cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0211638.10fu
title: SH0211638.10FU

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/sh0211639.10fu
title: SH0211639.10FU

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/sh0211640.10fu
title: SH0211640.10FU

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: 10.5281/zenodo.17019462
title: Uniaxial tensile test data for VHB tape and Elastosil 4:3 at different loading rates

description: This dataset contains the experimental raw data from the uniaxial mechanical testing of soft elastomers: force-displacement curves and displacement fields for all experimental repetitions. 

Every specimen (a rectangular plate with a circular hole) is tested under uniaxial tensile loading until rupture.Elastosil samples had a thickness of 2 mm, and VHB samples had a thickness of 0.5 mm. The initial length between grips was set to 15 mm. 

The files for the force-displacement data (zip file: force_displacement_curves) and the DIC displacement fields are named according to:- the type of sample (elastosil_43 or vhb),- the deformation rate (displacement rate of the clamps) (e.g., ldot = 15 mm/s),- the diameter of the hole (plate_d5mm),- and the number of the experiment up to the total number of repetitions under the same test conditions (rep1, rep2, and rep3).

Inside each .zip file, all horizontal (prefix u1_<img>) and vertical (prefix u2_<img>) displacement fields are provided for each loading stage, where <img> indicates the image number. Information on the acquisition rate of images is provided within each folder (README.md), allowing each displacement field to be related to a specific value of the clamp displacement during loading.

If this dataset is used for research or industrial purposes, please cite:S. Wiesheier, M.A. Moreno-Mateos, P. Steinmann. "Data-adaptive spline-based viscoelasticity for soft solids", Computer Methods in Applied Mechanics and Engineering, 451 (2026). https://doi.org/10.1016/j.cma.2025.118705.

Further information about the specimen preparation and experimental setup can be found in the aforementioned work.
DOI: 10.5281/zenodo.17019463
title: Uniaxial tensile test data for VHB tape and Elastosil 4:3 at different loading rates

description: This dataset contains the experimental raw data from the uniaxial mechanical testing of soft elastomers: force-displacement curves and displacement fields for all experimental repetitions. 

Every specimen (a rectangular plate with a circular hole) is tested under uniaxial tensile loading until rupture.Elastosil samples had a thickness of 2 mm, and VHB samples had a thickness of 0.5 mm. The initial length between grips was set to 15 mm. 

The files for the force-displacement data (zip file: force_displacement_curves) and the DIC displacement fields are named according to:- the type of sample (elastosil_43 or vhb),- the deformation rate (displacement rate of the clamps) (e.g., ldot = 15 mm/s),- the diameter of the hole (plate_d5mm),- and the number of the experiment up to the total number of repetitions under the same test conditions (rep1, rep2, and rep3).

Inside each .zip file, all horizontal (prefix u1_<img>) and vertical (prefix u2_<img>) displacement fields are provided for each loading stage, where <img> indicates the image number. Information on the acquisition rate of images is provided within each folder (README.md), allowing each displacement field to be related to a specific value of the clamp displacement during loading.

If this dataset is used for research or industrial purposes, please cite:S. Wiesheier, M.A. Moreno-Mateos, P. Steinmann. "Data-adaptive spline-based viscoelasticity for soft solids", Computer Methods in Applied Mechanics and Engineering, 451 (2026). https://doi.org/10.1016/j.cma.2025.118705.

Further information about the specimen preparation and experimental setup can be found in the aforementioned work.
DOI: 10.3886/e242299
title: Bayelsa Medical University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Bayelsa Medical University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.hm7w97
title: Occurrence Download

description: A dataset containing 273718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC"
 ]
}

 The dataset includes 273718 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaum9w
title: Occurrence Download

description: A dataset containing 8588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus glauca",
 "Year 1976-2026"
 ]
}

 The dataset includes 8588 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.837qje
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((4.24487 45.49237,14.3808 45.49237,14.3808 57.48546,4.24487 57.48546,4.24487 45.49237))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx"
 ]
}

 The dataset includes 245 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070991-251120083545085/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/14372001
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17815411
title: FRA-RIG LUNG Cancer (TCGA-LUAD, sklearn demo): survival risk models

description: TL;DR

• Two survival models for TCGA-LUAD (PanCancer Atlas): 

  (A) outcome-aware (v4) — CV ROC-AUC ≈ 0.93 (leak-prone, for study only)

  (B) honest baseline (v4.1) — CV ROC-AUC ≈ 0.76 (no outcome leakage; deploy-style).

• 1-minute run: pip install -r requirements.txt → python predict_demo.py --model v4_1 --csv sample.csv

• Open code: notebook + ZIP. Data: cBioPortal (TCGA-LUAD PanCancer Atlas).

Models/reports: CC BY 4.0. Code: MIT. Research only, not for clinical use.
DOI: 10.5281/zenodo.17808891
title: FRA-RIG LUNG Cancer (TCGA-LUAD, sklearn demo): survival risk models

description: TL;DR

• Two survival models for TCGA-LUAD (PanCancer Atlas): 

  (A) outcome-aware (v4) — CV ROC-AUC ≈ 0.93 (leak-prone, for study only)

  (B) honest baseline (v4.1) — CV ROC-AUC ≈ 0.76 (no outcome leakage; deploy-style).

• 1-minute run: pip install -r requirements.txt → python predict_demo.py --model v4_1 --csv sample.csv

• Open code: notebook + ZIP. Data: cBioPortal (TCGA-LUAD PanCancer Atlas).

