cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.53v4pn
title: Occurrence Download

description: A dataset containing 4528260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eriogonum heracleoides Nutt., Eriogonum pyrolifolium Hook. ex A.E.Murray, Eriogonum umbellatum Torr., Erythranthe guttata (DC.) G.L.Nesom, Erythronium grandiflorum Pursh, Erythronium montanum S.Watson, Erythronium oregonum Applegate, Festuca campestris Rydb., Festuca subulata Trin., Fragaria vesca L., Fragaria virginiana Duchesne, Frangula purshiana (DC.) J.G.Cooper, Fritillaria affinis (Schult. & Schult.f.) Sealy, Galium aparine L., Galium boreale L., Galium kamtschaticum Steller ex Schult. & Schult.f., Galium oreganum Britton, Galium triflorum Michx., Galium triflorum Michx., Gaultheria humifusa (Graham) Rydb., Gaultheria ovatifolia A.Gray, Gaultheria shallon Pursh, Gayophytum diffusum Torr. & A.Gray, Gentiana calycosa Griseb., Geranium robertianum L., Geum macrophyllum Willd., Goodyera oblongifolia Raf., Graphephorum cernuum (Trin.) Röser & Tkach, Gymnocarpium dryopteris (L.) Newman, Hemitomes congestum A.Gray, Heracleum maximum W.Bartram, Hieracium albiflorum Hook., Hieracium scouleri Hook., Hieracium umbellatum L., Hieracium triste Willd. ex Spreng., Holodiscus discolor (Pursh) Maxim., Hydrophyllum capitatum Douglas ex Benth., Hydrophyllum fendleri (A.Gray) A.Heller, Juncus drummondii E.Mey., Juncus mertensianus Bong., Juncus parryi Engelm., Juniperus communis L., Koeleria macrantha (Ledeb.) Schult., Koeleria spicata (L.) Barberá, Quintanar, Soreng & P.M.Peterson, Koenigia davisiae (W.H.Brewer ex A.Gray) T.M.Schust. & Reveal, Lactuca muralis (L.) Gaertn., Lappula redowskii (Hornem.) Greene, Larix lyallii Parl., Leptarrhena pyrolifolia (D.Don) R.Br. ex Ser., Ligusticum canbyi (J.M.Coult. & Rose) J.M.Coult. & Rose, Ligusticum grayi J.M.Coult. & Rose, Lilium columbianum Leichtlin, Lilium philadelphicum L., Linnaea borealis L., Lithospermum californicum A.Gray, Lomatium martindalei (J.M.Coult. & Rose) J.M.Coult. & Rose, Lomatium nudicaule (Nutt.) J.M.Coult. & Rose)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4528260 records from 5429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001502-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh5sz7
title: Occurrence Download

description: A dataset containing 4309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121 36,-118 36,-118 39,-121 39,-121 36))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sequoiadendron giganteum"
 ]
}

 The dataset includes 4309 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010950-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm7en5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anatrachyntis badia",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010951-251009101135966/datasets/export for details.
DOI: 10.4121/242d9474-e522-4518-8917-8f284fc8a7a8
title: Data and code underlying the online perceived risk study

description: This study explores the dynamic nature of perceived risk in vehicle interactions. Using a novel simulation-based approach, time-continuous perceived risk data were obtained from over 140k ratings by 2,164 participants across various traffic scenarios. This package contains the collected perceived risk data, corresponding kinematic data of the simulation, code and software implementation in MATLAB, Python, SPSS, and Origin for data processing, statistical analysis, model calibration, perceived risk prediction, SHAP analysis and visualisation.
DOI: 10.4121/242d9474-e522-4518-8917-8f284fc8a7a8.v2
title: Data and code underlying the online perceived risk study

description: This study explores the dynamic nature of perceived risk in vehicle interactions. Using a novel simulation-based approach, time-continuous perceived risk data were obtained from over 140k ratings by 2,164 participants across various traffic scenarios. This package contains the collected perceived risk data, corresponding kinematic data of the simulation, code and software implementation in MATLAB, Python, SPSS, and Origin for data processing, statistical analysis, model calibration, perceived risk prediction, SHAP analysis and visualisation.
DOI: 10.15468/dl.yp7fz6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABA6847"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035916-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsdqzz
title: Occurrence Download

description: A dataset containing 212243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulmus glabra",
 "Year 1956-2022"
 ]
}

