cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18138573
title: Why Do Some Digital Transformation Initiatives Succeed? Evidence from Indonesia's Pulp and Paper Sector

description: Indonesia’s pulp and paper industry is under increasing pressure to advance digital transformation to improve sustainability and operational performance. However, empirical evidence on the organizational factors that enable this transition remains limited. This study aims to empirically examine whether digital transformation in Indonesia’s pulp and paper industry is primarily driven by leadership influence or workforce capabilities, addressing the limited sector-specific evidence in developing economies. Applying a quantitative research design, data were collected from 183 professionals through purposive sampling and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that digital transformation in this sector is predominantly driven by workforce capability. Digital literacy is the strongest predictor (β = 0.513), indicating that employees’ digital competence plays a central role in shaping transformation outcomes. Digital infrastructure also exerts a significant but more moderate influence (β = 0.189), functioning as an enabling condition rather than a distinguishing factor. Digital leadership, however, demonstrates no significant direct effect (β = 0.127), suggesting a gap between managerial intent and the practical execution of digital initiatives. These results highlight the importance of strengthening human capital development and addressing infrastructure limitations to accelerate digital transformation across the pulp and paper industry.
DOI: 10.15468/dl.6tuxez
title: Occurrence Download

description: A dataset containing 2760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Country is one of (Austria, Croatia, Hungary, Serbia, Slovenia)",
 "TaxonKey is Aedes japonicus"
 ]
}

 The dataset includes 2760 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071683-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzektk
title: Occurrence Download

description: A dataset containing 7164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coturnix japonica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 7164 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071684-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycjv3e
title: Occurrence Download

description: A dataset containing 1451683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Fossil, Specimen, Material sample, Human Observation, Machine Observation, Observation)",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NT, LC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 1991-2020"
 ]
}

 The dataset includes 1451683 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071668-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etfdju
title: Occurrence Download

description: A dataset containing 336693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((5.06953 51.79451,5.83734 51.79451,5.83734 52.25971,5.06953 52.25971,5.06953 51.79451))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 2016-2026"
 ]
}

 The dataset includes 336693 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071670-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18138611
title: Unified IoT Botnet Behavior and Traffic Analysis Dataset
DOI: 10.5281/zenodo.18138612
title: Unified IoT Botnet Behavior and Traffic Analysis Dataset
DOI: 10.6084/m9.figshare.30993461
title: Sustainable Development Path of Traditional High-Pollution Bleaching Process for Animal Fibers: Key Mechanisms, Critical Influencing Factors and Bottlenecks—A Review

description: Animal fiber is an important raw material for textiles. Dark animal fibers cannot be directly dyed by light colors, which is difficult to meet the demand for color diversity in clothing. Therefore, bleaching is an important step in textile processing of dark animal fiber. Traditional bleaching technology has some problems such as large water consumption, long processing time and heavy metal ion pollution. This characteristic of high energy consumption, high water consumption and high pollution is in sharp contradiction with the global textile industry’s goal of energy conservation and emission reduction. Especially under the backdrop of Carbon Peaking and Carbon Neutrality Goal policy, the traditional bleaching process is now facing severe restrictions from environmental protection regulations. However, there are still deficiencies in systematically and deeply summarizing the bleaching methods for dark animal fibers from the perspectives of sustainability and environmental protection. Herein, the chemical structure of eumelanin and the essence of bleaching were elucidated. The bleaching mechanism of different dark animal fiber bleaching methods was systematically summarized, environmental friendliness and current challenges of these methods were deeply analyzed. Finally, the future outlook is proposed for the rational development of dark animal fiber bleaching method with efficiency and sustainability. The source of color and the essence of bleaching of dark animal fiber are introduced.The bleaching methods for dark animal fiber are summarized and analyzed from the perspective of the bleaching mechanism.The sustainability and environmental friendliness of different bleaching methods are in-depth analyzed.The challenges and perspectives focus on green bleaching methods of animal fiber to provide a reference for the green transformation of textile industry. The source of color and the essence of bleaching of dark animal fiber are introduced. The bleaching methods for dark animal fiber are summarized and analyzed from the perspective of the bleaching mechanism. The sustainability and environmental friendliness of different bleaching methods are in-depth analyzed. The challenges and perspectives focus on green bleaching methods of animal fiber to provide a reference for the green transformation of textile industry.
DOI: 10.6084/m9.figshare.30993461.v1
title: Sustainable Development Path of Traditional High-Pollution Bleaching Process for Animal Fibers: Key Mechanisms, Critical Influencing Factors and Bottlenecks—A Review

