cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30200320
title: PREVALENCE OF UNINTENDED PREGNANCY AND ASSOCIATED FACTORS AMONG WOMEN OF REPRODUCTIVE AGE IN OSUN STATE NIGERIA: A MIXED METHOD STUDY

description: Background: Unintended pregnancy is defined as a desired or unwanted pregnancy that occurs in a woman who is not planning to have any (more) children. Unintended pregnancy poses a wide array of health risks for both the mother and child, including malnutrition, illness, abuse, neglect, and even death. Local data on the prevalence of unintended pregnancy in Osun State are lacking, creating a significant knowledge gap. Therefore, this study examined the prevalence of unintended pregnancy and its associated factors among women of reproductive age in Osun State. Method: This study employed a mixed-method design of quantitative and qualitative methods among women of reproductive age selected from six local government areas in Osun State. The sample size for the quantitative component was estimated to be 198, calculated using Le Fischer’s formula (n= z2pq/d2), and 32 participants were purposively selected for the qualitative study. A multistage sampling technique was used to select the respondents for the qualitative study. Quantitative data were collected using a semi-structured, interviewer-administered questionnaire. Qualitative data involved key informant interviews and focus group discussions (FGD). Quantitative data were entered and analyzed using SPSS version 24, with the significance level set at p ≤ 0.05. Qualitative analysis was coded and analyzed using Atlas ti version 24. Results: The prevalence of unintended pregnancies was 42.4%. At the multivariate level, using regression analysis, age (B=0.151, p&lt;0.001, C.I =0.075-0.266), marital status (B= 2.626, p=0.030, C.I=-0.499 to -0.262), residence (B=2.109, p&lt;0.001, C.I=1.153-3.066), and religious affiliation (B= 1.848, p&lt;0.001, C.I= -2.777 to -0.918) were significantly associated with unplanned pregnancy. Conclusion: There was a high prevalence of unintended pregnancies among respondents linked to social, cultural, and religious factors. Hence, public health initiatives should address these factors to reduce unintended pregnancies and improve the uptake of family planning services among women in Osun State.
DOI: 10.6084/m9.figshare.30200320.v3
title: PREVALENCE OF UNINTENDED PREGNANCY AND ASSOCIATED FACTORS AMONG WOMEN OF REPRODUCTIVE AGE IN OSUN STATE NIGERIA: A MIXED METHOD STUDY

description: Background: Unintended pregnancy is defined as a desired or unwanted pregnancy that occurs in a woman who is not planning to have any (more) children. Unintended pregnancy poses a wide array of health risks for both the mother and child, including malnutrition, illness, abuse, neglect, and even death. Local data on the prevalence of unintended pregnancy in Osun State are lacking, creating a significant knowledge gap. Therefore, this study examined the prevalence of unintended pregnancy and its associated factors among women of reproductive age in Osun State. Method: This study employed a mixed-method design of quantitative and qualitative methods among women of reproductive age selected from six local government areas in Osun State. The sample size for the quantitative component was estimated to be 198, calculated using Le Fischer’s formula (n= z2pq/d2), and 32 participants were purposively selected for the qualitative study. A multistage sampling technique was used to select the respondents for the qualitative study. Quantitative data were collected using a semi-structured, interviewer-administered questionnaire. Qualitative data involved key informant interviews and focus group discussions (FGD). Quantitative data were entered and analyzed using SPSS version 24, with the significance level set at p ≤ 0.05. Qualitative analysis was coded and analyzed using Atlas ti version 24. Results: The prevalence of unintended pregnancies was 42.4%. At the multivariate level, using regression analysis, age (B=0.151, p&lt;0.001, C.I =0.075-0.266), marital status (B= 2.626, p=0.030, C.I=-0.499 to -0.262), residence (B=2.109, p&lt;0.001, C.I=1.153-3.066), and religious affiliation (B= 1.848, p&lt;0.001, C.I= -2.777 to -0.918) were significantly associated with unplanned pregnancy. Conclusion: There was a high prevalence of unintended pregnancies among respondents linked to social, cultural, and religious factors. Hence, public health initiatives should address these factors to reduce unintended pregnancies and improve the uptake of family planning services among women in Osun State.
DOI: 10.15468/dl.zt55vn
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon natagaima",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 337 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032335-260208012135463/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.30200320.v2
title: PREVALENCE OF UNINTENDED PREGNANCY AND ASSOCIATED FACTORS AMONG WOMEN OF REPRODUCTIVE AGE IN OSUN STATE NIGERIA: A MIXED METHOD STUDY