 The dataset includes 212243 records from 861 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035900-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nct76h
title: Occurrence Download

description: A dataset containing 1824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taeniamia fucata"
 ]
}

 The dataset includes 1824 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035917-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.959g8c
title: Occurrence Download

description: A dataset containing 675496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium myrtillus",
 "Year 1956-2022"
 ]
}

 The dataset includes 675496 records from 1076 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035898-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yrege
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mitotichthys meraculus"
 ]
}

 The dataset includes 42 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083056-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/oevwcd
title: DesktopObjects-360

description: The dataset introduced in "PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting"

DesktopObjects-360, a benchmark specifically designed for 3D segmentation for radiance field (3DGS and NeRF). The key features include: 
1. The dataset provides COLMAP format data, making it directly applicable to 3DGS and NeRF modeling. 
2. 3D Instance annotations are available for Gaussian models. 
3. Pixel-level instance segmentation annotations are provided for 2D images. 
4. The instance IDs for 2D and 3D objects remain consistent across different viewpoints. 

The dataset contains a total of 3,364 multi-view images with fine-grained 2D and 3D instance annotations. Each scene includes 7--10 object instances (56 annotated 3D instances in total), covering common desktop items under varying layouts and occlusions. To support instance segmentation tasks, we provide 26,042 pixel-accurate 2D instance masks across all scenes, with an average of 465 masks per 3D instance, ensuring dense and consistent multi-view correspondence. 

The DesktopObjects-360 dataset is organized in a hierarchical directory structure, with a root folder containing six subdirectories (Desk1 through Desk6) and one PointCloud.7z. 

Each Desk folder follows a consistent organization scheme, as exemplified by Desk1 which contains subfolders for 
1. test data (Desk1_test), 
2. original images (images), 
3. segmentation masks (mask), 
4. visualized masks (mask_visualize), 
5. pretrained model annotations (annotated\_pretrained_model(2dgs)), 
6. and a class label file (class.txt).
In addition, we also provide pre-trained 2D Gaussian Splatting (2DGS) models with annotations for 10 scenes from the Nerds360 dataset.
DOI: 10.25824/redu/wfogxz
title: Sistematização de dados em gráficos e quadros acerca da licenciatura em educação do campo da UFERSA

description: O dados da pesquisa vinculada à tese “PERCURSOS CURRICULARES NARRADOS NA LICENCIATURA EM EDUCAÇÃO DO CAMPO: NAVEGAÇÕES RUMO À HABILITAÇÃO EM CIÊNCIAS DA NATUREZA DA UFERSA”, foram sistematizados em gráficos e quadros, resultantes da análise qualitativa de dados da Licenciatura em Educação do Campo da UFERSA e das entrevistas realizadas com professores e discentes participantes do referido curso. Por razões de confidencialidade todas as entrevistas foram devidamente anonimizadas. Assim, os dados completos não serão disponibilizados publicamente, em respeito à confidencialidade acordada com os participantes no ano de 2021, número do Certificado de Apresentação de Apreciação Ética: 51841221.1.0000.8142 apresentado pelo comitê de ética. Para eventuais dúvidas ou solicitações adicionais, os interessados poderão entrar em contato com os autores por meio dos e-mails:a263169@dac.unicamp.br ; inesrosa@unicamp.br.
DOI: 10.3886/e243925v1
title: NNDSS - Table II. Vibriosis

description: NNDSS - Table II. Vibriosis - 2018. In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states or territory.

Note:

This table contains provisional cases of selected national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:

C.N.M.I.: Commonwealth of Northern Mariana Islands.
U: Unavailable. —: No reported cases. N: Not reportable. NA: Not Available. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.

