cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.62sg46
title: Occurrence Download

description: A dataset containing 4823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cladonia rangiferina (L.) Weber ex F.H.Wigg.",
 "Country is Norway"
 ]
}

 The dataset includes 4823 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020791-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y4f25
title: Occurrence Download

description: A dataset containing 82 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 (Tamiasciurus douglasii (Bachman, 1839))",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 82 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020794-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf7fab
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 (Tamiasciurus douglasii (Bachman, 1839))",
 "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/0020793-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f4des8
title: Occurrence Download

description: A dataset containing 8836 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 (Tamiasciurus douglasii (Bachman, 1839))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 8836 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020792-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xyqf4
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 (Tamiasciurus douglasii (Bachman, 1839))",
 "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/0020795-250525065834625/datasets/export for details.
DOI: 10.15468/dl.53hzxp
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 (Tamiasciurus douglasii (Bachman, 1839))",
 "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/0020796-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15595160
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15595161
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.sqhsqy
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 (Tamiasciurus douglasii (Bachman, 1839))",
 "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/0020798-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15595128
title: СПЕЦИФИКА ИНТЕРЬЕРОВ КРАЕВЕДЧЕСКИХ МУЗЕЕВ НА ТЕРРИТОРИИ УЗБЕКИСТАНА

description: Статья посвящена изучению специфики интерьеров краеведческих музеев, с акцентом на региональные особенности, характерные для Узбекистана. Учитывая богатое историко-культурное наследие страны, краеведческие музеи играют ключевую роль в передаче уникальных свойств и самобытности региона. В статье рассматриваются особенности проектирования музеев, роль интерьера в восприятии экспозиций, а также использование местных материалов и специфических декоративных элементов оформления, связанных с культурным и историческим контекстом Узбекистана.
DOI: 10.5281/zenodo.15595129
title: СПЕЦИФИКА ИНТЕРЬЕРОВ КРАЕВЕДЧЕСКИХ МУЗЕЕВ НА ТЕРРИТОРИИ УЗБЕКИСТАНА

description: Статья посвящена изучению специфики интерьеров краеведческих музеев, с акцентом на региональные особенности, характерные для Узбекистана. Учитывая богатое историко-культурное наследие страны, краеведческие музеи играют ключевую роль в передаче уникальных свойств и самобытности региона. В статье рассматриваются особенности проектирования музеев, роль интерьера в восприятии экспозиций, а также использование местных материалов и специфических декоративных элементов оформления, связанных с культурным и историческим контекстом Узбекистана.
DOI: 10.3886/icpsr37156.v1
title: ACCESS Wheelchair Provision and Disability Inclusion Project, El Salvador, India, Kenya, Nicaragua, Romania, 2014-2017
title: Version 1

description: These data are compiled from a five-country United States Agency for International Development (USAID)-funded wheelchair provision and disability inclusion project known as ACCESS (Accelerating Core Competencies for Effective Wheelchair Service and Support). In this project, World Vision partnered with wheelchair technical experts and service providers to provide wheelchairs through the World Health Organization (WHO) 8 Steps and work to ensure social inclusion of wheelchair users. The data consist of referral screening, client assessment, product provision or improvement, and follow up forms as well as a pre- and post- social inclusion scale.
description: The goal of the ACCESS project, led by World Vision, was to strengthen the wheelchair sector through enhanced service capacity, provision of diverse range of wheelchairs, provision of WHO (World Health Organization) compliant wheelchair services, engagement with national and local governments and increased social participation of wheelchair users. The project mobilized people in hard to reach communities to refer clients for technical support for appropriate wheelchair service. At the same time, World Vision spearheaded advocacy and awareness raising to
build an enabling environment for wheelchair service and disability inclusion.
description: Volunteer referral actors and service providers collected the Provider Data in each of the countries. World Vision supported the referral and follow-up of clients. Technical experts in wheelchair provision provided training and mentorship services.
description: The collection contains variables pertaining to age, gender, employment, education, participation in community groups, whether the respondent receives health insurance or financial assistance, the reason(s) a wheelchair is needed, social inclusion, assessment and prescription of assistive device(s). Follow-up data include type of wheelchair and modifications provided, maintenance or repairs provided, wait time to receive the wheelchair, whether the respondent felt they were treated respectfully and received adequate training and repair skills.
description: Response Rates: 100 percent
description: The clients were selected for wheelchair provision based on snowball referral method. However, the pre- and post- social inclusion scale survey was only taken for a statistically significant sample of the clients participating in the project. These clients were selected by random sampling.
description: Datasets: 
DS0: Study-Level Files
DS1: ACCESS Client Intake Data
DS2: Client Referral Screening Data
DS3: ACCESS Inclusion Scale Data
DS4: ACCESS Wheelchair Service Record Data
description: Children and Adults, aged 0-17, 18-55, and 55+, with disabilities in India, Kenya, Nicaragua, Romania, and El Salvador. Smallest Geographic Unit: State or province
description: on-site questionnaire; telephone interviewThis study is associated with the International Society of Wheelchair Professionals (ISWP). ISWP website.
DOI: 10.3886/icpsr37156
title: ACCESS Wheelchair Provision and Disability Inclusion Project, El Salvador, India, Kenya, Nicaragua, Romania, 2014-2017
title: Archival Version

