cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16761502
title: Capacities and needs of health care facilities for schistosomiasis diagnosis and management in elimination settings

description: The dataset pertains to the following publication: Capacities and needs of health care facilities for schistosomiasis diagnosis and management in elimination settings

 Background: Schistosomiasis is a debilitating neglected tropical disease that is endemic in sub-Saharan Africa. The role of health facilities in the prevention, diagnosis, control, and elimination of schistosomiasis is poorly documented. In a setting targeted for schistosomiasis elimination in Zanzibar, we assessed the prevalence of Schistosoma haematobium among patients seeking care in a health facility and investigated schistosomiasis-related knowledge of staff, and health facilities’ capacities and needs for schistosomiasis diagnosis and management.

 Methods: We conducted a health facility-based mixed-method study on Pemba Island from June to August 2023. Patients aged ≥4 years seeking care in four health facilities were screened for S. haematobium infection using urine filtration and reagent strips. Those patients aged ≥10 years were additionally interviewed about signs and symptoms. Staff from 23 health facilities responded to a questionnaire assessing knowledge and practices. Ten staff participated in a focus group discussion (FGD) about capacities and needs for schistosomiasis diagnosis and management.

Results: The prevalence of S. haematobium infections in patients attending the health facilities, as determined by the presence of eggs in urine, was 1.1% (8/712). Microhaematuria was detected in 13.3% (95/712) of the patients using reagent strips. Among patients aged ≥10 years, pelvic pain, pain during sex, and painful urination were reported by 38.0% (237/623), 6.3% (39/623), and 3.2% (20/623), respectively. Among the health facility staff, 90.0% (44/49) and 87.8% (43/49) identified blood in urine and pelvic pain, respectively, as symptoms of urogenital schistosomiasis, 81.6% (40/49) and 93.9% (46/49) reported collecting a urine sample and pursuing a reagent strip test, respectively, for diagnosis, and 87.8% (43/49) administered praziquantel for treatment. The most reoccurring themes in the FGD were the need for more staff training about schistosomiasis, request for diagnostic equipment, and the need to improve community response to schistosomiasis services in health facilities.

Conclusions: The prevalence of S. haematobium infection in patients seeking care in health facilities in Pemba is very low and similar to what has been reported from recent community-based cross-sectional surveys. The health facility staff had good schistosomiasis-related knowledge and practices. However, to integrate schistosomiasis patient management more durably into routine health facility activities, the capacities need to be improved by regular staff training and through an unbroken supply of diagnostic tools and praziquantel for the treatment of cases.
DOI: 10.15468/dl.7pmnsp
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 (Synallaxis ruficapilla)",
 "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/0029480-250802193616735/datasets/export for details.
DOI: 10.15468/dl.vkqegx
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 (Synallaxis ruficapilla)",
 "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/0029481-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.10558511
title: A Nationwide Dataset of Stable Isotopes in Meteoric and Terrestrial Water Across Peru

description: Water Stable Isotopes (δ¹⁸O and δ²H) are valuable tools for tracing sources and interactions in the water cycle, and also provide important information dedicated to understanding physical mechanisms related to global climate. Despite their significance, the topic of isotopic research in South America has been hindered by limited data. To address this gap, we launched a groundbreaking national-level water stable isotope dataset covering different water sources in Peru. The dataset contains in-house data and can be linked to previously published datasets. The dataset covers 489 water collection sites and provides isotopic information from 2000 to 2021. The dataset is implemented with a standardized metadata template, containing essential information such as sample type (e.g. groundwater, precipitation, river, spring, and others), sampling frequency (e.g. biweekly, daily, monthly) from sea level to 5000 m a.s.l, coordinates, contact, references, and analytical precision about the collector points to allow a comprehensive use of the dataset. Additionally, the dataset is stored on Zenodo, and users can use the WSI-PeruDB Python package to visualize the data.

 
description: WSIPeruDB_site_information.xlsx 

Contains essential information about the water collection points, such as ID, station name, latitude, longitude, altitude, references, contact details, analytical precision, start and end dates, sample type, sampling frequency, number of δ¹⁸O and δ²H measurements, project ID, and source database.

WSIPeruDB_dataset_information.xlsx

Contains the stable isotope values (δ¹⁸O and δ²H) corresponding to the water collection points.

WSIPeruDB_template.xlsx

A standardized metadata template for users interested in contributing new data to the dataset.

