cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.25np22
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Specimen references on the Rubiaceae family held by theTAN Herbarium"
 ]
}

 The dataset includes 442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049781-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/1c4f-s609
title: short_text

description: This collection includes multiple short text classification datasets designed for various natural language processing tasks. It contains several topic classification datasets, such as AG'News, Snippets, and TMNNews, which cover a wide range of topics and domains to evaluate the effectiveness of classification models. Additionally, the collection includes a binary sentiment classification dataset, such as Twitter, aimed at determining positive or negative sentiment in text. All datasets are provided in CSV format, with the first column representing the labels (e.g., categories or sentiments) and the second column containing the corresponding text content. These datasets are particularly useful for benchmarking machine learning models and conducting experiments on both topic and sentiment classification tasks. They cover diverse real-world applications, such as news categorization, domain-specific snippet classification, and social media sentiment analysis, making them versatile resources for research and development in computational linguistics.
DOI: 10.15468/dl.3hwbze
title: Occurrence Download

description: A dataset containing 8102 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is tef-database"
 ]
}

 The dataset includes 8102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049782-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kswsr2
title: Occurrence Download

description: A dataset containing 4596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.23.10_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 4596 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049783-241126133413365/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.28099403
title: <b>Pulmonary Microbiota and Lung Cancer</b>

description: This study systematically analyzes the research landscape of lung cancer and pulmonary microbiota from 2015 to 2024 using bibliometric methods. Data from the Web of Science Core Collection were examined to identify key contributors, research hotspots, and evolving trends.<b> </b>Results revealed a significant shift in focus from infections and inflammation to immunotherapy and microbial biomarkers, reflecting a growing emphasis on clinical translation. Major contributors, including China and the United States, along with leading journals, have driven progress in this interdisciplinary field, highlighting the role of microbial dysbiosis in tumor development and immune modulation.The findings underscore the potential of pulmonary microbiota as diagnostic tools and therapeutic targets, particularly in enhancing immunotherapy outcomes. This study provides a comprehensive overview of the field, offering valuable insights into its current status and future directions, and lays a foundation for further exploration in personalized medicine and multidisciplinary collaborations.
DOI: 10.6084/m9.figshare.28099403.v1
title: <b>Pulmonary Microbiota and Lung Cancer</b>

description: This study systematically analyzes the research landscape of lung cancer and pulmonary microbiota from 2015 to 2024 using bibliometric methods. Data from the Web of Science Core Collection were examined to identify key contributors, research hotspots, and evolving trends.<b> </b>Results revealed a significant shift in focus from infections and inflammation to immunotherapy and microbial biomarkers, reflecting a growing emphasis on clinical translation. Major contributors, including China and the United States, along with leading journals, have driven progress in this interdisciplinary field, highlighting the role of microbial dysbiosis in tumor development and immune modulation.The findings underscore the potential of pulmonary microbiota as diagnostic tools and therapeutic targets, particularly in enhancing immunotherapy outcomes. This study provides a comprehensive overview of the field, offering valuable insights into its current status and future directions, and lays a foundation for further exploration in personalized medicine and multidisciplinary collaborations.
DOI: 10.5281/zenodo.14560767
title: gfs20241227v1
DOI: 10.5281/zenodo.14560768
title: gfs20241227v1
DOI: 10.15468/dl.y9hqtg
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Specimen references on the Sapotaceae family held by the TAN Herbarium"
 ]
}

 The dataset includes 382 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049784-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya386v
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-8.28441 43.06546,-8.15548 43.06546,-7.74741 43.06546,-7.74741 43.3135,-8.28441 43.3135,-8.28441 43.06546))",
 "Geometry POLYGON((-8.15548 43.08091,-7.76363 43.08091,-7.76363 43.32832,-8.15548 43.32832,-8.15548 43.08091))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Narcissus cyclamineus DC."
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049785-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzuc8t
title: Occurrence Download

description: A dataset containing 834 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database about reference specimens for medicinal plants, in the Apocynaceae family, owned by CNARP"
 ]
}

 The dataset includes 834 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049786-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ath2e
title: Occurrence Download

description: A dataset containing 2099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.12.16_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 2099 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049787-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxejbp
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database on reference specimens for medicinal plants of the Asteraceae family, conserved at the CNARP herbarium"
 ]
}

