cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16614078
title: Adaptive integrated intervention approaches for schistosomiasis elimination in Pemba: A 4-year intervention study and focus on hotspots

description: The datasets pertain to the following publication:

Adaptive integrated intervention approaches for schistosomiasis elimination in Pemba: A 4-year intervention study and focus on hotspots

Background: Schistosomiasis is a disease of poverty. Integrated interventions are recommended for its elimination. Despite major prevalence reductions over the past decades, hotspot areas with persistent or recurring moderate or high prevalence remain. We aimed to assess the contribution of multidisciplinary interventions that were adapted to the local micro-epidemiology for schistosomiasis elimination in Pemba, Tanzania, and to identify drivers for the occurrence of hotspot areas.

Methodology: From 2020 to 2024, annual cross-sectional surveys were conducted in schools and communities in 20 implementation units (IUs) to assess the S. haematobium prevalence and monitor the impact of interventions. Based on the prevalence, the IUs were annually re-stratified into hotspot and low-prevalence IUs. In hotspots, mass drug administration in schools and communities, snail control and behavior change measures were implemented. Low-prevalence areas received surveillance-response interventions. With a random effects model, the association between S. haematobium infections and environmental and economic factors were assessed. Using risk layers based on the random effects model, hotspot areas were determined geographically.

Principal Findings: The overall S. haematobium prevalence in the 20 IUs changed from 1.2% (26/2200, 95% Confidence Interval (CI): 0.5-1.9%) in 2021 to 1.0% (27/2752, 95% CI: 0.4-1.6%) in 2024 in schools, and from 0.8% (31/3885, 95% CI: 0.4-1.2%) in 2021 to 1.2% (43/3711, 95% CI: 0.3-2.0%) in 2024 in communities. Across the study period, 8 IUs were considered a hotspot. The number of hotspot IUs decreased from 5 in 2021, to 4 in 2022, to 3 in 2023 but increased again to 5 in 2024. Some of the hotspot IUs resurged once interventions were adapted to surveillance-response. S. haematobium infections were significantly associated with the standardized kernel density of water bodies with Bulinus presence (Odds Ratio (OR): 2.3; 95% CI: 1.6-3.4), a very low economic score (OR: 4.1; 95% CI: 1.7-9.9) and living 1-2 km away from a road (OR: 4.7; 95% CI: 2.1-10.6).

Conclusion: Adaptive multidisciplinary interventions maintained the very low prevalence in Pemba but failed to interrupt S. haematobium transmission within 4 years. A comprehensive integrated intervention package contributed to reducing the number of hotspot IUs. However, some hotspots persisted also intense interventions or resurged once interventions were adapted to surveillance-response. To achieve complete elimination in Pemba and elsewhere, poverty needs to be reduced, and investments in global health equity, including the water sanitation and hygiene infrastructure, are essential.
DOI: 10.5281/zenodo.16614079
title: Adaptive integrated intervention approaches for schistosomiasis elimination in Pemba: A 4-year intervention study and focus on hotspots

description: The datasets pertain to the following publication:

Adaptive integrated intervention approaches for schistosomiasis elimination in Pemba: A 4-year intervention study and focus on hotspots

Background: Schistosomiasis is a disease of poverty. Integrated interventions are recommended for its elimination. Despite major prevalence reductions over the past decades, hotspot areas with persistent or recurring moderate or high prevalence remain. We aimed to assess the contribution of multidisciplinary interventions that were adapted to the local micro-epidemiology for schistosomiasis elimination in Pemba, Tanzania, and to identify drivers for the occurrence of hotspot areas.

Methodology: From 2020 to 2024, annual cross-sectional surveys were conducted in schools and communities in 20 implementation units (IUs) to assess the S. haematobium prevalence and monitor the impact of interventions. Based on the prevalence, the IUs were annually re-stratified into hotspot and low-prevalence IUs. In hotspots, mass drug administration in schools and communities, snail control and behavior change measures were implemented. Low-prevalence areas received surveillance-response interventions. With a random effects model, the association between S. haematobium infections and environmental and economic factors were assessed. Using risk layers based on the random effects model, hotspot areas were determined geographically.

Principal Findings: The overall S. haematobium prevalence in the 20 IUs changed from 1.2% (26/2200, 95% Confidence Interval (CI): 0.5-1.9%) in 2021 to 1.0% (27/2752, 95% CI: 0.4-1.6%) in 2024 in schools, and from 0.8% (31/3885, 95% CI: 0.4-1.2%) in 2021 to 1.2% (43/3711, 95% CI: 0.3-2.0%) in 2024 in communities. Across the study period, 8 IUs were considered a hotspot. The number of hotspot IUs decreased from 5 in 2021, to 4 in 2022, to 3 in 2023 but increased again to 5 in 2024. Some of the hotspot IUs resurged once interventions were adapted to surveillance-response. S. haematobium infections were significantly associated with the standardized kernel density of water bodies with Bulinus presence (Odds Ratio (OR): 2.3; 95% CI: 1.6-3.4), a very low economic score (OR: 4.1; 95% CI: 1.7-9.9) and living 1-2 km away from a road (OR: 4.7; 95% CI: 2.1-10.6).

