cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9evxs3
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arundo donax",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 117 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020378-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6xj-wre-mbv
title: †Orbitolinopsis Henson, 1948

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cem-hm5-3sn
title: †Cyprideis (Cyprideis) Jones, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.nxshwm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arundo donax",
 "Country is Eswatini",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020379-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/23r-9ap-dn3
title: Globigerina bulloides d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1gt-3bd-esh
title: †Orbitoides d'Orbigny, in Lyell, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35m-edb-pj9
title: †Lepidorbitoides campaniensis van Gorsel, 1973

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lby-zxn-bs5
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3mn-rb8-acm
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zc8-6qg-qvn
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1yf-w6w-wnq
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tpz-35m-xfy
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ty-ant-mt8
title: Conescharellina d'Orbigny, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f1t-3rf-n2e
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gqk-adl-g5d
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p3t-asv-q44
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z3w-zsd-zr3
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/she-cyl-9a5
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xvc-000-qxy
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1413061.10fu
title: SH1413061.10FU

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/sh1413063.10fu
title: SH1413063.10FU

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/sh1413067.10fu
title: SH1413067.10FU

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/sh1413069.10fu
title: SH1413069.10FU

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/sh1413071.10fu
title: SH1413071.10FU

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/sh1413075.10fu
title: SH1413075.10FU

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/sh1413076.10fu
title: SH1413076.10FU

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/sh1413077.10fu
title: SH1413077.10FU

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/sh1413079.10fu
title: SH1413079.10FU

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/sh1413081.10fu
title: SH1413081.10FU

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: 10.48544/93e09d1e-be55-4330-b226-a9477cf2b5bf
title: Zeeuwse inwoners en het verduurzamen van de eigen woning
DOI: 10.34740/kaggle/dsv/13677744
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.48544/1e931b72-50a8-499e-ba32-65424bde62f8
title: Bescherming van Zeeland tegen water
DOI: 10.5519/qd.33h8dvm6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.17026/ar/ckwhu2
title: Bureauonderzoek Uitbreiding onderstation Kattenberg (gemeente Arnhem)

description: In oktober 2025 is in opdracht van Oirion B.V. door Antea Group een archeologisch bureauonderzoek uitgevoerd voor de uitbreiding van het onderstation Kattenberg te Arnhem (gemeente Arnhem). 

Aanleiding voor het onderzoek is de uitbreiding van het hoogspanningsstation. 
Bij de aanlegwerkzaamheden kunnen eventuele archeologische waarden worden verstoord. Het archeologisch onderzoek dient als onderbouwing voor de ruimtelijke procedure. Een bureauonderzoek is de eerste stap binnen de Archeologische Monumentenzorg (AMZ, zie bijlage 2). Voor het plangebied geldt een onderzoek 
plicht conform het beleid van de gemeente Arnhem. Het doel van het uitvoeren van een archeologisch bureauonderzoek is het opstellen van een gespecificeerde 
archeologische verwachting voor het plangebied. Dit onderzoek is uitgevoerd conform de BRL 4000, protocol 4002 met daarin besloten de Kwaliteitsnorm Nederlandse Archeologie (KNA), versie 4.2.
 
Het plangebied is gelegen het Utrechts-Gelders zandgebied. Dit zandgebied is grotendeels na de ijstijd ontstaan. Het stuwwallenlandschap, dat een groot deel van het gebied rondom Arnhem beslaat is zo’n 150.000 jaar gevormd tijdens de voorlaatste ijstijd; het Saalien. Het landijs dat vanuit het noorden kwam, heeft 
destijds de ondergrond opgestuwd tot stuwwallen, die door hun hoge ligging aantrekkelijk waren voor bewoning.

Voor het gebied waar nog geen eerdere ontgraving heeft plaatsgevonden en waar een middelhoge/hoge verwachting geldt, adviseert Antea Group tot het uitvoeren van een inventariserend veldonderzoek door middel van verkennende boringen, indien de beoogde ingrepen hier dieper dan 0,4 m -mv reiken.

Omdat een groot deel, namelijk het afgegraven en geëgaliseerde deel van het plangebied, als reeds onderzocht of verstoord wordt aangemerkt door de gemeente Arnhem, adviseert Antea Group om dit gedeelte vrij te geven. 
Op de bijgevoegde advieskaart is een nog niet nader gespecificeerde advieszone weergegeven. Dit gebied wordt op de kaart aangegeven als IVO-O. In het huidig stadium van de ontwerpfase is het nog niet bekend wat de werkdimensies, zowel verticaal als horizontaal, zullen zijn. Geadviseerd wordt om de bodemingrepen 
zoveel mogelijk te beperken, in ieder geval tot een maximale diepte van 0,4 meter -mv of om het gebied middels planinpassing te ontzien van bodemverstorende werkzaamheden. Derhalve beslaat de huidige advieszone circa 1 hectare.