 The dataset includes 636 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049788-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snrhng
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database on reference specimens for medicinal plants of the Arecaceae family, conserved at the CNARP herbarium"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049791-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/2ntg-y611
title: short_text

description: This collection includes multiple short text classification datasets designed for various natural language processing tasks. It contains several topic classification datasets, such as AG'News, Snippets, and TMNNews, which cover a wide range of topics and domains to evaluate the effectiveness of classification models. Additionally, the collection includes a binary sentiment classification dataset, such as Twitter, aimed at determining positive or negative sentiment in text. All datasets are provided in CSV format, with the first column representing the labels (e.g., categories or sentiments) and the second column containing the corresponding text content. These datasets are particularly useful for benchmarking machine learning models and conducting experiments on both topic and sentiment classification tasks. They cover diverse real-world applications, such as news categorization, domain-specific snippet classification, and social media sentiment analysis, making them versatile resources for research and development in computational linguistics.
DOI: 10.5281/zenodo.14561064
title: Global Heavy Metal Testing Market 2024 To 2033

description: Heavy Metal Testing Market Size, Trends and Insights By Type (Arsenic, Cadmium, Lead, Mercury, Others), By Application (Food & Beverage, Agriculture, Pharmaceuticals, Environmental Testing, Animal Feed, Others), By Technology (ICP-MS & -OES, Atomic absorption spectroscopy (AAS), Others) and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Heavy Metal Testing Market was valued at USD 3.3 Billion in 2024 and is expected to reach USD 5.6 Billion by 2033, at a CAGR of 6.7% during the forecast period 2024 – 2033.

Heavy metal testing is a process used to detect and measure the presence of heavy metals in various materials, including food, water, soil, cosmetics, and consumer products. Heavy metals are metallic elements with high atomic weights and densities, such as lead, mercury, cadmium, arsenic, and chromium.For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52112
DOI: 10.5281/zenodo.14561065
title: Global Heavy Metal Testing Market 2024 To 2033

description: Heavy Metal Testing Market Size, Trends and Insights By Type (Arsenic, Cadmium, Lead, Mercury, Others), By Application (Food & Beverage, Agriculture, Pharmaceuticals, Environmental Testing, Animal Feed, Others), By Technology (ICP-MS & -OES, Atomic absorption spectroscopy (AAS), Others) and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Heavy Metal Testing Market was valued at USD 3.3 Billion in 2024 and is expected to reach USD 5.6 Billion by 2033, at a CAGR of 6.7% during the forecast period 2024 – 2033.

Heavy metal testing is a process used to detect and measure the presence of heavy metals in various materials, including food, water, soil, cosmetics, and consumer products. Heavy metals are metallic elements with high atomic weights and densities, such as lead, mercury, cadmium, arsenic, and chromium.For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52112
DOI: 10.15468/dl.28qexx
title: Occurrence Download

description: A dataset containing 98877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Halyomorpha halys (Stål, 1855)"
 ]
}

 The dataset includes 98877 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049789-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpymkv
title: Occurrence Download

description: A dataset containing 88161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.24_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 88161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049790-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jj536
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database on reference specimens for medicinal plants of the Araceae family, conserved at the CNARP herbarium"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049792-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.r0pmvm4h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (352 records)
DOI: 10.15468/dl.fzqhzf
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-49.32797 26.82552,-4.05797 26.82552,-4.05797 46.94553,-49.32797 46.94553,-49.32797 26.82552))",
 "TaxonKey is Lampanyctus lineatus Tåning, 1928"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049793-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66655c
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database on reference specimens for medicinal plants of the Euphorbiaceae family, conserved at the CNARP herbarium"
 ]
}

