cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/3a3-g1d-4em
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2bz-ymk-sqj
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5jc-mx4-rtk
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b1s-qsh-9qm
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n7y-42x-wd3
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bda-6ne-qjz
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vk9-pmp-0kf
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fzm-t6a-mww
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k6c-byw-gxd
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lx1-zvn-hxp
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3m1-f53-1tj
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c3q-3vp-f7b
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l42-wfb-k8k
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vkr-bwl-e4v
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9s0-87x-nr0
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tlg-a0t-kaq
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9v3-nqj-7wz
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ddy-swx-fnc
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qm6-qjj-de1
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0kz-7r3-4sz
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y49-0lp-wr0
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1n4-l4w-f5l
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4jr-kfc-xa2
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r2p-a24-0md
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fbm-7b8-bav
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qa2-dl1-a5l
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zpz-ykm-nyg
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.pyaey4
title: Occurrence Download

description: A dataset containing 9745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cabomba caroliniana, Dikerogammarus villosus)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2024",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9745 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060809-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/sy8-ee0-b3c
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t6b-6k6-8wl
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/spq-ye3-p3q
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wkq-bf2-b5w
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y50-rzz-cnz
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a2n-02s-vg8
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cj4-d39-16g
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/07r-9tq-35a
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x6n-1bm-ga0
title: Ochrolechia arborea (Kreyer) Almb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.30304580
title: CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI

description: Online programming communities give novices places to explore computing through user-generated projects, but limited structure can hinder a steadily challenging learning path. Beginners often struggle to interpret key events and relationships in projects, connect them to core concepts, and remix practices. We present CoRemix, a generative-AI community support system that uses visual flowcharts to clarify project logic. CoRemix introduces a prompting pipeline paired with a visual-textual scaffold that guides learners in constructing flowcharts. We further incorporate static project analysis and retrieval-augmented generation (RAG) to raise the precision of large-language-model outputs. In technical evaluations, static analysis and RAG improved response quality. In a user study, CoRemix outperformed a baseline in helping learners understand complex projects, strengthen computing-concept skills, and report better learning experiences within online communities. These gains include clearer event sequencing, improved identification of relationships across sprites and scripts, stronger remix strategies, and higher perceived scaffolding for progressive challenge.
DOI: 10.6084/m9.figshare.30304580.v1
title: CoRemix: Supporting Online Learning in Scratch Community with Visual Flowchart and Generative AI

description: Online programming communities give novices places to explore computing through user-generated projects, but limited structure can hinder a steadily challenging learning path. Beginners often struggle to interpret key events and relationships in projects, connect them to core concepts, and remix practices. We present CoRemix, a generative-AI community support system that uses visual flowcharts to clarify project logic. CoRemix introduces a prompting pipeline paired with a visual-textual scaffold that guides learners in constructing flowcharts. We further incorporate static project analysis and retrieval-augmented generation (RAG) to raise the precision of large-language-model outputs. In technical evaluations, static analysis and RAG improved response quality. In a user study, CoRemix outperformed a baseline in helping learners understand complex projects, strengthen computing-concept skills, and report better learning experiences within online communities. These gains include clearer event sequencing, improved identification of relationships across sprites and scripts, stronger remix strategies, and higher perceived scaffolding for progressive challenge.
DOI: 10.13140/rg.2.1.2203.2486
title: First find of the Early Permian Lower Gondwana plant remains and Palynomorphs from the Chhongtash Formation (Upper Shyok Valley), Eastern Karakoram, India.
DOI: 10.15468/dl.bktvfu
title: Occurrence Download

description: A dataset containing 308341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coraciiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 0,60 0,60 30,30 30,30 0))"
 ]
}

 The dataset includes 308341 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060762-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ckpwk
title: Occurrence Download

description: A dataset containing 2947394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coraciiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 0,90 0,90 30,60 30,60 0))"
 ]
}

 The dataset includes 2947394 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060764-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17293013
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.48366/r1554380
title: Comparison of NLP4RE ID Cards

description: This ORKG comparison presents a curated collection of NLP4RE ID Cards — structured summaries of replication-relevant information — extracted from research papers in the domain of Natural Language Processing for Requirements Engineering (NLP4RE). Based on the framework proposed by Abualhaija et al. [1], each NLP4RE ID Card captures critical information across seven dimensions, including RE and NLP tasks, dataset details, annotation procedures, tool implementation, and evaluation strategies.

