cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/39g9-8047
title: "Cross-Vendor Multi-Node Spot Instance Dynamics: A Public Cloud Data Archive Service and Analysis"

description: "This repository contains a comprehensive analysis of cloud spot instance data collected from three major cloud service providers: AWS, Azure, and GCP. The dataset includes over 160 million records collected during June 2025, covering spot pricing, interruption frequencies, placement scores, and various stability metrics across 7 major regions per provider.The analysis examines temporal patterns (hourly and weekly variations), geographical differences (regional and availability zone-level), instance category characteristics (general, compute, memory, storage, and accelerated computing), and statistical relationships between key metrics including spot price, interruption frequency (IF), spot placement score (SPS), and advanced availability metrics (T2, T3).This dataset and analysis pipeline are designed to support cloud cost optimization research, reliability engineering studies, capacity planning, and broader research into cloud resource pricing and allocation mechanisms. All analysis scripts are provided in both Python and Jupyter notebook formats, with generated visualizations and statistical tables included in the repository."
DOI: 10.15468/dl.8jd3f9
title: Occurrence Download

description: A dataset containing 1104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-39.97244 -10.07716,97.97244 -10.07716,97.97244 45.07716,-39.97244 45.07716,-39.97244 -10.07716))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo leo"
 ]
}

 The dataset includes 1104 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020110-251025141854904/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.cc2bvlkc
title: CCDC 2170513: Experimental Crystal Structure Determination

description: Related Article: SHIVABASAYYA V SALIMATH|2022|CSD Communication|||
description: Related Article: Shivabasayya V. Salimath,  Kavita B. Hiremath,  Sathish Thanigachalam,  Arjita Ghosh,  Selva Kumar Ramasamy,  Anbalagan Moorthy,  S. K. Ashok Kumar,  Murugesh Shivashankar,  Madhvesh Pathak|2025|Scientific Reports|15|29066|doi:10.1038/s41598-025-13995-0
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.15753208
title: Transpath scenarios database

description: This data repository contains the intervention scenario database of the Transpath project. It serves as an accompanying dataset for Deliverable D3.1, which was created as part of the EU Horizon project Transpath.  

The table “Database_v01_10_06_2025_cn.xlsx” contains the database with 601 different global and model-based scenarios classified as policy screening, target seeking, exploratory, or reference scenarios. Of these, 482 are so-called intervention scenarios, i.e., scenarios that simulate measures to combat climate change or reverse global biodiversity loss. The database contains the qualitative assumptions, quantitative assumptions, interventions, and impacts underlying the scenarios. 

The table “Full-text_screening_literature.xlsx” contains the sources that served as the basis for compiling the database and the decisions of the full-text screening, on the basis of which scenarios/studies were included in or excluded from the database. 

For a more detailed description of the methods or a description of the database content, please refer to Deliverable D3.1 of the project: Neumann, C., Alkemade, R., Van Vuuren, D., Seppelt, R. (2025). Global Assessment of Biodiversity-Climate Pathways. Deliverable 3.1.

The database is accompanied by a GitHub repository, which contains the code used to process the collected data and perform the descriptive analysis of the deliverable.
DOI: 10.5281/zenodo.17544678
title: Transpath scenarios database

description: This data repository contains the intervention scenario database of the Transpath project. It serves as an accompanying dataset for Deliverable D3.1, which was created as part of the EU Horizon project Transpath.  

The table “Database_v01_10_06_2025_cn.xlsx” contains the database with 601 different global and model-based scenarios classified as policy screening, target seeking, exploratory, or reference scenarios. Of these, 482 are so-called intervention scenarios, i.e., scenarios that simulate measures to combat climate change or reverse global biodiversity loss. The database contains the qualitative assumptions, quantitative assumptions, interventions, and impacts underlying the scenarios. 

The table “Full-text_screening_literature.xlsx” contains the sources that served as the basis for compiling the database and the decisions of the full-text screening, on the basis of which scenarios/studies were included in or excluded from the database. 

For a more detailed description of the methods or a description of the database content, please refer to Deliverable D3.1 of the project: Neumann, C., Alkemade, R., Van Vuuren, D., Seppelt, R. (2025). Global Assessment of Biodiversity-Climate Pathways. Deliverable 3.1.

