cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28467469.v1
title: Exploring the role of quercetin on doxorubicin and lapatinib-mediated cellular and mitochondrial responses using <i>in vitro</i> and <i>in silico</i> studies

description: Doxorubicin (DOX) and lapatinib (LAP) have been reported to cause liver toxicity. The roles of mitochondrial and cellular responses in DOX and LAP mediated-hepatotoxicity have not been investigated with or without quercetin (QUE) in HepG2 cells sensitive to mitochondrial damage (high-glucose or galactose media) in addition to <i>in silico</i> studies. Our results revealed that cytosolic pathways might play role a in DOX-induced cytotoxicity rather than mitochondria. QUE exacerbated DOX-induced ATP depletion in both environments. Our data also indicated that cytosolic and mitochondrial pathways might play a role in LAP-induced cytotoxicity. Incubating QUE with LAP increased ATP levels in high-glucose media. Therefore, QUE might have protective effect against LAP-induced cytotoxicity resulting from cytosolic pathways. The findings from <i>in vitro</i> experiments that QUE increased DOX or LAP-induced mitochondrial dysfunction were confirmed by the results from <i>in silico</i> studies indicating that QUE incubated with LAP or DOX might increase mitochondrial dysfunction.
DOI: 10.6084/m9.figshare.28416041
title: The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets

description: To search for key drug resistance biomarkers and potential chemotherapeutic agents for combination therapy in melanoma patients. The common up-regulated differentially expressed genes were acquired from two cohort studies, GSE91061 and PRJEB23709. Univariate and multivariate Cox regression survival analyses were performed to screen for important prognostic biomarkers. A multi-gene panel including <i>APP</i>, <i>ARHGAP42</i>, <i>GSTA4</i> and <i>UCHL1</i>, not only plays an important role in prognostic indicators, but also in predicting the probability of resistance to anti-PD-1 in patients with melanoma. Chemotherapy drug response models found five potential drugs, including all-trans retinoic acid, doxorubicin, etoposide, methotrexate and MG-132, were significantly associated with target genes in gene-panel. Molecular docking confirmed that potential drugs have good binding ability to target genes <i>APP</i>, <i>GSTA4</i> and <i>UCHL1,</i> suggesting that the multi-gene panel is expected to provide assistance for drug resistance prediction and prognosis assessment and combination therapy in patients with anti-PD-1 resistant melanoma.
DOI: 10.6084/m9.figshare.28416041.v2
title: The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets

description: To search for key drug resistance biomarkers and potential chemotherapeutic agents for combination therapy in melanoma patients. The common up-regulated differentially expressed genes were acquired from two cohort studies, GSE91061 and PRJEB23709. Univariate and multivariate Cox regression survival analyses were performed to screen for important prognostic biomarkers. A multi-gene panel including <i>APP</i>, <i>ARHGAP42</i>, <i>GSTA4</i> and <i>UCHL1</i>, not only plays an important role in prognostic indicators, but also in predicting the probability of resistance to anti-PD-1 in patients with melanoma. Chemotherapy drug response models found five potential drugs, including all-trans retinoic acid, doxorubicin, etoposide, methotrexate and MG-132, were significantly associated with target genes in gene-panel. Molecular docking confirmed that potential drugs have good binding ability to target genes <i>APP</i>, <i>GSTA4</i> and <i>UCHL1,</i> suggesting that the multi-gene panel is expected to provide assistance for drug resistance prediction and prognosis assessment and combination therapy in patients with anti-PD-1 resistant melanoma.
DOI: 10.6084/m9.figshare.28416041.v1
title: The gene-panel obtained by anti-PD-1 monotherapy for melanoma reveals prognostic markers and therapeutic targets

description: To search for key drug resistance biomarkers and potential chemotherapeutic agents for combination therapy in melanoma patients. The common up-regulated differentially expressed genes were acquired from two cohort studies, GSE91061 and PRJEB23709. Univariate and multivariate Cox regression survival analyses were performed to screen for important prognostic biomarkers. A multi-gene panel including <i>APP</i>, <i>ARHGAP42</i>, <i>GSTA4</i> and <i>UCHL1</i>, not only plays an important role in prognostic indicators, but also in predicting the probability of resistance to anti-PD-1 in patients with melanoma. Chemotherapy drug response models found five potential drugs, including all-trans retinoic acid, doxorubicin, etoposide, methotrexate and MG-132, were significantly associated with target genes in gene-panel. Molecular docking confirmed that potential drugs have good binding ability to target genes <i>APP</i>, <i>GSTA4</i> and <i>UCHL1,</i> suggesting that the multi-gene panel is expected to provide assistance for drug resistance prediction and prognosis assessment and combination therapy in patients with anti-PD-1 resistant melanoma.
DOI: 10.15468/dl.f3p6ut
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheirolophus crassifolius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009143-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359374
title: THE EFFECTIVENESS OF SPINNEKS IN PATIENTS WITH OSTEOARTHRITIS
DOI: 10.5281/zenodo.18359375
title: THE EFFECTIVENESS OF SPINNEKS IN PATIENTS WITH OSTEOARTHRITIS
DOI: 10.15468/dl.t976au
title: Occurrence Download