Site_information_numeral.geojson

Used for visualizing the water collection points with the WSI-PeruDB Python package.
DOI: 10.5281/zenodo.15625378
title: A Nationwide Dataset of Stable Isotopes in Meteoric and Terrestrial Water Across Peru

description: Water Stable Isotopes (δ¹⁸O and δ²H) are valuable tools for tracing sources and interactions in the water cycle, and also provide important information dedicated to understanding physical mechanisms related to global climate. Despite their significance, the topic of isotopic research in South America has been hindered by limited data. To address this gap, we launched a groundbreaking national-level water stable isotope dataset covering different water sources in Peru. The dataset contains in-house data and can be linked to previously published datasets. The dataset covers 489 water collection sites and provides isotopic information from 2000 to 2021. The dataset is implemented with a standardized metadata template, containing essential information such as sample type (e.g. groundwater, precipitation, river, spring, and others), sampling frequency (e.g. biweekly, daily, monthly) from sea level to 5000 m a.s.l, coordinates, contact, references, and analytical precision about the collector points to allow a comprehensive use of the dataset. Additionally, the dataset is stored on Zenodo, and users can use the WSI-PeruDB Python package to visualize the data.

 
description: WSIPeruDB_site_information.xlsx 

Contains essential information about the water collection points, such as ID, station name, latitude, longitude, altitude, references, contact details, analytical precision, start and end dates, sample type, sampling frequency, number of δ¹⁸O and δ²H measurements, project ID, and source database.

WSIPeruDB_dataset_information.xlsx

Contains the stable isotope values (δ¹⁸O and δ²H) corresponding to the water collection points.

WSIPeruDB_template.xlsx

A standardized metadata template for users interested in contributing new data to the dataset.

Site_information_numeral.geojson

Used for visualizing the water collection points with the WSI-PeruDB Python package.
DOI: 10.15468/dl.rnq4hb
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 (Synallaxis ruficapilla)",
 "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/0029483-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ma2k87
title: Occurrence Download

description: A dataset containing 63511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-44.63192 -17.7063,-43.36218 -17.65261,-42.59466 -16.02292,-44.95152 -16.0943,-44.63192 -17.7063))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, CR, EN, VU, NT, LC, DD)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 63511 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029438-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5vqwj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamnastoma orientalis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029485-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvv9hp
title: Occurrence Download

description: A dataset containing 413991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.23794 40.90319,-111.77462 40.90319,-111.77462 41.24517,-112.23794 41.24517,-112.23794 40.90319))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2021-2025"
 ]
}

 The dataset includes 413991 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029444-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e224881v4
title: ECIN Replication Package for "De-prosecution and death: A comment on Hogan (2022)"

description: Replication Package for "De-prosecution and death: A comment on Hogan (2022)"
DOI: 10.15468/dl.pau9tz
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cerambycidae"
 ]
}

 The dataset includes 135 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029491-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqnh3y
title: Occurrence Download

description: A dataset containing 413991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.23794 40.90319,-111.77462 40.90319,-111.77462 41.24517,-112.23794 41.24517,-112.23794 40.90319))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2021-2025"
 ]
}

 The dataset includes 413991 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029453-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14604471
title: Learning from the past: Limitations of techno-economic assessments for low-temperature CO2 electrolysis

description: Reaching climate goals requires a rapid scale-up of clean energy technologies, which, in many cases, are still under development. Low-temperature CO₂ electrolysis (LT CO2E) is a promising pre-commercial technology (TRL 3 to 6) that can produce CO₂-based fuels and chemicals using electricity. To understand the future competitiveness of such novel technologies, techno-economic assessments (TEAs) are conducted using the best available knowledge at the time, ensuring that the highest-quality TEA information supports decision-making regarding future investments. As LT CO₂E advances, its techno-economic research must evolve toward more in-depth process designs, integrating the latest knowledge regarding the technology’s development and any aspects essential to commercial implementation. To do so, it is important to understand the robustness and limitations of existing LT CO2E TEAs to identify areas for further improvement; for example, electricity and CO2 cost assumptions vary significantly between TEAs for syngas, accounting for 18-81% and up to 28% of the total operational expenditure, respectively. This review assessed the origins and justifications behind common assumptions used in TEAs of LT CO2E with three main findings: 1) the methodological justifications seem stuck in the past, relying on three key studies and mature electrolysis technologies from previous decades; 2) the latest advancements in electrolyzer modeling underscore the need to update existing LT CO₂E performance benchmarks, and 3) future LT CO₂E TEAs need to include pre-treatment of CO₂ and water, product separation steps, as well as heat integration, recycling, and waste valorization, to progress beyond the preliminary conceptual phase. 