Dit is een advies. Het nemen van een selectiebesluit is voorbehouden aan het bevoegd gezag, in dezen de gemeente Arnhem.
DOI: 10.5281/zenodo.17569752
title: A Large-Scale Dataset of Non-Isomorphic Control Flow Graphs from Real-World Code

description: The dataset consists of control-flow graphs collected from github repositories. That version is made public for reviewers of MSR 2026. The full description of its content is available in the submitted manuscript.
DOI: 10.5281/zenodo.17569751
title: A Large-Scale Dataset of Non-Isomorphic Control Flow Graphs from Real-World Code

description: The dataset consists of control-flow graphs collected from github repositories. That version is made public for reviewers of MSR 2026. The full description of its content is available in the submitted manuscript.
DOI: 10.15468/dl.xsny3k
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Eritrea",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 250 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024639-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/8aa932ed-115e-45b2-b4c8-d1fd8ce23c16
title: Leven in de Bevelanden
DOI: 10.5281/zenodo.17405072
title: MALDI-Kleb-AI
title: Italian multicentric dataset of MALDI-TOF mass spectra of Klebsiella with AMR annotations

description: This dataset includes MALDI-TOF mass spectra of Klebsiella isolates collected from three Italian clinical centers (University Hospital “Policlinico G. Rodolico”, Catania; “Humanitas” Research Hospital, Rozzano; University Hospital “Foundation Policlinico Gemelli”, Rome), annotated with antimicrobial resistance profiles for meropenem and amikacin. The data support research on machine learning-based AMR prediction from MALDI-TOF spectra with cross-site harmonization.

Users are encouraged to process and analyze the data with MaldiAMRKit and combatlearn, which are the tools used for spectral preprocessing and batch-effect correction in the pipeline shared in MALDI-Kleb-AI on GitHub.
DOI: 10.5281/zenodo.17405071
title: MALDI-Kleb-AI
title: Italian multicentric dataset of MALDI-TOF mass spectra of Klebsiella with AMR annotations

description: This dataset includes MALDI-TOF mass spectra of Klebsiella isolates collected from three Italian clinical centers (University Hospital “Policlinico G. Rodolico”, Catania; “Humanitas” Research Hospital, Rozzano; University Hospital “Foundation Policlinico Gemelli”, Rome), annotated with antimicrobial resistance profiles for meropenem and amikacin. The data support research on machine learning-based AMR prediction from MALDI-TOF spectra with cross-site harmonization.

Users are encouraged to process and analyze the data with MaldiAMRKit and combatlearn, which are the tools used for spectral preprocessing and batch-effect correction in the pipeline shared in MALDI-Kleb-AI on GitHub.
DOI: 10.5281/zenodo.17552978
title: 30S-seq Redefines the Bacterial Ribosome Binding Site - BAM files

description: BAM and BAI files for 30S-seq analysis of ribosome binding in E.coli MG1655, grown in LB at 37°C until an OD600 of 0.7 

Method and conditions described in "30S-seq redefines the bacterial Ribosome Binding Site"
DOI: 10.5281/zenodo.17552979
title: 30S-seq Redefines the Bacterial Ribosome Binding Site - BAM files

description: BAM and BAI files for 30S-seq analysis of ribosome binding in E.coli MG1655, grown in LB at 37°C until an OD600 of 0.7 

Method and conditions described in "30S-seq redefines the bacterial Ribosome Binding Site"
DOI: 10.5281/zenodo.17531312
title: Dry snow initialization and densification over the Greenland and Antarctic ice sheets in the ORCHIDEE land surface model: Datasets and Model Outputs

description: This archive contains the datasets and model outputs used to produce the figures of the following preprint in the journal The Cryosphere:

Conesa, P., Agosta, C., Charbit, S., Dumas, C., Beylat, S. and Raoult, N. (2025) Dry snow initialization and densification over the Greenland and Antarctic ice sheets in the ORCHIDEE land surface model

The datasets and model outputs are aimed to be used with the second zenodo repository (available at Jupyter_notebooks) containing the jupyter notebooks used to produce the figures.

Both repositories will be publicly released once the article is reviewed.

All information is available here: Readme

Researchers and colleagues are welcome to contact me at philippe.conesa@lsce.ipsl.fr for any further information.
DOI: 10.5281/zenodo.17531313
title: Dry snow initialization and densification over the Greenland and Antarctic ice sheets in the ORCHIDEE land surface model: Datasets and Model Outputs

description: This archive contains the datasets and model outputs used to produce the figures of the following preprint in the journal The Cryosphere:

Conesa, P., Agosta, C., Charbit, S., Dumas, C., Beylat, S. and Raoult, N. (2025) Dry snow initialization and densification over the Greenland and Antarctic ice sheets in the ORCHIDEE land surface model

The datasets and model outputs are aimed to be used with the second zenodo repository (available at Jupyter_notebooks) containing the jupyter notebooks used to produce the figures.

Both repositories will be publicly released once the article is reviewed.

All information is available here: Readme

Researchers and colleagues are welcome to contact me at philippe.conesa@lsce.ipsl.fr for any further information.