* Case counts for reporting years 2017 and 2018 are provisional and subject to change. Data for years 2013 through 2016 are finalized. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf.
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.3bnbkn
title: Occurrence Download

description: A dataset containing 111652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pisoniviricetes"
 ]
}

 The dataset includes 111652 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011027-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/a0ae23ea554db47e9eb7596a8c51691d
title: Precipitation-productivity relationships in desert grassland: a test of the double asymmetry hypothesis.

description: The purpose of this data package is to provide the derived data and R code for analyses presented in the manuscript by Collins et al. Knowing the relationship between precipitation (PPT) and aboveground net primary productivity (ANPP) is essential for understanding and modeling the global carbon cycle. Across grassland to forest gradients, the PPT-ANPP relationship is well-defined and non-linear. Temporal patterns within a site over time, however, are more variable than spatial patterns and nearly always linear. Linear relationships, however, are inconsistent with positive asymmetry occurring when the increase in ANPP in a wet year is greater than the decline in a dry year. The double asymmetry model predicts that concave down non-linearities will occur when extreme high and low PPT years are included in a time series. We used long-term ANPP data from ambient plots, plus rainfall addition and reduction experiments to test the predictions of the double asymmetry model. By combining experimental drought, plus water and nitrogen addition experiments we found some support for the double asymmetry model. However, the response was concave up not down under high precipitation coupled with nitrogen addition. By experimentally extending the range of monsoon precipitation we generated a significant although weak, non-linear PPT-ANPP relationship, but only when nutrient limitation was alleviated. Our results demonstrate that multiple interacting factors govern the PPT-ANPP relationship within a site over time.
DOI: 10.5255/ukda-sn-9383-1
title: Growing Up in Scotland: Cohort 1: Sweep 11, 2021-2023: Special Licence Access
title: Growing Up in Scotland, 2005-: Special Licence Access
title: GUS

description: &lt;div&gt;&lt;div&gt;The &lt;span style="font-style: italic;"&gt;Growing Up in Scotland&lt;/span&gt; (GUS) study is a large-scale longitudinal social survey which follows the lives of several groups of Scottish children from infancy through childhood and adolescence. It aims to provide important information on children, young people and their families in Scotland. The study forms a central part of the Scottish Government's strategy for the long-term monitoring and evaluation of its policies for children and young people, with a specific focus on the early years. The study seeks both to describe the characteristics, circumstances and experiences of children in their early years in Scotland and, through its longitudinal design, to generate a better understanding of how children's start in life can shape their longer term prospects and development&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Since 2005 fieldwork has been undertaken by the Scottish Centre for Social Research. The survey design for Birth Cohort 1 consisted of recruiting the parents of an initial total of 5,217 children aged 10 months old in 2005 and interviewing them annually until their child reached age six. Further fieldwork was then undertaken at ages 8, 10, 12, 14 and 17-18 with a sample boost added at age 12.&lt;/div&gt;&lt;br&gt;Data for sweeps 1-9 were collected via an in-home, face-to-face interview with self-complete sections. Fieldwork for sweep 10 was disrupted due to the COVID pandemic. As a result, the final portion of the data was collected via web and telephone questionnaires. Sweep 11 data were gathered via web, telephone and face-to-face surveys of cohort members and their parent/carer.&lt;/div&gt;&lt;div&gt;&lt;br&gt;Further information about the survey may be found on the &lt;a href="https://growingupinscotland.org.uk/" target="_blank"&gt;Growing Up in Scotland&lt;/a&gt; website.&lt;br&gt;&lt;br&gt;In May 20205, data and documentation for Cohort 1, Sweeps 1-11 were released as individual studies (SNs 9373-9383 and 9386-9387). Previously they were held under one study (SN 5760) which has been withdrawn from the data catalogue.&lt;br&gt;&lt;br&gt;&lt;/div&gt; &lt;br&gt;
DOI: 10.25549/inscriptifact-ouc1sto1607677
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.25549/jrbm-c91-759
title: Kankai ibun, vol. 5, 1807

