cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18232022
title: Dataset for "Driving sustainability: Green drivers and practices in the textile-fashion industry"

description: This dataset contains the survey data used in the study:

Real, J.C., Cepeda-Carrión, I., & Pérez-Bou, S. (2025).“Driving sustainability: Green drivers and practices in the textile-fashion industry”,Management Letters / Cuadernos de Gestión, 25(2), 73–88. https://doi.org/10.5295/cdg.252326jc

The dataset includes responses from 166 Spanish firms operating in the textile-fashion industry. Data were collected through a structured questionnaire administered to senior managers responsible for sustainability, operations, supply chain, quality or general management.

The survey measures three main groups of constructs:

1) GSCM drivers:- Environmental awareness- Regulatory requirements- Internal motivators- External pressure

2) Internal GSCM practices, divided into:- Process-oriented practices:  • Green production  • Green logistics  • Internal environmental management- Product-oriented practices:  • Eco-design  • Green packaging

3) GSCM performance:- Economic / financial performance- Environmental performance

All variables were measured using 7-point Likert scales adapted from validated instruments in the literature.

The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This dataset enables replication of the empirical results reported in the article and can be reused for further research on green supply chain management, sustainability drivers, and environmental and economic performance in firms within the textile-fashion sector.

No personally identifiable or confidential company information is included.
DOI: 10.5281/zenodo.18232021
title: Dataset for "Driving sustainability: Green drivers and practices in the textile-fashion industry"

description: This dataset contains the survey data used in the study:

Real, J.C., Cepeda-Carrión, I., & Pérez-Bou, S. (2025).“Driving sustainability: Green drivers and practices in the textile-fashion industry”,Management Letters / Cuadernos de Gestión, 25(2), 73–88. https://doi.org/10.5295/cdg.252326jc

The dataset includes responses from 166 Spanish firms operating in the textile-fashion industry. Data were collected through a structured questionnaire administered to senior managers responsible for sustainability, operations, supply chain, quality or general management.

The survey measures three main groups of constructs:

1) GSCM drivers:- Environmental awareness- Regulatory requirements- Internal motivators- External pressure

2) Internal GSCM practices, divided into:- Process-oriented practices:  • Green production  • Green logistics  • Internal environmental management- Product-oriented practices:  • Eco-design  • Green packaging

3) GSCM performance:- Economic / financial performance- Environmental performance

All variables were measured using 7-point Likert scales adapted from validated instruments in the literature.

The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This dataset enables replication of the empirical results reported in the article and can be reused for further research on green supply chain management, sustainability drivers, and environmental and economic performance in firms within the textile-fashion sector.

No personally identifiable or confidential company information is included.
DOI: 10.15156/bio/sh1410064.10fu
title: SH1410064.10FU

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/sh1410068.10fu
title: SH1410068.10FU

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/sh1410069.10fu
title: SH1410069.10FU

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: 10.25345/c5rb6wd25
title: MassIVE MSV000095019 - Identification of HBA fragment 111-132
title: Raw files (converted to OA format) from the identification of HBA 111-132
DOI: 10.15468/dl.g4frdb
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.49322 20.50271,-88.50678 20.50271,-88.50678 32.49729,-118.49322 32.49729,-118.49322 20.50271))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vauquelinia corymbosa subsp. angustifolia (Rydb.) W.J.Hess & Henrickson"
 ]
}

 The dataset includes 106 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294878-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptnw66
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kaempferia roscoeana Wall."
 ]
}

 The dataset includes 47 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034376-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcqdfs
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004706-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.diyz0r
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038505-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaccp4
title: Occurrence Download

description: A dataset containing 468856969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-163.30078 6.50391,38.49609 6.50391,38.49609 85.60547,-163.30078 85.60547,-163.30078 6.50391))",
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1990-2019"
 ]
}

 The dataset includes 468856969 records from 2464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261816-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15253503
title: Dataset: Strategic and Digital Enablers of Resilient Manufacturing and Sustainable Supply Chain Operations: The Mediating Role of Agility and Environmental Performance in Emerging Markets

description:  

This research investigates how key digital and strategic capabilities—predictive analytics capability (PAC), supplier digital integration (SDI), circular supply chain strategies (CSC), and technology-driven demand forecasting (TDDF)—influence resilience and sustainability in manufacturing and operations management within emerging ASEAN economies. The study further explores the mediating roles of operational agility and environmental performance in shaping outcomes across supply chain management (SCM). A structured Likert scale survey was conducted among 500 professionals in supply chain, manufacturing, and operations roles across Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. Respondents held mid-to senior-level management positions within manufacturing, logistics, and FMCG industries. Structural equation modeling (SEM) using SmartPLS 4.0 was employed to test the proposed framework. Results show that all four enablers (PAC, SDI, CSC, TDDF) significantly improve manufacturing and operational resilience and sustainability, both directly and via the mediating constructs. Operational agility notably mediates the influence of TDDF and CSC, while environmental performance bridges the relationship between PAC, SDI, and resilient supply chain outcomes. The dual mediation model accounts for a substantial proportion of the variance in operational and supply chain resilience. These findings underscore the critical role of agility and environmental sustainability in modern manufacturing and operations strategy. The study provides evidence that integrating digital transformation with circular supply chain principles is essential for long-term resilience in emerging market contexts. This paper contributes a validated, comprehensive model tailored for supply chain management in Southeast Asia, offering strategic insights for practitioners, academics, and policymakers.
DOI: 10.5281/zenodo.15253504
title: Dataset: Strategic and Digital Enablers of Resilient Manufacturing and Sustainable Supply Chain Operations: The Mediating Role of Agility and Environmental Performance in Emerging Markets

description:  