Conclusion: Adaptive multidisciplinary interventions maintained the very low prevalence in Pemba but failed to interrupt S. haematobium transmission within 4 years. A comprehensive integrated intervention package contributed to reducing the number of hotspot IUs. However, some hotspots persisted also intense interventions or resurged once interventions were adapted to surveillance-response. To achieve complete elimination in Pemba and elsewhere, poverty needs to be reduced, and investments in global health equity, including the water sanitation and hygiene infrastructure, are essential.
DOI: 10.6084/m9.figshare.29595887
title: Dataset Supporting an Interpretable, Data-Driven, Hierarchical Multi-Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

description: This dataset contains the input features used to train and evaluate classification models for chronic ankle instability (CAI) and to generate individualized motor function scores. The features are derived from spatial-domain and temporal-domain representations of muscle synergies, as well as complexity features of muscle coordination patterns. This dataset supports the development of interpretable and personalized assessment models for motor function, and can facilitate individualized rehabilitation and sports health management in CAI patients.
DOI: 10.6084/m9.figshare.29595887.v2
title: Dataset Supporting an Interpretable, Data-Driven, Hierarchical Multi-Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

description: This dataset contains the input features used to train and evaluate classification models for chronic ankle instability (CAI) and to generate individualized motor function scores. The features are derived from spatial-domain and temporal-domain representations of muscle synergies, as well as complexity features of muscle coordination patterns. This dataset supports the development of interpretable and personalized assessment models for motor function, and can facilitate individualized rehabilitation and sports health management in CAI patients.
DOI: 10.6084/m9.figshare.29595887.v1
title: Dataset Supporting an Interpretable, Data-Driven, Hierarchical Multi-Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

description: This dataset contains the standardized muscle synergy features and motor function scores collected from chronic ankle instability (CAI) patients and healthy controls. All data are normalized to 100 gait cycle points. Detailed variable descriptions are included in the README file.
DOI: 10.15468/dl.j5k7eh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus latrans)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024894-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ust66h
title: Occurrence Download

description: A dataset containing 220967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptyonoprogne fuligula)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 220967 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024864-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3wmeq
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria eschata"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024893-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrmn7c
title: Occurrence Download

description: A dataset containing 16470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Purpureicephalus spurius)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 16470 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024895-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa8a9g
title: Occurrence Download

description: A dataset containing 30528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pulsatrix perspicillata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 30528 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024892-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crz69x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus latrans)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024897-250802193616735/datasets/export for details.
DOI: 10.15468/dl.esv5rv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus latrans)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024896-250802193616735/datasets/export for details.
DOI: 10.15468/dl.vzrjaz
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemidactylus turcicus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024898-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vteywp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemidactylus turcicus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024899-250802193616735/datasets/export for details.
DOI: 10.15468/dl.fh92ra
title: Occurrence Download

description: A dataset containing 4022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus nigricollis",
 "Year 2000-2025"
 ]
}

 The dataset includes 4022 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024902-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy2qxe
title: Occurrence Download

description: A dataset containing 824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemidactylus turcicus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 824 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024900-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6sx3h
title: Occurrence Download

description: A dataset containing 883287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.1234 43.58206,4.16196 43.79851,4.12405 43.87579,3.92575 43.90933,3.72891 43.92683,3.58164 43.87871,3.43372 43.66663,3.45705 43.51208,3.50371 43.29482,3.58974 43.32544,4.1234 43.58206))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 883287 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024871-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk2pzn
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus bimaculatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024905-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpybyp
title: Occurrence Download

description: A dataset containing 169499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squalus acanthias"
 ]
}

 The dataset includes 169499 records from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024835-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn34vy
title: Occurrence Download

description: A dataset containing 2343 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria xanthomera"
 ]
}

 The dataset includes 2343 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024904-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn62av
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.55038 46.99473,11.51699 47.29083,11.36783 47.43999,11.09845 47.44889,10.90254 47.49564,10.94038 47.5513,10.4417 47.61363,10.32816 47.30864,10.56414 46.88119,11.55038 46.99473))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandra salamandra",
 "Year 2015-2025"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024906-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsue9m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus podicipinus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024908-250802193616735/datasets/export for details.
DOI: 10.15468/dl.nqt9qx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphyosemion wildekampi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024907-250802193616735/datasets/export for details.
DOI: 10.4121/1a79b442-a00e-40a8-99d9-bb6da161a62c
title: Data underlying on the conference proceeding: Open Data Platform Engagement: An Integrative Review of Citizens’ Motivations Inhibiting and Accelerating Adoption

description: The datasets contain the underlying Integrative Review data of an article titled "Open Data Platform Engagement: An Integrative Review of Citizens’ Motivations Inhibiting and Accelerating Adoption" provisionally accepted at the 2025 IFIP working conference (IFIP WG8.6 2025). Specifically, they contain the list of papers collected from Scopus and Web of Science databases, published between 2010 and 2025, processed through several stages of inclusion and exclusion, for analyzing motivations and barriers of citizens to engage with open data portals.
DOI: 10.15468/dl.bvcww4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leptodactylus podicipinus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024909-250802193616735/datasets/export for details.
DOI: 10.4121/1a79b442-a00e-40a8-99d9-bb6da161a62c.v1
title: Data underlying on the conference proceeding: Open Data Platform Engagement: An Integrative Review of Citizens’ Motivations Inhibiting and Accelerating Adoption

description: The datasets contain the underlying Integrative Review data of an article titled "Open Data Platform Engagement: An Integrative Review of Citizens’ Motivations Inhibiting and Accelerating Adoption" provisionally accepted at the 2025 IFIP working conference (IFIP WG8.6 2025). Specifically, they contain the list of papers collected from Scopus and Web of Science databases, published between 2010 and 2025, processed through several stages of inclusion and exclusion, for analyzing motivations and barriers of citizens to engage with open data portals.