cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dm6f6q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Reptilia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071390-251120083545085/datasets/export for details.
DOI: 10.15468/dl.n6zq97
title: Occurrence Download

description: A dataset containing 4298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex albicans",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4298 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071391-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240534v1-194506
title: HIFLD OPEN Prison Boundaries

description: The prison boundary feature class contains secure detention facilities. These facilities range in jurisdiction from federal(excluding military) to local governments. Polygon geometry is used to describe the extent of where the incarcerated population is located (fence lines or building footprints). This feature class's attribution describes many physical and social characteristics of detention facilities in the United States and some of its territories. The attribution for this feature class was populated by open source search methodologies of authoritative sources. Changes from the previous version include 80 records added, 132 closed, 30 reopened, and 363 removed.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.5281/zenodo.18135653
title: MAPLE test data
DOI: 10.5281/zenodo.18135652
title: MAPLE test data
DOI: 10.15468/dl.md62a8
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum anceps",
 "HasCoordinate is true"
 ]
}

 The dataset includes 672 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071394-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/89fud
title: Computer Vision, Machine Learning, and Deep Learning for Wood and Timber Products: A Scopus-Based Bibliometric and Systematic Mapping Review (1983–2026, early access)

description: Computer vision and image-based analysis have become core technologies for automation, quality control, and optimization in industrial wood and timber processing. Since early defect-detection systems in the 1980s, the field has evolved from rule-based image processing toward machine learning and, more recently, deep learning architectures capable of real-time, high-accuracy performance.

Despite rapid growth—particularly after the adoption of deep learning post-2016—the literature remains fragmented across application domains, sensing modalities, and methodological paradigms. Existing reviews have typically focused on narrow subdomains (e.g., defect detection, species identification, or CT imaging), limited time windows, or single methodological strands. A comprehensive, long-term bibliometric and systematic mapping analysis covering the full industrial scope has been lacking.

This review addresses that gap by quantitatively synthesizing Scopus-indexed research on computer vision, machine learning, and deep learning applied to wood and timber products, spanning four decades of development.
DOI: 10.13140/rg.2.2.30266.45767
title: Randomized Complete Block Design
DOI: 10.6084/m9.figshare.30992689
title: Physiological and proteomic traits underlying differential growth in <i>Cherax quadricarinatus</i>

description: This Excel file contains the primary data supporting the study on differential growth in juvenile Cherax quadricarinatus. Separate worksheets include: (i) individual and progeny-level body weight data; (ii) digestive enzyme activities measured in the hepatopancreas; (iii) energy reserve data (lipids, glycogen, and proteins) in hepatopancreas and pleon muscle; and (iv) lists of differentially expressed proteins obtained from proteomic analyses.
DOI: 10.6084/m9.figshare.30992689.v1
title: Physiological and proteomic traits underlying differential growth in <i>Cherax quadricarinatus</i>

description: This Excel file contains the primary data supporting the study on differential growth in juvenile Cherax quadricarinatus. Separate worksheets include: (i) individual and progeny-level body weight data; (ii) digestive enzyme activities measured in the hepatopancreas; (iii) energy reserve data (lipids, glycogen, and proteins) in hepatopancreas and pleon muscle; and (iv) lists of differentially expressed proteins obtained from proteomic analyses.
DOI: 10.5281/zenodo.18135685
title: Datos geoespaciales de sitios candidatos para la localización de un relleno sanitario: Aptitud territorial y coordenadas.

description: Este conjunto de datos contiene la información espacial y atributos de las áreas clasificadas como 'Muy Adecuadas' para la localización de un relleno sanitario. Incluye identificadores de polígonos, puntajes de aptitud, área en hectáreas y coordenadas centrales (Este/Norte) resultantes del proceso de conversión raster a vector y filtrado espacial.
DOI: 10.25740/fd733kb4905
title: Persistent loss of animal diversity on a rocky shore over nine decades and across multiple investigators (data and code)

description: Long-term ecological monitoring inevitably requires a ‘passing of the quadrat’ from one investigator to another. Here we present the challenge and opportunity of inferring biodiversity change over time and across investigators using a rocky intertidal case study. The intertidal transect was first surveyed in 1931-1933, then resurveyed in detail in 1993. After 1993, the transect was surveyed 16 more times, with surveys nested within four distinct investigator eras. We addressed two goals with our dataset. First, we used a causal framework to detect temporal change in biodiversity (species richness, Hill-Shannon and Hill-Simpson diversity, and species evenness) in the context of investigator era and then attribute biodiversity change to seawater temperature. Second, we tested the hypothesis that population change in abundance was associated with the geographic range of species. Over thirty years (1993-2023), species richness showed no linear trend but was associated with investigator era; we hypothesize that sampling effort contributed to this effect. In contrast, we observed weak linear declines in the diversity of common taxa (Hill-Shannon), dominant taxa (Hill-Simpson), and evenness over the recent thirty years, but no evidence of investigator effects. We estimated a moderate negative effect of maximum sea surface temperature on Hill-Shannon diversity (-0.4 common taxa C-1). Relative to the historical baseline in the 1930s, there was no evidence for change in richness but strong evidence for change in diversity metrics. On average, Hill-Shannon diversity declined by 41-61%, Hill-Simpson diversity declined by 32-56%, and species evenness declined by 41-68% since the 1930s. Declines in diversity were associated with the rise of a few numerically dominant species and declines of many other species. On average, species with a southern geographic range increased in abundance more than coastwide species, reenforcing previous work on the historical transect that demonstrated a fingerprint of seawater warming. Taken together, this case study emphasizes the value of marine stations in providing a venue for sustained periodic ecological monitoring at small spatial scales, long duration, and fine taxonomic resolution.
DOI: 10.34740/kaggle/dsv/14376397
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.76ff7q
title: Occurrence Download