description: These data are compiled from a five-country United States Agency for International Development (USAID)-funded wheelchair provision and disability inclusion project known as ACCESS (Accelerating Core Competencies for Effective Wheelchair Service and Support). In this project, World Vision partnered with wheelchair technical experts and service providers to provide wheelchairs through the World Health Organization (WHO) 8 Steps and work to ensure social inclusion of wheelchair users. The data consist of referral screening, client assessment, product provision or improvement, and follow up forms as well as a pre- and post- social inclusion scale.
description: The goal of the ACCESS project, led by World Vision, was to strengthen the wheelchair sector through enhanced service capacity, provision of diverse range of wheelchairs, provision of WHO (World Health Organization) compliant wheelchair services, engagement with national and local governments and increased social participation of wheelchair users. The project mobilized people in hard to reach communities to refer clients for technical support for appropriate wheelchair service. At the same time, World Vision spearheaded advocacy and awareness raising to
build an enabling environment for wheelchair service and disability inclusion.
description: Volunteer referral actors and service providers collected the Provider Data in each of the countries. World Vision supported the referral and follow-up of clients. Technical experts in wheelchair provision provided training and mentorship services.
description: The collection contains variables pertaining to age, gender, employment, education, participation in community groups, whether the respondent receives health insurance or financial assistance, the reason(s) a wheelchair is needed, social inclusion, assessment and prescription of assistive device(s). Follow-up data include type of wheelchair and modifications provided, maintenance or repairs provided, wait time to receive the wheelchair, whether the respondent felt they were treated respectfully and received adequate training and repair skills.
description: Response Rates: 100 percent
description: The clients were selected for wheelchair provision based on snowball referral method. However, the pre- and post- social inclusion scale survey was only taken for a statistically significant sample of the clients participating in the project. These clients were selected by random sampling.
description: Datasets: 
DS0: Study-Level Files
DS1: ACCESS Client Intake Data
DS2: Client Referral Screening Data
DS3: ACCESS Inclusion Scale Data
DS4: ACCESS Wheelchair Service Record Data
description: Children and Adults, aged 0-17, 18-55, and 55+, with disabilities in India, Kenya, Nicaragua, Romania, and El Salvador. Smallest Geographic Unit: State or province
description: on-site questionnaire; telephone interviewThis study is associated with the International Society of Wheelchair Professionals (ISWP). ISWP website.
DOI: 10.15468/dl.sucf7z
title: Occurrence Download

description: A dataset containing 78 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 (Dicrostonyx groenlandicus (Traill, 1823))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 78 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020801-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cymt6b
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 (Dicrostonyx groenlandicus (Traill, 1823))",
 "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/0020802-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tmhbts
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Argentina, United States of America, Australia, New Zealand, Spain)",
 "OccurrenceStatus is Present",
 "TaxonKey is Listroderes difficilis P.Germain, 1895"
 ]
}

 The dataset includes 321 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4c24p
title: Occurrence Download

description: A dataset containing 14266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14266 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020804-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2brdf
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 (Dicrostonyx groenlandicus (Traill, 1823))",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020803-250525065834625/datasets/export for details.
DOI: 10.15468/dl.evnhk5
title: Occurrence Download

description: A dataset containing 14266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14266 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020805-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je7yj9
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleoptera of Genting Highland, Malaysia: Species richness and diversity changes along the elevations"
 ]
}

 The dataset includes 249 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020808-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/d1yz-ze43
title: DESI SLF III: Hubble+Keck Confirmed Strong Lenses

description: We present spectroscopic data of strong lenses and their source galaxies using the Keck Near-Infrared Echellette Spectrometer (NIRES) and the Dark Energy Spectroscopic Instrument (DESI), providing redshifts necessary for nearly all strong-lensing applications with these systems, especially the extraction of physical parameters from lensing modeling. These strong lenses were found in the DESI Legacy Imaging Surveys using Residual Neural Networks (ResNet) and followed up by our Hubble Space Telescope program, with all systems displaying unambiguous lensed arcs. With NIRES, we target eight lensed sources at redshifts difficult to measure in the optical range and determine the source redshifts for six, between z_s = 1.675 and 3.332. DESI observed one of the remaining source redshifts, as well as an additional source redshift within the six systems. The two systems with non-detections by NIRES were observed for a considerably shorter 600s at high airmass. Combining NIRES infrared spectroscopy with optical spectroscopy from our DESI Strong Lensing Secondary Target Program, these results provide the complete lens and source redshifts for six systems, a resource for refining automated strong lens searches in future deep- and wide-field imaging surveys and addressing a range of questions in astrophysics and cosmology.