (Left/Right), and synchronization pairs used for algorithmic optimization. It can be utilized to reproduce the case study and experiments in the paper or to benchmark future optimization algorithms addressing mixed-model two-sided line balancing problems.The data are provided in <code>.xlsx</code> format and may be freely accessed and reused for <b>academic and non-commercial purposes only</b>.
DOI: 10.6084/m9.figshare.30528392.v1
title: Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism”

description: This dataset contains the anonymized and processed production data used in the study titled “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism,” submitted to <i>Applied Sciences</i>.The dataset originates from the internal production records of a cooperating automobile manufacturer. All confidential and proprietary information, including company identifiers, workstation codes, and part numbers, has been removed or replaced with generic labels.The dataset includes task identifiers, processing times, precedence relationships, model type sets (EV-specific, FV-specific, and shared tasks), workstation side indicators (Left/Right), and synchronization pairs used for algorithmic optimization. It can be utilized to reproduce the case study and experiments in the paper or to benchmark future optimization algorithms addressing mixed-model two-sided line balancing problems.The data are provided in <code>.xlsx</code> format and may be freely accessed and reused for <b>academic and non-commercial purposes only</b>.
DOI: 10.15468/dl.2ywa86
title: Occurrence Download

description: A dataset containing 388402 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Catabrosella parviflora, Mesembryanthemum oubergense, Grona flagellaris, Packera ganderi, Psephellus yildizii, Hackelia nervosa, Psephellus schischkinii, Cyrtanthus sanguineus, Billardiera lehmanniana, Othonna daucifolia, Gibbaria glabra, Calystegia occidentalis, Stoeberia giftbergensis, Carissa haematocarpa, Lomandra ordii, Elegia tectorum, Johrenia tortuosa, Hesperantha erecta, Eriocephalus ericoides, Cyclanthera minima, Albuca glandulifera, Othonna lasiocarpa, Orchinea alfredi-fuchsii, Astridia rubra, Rhynchosia singulifolia, Pilosella subrubens, Valeriana tuberculata, Nassella tenuis, Mirabilis prostrata, Setariopsis auriculata, Pilosella blaui, Hessea pulcherrima, Corymbia chippendalei, Valeriana minor, Austronea ciliolata, Corymbia cliftoniana, Valeriana paulae, Mirabilis oxybaphoides, Linum obtusatum, Zaluzania triloba, Myoporum tetrandrum, Flemingia trifoliata, Asparagus filicladus, Vincetoxicum diplostigma, Acourtia palmeri, Corymbia polycarpa, Pilosella longisquama, Orbea deflersiana, Jaborosa laciniata, Actinotus minor, Pilosella rubra, Asemeia apopetala, Hippocrepis brevipetala, Mesadenus lucayanus, Corymbia latifolia, Pilosella ziziana, Operculina pteripes, Thinoelymus laxus, Asphodeline tenuior, Eulobus crassifolius, Sideroxylon peninsulare, Sinclairia pringlei, Eremogone scariosa, Agathosma odoratissima, Homalium dentatum, Eremogone macradenia, Gamochaeta simplicicaulis, Harmonia nutans, Osteocarpum scleropterum, Ebenopsis caesalpinioides, Dracocephalum officinalis, Ruschia cradockensis, Cyanothamnus rigens, Ruschia altigena, Chiliadenus sericeus, Ruschia indecora, Rhynchospora rubra, Genista radiata, Putterlickia saxatilis, Bulbinella floribunda, Dryopteris carthusiana, Ruschia dichroa, Bouchardatia neurococca, Cartrema americana, Steirodiscus capillaceus, Calytrix acutifolia, Lotononis eriocarpa, Desmidorchis penicillata, Pseudognaphalium cymatoides, Myosotis lithospermifolia, Karrabina benthamiana, Arabis allionii, Pseudognaphalium aldunateoides, Calytrix pulchella, Descurainia kochii, Hieracium substramineum, Facchinia cherlerioides, Siemssenia microcephala)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 388402 records from 1537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014485-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97mkvb
title: Occurrence Download

description: A dataset containing 1509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Faidherbia albida (Delile) A.Chev.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 1509 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014430-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/s87-ma5-xm3
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hv0-t9n-qgr
title: Hyalinea balthica (Schröter, 1783)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vkx-80h-fw4
title: Apodemus sylvaticus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2ly-n1g-c11
title: Cythere polytrema Brady, 1878

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bm0-lf6-lqb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/32b-sr2-zhn
title: Apodemus sylvaticus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wzx-0g3-dax
title: Cytheridea (Cytheridea) Bosquet, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6lm-2aj-b2d
title: Spirillina perforata (Schultze, 1854)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kzx-w8v-q6a
title: †Stilostomella spinescens (Reuss, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qpj-elg-00d
title: Ramulina aculeata Wright, 1886

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gzw-r4s-xtc
title: †Epistominella oveyi (Bhatia, 1955)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pe0-236-rh4
title: Heterolepa dutemplei (d'Orbigny, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cjs-1ad-vjt
title: Textularia agglutinans d'Orbigny, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nk1-k9t-llj
title: Rhabdammina Sars in Carpenter, 1869

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/04m-4p8-b8x
title: Dryomys Thomas, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vfk-k94-6w0
title: Trifarina Cushman, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zp5-21n-vjr
title: Neoeponides antillarum (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vd4-8lj-x7d
title: Saracenaria Defrance, 1824

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y9g-8rl-14c
title: †Inoceramus J. Sowerby, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8b2-sqs-xhg
title: Cribroelphidium incertum (Williamson, 1858)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.