Key words: CO₂ electrolysis, CCU, techno-economic assessment, ex-ante technology assessment, low carbon technologies
DOI: 10.5281/zenodo.14604472
title: Learning from the past: Limitations of techno-economic assessments for low-temperature CO2 electrolysis

description: Reaching climate goals requires a rapid scale-up of clean energy technologies, which, in many cases, are still under development. Low-temperature CO₂ electrolysis (LT CO2E) is a promising pre-commercial technology (TRL 3 to 6) that can produce CO₂-based fuels and chemicals using electricity. To understand the future competitiveness of such novel technologies, techno-economic assessments (TEAs) are conducted using the best available knowledge at the time, ensuring that the highest-quality TEA information supports decision-making regarding future investments. As LT CO₂E advances, its techno-economic research must evolve toward more in-depth process designs, integrating the latest knowledge regarding the technology’s development and any aspects essential to commercial implementation. To do so, it is important to understand the robustness and limitations of existing LT CO2E TEAs to identify areas for further improvement; for example, electricity and CO2 cost assumptions vary significantly between TEAs for syngas, accounting for 18-81% and up to 28% of the total operational expenditure, respectively. This review assessed the origins and justifications behind common assumptions used in TEAs of LT CO2E with three main findings: 1) the methodological justifications seem stuck in the past, relying on three key studies and mature electrolysis technologies from previous decades; 2) the latest advancements in electrolyzer modeling underscore the need to update existing LT CO₂E performance benchmarks, and 3) future LT CO₂E TEAs need to include pre-treatment of CO₂ and water, product separation steps, as well as heat integration, recycling, and waste valorization, to progress beyond the preliminary conceptual phase. 

Key words: CO₂ electrolysis, CCU, techno-economic assessment, ex-ante technology assessment, low carbon technologies
DOI: 10.15468/dl.u7b65b
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 (Synallaxis frontalis)",
 "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/0029489-250802193616735/datasets/export for details.
DOI: 10.15468/dl.94cha9
title: Occurrence Download

description: A dataset containing 1634475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1634475 records from 4000 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029445-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6essn
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-99.2697 19.29785,-99.18152 19.24378,-98.98698 19.29785,-98.98698 19.48965,-99.09354 19.58092,-99.26351 19.56877,-99.30044 19.49291,-99.29909 19.31489,-99.2697 19.29785))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2002-2005"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010356-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8z8ek
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.26_1",
 "TaxonKey is Asio otus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010357-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vvf88
title: Occurrence Download

description: A dataset containing 612187 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programa de fotomonitoreo de objetos de conservación y amenazas en el Sistema Nacional de Áreas Protegidas (SNAP)"
 ]
}

 The dataset includes 612187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010355-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g64fc
title: Occurrence Download

description: A dataset containing 663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Netherlands, Belgium)",
 "TaxonKey is Calathus rotundicollis Dejean, 1828"
 ]
}

 The dataset includes 663 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010359-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aymz98
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-97.59037 15.50188,-95.19481 15.50188,-95.19481 16.11517,-97.59037 16.11517,-97.59037 15.50188))",
 "HasCoordinate is true",
 "TaxonKey is Dermochelys coriacea (Vandelli, 1761)"
 ]
}

 The dataset includes 91 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010360-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ln7k2
title: CCDC 2402734: Experimental Crystal Structure Determination

description: Related Article: Jiangying Li, Haowen Ma, Xiaoju Shi, Ting Jiao, Lin Wang, Meiling Nie, Xiaojuan Wang, Zongwu Deng, Hailu Zhang|2025|CrystEngComm|27|2534|doi:10.1039/D5CE00073D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ln7l3
title: CCDC 2402735: Experimental Crystal Structure Determination

description: Related Article: Jiangying Li, Haowen Ma, Xiaoju Shi, Ting Jiao, Lin Wang, Meiling Nie, Xiaojuan Wang, Zongwu Deng, Hailu Zhang|2025|CrystEngComm|27|2534|doi:10.1039/D5CE00073D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.