The database is accompanied by a GitHub repository, which contains the code used to process the collected data and perform the descriptive analysis of the deliverable.
DOI: 10.15468/dl.ab4qtu
title: Occurrence Download

description: A dataset containing 168878151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 168878151 records from 3578 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020074-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1388652.10fu
title: SH1388652.10FU

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/sh1388653.10fu
title: SH1388653.10FU

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/sh1388656.10fu
title: SH1388656.10FU

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/sh1388657.10fu
title: SH1388657.10FU

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/sh1388659.10fu
title: SH1388659.10FU

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/sh1388664.10fu
title: SH1388664.10FU

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/sh1388665.10fu
title: SH1388665.10FU

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/sh1388666.10fu
title: SH1388666.10FU

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: 10.6084/m9.figshare.31055786
title: An assemblage of carbonaceous compression macrofossils from the Tonian Changlingzi Formation, Liaonan region, North China

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.31055786.v1
title: An assemblage of carbonaceous compression macrofossils from the Tonian Changlingzi Formation, Liaonan region, North China

description: Supplementary Table 1
DOI: 10.15468/dl.sqyhpf
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-96.62656 16.23518,-96.54774 16.23518,-96.54774 16.29129,-96.62656 16.29129,-96.62656 16.23518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 502 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010302-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3c1-gdd-v1h
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q4n-ysw-w0j
title: Lotus hirsutus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nyj-1m0-6fx
title: Erica arborea L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dyb-tgp-k9a
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xjq-njz-lj6
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/37h-9kb-znk
title: Phyllocosmus sessiliflorus Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dmc-3mk-jms
title: Ribes uva-crispa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2tw-cmt-az6
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m9k-zdh-a20
title: Vallisneria spiralis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t00-2w8-zvx
title: Tephrosia elegans Schumach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4az-a6q-xxd
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mq1-9em-258
title: Trifolium physodes Steven ex M.Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fg2-7tj-292
title: Gundelia asperrima (Trautv.) Firat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qvp-4ny-sfb
title: Mylia anomala (Hook.) Gray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.du4643
title: Occurrence Download

description: A dataset containing 1809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odocoileus virginianus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1809 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068976-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/m6l-41k-q2k
title: Ruta graveolens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t6x-gx6-p3t
title: Gundelia dersim Vitek, E. Yüce & Ergin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9nx-6vj-jnc
title: Achillea ligustica All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c06-y94-jzd
title: Scrophularia laciniata Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z0b-ljm-0yq
title: Lapsana communis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zn1-3a6-6df
title: Hippocrepis emerus subsp. emeroides (Boiss. & Spruner) Greuter & Burdet ex Lassen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2hd-4h9-8qj
title: Androsace lactea L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x6m-pqp-a0w
title: Gundelia dersim Vitek, E. Yüce & Ergin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z98-t2t-tmx
title: Dicranum undulatum Schrad. ex Brid.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5z0-78l-dx5
title: Androsace elongata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lct-pr8-c6j
title: Plantago subulata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1z2-6bl-phm
title: Galium thymifolium Boiss. & Heldr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6xf-15y-jpg
title: Potentilla brauneana Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nd5-ymy-b3q
title: Soldanella alpina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ztq-dpk-yg9
title: Potentilla recta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b5f-1l2-471
title: Desbordesia glaucescens (Engl.) Tiegh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s7h-mqh-hfk
title: Androsace maxima L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t85-174-nqg
title: Centaurium pulchellum (Sw.) Druce

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4t5-snj-tg1
title: Tragia laminularis Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fey-plk-rs3
title: Reissantia indica (Willd.) N. Hallé

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f0a-aq4-drg
title: Homalium fulviflorum Sleumer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8g0-11j-32z
title: Cryptosepalum tetraphyllum (Hook.f.) Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k0a-a0m-zc8
title: Turraea vogelii Hook. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k7a-fsr-ndc
title: Landolphia le-testui (Pellegr.) Pichon

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ka7-f2s-74k
title: Pyrola chlorantha Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r5z-q9s-mxj
title: Croton penduliflorus Hutch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x3v-ccd-xt5
title: Tessmannia anomala var. flamignii J.Léonard

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/16y-870-1d7
title: Helixanthera mannii (Oliv.) Danser

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ewf-1vk-6rr
title: Greenwayodendron suaveolens (Engl. & Diels) Verdc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dy3-94y-ahr
title: Potentilla pusilla Host

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ww3-zyv-cd3
title: Potentilla L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c16-x5d-lyf
title: Potentilla L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sd1-nhs-j8t
title: Abies cephalonica Loudon

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0wy-ax4-4d5
title: Gundelia dersim Vitek, E. Yüce & Ergin

description: Digital Specimen for the physical specimen hosted at University of Graz.