cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/f5ez7b
title: 2019 - CSA Monitoring: Kaffrine Climate-Smart Village (Senegal)

description: &lt;p align="justify"&gt;This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Kaffrine Climate Smart Village (Senegal) in November 2019. &lt;/p&gt;
&lt;br&gt;
This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: 
&lt;br&gt;
&lt;ul&gt;
&lt;li&gt;adoption of CSA practices and technologies, as well as access to climate information services and 

&lt;li&gt;their related impacts at household level and farm level 
&lt;/ul&gt;
&lt;br&gt;
This framework proposes standard Descriptive Indicators to track changes in: 
&lt;br&gt;

&lt;ul type="circle"&gt;
&lt;li&gt;5 enabling dimensions that might affect adoption patterns, &lt;/li&gt;

&lt;li&gt;a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and &lt;/li&gt;

&lt;li&gt;4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). &lt;/li&gt;

&lt;li&gt;At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. &lt;/li&gt;

&lt;/ul&gt;
&lt;br&gt;
This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time. 
&lt;br&gt;
The framework responds to three main research questions: 
&lt;br&gt;
&lt;ol&gt;
&lt;li value="1"&gt;Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? &lt;/li&gt;

&lt;li value="2"&gt;What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultural production, income, food security, food diversity and adaptive capacity) and on key gender dimensions (participation in decision-making, participation in CSA implementation and dis-adoption, control and access over resources and labour)? &lt;/li&gt;

&lt;li value="3"&gt;How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? &lt;/li&gt;
&lt;/ol&gt;
&lt;br&gt;
&lt;p align="justify"&gt;The survey questionnaire is structured around different thematic modules (M1A Demographic, M1B Farming system, M1C Financial services, M2 Climate events, M3, Climate Information Services, M4 Food Security, M5 CSA practices) whose questions allow assessing standard CSA metrics and the specific indicators associated with the research questions 1 and 2. Data required for assessing farm level CSA performance are collected through the Farm, the Crop, the animals and the Tree Calculator modules. &lt;/p&gt;
DOI: 10.5683/sp3/klx3rw
title: 2006 and 2021 Census data, Selected Characteristics for the Population aged 4 to 11 years old in Private Households in Ontario, by Dissemination Areas [Custom Tabulation] [B2020] [CSV]
title: Données des recensements de 2006 et 2021, caractéristiques sélectionnées pour la population âgée de 4 à 11 ans vivant dans des ménages privés en Ontario, par secteur de diffusion [tableau personnalisé] [B2020] [CSV]
title: 2006 and 2021 Census data, Selected Characteristics for the Population aged 4 to 11 years old in Private Households in Ontario, by Dissemination Areas

description: This is a custom tabulation from Statistics Canada. It presents data on selected characteristics and age for children aged 4 to 11 in Canada, Ontario, Census Divisions, Census Subdivisions, and Dissemination Areas based on 2006 and 2021 census data. The selected characteristics are: Mother tongue, place of birth, visible minority, low income status, total household income (median), and education level of parents.
description: Statistics Canada Custom Tabulations
description: Census of Population
description: Statistics Canada performs random rounding on custom tabulations to ensure confidentiality. This means all counts are rounded to a base of 5 (ending in 0 or 5) and may not match the sum of the rounded components. 
Beyond 20/20 software (to open .ivt files) is available for download from the Statistics Canada website

This custom tabulation is related to another similar dataset based on the 2016 Census (see Related Dataset metadata below), but it captures different information. The 2006 and 2021 custom tabulation change the age group from 4-17 to 4-11 and includes the following variables related to parental education, which is not present in the 2016 data:

The number of children aged 4 to 11 years, who live in a census family where neither parent (or the lone parent) has a university certificate or diploma below bachelor level, or a bachelor’s degree or higher
 The number of children aged 4 to 11 years, who live in a census family where at least one parent (or the lone parent) has a university certificate or diploma below bachelor level, or a bachelor’s degree or higher
DOI: 10.5281/zenodo.18162715
title: Dataset of Infrared Absorption Responses of leaves from five Cannabis sativa L. varieties treated with a Trichoderma spp.-Based Biomass suspension

description: The dataset comprises spectra obtained from industrial hemp leaves derived from plants subjected to two experimental conditions: treatment with Trichoderma-based biomass and control group. Plant varieties are coded using the nomenclature W1 to W5, where those that received the Trichoderma treatment are identified with the letter T. Leaf samples were collected from industrial hemp crops established in experimental fields located in Paraguay.