The comparison enables researchers, reviewers, and educators to:
• 🔍 Explore replication-readiness across diverse NLP4RE studies
• 🛠 Identify gaps in tool availability and dataset annotation
• 📊 Analyze trends in evaluation practices and reporting completeness
• 📚 Use the NLP4RE ID-Cards as educational resources or replication guides

By centralizing and standardizing replication-relevant information, this comparison contributes to the broader goals of Open Science and fosters reproducibility in the NLP4RE community.

[1] Abualhaĳa, S. et al. (2024). Replication in Requirements Engineering: The NLP for RE Case. ACM Trans. Softw. Eng. Methodol., 33(6).
DOI: 10.48428/adattar/d2qqqb
title: Mapping Artisanal and Small-scale Mining using Machine Learning: impacts of training sample collection strategies in light of point-based and spatially explicit testing

description: This repository contains the data used in the article “Mapping Artisanal and Small-scale Mining using Machine Learning: impacts of training sample collection strategies in light of point-based and spatially explicit testing.” The collection includes: - Landsat-9 multispectral imagery (acquired November 2024) - PRISMA hyperspectral imagery (acquired October 2024) Training shapefiles – five versions prepared with different data volumes and collection strategies: - orig (95 points) - ext1 (126 points) - ext2 (232 points) - ext_12 (263 points) - aug (794 points, generated through a region-growing algorithm in R 4.4.3) Testing shapefiles used for both point-based and spatially explicit accuracy assessments These datasets support the comparative analysis of multispectral and hyperspectral data for detecting ASM-related alteration zones in arid environments. Related analytical tools are available at: - https://github.com/ud-geoai/Spatial-Accuracy-Assessment-Tool - https://github.com/ud-geoai/Statistical-region-growing-by-vectorseeds.
DOI: 10.15468/dl.b93qgy
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Falconiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 0,-150 0,-150 30,-180 30,-180 0))"
 ]
}

 The dataset includes 571 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060820-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jvpzm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.69_1",
 "TaxonKey is Tropaeolum majus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060822-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gu57d
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnolia delavayi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 277 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060823-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scj45m
title: Occurrence Download

description: A dataset containing 4862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((1.62116 48.50406,2.0692 48.50406,2.0692 48.82725,1.62116 48.82725,1.62116 48.50406))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandridae",
 "Year 2010-2025"
 ]
}

 The dataset includes 4862 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060825-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpn8wh
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callistemon linearis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 114 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060828-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.4678.7681
title: 400 Рекомендуемых публикаций. Экология, окружающая среда. 2011-2015. Многие авторы. На русском языке, на английском языке. Библиография: цитирование, цитировали, автор цитируемых работ С.А.Остроумов: https://www.researchgate.net/publication/279523995;
DOI: 10.15468/dl.d7qkec
title: Occurrence Download

description: A dataset containing 27021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eretmochelys imbricata"
 ]
}

 The dataset includes 27021 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060826-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive106642.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106642.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098451.10fu
title: SH0098451.10FU

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: 10.13145/bacdive106643.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106643.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098452.10fu
title: SH0098452.10FU

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: 10.13145/bacdive106644.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098453.10fu
title: SH0098453.10FU

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: 10.13145/bacdive106644.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106645.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0098454.10fu
title: SH0098454.10FU

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: 10.13145/bacdive106645.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106646.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.