description: A dataset containing 1110584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1110584 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071392-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m2g7a
title: Occurrence Download

description: A dataset containing 6816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.17786 4.67109,-74.16338 4.67109,-74.16338 4.67986,-74.17786 4.67986,-74.17786 4.67109))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6816 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2ug8g
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Lontra canadensis kodiacensis"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071399-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18135707
title: 600-lost-abroad covers A
DOI: 10.5281/zenodo.18135706
title: 600-lost-abroad covers A
DOI: 10.6084/m9.figshare.30992701
title: Supplementary_Material_Kruskal_Wallis_Test

description: Supplementary Material A
DOI: 10.6084/m9.figshare.30992701.v1
title: Supplementary_Material_Kruskal_Wallis_Test

description: Supplementary Material A
DOI: 10.5281/zenodo.18135694
title: Peirce Existential Graphs VLM Evaluation Dataset
DOI: 10.5281/zenodo.16113284
title: Peirce Existential Graphs VLM Evaluation Dataset
DOI: 10.5281/zenodo.18135684
title: Datos geoespaciales de sitios candidatos para la localización de un relleno sanitario: Aptitud territorial y coordenadas.

description: Este conjunto de datos y la imagen contiene la información espacial y atributos de las áreas clasificadas como 'Muy Adecuadas' para la localización de un relleno sanitario. Incluye identificadores de polígonos, puntos de aptitud, área en hectáreas y coordinadas centrales (Este/Norte) resultantes del proceso de conversión raster a vector y filtrado espacial.
DOI: 10.5281/zenodo.18135711
title: Datos geoespaciales de sitios candidatos para la localización de un relleno sanitario: Aptitud territorial y coordenadas.

description: Este conjunto de datos y la imagen contiene la información espacial y atributos de las áreas clasificadas como 'Muy Adecuadas' para la localización de un relleno sanitario. Incluye identificadores de polígonos, puntos de aptitud, área en hectáreas y coordinadas centrales (Este/Norte) resultantes del proceso de conversión raster a vector y filtrado espacial.
DOI: 10.15468/dl.edcnxv
title: Occurrence Download

description: A dataset containing 6223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Lontra canadensis"
 ]
}

 The dataset includes 6223 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071400-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.18522.40644
title: fc data package v1.0.0 2026-01-02.tar
DOI: 10.6084/m9.figshare.30992704
title: Supplementary_Material_Dunn_Test

description: Supplementary Material B
DOI: 10.6084/m9.figshare.30992704.v1
title: Supplementary_Material_Dunn_Test

description: Supplementary Material B
DOI: 10.5281/zenodo.18135724
title: A Reflective Methodological Framework for Human–AI Collaboration in High-Stakes Contexts

description: Human–AI collaboration; High-stakes decision making; Generative AI; Large language models; AI hallucinations; Verification methods; Human-in-the-loop; Responsible AI; Epistemic risk; Methodological frameworks
DOI: 10.5281/zenodo.18135725
title: A Reflective Methodological Framework for Human–AI Collaboration in High-Stakes Contexts

description: Human–AI collaboration; High-stakes decision making; Generative AI; Large language models; AI hallucinations; Verification methods; Human-in-the-loop; Responsible AI; Epistemic risk; Methodological frameworks
DOI: 10.15468/dl.rbd9ta
title: Occurrence Download

description: A dataset containing 369573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 369573 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071393-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz53xh
title: Occurrence Download

description: A dataset containing 1127536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 1127536 records from 1781 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071395-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0212555.10fu
title: SH0212555.10FU

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/sh0212556.10fu
title: SH0212556.10FU

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: 10.15468/dl.kkgdsg
title: Occurrence Download

description: A dataset containing 751183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danaus plexippus"
 ]
}

 The dataset includes 751183 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002285-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0212557.10fu
title: SH0212557.10FU

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/sh0212558.10fu
title: SH0212558.10FU

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/sh0212559.10fu
title: SH0212559.10FU

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/sh0212560.10fu
title: SH0212560.10FU

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/sh0212561.10fu
title: SH0212561.10FU

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.