description: Animal fiber is an important raw material for textiles. Dark animal fibers cannot be directly dyed by light colors, which is difficult to meet the demand for color diversity in clothing. Therefore, bleaching is an important step in textile processing of dark animal fiber. Traditional bleaching technology has some problems such as large water consumption, long processing time and heavy metal ion pollution. This characteristic of high energy consumption, high water consumption and high pollution is in sharp contradiction with the global textile industry’s goal of energy conservation and emission reduction. Especially under the backdrop of Carbon Peaking and Carbon Neutrality Goal policy, the traditional bleaching process is now facing severe restrictions from environmental protection regulations. However, there are still deficiencies in systematically and deeply summarizing the bleaching methods for dark animal fibers from the perspectives of sustainability and environmental protection. Herein, the chemical structure of eumelanin and the essence of bleaching were elucidated. The bleaching mechanism of different dark animal fiber bleaching methods was systematically summarized, environmental friendliness and current challenges of these methods were deeply analyzed. Finally, the future outlook is proposed for the rational development of dark animal fiber bleaching method with efficiency and sustainability. The source of color and the essence of bleaching of dark animal fiber are introduced.The bleaching methods for dark animal fiber are summarized and analyzed from the perspective of the bleaching mechanism.The sustainability and environmental friendliness of different bleaching methods are in-depth analyzed.The challenges and perspectives focus on green bleaching methods of animal fiber to provide a reference for the green transformation of textile industry. The source of color and the essence of bleaching of dark animal fiber are introduced. The bleaching methods for dark animal fiber are summarized and analyzed from the perspective of the bleaching mechanism. The sustainability and environmental friendliness of different bleaching methods are in-depth analyzed. The challenges and perspectives focus on green bleaching methods of animal fiber to provide a reference for the green transformation of textile industry.
DOI: 10.15468/dl.p8b5kq
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((113.3 25.8,114.5 25.8,114.5 27.6,113.3 27.6,113.3 25.8))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 423 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071685-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17370522
title: NoorGhateh: A Benchmark Dataset for Training and Evaluating Arabic Morphological Analysis Systems

description: Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmentation Tools in the Hadith Domain

📘 Overview

Noor-Ghateh is a manually annotated Classical Arabic morphological dataset derived from the jurisprudential text Sharayeʿ al-Islam.The dataset provides fine-grained clitic segmentation, 15 morphological attributes, and gold-standard human annotation, making it a valuable benchmark for:





Morphological analyzers




Segmentation systems




Lemmatizers & root extractors




Classical Arabic NLP research




Benchmarking domain sensitivity across analyzers



The dataset includes 223,690 tokens, with a publicly available 313-token sample released in XML, JSON, and CSV-embedded-XML formats.

🧱 Data Format

1. XML Format (Primary)

The XML structure uses <Base> → <Root> → <word> hierarchy.Each <word> element includes 14 morphological attributes such as:





Seq — morpheme order




Slice — surface form




Affix — prefix/suffix/stem




Pos, Lemma, Case, Categ, DervT, Num, Root




TOV, Time, Voic, Kol, Lang



2. JSON Format

Direct JSON mapping of the XML hierarchy for machine learning pipelines.

3. CSV-embedded XML

Each row contains:Surface form — Segmented form — XML annotation block

🎯 Intended Use Cases





Training and evaluating morphological segmentation systems




Testing classical Arabic analyzers (Farasa, CAMeL Tools, ALP, MADAMIRA)




Building lemmatizers and root extractors




Domain-sensitivity analysis




Digital humanities research in Hadith & jurisprudence




Linguistic studies of Classical Arabic morphology
DOI: 10.5281/zenodo.18138582
title: NoorGhateh: A Benchmark Dataset for Training and Evaluating Arabic Morphological Analysis Systems

description: Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmentation Tools in the Hadith Domain

📘 Overview

Noor-Ghateh is a manually annotated Classical Arabic morphological dataset derived from the jurisprudential text Sharayeʿ al-Islam.The dataset provides fine-grained clitic segmentation, 15 morphological attributes, and gold-standard human annotation, making it a valuable benchmark for:





Morphological analyzers




Segmentation systems




Lemmatizers & root extractors




Classical Arabic NLP research




Benchmarking domain sensitivity across analyzers



The dataset includes 223,690 tokens, with a publicly available 313-token sample released in XML, JSON, and CSV-embedded-XML formats.