This research investigates how key digital and strategic capabilities—predictive analytics capability (PAC), supplier digital integration (SDI), circular supply chain strategies (CSC), and technology-driven demand forecasting (TDDF)—influence resilience and sustainability in manufacturing and operations management within emerging ASEAN economies. The study further explores the mediating roles of operational agility and environmental performance in shaping outcomes across supply chain management (SCM). A structured Likert scale survey was conducted among 500 professionals in supply chain, manufacturing, and operations roles across Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. Respondents held mid-to senior-level management positions within manufacturing, logistics, and FMCG industries. Structural equation modeling (SEM) using SmartPLS 4.0 was employed to test the proposed framework. Results show that all four enablers (PAC, SDI, CSC, TDDF) significantly improve manufacturing and operational resilience and sustainability, both directly and via the mediating constructs. Operational agility notably mediates the influence of TDDF and CSC, while environmental performance bridges the relationship between PAC, SDI, and resilient supply chain outcomes. The dual mediation model accounts for a substantial proportion of the variance in operational and supply chain resilience. These findings underscore the critical role of agility and environmental sustainability in modern manufacturing and operations strategy. The study provides evidence that integrating digital transformation with circular supply chain principles is essential for long-term resilience in emerging market contexts. This paper contributes a validated, comprehensive model tailored for supply chain management in Southeast Asia, offering strategic insights for practitioners, academics, and policymakers.
DOI: 10.15468/dl.yz6ftn
title: Occurrence Download

description: A dataset containing 4345155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Insecta, Plantae)"
 ]
}

 The dataset includes 4345155 records from 1332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001103-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnsh3c
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyles lineata"
 ]
}

 The dataset includes 320 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001176-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx5q6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Anchoa compressa"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001177-260225131425191/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14962669
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18777480
title: Quantum Information Selects Gravity:  The Complete Story
DOI: 10.5281/zenodo.18777481
title: Quantum Information Selects Gravity:  The Complete Story
DOI: 10.5061/dryad.np5hqc08f
title: Data from: Behavioural responses to radio-tag attachment in butterflies

description: This dataset contains individual-level records of butterflies collected to
 document behavioural responses to attached radio transmitters, especially
 cases of active tag removal. The data include morphological measurements
 and recorded behavioural outcomes across eight butterfly species under
 controlled conditions, complemented by a representative video recording
 documenting tag removal behaviour. The dataset can be reused for studies
 on insect biologging, behavioural responses to animal-borne tracking
 devices, and methodological assessments in telemetry research. The dataset
 contains no personal or sensitive information.
description: # Data from: Behavioural responses to radio-tag attachment in butterflies
 Dataset DOI:
 [10.5061/dryad.np5hqc08f](https://doi.org/10.5061/dryad.np5hqc08f) ##
 Description of the data and file structure This dataset contains
 individual-level data for 89 butterflies from eight tropical species used
 to assess behavioural responses to radio-tag attachment under controlled
 experimental conditions. The dataset consists of an individual-level data
 file (butterfly_tag_removal_data.csv) and an accompanying example video
 (video_S1_butterfly_tag_removal.mp4). The video shows a flight sequence of
 a male *Morpho helenor* at 0.25× speed, in which the butterfly removes the
 attached radio tag, illustrating the tag-removal behaviour described in
 the associated manuscript. ### Files and variables #### File:
 butterfly_tag_removal_data.csv **Description:**  ##### Variables * id:
 Unique numeric identifier for each butterfly. * species: Species name. *
 sex: Sex of the individual (m = male, w = female, NA = not determined). *
 body_mass_g: Body mass in grams. * forewing_length_mm: Forewing length in
 millimetres. * removal_attempt: Binary variable indicating whether a tag
 removal attempt was observed (1 = yes, 0 = no). * removal_success: Binary
 variable indicating whether tag removal was successful (1 = yes, 0 = no).
 #### File: video_S1_butterfly_tag_removal.mp4 **Description:** Example
 video showing a flight sequence of a male *Morpho helenor* at 0.25× speed,
 in which the butterfly removes the attached radio tag.
DOI: 10.15468/dl.m7w7ay
title: Occurrence Download

description: A dataset containing 12959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Stillingia"
 ]
}

 The dataset includes 12959 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001178-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3wtzs
title: Occurrence Download

description: A dataset containing 105239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pionus menstruus",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105239 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001122-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysd885
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Saint Kitts and Nevis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078234-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwmoeh
title: Occurrence Download

description: A dataset containing 14362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eliomys quercinus (Linnaeus, 1766)"
 ]
}

 The dataset includes 14362 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013889-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0foe8t
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003054-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1zeiyx
title: Occurrence Download

description: A dataset containing 29712 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipodomys ordii Woodhouse, 1853"
 ]
}

 The dataset includes 29712 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013891-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0zjla6
title: Occurrence Download

description: A dataset containing 1396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrocebus patas (Schreber, 1774)"
 ]
}

 The dataset includes 1396 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013879-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zo7wg
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003055-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg8u6y
title: Occurrence Download

description: A dataset containing 2386507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apidae, Halictidae, Megachilidae, Andrenidae, Colletidae, Melittidae, Stenotritidae)",
 "Country is United States of America",
 "Year is greater than or equal to 1923",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2386507 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057161-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.