description: A dataset containing 3969 records in GBIF matching the query:
SELECT
 '277' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 20.3845909579754
 AND decimalLatitude &lt;= 24.552553756517728
 AND decimalLongitude &gt;= -15.870137835690546
 AND decimalLongitude &lt;= -10.38460487225261
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3969 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009137-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78eyhh
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheirolophus intybaceus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 492 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009144-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dg4wy
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aruncus dioicus",
 "Year 1950-2020"
 ]
}

 The dataset includes 32 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009145-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359377
title: СОВРЕМЕННЫЕ ПОДХОДЫ К МЕДИКАМЕНТОЗНОЙ ТЕРАПИИ ХСН ИШЕМИЧЕСКОГО ГЕНЕЗА

description: В статье рассмотрены современные подходы к медикаментозной терапии хронической сердечной недостаточности ишемического генеза. Проведен анализ патофизиологических механизмов заболевания, влияющих на прогрессирование ХСН, а также современных лекарственных групп, применяемых в клинической практике. Особое внимание уделено ингибиторам АПФ, блокаторам рецепторов ангиотензина II, бета-блокаторам, антагонистам минералокортикоидных рецепторов, ARNI и ингибиторам SGLT2. Рассмотрены принципы индивидуализации терапии в зависимости от сопутствующих заболеваний, а также вопросы безопасности и переносимости лекарственных средств. Подчеркнута необходимость комплексного подхода к лечению, направленного на улучшение прогноза и качества жизни пациентов. Представленные данные основаны на современных международных и российских клинических рекомендациях и исследованиях.
DOI: 10.34740/kaggle/dsv/14601533
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.18359376
title: СОВРЕМЕННЫЕ ПОДХОДЫ К МЕДИКАМЕНТОЗНОЙ ТЕРАПИИ ХСН ИШЕМИЧЕСКОГО ГЕНЕЗА

description: В статье рассмотрены современные подходы к медикаментозной терапии хронической сердечной недостаточности ишемического генеза. Проведен анализ патофизиологических механизмов заболевания, влияющих на прогрессирование ХСН, а также современных лекарственных групп, применяемых в клинической практике. Особое внимание уделено ингибиторам АПФ, блокаторам рецепторов ангиотензина II, бета-блокаторам, антагонистам минералокортикоидных рецепторов, ARNI и ингибиторам SGLT2. Рассмотрены принципы индивидуализации терапии в зависимости от сопутствующих заболеваний, а также вопросы безопасности и переносимости лекарственных средств. Подчеркнута необходимость комплексного подхода к лечению, направленного на улучшение прогноза и качества жизни пациентов. Представленные данные основаны на современных международных и российских клинических рекомендациях и исследованиях.
DOI: 10.5281/zenodo.18359386
title: O'ZBEKISTON AYOLLARIDA HOMLADORLIK DAVRIDA PSIXOLAGIK HOLAT TAHLILI
DOI: 10.5281/zenodo.18359387
title: O'ZBEKISTON AYOLLARIDA HOMLADORLIK DAVRIDA PSIXOLAGIK HOLAT TAHLILI
DOI: 10.15468/dl.q7ucpt
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chersodoma arequipensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009147-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31144024
title: CDC Heart Disease 2020 Semantic Vector Database