All activities were performed under a formal resolution issued by the Comisión Interinstitucional de Cáñamo Industrial (COINCA), which authorized sample collection, transport, and laboratory analysis (Dictamen DGAJ 239/25). The work was approved by the Ethics Committee of the Multidisciplinary Center for Technological Research (CEMIT) of the National University of Asunción (UNA), through Resolution No. CE-00012.
DOI: 10.5281/zenodo.17165735
title: Dataset of Infrared Absorption Responses of leaves from five Cannabis sativa L. varieties treated with a Trichoderma spp.-Based Biomass suspension

description: The dataset comprises spectra obtained from industrial hemp leaves derived from plants subjected to two experimental conditions: treatment with Trichoderma-based biomass and control group. Plant varieties are coded using the nomenclature W1 to W5, where those that received the Trichoderma treatment are identified with the letter T. Leaf samples were collected from industrial hemp crops established in experimental fields located in Paraguay.

All activities were performed under a formal resolution issued by the Comisión Interinstitucional de Cáñamo Industrial (COINCA), which authorized sample collection, transport, and laboratory analysis (Dictamen DGAJ 239/25). The work was approved by the Ethics Committee of the Multidisciplinary Center for Technological Research (CEMIT) of the National University of Asunción (UNA), through Resolution No. CE-00012.
DOI: 10.15468/dl.u8rvyn
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.1326179766302011 45.82041387274262,1.5825267778716927 45.82041387274262,1.5825267778716927 46.27032267398411,1.1326179766302011 46.27032267398411,1.1326179766302011 45.82041387274262))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Somatochlora arctica"
 ]
}

 The dataset includes 370 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080306-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2awxzu
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphagnum papillosum",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 120 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080305-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dcwgk
title: Occurrence Download

description: A dataset containing 6645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus albus, ? albida, Amaranthus albus rubricapsulata, Amaranthus albus albus, Amaranthus albus monosepalus, Amaranthus albus parviflorus, Amaranthus albus puberulus, Amaranthus albus pubescens, Amaranthus albus rubicundus, Amaranthus campestris, Amaranthus gracilentus, Amaranthus graecizans, Amaranthus graecizans pubescens, Amaranthus littoralis, Amaranthus pubescens, Euxolus albidus, Galliaria albida, Glomeraria alba)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 6645 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080307-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y9rsd
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Steromphala umbilicaris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 568 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009551-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuxn2s
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Climacoptera transoxana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009550-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kje3sd
title: Occurrence Download

description: A dataset containing 15112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica serpyllifolia, Veronica serpyllifolia, Veronica serpyllifolia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 15112 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009548-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnahyv
title: Occurrence Download

description: A dataset containing 28079 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Mammalogy National Collection (MACNMa)"
 ]
}

 The dataset includes 28079 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009547-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18469158
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/dl.qt3phr
title: Occurrence Download

description: A dataset containing 171124498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "EventDate 2006-01-01-2025-03-01",
 "Geometry POLYGON((-21.32 26.76,57.1 26.76,57.1 69.9,-21.32 69.9,-21.32 26.76))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 171124498 records from 8367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003757-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1208584.10fu
title: SH1208584.10FU

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/sh1208585.10fu
title: SH1208585.10FU

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/sh1208586.10fu
title: SH1208586.10FU

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/sh1208588.10fu
title: SH1208588.10FU

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/sh1208589.10fu
title: SH1208589.10FU

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/sh1208592.10fu
title: SH1208592.10FU

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/sh1208593.10fu
title: SH1208593.10FU

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/sh1208594.10fu
title: SH1208594.10FU

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/sh1208595.10fu
title: SH1208595.10FU

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.