cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mcr5n3
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus ponderosa"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012579-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18488435
title: IODP Expedition 363 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18488436
title: IODP Expedition 363 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.6084/m9.figshare.31257499.v1
title: Supplemental Materials for 'A Model for Pancreatic Cancer Risk Stratification Across the Diabetes Timeline'

description: Supplemental methods, tables, figures, and Excel-based risk calculator for the manuscript "A Model for Pancreatic Cancer Risk Stratification Across the Diabetes Timeline" submitted to The Journal of Clinical Endocrinology & Metabolism. Contents: - Supplemental Methods: Technical details of model optimization - Supplemental Tables: Operating characteristics and winsorization impact - Excel Calculator: Interactive tool for calculating pancreatic cancer risk scores
DOI: 10.7281/t1dwda4m
title: The Cyberbiosecurity Self-Assessment Laboratory Tool (Cyber-SLAT)

description: Cyberbiosecurity is an emerging discipline that addresses the interaction of cybersecurity and biosecurity, recognizing that modern biological research increasingly depends on digital infrastructure. For laboratory facilities, priority risks within cyberbiosecurity stem from advancements in emerging biotechnologies and Dual Use Research of Concern (DURC), including artificial intelligence, next-generation sequencing, synthetic biology, and cloud-based laboratory automation. Cyberbiosecurity also addresses risks stemming from increased use and reliance on linked technologies within laboratory settings, such as, laboratory information management systems (LIMS) networked scientific instruments, supply chain management platforms and Internet of Things (IoT) devices that monitor environmental conditions in containment facilities. Understanding cyberbiosecurity threats and vulnerabilities in digital infrastructure systems within laboratory facilities is critical to protecting sensitive biological data and intellectual property and increasing biorisk management more broadly.

The Cyberbiosecurity Self-Assessment Laboratory Tool (Cyber-SLAT) seeks to assist low-and medium- resourced laboratory setting in improving cyberbiosecurity awareness and capacity by identifying laboratory- specific cyberbiosecurity risks stemming from high-consequence pathogens, measuring capacities, and developing corrective actions. It expands on the Elizabeth R. Griffin Self-Assessment Tool (S-LAT) which was designed in 2017 for the self-assessment of biorisk management functions in research or diagnostic laboratories for public, environmental, and veterinary health. The 2025 version comprises of updated biorisk management modules introduced in the S-LAT and features a new cyberbiosecurity self-assessment tab focused on cyberbiosecurity risk evaluation, planning and management, infrastructure and systems, and incidence response. Completing the Cyber-SLAT encourages collaboration amongst laboratory staff and technicians, biosafety officers, and laboratory and facilities leadership, with input from information and communications technology (ICT) or equivalent staff, including IT support specialists, database administrators, and network/systems administrators. Like its predecessors, the Cyber-SLAT contains an automatically generated action plan that facilities can sue to identify gaps, and determine short-, mid-, and long-term activities to strengthen laboratory biorisk and cyberbiosecurity capacity. Individuals may identify the level of priority (low, medium, or high) for a particular action at their discretion, determine a timeline for its completion, and assign who is responsible for completing the action. The tool is available in English and French.
DOI: 10.5065/d6s180jm
title: Global volcanic aerosol properties derived from emissions using CESM(WACCM)
DOI: 10.15468/dl.mxebsk
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Uruguay, Brazil)",
 "Geometry POLYGON((-100.86991 -55.55635,-23.13009 -55.55635,-23.13009 -24.44365,-100.86991 -24.44365,-100.86991 -55.55635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Latrodectus mirabilis"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012583-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18488423
title: Information transfer cycle of Content creation
DOI: 10.5281/zenodo.18488424
title: Information transfer cycle of Content creation
DOI: 10.34740/kaggle/dsv/14735118
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vqdeu5
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nigripes"
 ]
}

 The dataset includes 1925 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012584-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60905/gm4yc4
title: Renuncian dos profesores de la U. de Antioquia. Inconformes con la situaci��n

description: &lt;p&gt; La profesora de Antropolog��a Elena Rojas y el profesor de ingenier��a Alberto Le��n Uribe, presentan renuncia a sus cargos debido a la crisis de la universidad en los ��ltimos meses. La profesora Elena denuncia que ha sido v��ctima de persecuci��n argumentando en su carta que, ���Nunca antes, en mi vida profesional y estudiantil, hab��a visto una persecuci��n tan descarada y deshonesta para un departamento que como el de Antropolog��a [...] Ser perseguido por querer ser objetivo���. Por su parte el profesor Alberto en su carta manifiesta que la raz��n de su renuncia es por la mala administraci��n de la universidad y el manejo a los problemas por parte de la Asociaci��n de Profesores, ���No estoy de acuerdo en absoluto con las directivas acad��micas de la Universidad ni con la pol��tica de oportunismo que predica la Asociaci��n de profesores, la cual s��lo patrocina la mediocridad���.&lt;/p&gt;
description: CONTEXTO DE LA NOTICIA: Reuni��n de cancilleres de Colombia y Venezuela; Control militar en Barranca; La ANAPO reta al M-19; acordadas pol��ticas para primer presupuesto de L��pez; Paro en Puerto Berrio
DOI: 10.6084/m9.figshare.31242304
title: Cribado de Excel

description: Tabla de Cribado
DOI: 10.6084/m9.figshare.31242304.v3
title: Cribado de Excel

description: Tabla de Cribado
DOI: 10.6084/m9.figshare.31242304.v2
title: Cribado de Excel

description: Tabla de Cribado
DOI: 10.15468/dl.hjqqhc
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - LFHM - Megève-Inventaires Aéro Biodiversité - LFHM - Point d'EPOC 1"
 ]
}