description: To ensure your dataset is professionally indexed and citable for a journal paper, your Figshare description should follow the <b>FAIR (Findable, Accessible, Interoperable, Reusable)</b> principles.Here is a comprehensive template you can copy and adapt.<b>Description</b><b>Overview</b>This item contains the <b>Semantic Vector Database</b> derived from the <b>CDC Indicators of Heart Disease (2022 UPDATE)</b> dataset. This database was specifically engineered to support <b>Retrieval-Augmented Generation (RAG)</b> and <b>Explainable AI (XAI)</b> research in cardiovascular informatics. It transforms over 400,000 tabular clinical records into a high-dimensional semantic space for sub-millisecond similarity search and evidence-based clinical reasoning.<b>Technical Specifications</b><b>Source Dataset:</b> CDC Behavioral Risk Factor Surveillance System (BRFSS) 2022.<b>Total Records (</b><b>$N$</b><b>):</b> 445,132 individual respondent profiles.<b>Embedding Model:</b> <code>sentence-transformers/all-MiniLM-L6-v2</code> (Transformer-based).<b>Vector Dimensions:</b> 384.<b>Vector Library:</b> FAISS (Facebook AI Similarity Search).<b>Index Type:</b> Flat L2 (Euclidean distance) for maximum precision.<b>Methodology</b>The vectorization process involved three primary stages:<b>Data Preprocessing:</b> Cleaning the 2022 CDC BRFSS raw data, focusing on 40 key health variables (e.g., <code>HadHeartAttack</code>, <code>SmokerStatus</code>, <code>BMI</code>, <code>CovidPos</code>).<b>Semantic Profiling:</b> Converting categorical tabular data into structured natural language "Clinical Profiles" to preserve the context of comorbidities.<b>Indexing:</b> Generating dense vector embeddings and persisting them into a FAISS index to enable semantic retrieval by an LLM (e.g., Llama-3.1).<b>Research Utility</b>This database is intended for researchers working on:<b>Clinical Decision Support:</b> Identifying high-risk patient cohorts via semantic similarity.<b>Public Health Trends:</b> Analyzing correlations between COVID-19 history and heart disease within the 2022 population.<b>Agentic AI:</b> Providing a "Ground Truth" retrieval layer for AI agents to reduce hallucinations in medical queries.<b>Included Files</b><code>index.faiss</code>: The serialized vector index containing the embeddings.<code>index.pkl</code>: The metadata mapping for the index
DOI: 10.6084/m9.figshare.31144024.v1
title: CDC Heart Disease 2020 Semantic Vector Database

description: To ensure your dataset is professionally indexed and citable for a journal paper, your Figshare description should follow the <b>FAIR (Findable, Accessible, Interoperable, Reusable)</b> principles.Here is a comprehensive template you can copy and adapt.<b>Description</b><b>Overview</b>This item contains the <b>Semantic Vector Database</b> derived from the <b>CDC Indicators of Heart Disease (2022 UPDATE)</b> dataset. This database was specifically engineered to support <b>Retrieval-Augmented Generation (RAG)</b> and <b>Explainable AI (XAI)</b> research in cardiovascular informatics. It transforms over 400,000 tabular clinical records into a high-dimensional semantic space for sub-millisecond similarity search and evidence-based clinical reasoning.<b>Technical Specifications</b><b>Source Dataset:</b> CDC Behavioral Risk Factor Surveillance System (BRFSS) 2022.<b>Total Records (</b><b>$N$</b><b>):</b> 445,132 individual respondent profiles.<b>Embedding Model:</b> <code>sentence-transformers/all-MiniLM-L6-v2</code> (Transformer-based).<b>Vector Dimensions:</b> 384.<b>Vector Library:</b> FAISS (Facebook AI Similarity Search).<b>Index Type:</b> Flat L2 (Euclidean distance) for maximum precision.<b>Methodology</b>The vectorization process involved three primary stages:<b>Data Preprocessing:</b> Cleaning the 2022 CDC BRFSS raw data, focusing on 40 key health variables (e.g., <code>HadHeartAttack</code>, <code>SmokerStatus</code>, <code>BMI</code>, <code>CovidPos</code>).<b>Semantic Profiling:</b> Converting categorical tabular data into structured natural language "Clinical Profiles" to preserve the context of comorbidities.<b>Indexing:</b> Generating dense vector embeddings and persisting them into a FAISS index to enable semantic retrieval by an LLM (e.g., Llama-3.1).<b>Research Utility</b>This database is intended for researchers working on:<b>Clinical Decision Support:</b> Identifying high-risk patient cohorts via semantic similarity.<b>Public Health Trends:</b> Analyzing correlations between COVID-19 history and heart disease within the 2022 population.<b>Agentic AI:</b> Providing a "Ground Truth" retrieval layer for AI agents to reduce hallucinations in medical queries.<b>Included Files</b><code>index.faiss</code>: The serialized vector index containing the embeddings.<code>index.pkl</code>: The metadata mapping for the index
DOI: 10.5281/zenodo.18359394
title: TIZIMLI YONDASHUV ASOSIDA MAKTABGACHA TA'LIM TASHKILOTI VA OILA XAMKORLIGINING PEDAGOGIK ASOSLARI
DOI: 10.5281/zenodo.18359395
title: TIZIMLI YONDASHUV ASOSIDA MAKTABGACHA TA'LIM TASHKILOTI VA OILA XAMKORLIGINING PEDAGOGIK ASOSLARI
DOI: 10.5517/ccdc.csd.cc2qrr7h
title: CCDC 2525267: Experimental Crystal Structure Determination