 The dataset includes 1014 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049794-241126133413365/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.28099376
title: <b>Schistosomiasis in Sub-Saharan Africa</b>

description: Using geostatistical and machine learning models, we analyzed spatio-temporal trends in schistosomiasis prevalence and heavy-intensity infections among children in SSA at sub-national scales from 2000 to 2022. Data were sourced from the Expanded Special Project to Eliminate Neglected Tropical Diseases (ESPEN) database and a systematic review of published literature, focusing on children under 18 in endemic regions. Counterfactual analyses were conducted to assess the impact of MDA, socioeconomic changes, and environmental factors on prevalence trends. Projections for 2030 were developed using deep learning models to assess the feasibility of WHO's targets and identify intervention priorities in high-risk areas.
DOI: 10.15468/dl.cuz64r
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database about reference specimens of the Anacardiaceae family owned by CNARP"
 ]
}

 The dataset includes 193 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049798-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftww9d
title: Occurrence Download

description: A dataset containing 2935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.14.2_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 2935 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhtb6d
title: Occurrence Download

description: A dataset containing 98877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Halyomorpha halys (Stål, 1855)"
 ]
}

 The dataset includes 98877 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049795-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2q7nb
title: Occurrence Download

description: A dataset containing 23258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pogonognathellus flavescens (Tullberg, 1871), Pogonognathellus longicornis (O.F.Müller, 1776), Yoshiicerus persimilis (Yu, Ding & Ma, 2017), Tomocerus nigrus Sun, Y, Liang, A-P, Huang & F-S, 2006, Tomocerus vulgaris (Tullberg, 1871), Tomocerus qinae Yu, Yao & Hu, 2016, Tomocerus maximus Liu, Hou & Li, 1999, Plutomurus gul (R.Yosii, 1966), Novacerus tasmanicus (H.Womersley, 1937), Harlomillsia oculata (Mills, 1937), Oncopodura yosiiana A.Szeptycki, 1977, Cyphoderus albinus H.Nicolet, 1842, Lepidocyrtus fimetarius H.Gisin, 1964, Salina celebensis (C.Schäffer, 1898), Sinella curviseta Brook, 1882, Dicranocentrus wangi Ma, YT, Chen & J-X, 2007, Orchesella cincta (C.Linnaeus, 1758), Folsomia candida V.Willem, 1902, Paranurophorus simplex Denis & J-R, 1929, Desoria trispinata (Mac Gillivray, 1896))"
 ]
}

 The dataset includes 23258 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049796-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu7zvv
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database on reference specimens for medicinal plants of the Fabaceae family, conserved at the CNARP herbarium"
 ]
}

 The dataset includes 1127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049799-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3rsbd
title: Occurrence Download

description: A dataset containing 11137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.4.1_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 11137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049800-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyhyrh
title: Occurrence Download

description: A dataset containing 34136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.6.4_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 34136 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049802-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whejcw
title: Occurrence Download

description: A dataset containing 9384 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is tan-database"
 ]
}

 The dataset includes 9384 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049803-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs56a6
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database about reference specimens for medicinal plants, in the Verbenaceae family, owned by CNARP"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049804-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m9uf6
title: Occurrence Download

description: A dataset containing 1930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geum pyrenaicum Mill."
 ]
}

 The dataset includes 1930 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049805-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12975488
title: Code and Data for Transfer Learning for Multi-material Classification of Transition Metal Dichalcogenides with Atomic Force Microscopy

description: The data consists of atomic force microscopy (AFM) images of metal organic chemical deposition (MOCVD) grown transition metal dichalcogenides (TMDs), MoS2, WS2, WSe2, MoSe2, and Mo-WSe2, used for the results reported in the manuscript "Transfer Learning for Multi-material Classification of Transition Metal Dichalcogenides with Atomic Force Microscopy". The TMDs are grown at the Penn State's 2D crystal consortium (2DCC). The raw data is also available on the LiST (https://data.2dccmip.org/Rut1mMC8u25M). The file names have the format: imageSNo_TMD_sampleLabel_sampleId_set.tif, where SNo, TMD, sampleLabel, sampleId, and set are serial numbers (1, 2, 3, ...), class of TMD (e.g. MoS2, WS2, ...), sample label, sample id, and train or test set, as used in the manuscript. There could be multiple images from the same samples (taken from the center, edges, etc, of wafer). Images from the same sample have the same sample label and sample id. In using the data, it is recommended that the same sample is not present in more than one data set to avoid data leakage. Additionally, github_static consists of the codes used to generate the results reported in the manuscript.