description: Kankai ibun, [1807], volume 5 = Description and travel of circumnavigation of seas, [1807], volume 5 = 環海 異聞 五 文化 4. Volume five of a manuscript by Gentaku Ōtsuki and Kōkyō Shimura who drew from four Japanese fishermen the story of their voyage around the world during repeated interviews. The Kankai Ibun is an account of their journey when they were sent off-course en route to the capital, Edo. The fishermen were rescued by a Russian ship and taken to late 18th / early 19th century Europe and, most especially, Russia.; The cargo ship, Wakamiyamaru, left from the port of Ishimaki in Sendai-han, today’s Miyagi Prefecture, in Japan carrying rice and lumber with 16 crew members for Edo, today’s Tokyo, on November 27th, 1793. Shipwrecked and drifted in the Pacific Ocean for half a year, they finally landed in one of the islands of the Andreanof Islands, a part of the Aleutian Islands on May 10th, 1794. They were transferred to Irkutsk by Russians where they stayed until the spring of 1803. They were then called in by Alexander I of Russia to St. Petersburg where they stayed from April to June in 1803, and from where they started their journey back home. They were included in the Rezanov mission on the first Russian global circumnavigation by a ship Nadezhda. It took them 16 months to reach the port of Nagasaki, Japan in September, 1804 since they left in June, 1803. Of the sixteen, five crewmen got on board. Four returned home in Sendai; one, who had become an interpreter, returned to Russia with Rezanov.
DOI: 10.5255/ukda-sn-8200-10
title: Death Registrations in England and Wales, 1993-2023: Secure Access
title: Mortality statistics, England and Wales

description: The &lt;i&gt;Death Registrations in England and Wales, 1993-2023: Secure Access&lt;/i&gt; study includes annual data files for all deaths registered in England and Wales from 1993 to 2022. Death registration is a legal requirement under the Births and Deaths Registration Act 1836. The registration of deaths occurring in England and Wales is a service carried out by the Local Registration Service in partnership with the General Register Office (GRO). Information collected at death registration is recorded on the Registration Online (RON) system by registrars. The information supplied at the time of registration is from 1 of 4 sources:&lt;ol&gt;&lt;li&gt;details supplied by the doctor when certifying a death&lt;/li&gt;&lt;li&gt;details supplied by the informant to the registrar&lt;/li&gt;&lt;li&gt;details supplied by a coroner to the registrar following an investigation&lt;/li&gt;&lt;li&gt;details derived from the information supplied above&lt;/li&gt;&lt;/ol&gt;Death registration data are passed to the Office for National Statistics electronically from GRO for statistical purposes. Each annual dataset is a static file of death registration records available at the time the annual subset was closed. Revisions to records can still be made after the subset has been finalised but these will not be reflected in the annual dataset or used to compile statistics. The annual datasets include deaths that have been registered in that calendar year, a small percentage of these deaths may have occurred in previous years (2.9% in 2001 and 4.8% in 2015). Deaths to those usually resident in England or Wales who die abroad are not included in the dataset. Deaths registered in England and Wales to those whose usual residence is outside England and Wales are included.&lt;br&gt;
&lt;br&gt;
Further information about mortality statistics is available from the Office for National Statistics &lt;a class="external" href="https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths" title="Deaths"&gt;deaths&lt;/a&gt; web page.&lt;br&gt;
&lt;br&gt;
Prospective users will need to apply for access to this controlled access data via the UK Data Service Secure Lab. Further information is available on the &lt;a href="https://ukdataservice.ac.uk/find-data/access-conditions/secure-application-requirements/" target="_blank"&gt;Apply to Access Controlled Data in SecureLab&lt;/a&gt; web pages.&lt;br&gt;
&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information:&lt;/span&gt;&lt;br&gt;For the 10th edition (May 2025), the 2023 data file has been added to the study, along with an updated 2022 data file. The variable catalogue has also been updated.&lt;br&gt;