cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jxpx2m
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 (Aneides aeneus)",
 "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/0015665-250802193616735/datasets/export for details.
DOI: 10.21233/n34971
title: Site 90 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 90 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n30h4q
title: Site 91 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 91 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.rhvmem
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nothobranchius furzeri)",
 "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 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015666-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n38p4x
title: Site 92 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 92 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.8ugykw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serranus rhyncholepis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015667-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3501z
title: Site 93 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 93 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.14290143
title: Piracuama river (SP) landslide inventory

description: Após chuvas de intensidade moderada a forte ocorridas no dia 13/12/2019, inúmeros movimentos de massa, entre eles, os deslizamentos rasos e fluxos de detritos, foram observados na bacia hidrográfica Piracuama, no município de Pindamonhangaba, São Paulo. Os processos foram mapeados em escala de 1:4000 utilizando-se das imagens Planet Scope com acesso via a Plataforma Brasil Mais e Google Earth (1:1000).

 

After rains of moderate to heavy intensity that occurred on 12/13/2019, numerous mass movements, including shallow landslides and debris flows, were observed in the Piracuama river basin, in the municipality of Pindamonhangaba, São Paulo. The processes were mapped at a scale of 1:4000 using Planet Scope images accessed via the Brasil Mais Platform and Google Earth (1:1000).
DOI: 10.5281/zenodo.14290144
title: Piracuama river (SP) landslide inventory

description: Após chuvas de intensidade moderada a forte ocorridas no dia 13/12/2019, inúmeros movimentos de massa, entre eles, os deslizamentos rasos e fluxos de detritos, foram observados na bacia hidrográfica Piracuama, no município de Pindamonhangaba, São Paulo. Os processos foram mapeados em escala de 1:4000 utilizando-se das imagens Planet Scope com acesso via a Plataforma Brasil Mais e Google Earth (1:1000).

 

After rains of moderate to heavy intensity that occurred on 12/13/2019, numerous mass movements, including shallow landslides and debris flows, were observed in the Piracuama river basin, in the municipality of Pindamonhangaba, São Paulo. The processes were mapped at a scale of 1:4000 using Planet Scope images accessed via the Brasil Mais Platform and Google Earth (1:1000).
DOI: 10.15468/dl.k34ws2
title: Occurrence Download

description: A dataset containing 2575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "DatasetKey is one of (NMNH Extant Specimen Records (USNM, US), The University and Jepson Herbaria -- Vascular Plants, The New York Botanical Garden Herbarium (NY), RSA - California Botanic Garden Herbarium, DAV - University of California, Davis Center for Plant Diversity - Vascular Plants, UCR - University of California, Riverside Herbarium - Vascular Plants, SBBG - Clifton Smith Herbarium, Santa Barbara Botanic Garden, SD - SD Herbarium, San Diego Natural History Museum, University of Nevada, Reno (UNR) Herbarium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus carinatus"
 ]
}

 The dataset includes 2575 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015669-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wa8vb
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-30000.0",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Bitis peringueyi"
 ]
}

 The dataset includes 99 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015668-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3160d
title: Site 94 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 94 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3gh42
title: Site 95 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 95 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25934/pr00010785
title: Evaluating the Efficacy and Safety of Systemic Treatments with Atezolizumab Plus Bevacizumab or Sorafenib in Patients with Hepatocellular Carcinoma and Localized Portal Vein Tumor Thrombosis

description: Liver cancer, particularly hepatocellular carcinoma (HCC), is one of the most common types of cancer. When this cancer spreads to the veins in or near the liver, it can be much harder to treat. One such condition, called portal vein tumor thrombosis (PVTT), occurs when the cancer grows into the portal vein, a blood vessel that carries blood to the liver. This is part of a larger group of liver cancer cases that have spread to the veins, which is known as macrovascular invasion (MVI). Patients with HCC and PVTT often have a poor outlook and face challenges in finding effective treatments.
Recent advancements in cancer treatments, especially in immunotherapy and targeted cancer drugs, have significantly improved survival for patients with advanced liver cancer. 
Immunotherapy drugs, such as atezolizumab, help immune system to recognize and attack cancer cells, whereas bevacizumab is a targeted cancer drug which blocks a specific protein and stops the cancer from growing blood vessels, so it can't grow.
Combinations of drugs such as atezolizumab and bevacizumab, have been shown to help some patients with advanced liver cancer live longer and experience better outcomes. This combination treatment is now one of the first options for people with advanced liver cancer and MVI. 
While these treatments show promise, there is still a lot we don't know about how they work for specific groups of patients, especially those with localized PVTT. Some patients with liver cancer and PVTT may still have good liver function and no signs that the cancer has spread beyond the liver. These patients may be able to benefit from surgery or other local treatments, but it's unclear whether atezolizumab and bevacizumab would work as well for them as it does for other patients with advanced cancer. This study aims to provide more information about how effective and safe this combination treatment is for this particular group of patients.
This research will focus on patients with a specific type of liver cancer—unilobar HCC with localized PVTT. These patients will have good liver function, no spread of cancer outside the liver, and no invasion of other blood vessels in the liver. The study will compare the treatment of these patients using either the combination of atezolizumab and bevacizumab or another drug called sorafenib, another type of targeted cancer drug that can prevent cancer cell growth. The goal is to see how these treatments perform in patients who might be eligible for surgery or local treatments.
This study will help us understand whether these treatments can improve survival and quality of life for these patients, and whether they are safe. By comparing these options, the research will help doctors make more informed decisions about how to treat liver cancer in the future, particularly for patients who have localized PVTT but still have good liver function.
DOI: 10.21233/n3bt4x
title: Site 96 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 96 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.mnswnm
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syngonium podophyllum",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015670-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3710j
title: Site 97 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 97 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n33983
title: Site 98 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 98 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3cg6j
title: Site 99 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 99 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15472/4vuhky
title: Monitoreo de los grupos hidrobiológicos en el área de la central hidroeléctrica Alto Tuluá 2019-2023