description: Background: Unintended pregnancy is defined as a desired or unwanted pregnancy that occurs in a woman who is not planning to have any (more) children. Unintended pregnancy poses a wide array of health risks for both the mother and child, including malnutrition, illness, abuse, neglect, and even death. Local data on the prevalence of unintended pregnancy in Osun State are lacking, creating a significant knowledge gap. Therefore, this study examined the prevalence of unintended pregnancy and its associated factors among women of reproductive age in Osun State. Method: This study employed a mixed-method design of quantitative and qualitative methods among women of reproductive age selected from six local government areas in Osun State. The sample size for the quantitative component was estimated to be 198, calculated using Le Fischer’s formula (n= z2pq/d2), and 32 participants were purposively selected for the qualitative study. A multistage sampling technique was used to select the respondents for the qualitative study. Quantitative data were collected using a semi-structured, interviewer-administered questionnaire. Qualitative data involved key informant interviews and focus group discussions (FGD). Quantitative data were entered and analyzed using SPSS version 24, with the significance level set at p ≤ 0.05. Qualitative analysis was coded and analyzed using Atlas ti version 24. Results: The prevalence of unintended pregnancies was 42.4%. At the multivariate level, using regression analysis, age (B=0.151, p&lt;0.001, C.I =0.075-0.266), marital status (B= 2.626, p=0.030, C.I=-0.499 to -0.262), residence (B=2.109, p&lt;0.001, C.I=1.153-3.066), and religious affiliation (B= 1.848, p&lt;0.001, C.I= -2.777 to -0.918) were significantly associated with unplanned pregnancy. Conclusion: There was a high prevalence of unintended pregnancies among respondents linked to social, cultural, and religious factors. Hence, public health initiatives should address these factors to reduce unintended pregnancies and improve the uptake of family planning services among women in Osun State.
DOI: 10.57745/9a17fa
title: Référentiel des disciplines scientifiques INRAE

description: Fruit d’un travail collectif, le référentiel des disciplines scientifiques permet de qualifier l’ensemble des disciplines d'INRAE et répond à différents usages institutionnels. A noter qu'il ne peut pas être exhaustif, par nature, en raison des mutations continues des disciplines et de l’interconnexion de certaines d'entre elles. Il repose sur des choix faits collectivement à un temps donné (2022). Le fichier au format RDF/SKOS et l'interrogation par API sont accessibles à l'URL indiquée au champ "Lien vers les données". Les fichiers au format PDF et tableur Excel sont attachés à la présente notice.
DOI: 10.6084/m9.figshare.31376407
title: Handheld RGB-thermal images, and SAM segments for fine-scale heat exposure monitoring (Lusatia, Germany)

description: This dataset supports fine-scale monitoring of land-surface heat exposure using a low-cost handheld thermal camera. It contains paired RGB and thermal imagery collected on a summer day across four landscape contexts in Lusatia, Germany (post-mining, urban, water-body, and agricultural sites). For each scene, we provide (i) the handheld images and (ii) segmentation outputs from the Segment Anything Model (SAM), including indexed mask maps that assign a segment ID to each pixel. These files enable object- and land-surface temperature profiling and can be used for benchmarking segmentation/classification workflows or for microclimate analysis across land-surface types.
DOI: 10.6084/m9.figshare.31376407.v1
title: Handheld RGB-thermal images, and SAM segments for fine-scale heat exposure monitoring (Lusatia, Germany)

description: This dataset supports fine-scale monitoring of land-surface heat exposure using a low-cost handheld thermal camera. It contains paired RGB and thermal imagery collected on a summer day across four landscape contexts in Lusatia, Germany (post-mining, urban, water-body, and agricultural sites). For each scene, we provide (i) the handheld images and (ii) segmentation outputs from the Segment Anything Model (SAM), including indexed mask maps that assign a segment ID to each pixel. These files enable object- and land-surface temperature profiling and can be used for benchmarking segmentation/classification workflows or for microclimate analysis across land-surface types.
DOI: 10.15468/dl.edp7y5
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piabucina erythrinoides",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 319 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032334-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btympz
title: Occurrence Download

description: A dataset containing 3567180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3567180 records from 2048 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032255-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z93vj7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is New record and updated checklist of Baetidae (Insecta: Ephemeroptera) from Venezuela"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019130-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8crxmy
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Ambystoma mexicanum",
 "Year 1965-2015"
 ]
}