🧱 Data Format

1. XML Format (Primary)

The XML structure uses <Base> → <Root> → <word> hierarchy.Each <word> element includes 14 morphological attributes such as:





Seq — morpheme order




Slice — surface form




Affix — prefix/suffix/stem




Pos, Lemma, Case, Categ, DervT, Num, Root




TOV, Time, Voic, Kol, Lang



2. JSON Format

Direct JSON mapping of the XML hierarchy for machine learning pipelines.

3. CSV-embedded XML

Each row contains:Surface form — Segmented form — XML annotation block

🎯 Intended Use Cases





Training and evaluating morphological segmentation systems




Testing classical Arabic analyzers (Farasa, CAMeL Tools, ALP, MADAMIRA)




Building lemmatizers and root extractors




Domain-sensitivity analysis




Digital humanities research in Hadith & jurisprudence




Linguistic studies of Classical Arabic morphology
DOI: 10.15156/bio/sh0213321.10fu
title: SH0213321.10FU

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: 10.1594/pangaea.987916
title: Meteorological observations during POLARSTERN cruise PS134

description: The meteorological observatory Polarstern issues synoptical reports every 3 hours during times of ship operation. The reports are distritubed via global networks of the World Meteorological Organisation. When designated weather observers are onboard manual observations are included in the reports. For times that are not covered by an observer automatic reports are issued. All observations are made in compliance with standards of the World Meteorological Organisation and those of the German Weather Service (DWD). This dataset compiles all synoptical reports issued during Polarstern cruise PS134.
DOI: 10.15156/bio/sh0213322.10fu
title: SH0213322.10FU

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: 10.1594/pangaea.987917
title: Meteorological observations during POLARSTERN cruise PS130/1

description: The meteorological observatory Polarstern issues synoptical reports every 3 hours during times of ship operation. The reports are distritubed via global networks of the World Meteorological Organisation. When designated weather observers are onboard manual observations are included in the reports. For times that are not covered by an observer automatic reports are issued. All observations are made in compliance with standards of the World Meteorological Organisation and those of the German Weather Service (DWD). This dataset compiles all synoptical reports issued during Polarstern cruise PS130/1.
DOI: 10.15156/bio/sh0213323.10fu
title: SH0213323.10FU

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: 10.1594/pangaea.987921
title: Meteorological observations during POLARSTERN cruise PS132

description: The meteorological observatory Polarstern issues synoptical reports every 3 hours during times of ship operation. The reports are distritubed via global networks of the World Meteorological Organisation. When designated weather observers are onboard manual observations are included in the reports. For times that are not covered by an observer automatic reports are issued. All observations are made in compliance with standards of the World Meteorological Organisation and those of the German Weather Service (DWD). This dataset compiles all synoptical reports issued during Polarstern cruise PS132.
DOI: 10.15156/bio/sh0213324.10fu
title: SH0213324.10FU

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: 10.1594/pangaea.987922
title: Meteorological observations during POLARSTERN cruise PS135/1

description: The meteorological observatory Polarstern issues synoptical reports every 3 hours during times of ship operation. The reports are distritubed via global networks of the World Meteorological Organisation. When designated weather observers are onboard manual observations are included in the reports. For times that are not covered by an observer automatic reports are issued. All observations are made in compliance with standards of the World Meteorological Organisation and those of the German Weather Service (DWD). This dataset compiles all synoptical reports issued during Polarstern cruise PS135/1.
DOI: 10.15156/bio/sh0213325.10fu
title: SH0213325.10FU

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/sh0213326.10fu
title: SH0213326.10FU

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: 10.1594/pangaea.987923
title: Meteorological observations during POLARSTERN cruise PS135/2

description: The meteorological observatory Polarstern issues synoptical reports every 3 hours during times of ship operation. The reports are distritubed via global networks of the World Meteorological Organisation. When designated weather observers are onboard manual observations are included in the reports. For times that are not covered by an observer automatic reports are issued. All observations are made in compliance with standards of the World Meteorological Organisation and those of the German Weather Service (DWD). This dataset compiles all synoptical reports issued during Polarstern cruise PS135/2.