description: Las Central Hidroeléctrica Alto Tuluá se encuentra ubicada en la zona andina, más exactamente en el Alto Cauca, sobre la cordillera Central en la parte media de la cuenca del río Tuluá, en jurisdicción de los municipios de Tuluá y Buga. Su viabilidad fue establecida en la resolución 0100 No. 0730-0605 expedida el 14 de noviembre de 2008 por la Corporación Autónoma Regional del Valle del Cauca, CVC. En dicho documento, se incluye el requerimiento de la presentación, con periodicidad semestral, del Informe de Cumplimiento Ambiental, el cual se enmarca en la Resolución 1552 de octubre de 2005. Dentro de los componentes de dicho informe se tiene la caracterización de la calidad del agua y de los grupos hidrobiológicos (perifiton, macroinvertebrados continentales y peces).Para dar cumplimiento a lo establecido en la licencia, anualmente se llevan a cabo dos muestreos, con el fin de caracterizar las aguas del río Tuluá en lo referente a los componentes calidad del agua e hidrobiota. Este requerimiento ha tenido cumplimiento hasta la fecha tal como lo evidencia este estudio. La información resultante de los muestreos realizados durante los años 2019-2023, se presenta en este conjunto de datos que contiene la caracterización de los componentes hidrobiológicos (perifiton, macroinvertebrados y peces) en cuatro estaciones de muestreo distribuidas en la parte media de la cuenca del río Tuluá, en el área de influencia de la Central Hidroeléctrica, mostrando los inventarios taxonómicos de los diferentes grupos entre periodos y estaciones.Este monitero semestral contiene un conjunto de datos con 36 eventos de muestreo y 9.443 registros biológicos que provienen de la caracterización de diferentes grupos hidrobiológicos. La clasificación taxonómica de los registros biológicos comprende los reinos Animalia, Bacteria, Chromista y Plantae, los cuales se distribuyen a su vez en 10 clases, 32 órdenes, 60 familias y 80 géneros.
DOI: 10.15468/dl.4dzd8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syngonium podophyllum",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015671-250802193616735/datasets/export for details.
DOI: 10.21233/n37s38
title: Site 100 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 100 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.5c98ub
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 (Aneides aeneus)",
 "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/0015672-250802193616735/datasets/export for details.
DOI: 10.15468/dl.nfgyea
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 (Aneides aeneus)",
 "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/0015673-250802193616735/datasets/export for details.
DOI: 10.15468/dl.sse7pb
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 (Aneides aeneus)",
 "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/0015674-250802193616735/datasets/export for details.
DOI: 10.21233/n3401n
title: Site 101 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 101 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n3088t
title: Site 102 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 102 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.3na96f
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015675-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n3fm4s
title: Site 103 (Swain unpublished) pollen surface sample dataset

description: Raw data for the Site 103 (Swain unpublished) pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.35078/q90eto
title: Domingos Sávio. Entrevista Integral - Memórias da Saúde Mental

description: Entrevista integral concedida ao projeto Memórias da Saúde Mental: Cultura, Comunicação e Direitos Humanos. Núcleo de Saúde Mental, Álcool e outras Drogas, Nusmad (2017-10).
DOI: 10.25574/23733
title: Chandra X-ray Observatory ObsId 23733

description: Quantifying the Rate of Nearby Dual AGN
DOI: 10.25574/23737
title: Chandra X-ray Observatory ObsId 23737

description: Chandra and Gravity observations of Sgr A* to constrain the motion of the NIR source during X-ray flares
DOI: 10.25574/24694
title: Chandra X-ray Observatory ObsId 24694

description: Search for ROASAT and HEAOA@2 Counterparts
DOI: 10.25574/24695
title: Chandra X-ray Observatory ObsId 24695

description: Search for ROASAT and HEAOA@2 Counterparts
DOI: 10.25574/24709
title: Chandra X-ray Observatory ObsId 24709

description: Chandra Followup Observations of Stripped Envelope Supernovae
DOI: 10.25574/24718
title: Chandra X-ray Observatory ObsId 24718

description: A snapshot survey of two remarkable AGN classes: Quasars with large CIV EW and super-Eddington accreting AGNs