description: Related Article: zezhu  xiao|2026|CSD Communication|||
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.cc2qrrr0
title: CCDC 2525283: Experimental Crystal Structure Determination

description: Related Article: Meiqi Lin|2026|CSD Communication|||
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: 10.15468/dl.jk6sd8
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chersodoma jodopappa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 84 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009148-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afaqdf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chevreulia lycopodioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009150-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2nby7
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Cotoneaster acutifolius",
 "Year 1970-2000"
 ]
}

 The dataset includes 337 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009149-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359419
title: POSTOPERATIVE MANAGEMENT AND QUALITY OF LIFE ASSESSMENT IN PATIENTS WITH DOLICHOMEGACOLON FOLLOWING MINIMALLY INVASIVE SURGICAL TREATMENT: A COMPREHENSIVE REVIEW
DOI: 10.5281/zenodo.18359418
title: POSTOPERATIVE MANAGEMENT AND QUALITY OF LIFE ASSESSMENT IN PATIENTS WITH DOLICHOMEGACOLON FOLLOWING MINIMALLY INVASIVE SURGICAL TREATMENT: A COMPREHENSIVE REVIEW
DOI: 10.5281/zenodo.18359402
title: ИНГИБИТОРЫ SGLT2 У ПАЦИЕНТОВ С ХСН И ИБС: ДОКАЗАТЕЛЬНАЯ БАЗА И КЛИНИЧЕСКАЯ ПРАКТИКА

description: В данной статье рассматривается эффективность и безопасность ингибиторов SGLT2 у пациентов с хронической сердечной недостаточностью и ишемической болезнью сердца. Описаны основные механизмы действия препаратов, их влияние на работу сердца, кровообращение и структуру миокарда. Также отмечено, что применение SGLT2 ингибиторов способствует уменьшению клинических симптомов, улучшению общего состояния пациентов и снижению риска сердечно-сосудистых осложнений. Результаты исследований подтверждают хорошую переносимость препаратов и возможность их включения в комплексную терапию. Статья подчеркивает значимость интеграции SGLT2 ингибиторов в современную доказательную кардиологическую практику и их роль в повышении качества жизни пациентов.
DOI: 10.5281/zenodo.18359403
title: ИНГИБИТОРЫ SGLT2 У ПАЦИЕНТОВ С ХСН И ИБС: ДОКАЗАТЕЛЬНАЯ БАЗА И КЛИНИЧЕСКАЯ ПРАКТИКА

description: В данной статье рассматривается эффективность и безопасность ингибиторов SGLT2 у пациентов с хронической сердечной недостаточностью и ишемической болезнью сердца. Описаны основные механизмы действия препаратов, их влияние на работу сердца, кровообращение и структуру миокарда. Также отмечено, что применение SGLT2 ингибиторов способствует уменьшению клинических симптомов, улучшению общего состояния пациентов и снижению риска сердечно-сосудистых осложнений. Результаты исследований подтверждают хорошую переносимость препаратов и возможность их включения в комплексную терапию. Статья подчеркивает значимость интеграции SGLT2 ингибиторов в современную доказательную кардиологическую практику и их роль в повышении качества жизни пациентов.
DOI: 10.15468/dl.sx5ptc
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiliadenus glutinosus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 479 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009151-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z99c72
title: Occurrence Download

description: A dataset containing 64615228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((73.445 -34.841,96.362 -34.841,96.362 43.341,73.445 43.341,73.445 -34.841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 64615228 records from 3507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009124-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31175512
title: ST147 CRKP

description: CRKPs
DOI: 10.6084/m9.figshare.31175512.v2
title: ST147 CRKP

description: CRKPs
DOI: 10.6084/m9.figshare.31175512.v1
title: Dataset for in ST147 CRKP in China

description: CRKPs
DOI: 10.15468/dl.8z4zan
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptanthus amplexicaulis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 266 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001840-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2grjf7
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bruguiera sexangula",
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
}

 The dataset includes 111 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001841-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.