 The dataset includes 118 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019129-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5psny
title: Occurrence Download

description: A dataset containing 589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.20135 5.35827,-76.22066 5.34862,-76.21812 5.33846,-76.21304 5.2968,-76.19272 5.22923,-76.17494 5.17487,-76.14293 5.18198,-76.12718 5.18655,-76.1033 5.21348,-76.09974 5.23177,-76.06977 5.27851,-76.06723 5.28664,-76.06266 5.29375,-76.0718 5.31458,-76.08095 5.34456,-76.09924 5.3476,-76.11143 5.35878,-76.13937 5.34506,-76.1663 5.36335,-76.20135 5.35827))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 589 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019131-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsfgnt
title: Occurrence Download

description: A dataset containing 14647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Ochotona princeps"
 ]
}

 The dataset includes 14647 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019132-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/ku.res.2025.12
title: Effects of electrical conductivity and fertilizer frequency on the growth, yield and postharvest quality of Wasabi ‘Daruma’ (Eutrema japonicum) in substrate culture system

description: This study examined the combined effects of electrical conductivity (EC) levels and fertilizer frequency on the growth, yield, and some quality attributes of wasabi (Eutrema japonicum cv. ‘Daruma’) under controlled conditions. A nine-month factorial experiment using three EC levels (1, 2, and 3 mS cm⁻¹) and two fertilizer frequencies (weekly and biweekly) revealed significant EC × fertilizer frequency interactions. The combination of moderate EC (2 mS cm⁻¹) and weekly fertilization resulted in the highest photosynthetic rate, vigorous growth, and greatest rhizome yield, while also enhancing the 2-propenyl-glucosinolate content in rhizomes during storage. In contrast, low EC with biweekly fertilization limited growth, whereas high EC (3 mS cm⁻¹) mainly promoted petiole and leaf elongation without yield improvement. Overall, optimal EC management combined with frequent fertilization synergistically improved nutrient uptake, physiological efficiency, and storability, providing an effective strategy for high-quality wasabi production.
DOI: 10.34740/kaggle/dsv/13630729
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ktenes
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dehaasia pugerensis"
 ]
}

 The dataset's 1 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019126-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv27r6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Aedes albopictus)",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019135-251025141854904/datasets/export for details.
DOI: 10.15468/dl.gyzhbm
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia graminea"
 ]
}

 The dataset includes 559 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84agmh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater fishes of Israel; a revised and updated annotated checklist- 2023"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5zgw8
title: Occurrence Download

description: A dataset containing 304382709 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Insecta"
 ]
}

 The dataset includes 304382709 records from 24725 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019043-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcvjy8
title: Occurrence Download

description: A dataset containing 1079979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, Ukraine)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is one of (RUS, UKR.9_1, UKR.26_1, UKR.4_1, UKR.6.6_1, UKR.15_1)",
 "TaxonKey is Passeriformes"
 ]
}

 The dataset includes 1079979 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003221-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ctqmtm
title: Dados referentes à tese atividades profissionais confiabilizadoras

description: Dados resultantes da aplicação de questionários envolvendo a metodologia Delphi (2 rodadas) para obtenção de consenso em relação às atividades profissionais confiabilizadoras (EPAs) aplicadas à Hematologia e Hemoterapia no Brasil
DOI: 10.15156/bio/sh1385831.10fu
title: SH1385831.10FU

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/sh1385832.10fu
title: SH1385832.10FU

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/sh1385833.10fu
title: SH1385833.10FU

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.su348w
title: Occurrence Download

description: A dataset containing 55376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix lapponum"
 ]
}

 The dataset includes 55376 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005833-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1385835.10fu
title: SH1385835.10FU

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.