Models/reports: CC BY 4.0. Code: MIT. Research only, not for clinical use.
DOI: 10.15468/dl.j2vty6
title: Occurrence Download

description: A dataset containing 6825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus glauca",
 "Year 1976-2026"
 ]
}

 The dataset includes 6825 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070992-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjrzwk
title: Occurrence Download

description: A dataset containing 772938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "Geometry POLYGON((97.3 23,105.3 23,105.3 34.4,97.3 34.4,97.3 23))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1950-2026"
 ]
}

 The dataset includes 772938 records from 1100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070976-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8akug
title: Occurrence Download

description: A dataset containing 295031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "MediaType is Image",
 {
 "or" : [
 "ScientificName is Achillea millefolium L.",
 "ScientificName is Centaurea jacea L."
 ]
 }
 ]
}

 The dataset includes 295031 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18131403
title: Marienwerder, Rats-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18131404
title: Marienwerder, Rats-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.16919652
title: The Basel Land Records Ground Truth: An Annotated Dataset for Information Extraction on German-language Administrative Records.

description: We present a dataset based on the Historical Land Records of Basel, covering the period 1400–1700. The dataset comprises 829 source excerpts in premodern German containing more than 50,000 tokens and 30,000 annotations. The annotations capture nested entities, events, and relations, reflecting complex interactions between actors and properties. Over two-thirds of entity references are nested within others, providing rich material for training and evaluating models in nested sequence tagging, low-resource named entity recognition, and noise-tolerant NLP. The dataset may also support the development of generalized models for premodern German. The dataset is stored on Zenodo, and provided in TEI and XML formats. 

The source corpus from which this data set was created - The Historical Land Records of Basel - has been a rich collection of information for researchers of history, economy and sociology since a long time.

This dataset was created as part of the research project Economies of Space . The project aims to research strategies on how to best access a large scale corpus such as the central Historical Land Records of Basel, deal with premodern German and produce analysis from a historians perspective.
DOI: 10.15468/dl.v2dk54
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Cambodia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001898-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14221828
title: Recommended food alternatives (healthier, eco-friendly, and cost-effective)

description: It includes recommended food alternatives (healthier, eco-friendly, and cost-effective) for items selected from receipts. This dataset is valuable for research in consumer food science, as it captures the food choices of a small group of consumers over 21 days. It is also useful for machine learning training. All food items are linked to NAct ontology.
DOI: 10.5281/zenodo.14221829
title: Recommended food alternatives (healthier, eco-friendly, and cost-effective)

description: It includes recommended food alternatives (healthier, eco-friendly, and cost-effective) for items selected from receipts. This dataset is valuable for research in consumer food science, as it captures the food choices of a small group of consumers over 21 days. It is also useful for machine learning training. All food items are linked to NAct ontology.
DOI: 10.15468/dl.6ff84b
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Equus przewalskii Poliakov, 1881"
 ]
}

 The dataset includes 247 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001901-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86kcc9
title: Occurrence Download

description: A dataset containing 3716459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.85233 11.281,-74.87297 10.68343,-74.89771 10.44639,-74.92277 10.19747,-74.83107 9.73798,-74.72458 9.2036,-74.6849 8.7657,-73.89596 8.56371,-73.36786 8.83923,-73.30492 9.29028,-73.08531 9.64274,-73.40923 9.88963,-73.45154 10.49761,-73.35783 10.9529,-73.38878 11.41674,-74.85233 11.281))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3716459 records from 749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001894-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7jfuw
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium hymenorhizum Ledeb."
 ]
}

 The dataset includes 404 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001899-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14221997
title: Food shopping experience

description: This dataset contains curated textual information such as product names, quantities, and prices from 101 images of consumer food receipts. Anonymized for privacy, it holds great potential for scientific research and can be used to train and develop advanced data science and machine learning (ML) techniques. While retailers collect similar food receipt data, these are unavailable to the public or researchers. Data related to trace food shopping experience.
DOI: 10.5281/zenodo.14221998
title: Food shopping experience

description: This dataset contains curated textual information such as product names, quantities, and prices from 101 images of consumer food receipts. Anonymized for privacy, it holds great potential for scientific research and can be used to train and develop advanced data science and machine learning (ML) techniques. While retailers collect similar food receipt data, these are unavailable to the public or researchers. Data related to trace food shopping experience.
DOI: 10.5281/zenodo.14215785
title: Dstes
DOI: 10.34740/kaggle/dsv/10017901
title: BBC Burmese News rss
DOI: 10.15468/dl.knj59a
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001902-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr8es9
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is India",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 478 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001903-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gr7atn
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001904-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3xx44
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Bombus schrencki Morawitz, 1881"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001905-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.27682518
title: A sustainable information system framework for the adoption of a smart water meter system

description: <b>Ethical clearance reference number: 213073579/2022/3</b>Despite facing several challenges, water utility providers continue to use 'traditional, manual, or analogue water management solutions. This study explored the reasons why water institutions in Nigeria fail to adopt an IoT-based Smart Water Meter System (SWMS) to improve the efficiency of water management for a sustainable future. The study sought to identify factors influencing the adoption of a SWMS, people’s perceptions about adopting a SWMS, how institutions can adopt a SWMS as part of their water management method, the role of government in facilitating and engaging water institutions to use a SWMS, existing practical evidence on the adoption of a SWMS by water utilities, smart water application technologies for water management, and what framework can be developed to adopt a SWMS.Two main constructs (anonymity and confidentiality) were applied to protect the identities and interests of both the firm and the subjects. Therefore, a pseudonym (fake or false name) was used where possible throughout in the study to maintain the subjects’/institution’s anonymity.