 The dataset's 14 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012578-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3a8ky
title: Occurrence Download

description: A dataset containing 19330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus"
 ]
}

 The dataset includes 19330 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012586-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31258639
title: Base de datos de una encuesta sobre el conocimiento y percepción de los niños sobre la entomología en Yucatán, México.

description: Yucatan, Mexico, is a region where vector-borne diseases are commonly found. It is crucial for children to be able to distinguish between dangerous arthropods and those that are beneficial to the environment and humans. The study's goal was to assess schoolchildren's knowledge of entomology. Data were collected between October 2023 and June 2024. An intervention study was conducted in basic education schools. At the beginning of the study, a visual diagnostic test was applied to measure the children's knowledge about insects and arachnids. The intervention consisted of giving talks about the biology of arthropods, with emphasis on those that suck blood and transmit pathogens. In addition, the schoolchildren, accompanied by entomologists, collected arthropods in the school yard and observed them under a microscope. After the intervention, the same visual diagnostic test was applied to evaluate change in knowledge of entomology.An intervention study was conducted in basic education schools. Contact was established with the headteachers of four basic education schools (primaries) of the Secretariat of Public Education of Yucatan, Mexico. The objectives of the project were explained. The headteachers and teachers agreed to participate voluntarily and gave their consent to the study. While the headteachers consented on the schoolchildren's behalf. The data described here were collected using a visual diagnostic test. The images of the arthropods that appear in the tests were taken from the entomological collection of the Laboratorio de Arbovirología of the Centro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán. The tests (Figure 1 and 2) were completed by 4th and 5th grade students from basic education schools (primary). In the first item, we presented the children with figures of arthropods and asked them to identify which ones were insects and arachnids. In the second item, we displayed figures of insects and arachnids and instructed them to draw a line connecting each arthropod with its common name. The visual diagnostic test was applied before and after an educational intervention to evaluate the knowledge of schoolchildren about entomology. The intervention also included collecting arthropods in the school yard. The entomologists divided the students into groups and collected arthropods in the schoolyard. The arthropods were collected with entomological forceps and placed in 25-ml plastic tubes, to which 70% alcohol was added. The tubes were labeled with the date, school, and grade level. To finish the activity, the children observed the arthropods under stereoscopes (Carl Zeiss Microlmaging GmbH®).
DOI: 10.6084/m9.figshare.31258639.v1
title: Base de datos de una encuesta sobre el conocimiento y percepción de los niños sobre la entomología en Yucatán, México.

description: Yucatan, Mexico, is a region where vector-borne diseases are commonly found. It is crucial for children to be able to distinguish between dangerous arthropods and those that are beneficial to the environment and humans. The study's goal was to assess schoolchildren's knowledge of entomology. Data were collected between October 2023 and June 2024. An intervention study was conducted in basic education schools. At the beginning of the study, a visual diagnostic test was applied to measure the children's knowledge about insects and arachnids. The intervention consisted of giving talks about the biology of arthropods, with emphasis on those that suck blood and transmit pathogens. In addition, the schoolchildren, accompanied by entomologists, collected arthropods in the school yard and observed them under a microscope. After the intervention, the same visual diagnostic test was applied to evaluate change in knowledge of entomology.An intervention study was conducted in basic education schools. Contact was established with the headteachers of four basic education schools (primaries) of the Secretariat of Public Education of Yucatan, Mexico. The objectives of the project were explained. The headteachers and teachers agreed to participate voluntarily and gave their consent to the study. While the headteachers consented on the schoolchildren's behalf. The data described here were collected using a visual diagnostic test. The images of the arthropods that appear in the tests were taken from the entomological collection of the Laboratorio de Arbovirología of the Centro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán. The tests (Figure 1 and 2) were completed by 4th and 5th grade students from basic education schools (primary). In the first item, we presented the children with figures of arthropods and asked them to identify which ones were insects and arachnids. In the second item, we displayed figures of insects and arachnids and instructed them to draw a line connecting each arthropod with its common name. The visual diagnostic test was applied before and after an educational intervention to evaluate the knowledge of schoolchildren about entomology. The intervention also included collecting arthropods in the school yard. The entomologists divided the students into groups and collected arthropods in the schoolyard. The arthropods were collected with entomological forceps and placed in 25-ml plastic tubes, to which 70% alcohol was added. The tubes were labeled with the date, school, and grade level. To finish the activity, the children observed the arthropods under stereoscopes (Carl Zeiss Microlmaging GmbH®).
DOI: 10.15468/dl.ufw45s
title: Occurrence Download

description: A dataset containing 27934483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-10.57477 35.54504,4.72837 35.54504,4.72837 44.50437,-10.57477 44.50437,-10.57477 35.54504))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded)",
 "TaxonKey is Animalia",
 "Year 1976-2026"
 ]
}

 The dataset includes 27934483 records from 725 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012512-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5apdr
title: Occurrence Download

description: A dataset containing 100665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Year 1975-2024"
 ]
}

 The dataset includes 100665 records from 1104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007694-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyk47v
title: Occurrence Download

description: A dataset containing 3521 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triturus pygmaeus"
 ]
}

 The dataset includes 3521 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064689-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juujb9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Suliformes)",
 "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((-150 -90,-120 -90,-120 -60,-150 -60,-150 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064690-250920141307145/datasets/export for details.
DOI: 10.15156/bio/sh0154245.10fu
title: SH0154245.10FU

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/sh0154246.10fu
title: SH0154246.10FU

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/sh0154247.10fu
title: SH0154247.10FU

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/sh0154248.10fu
title: SH0154248.10FU

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/sh0154249.10fu
title: SH0154249.10FU

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/sh0154250.10fu
title: SH0154250.10FU

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.