cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/hkdee6
title: Frais de scolarité et de subsistance des étudiants à temps plein dans les universités et collèges du Canada qui confèrent des grades, 1993-2021 [fichiers Excel]
title: Frais de scolarité et de subsistance, 1993-2021
title: FSSUC 1993-2021
title: Tuition and Living Accommodation Costs for Full-time Students at Canadian Degree-granting Institutions, 1993-2021 [Excel files]

description: &lt;p&gt;L'Enquête sur les frais de scolarité et de subsistance des étudiants à temps plein dans les universités et collèges du Canada qui confèrent des grades vise à recueillir des renseignements financiers des étudiants (frais de scolarité et de subsistance) au sujet de l'ensemble des universités et des collèges conférant des diplômes au pays.&lt;/p&gt; &lt;p&gt;Cette information : &lt;br&gt;- donne aux parties intéressées, au public et aux étudiants un guide annuel sur les frais de scolarité en fournissant également de l'information sur les tendances sur ces frais de scolarité; &lt;br&gt;- contribue à une meilleure compréhension de la situation financière des étudiants à ce niveau d'éducation; &lt;br&gt;- facilite l'élaboration de politiques dans ce secteur; &lt;br&gt;- est utilisée pour le calcul de l'Indice des prix à la consommation; &lt;br&gt;- facilite les comparaisons interprovinciales; &lt;br&gt;- facilite les comparaisons entre les institutions.&lt;/p&gt; &lt;p&gt;Chaque année, la collecte de données se fait pour l'année précédente et l'année académique en cours. Les données de l'année académique précédente sont ainsi révisées et finales tandis que les données de l'année académique en cours sont préliminaires et seront révisées avec les données de la collecte du cycle suivant.&lt;/p&gt; &lt;p&gt;
description: Frais de scolarité et de subsistance des étudiants à temps plein dans les universités et collèges du Canada qui confèrent des grades
description: Migration from Nesstar
DOI: 10.5683/sp3/rvf20y
title: Herfindahl Indexes, Canada and Provinces, 2004-2009 [Excel]
title: Herfindahl Indexes, Canada and Provinces, 2004-2009
title: HI Canada and Provinces, 2004-2009

description: Concentration statistics summarize the size distribution of units within an industry. Numerous measures have been used for various purposes. These tables present data for the two most common: concentration ratios (CR) and Herfindahl indexes (HI). The CR and HI emphasize different aspects of the size distribution. The CR measures the importance of the largest enterprises directly while the Herfindahl index takes the entire size distribution of enterprises into account. These statistics are classified by North American Industry Classification System (NAICS) and the Standard Geographical Classification (SGC). The Annual Survey of Manufactures and Logging collects information on over 250 different industries. Beginning in 2004, the Annual Survey of Manufactures and Logging (ASML) replaces the Annual Survey of Manufactures and the Annual Survey of Forestry. While the ASML covers the same target population as its predecessors, this new survey ushers in a number of conceptual and methodological changes intended to reduce response burden, enhance data quality and streamline survey operations. Two changes have the greatest impact on the comparability of the principal statistics series for manufacturing (published in CANSIM tables 301-0003 and 301-0006) used to compile this product: some redefinition of the survey content and a change in the coverage for published statistics. Beginning with reference year 2004, the principal statistics published for manufacturing cover the activities of all businesses classified as manufacturers in Canada. These data series are not strictly comparable with manufacturing principal statistics previously published which covered the activities of businesses with annual sales greater than or equal to $30,000. This dataset contains 6 separate tables , one for each year.
description: Herfindahl Indexes
description: Migration from Nesstar
DOI: 10.5683/sp3/pbgz6m
title: Herfindahl Indexes, Canada, 1995-1998 [Excel]
title: Herfindahl Indexes, Canada, 1995-1998
title: HI Canada, 1995-1998

description: Concentration statistics summarize the size distribution of units within an industry. Numerous measures have been used for various purposes. These tables present data for the two most common: concentration ratios (CR) and Herfindahl indexes (HI). The CR and HI emphasize different aspects of the size distribution. The CR measures the importance of the largest enterprises directly while the Herfindahl index takes the entire size distribution of enterprises into account. These statistics are classified by the North American Industry Classification System (NAICS). The source of the information was the Annual Survey of Manufactures.
description: Migration from Nesstar
description: Herfindahl Indexes
DOI: 10.5683/sp3/v0yyhp
title: Households and the Environment Survey, 2021 [Canada] [CSV]
title: HES 2021
title: Enquête sur les ménages et l'environnement (EME), 2021 [Canada] [CSV]

description: &lt;p&gt;The first phase of the Households and the Environment Survey (HES) measures the environmental practices and behaviours of Canadian households that relate to the condition of our air, water and soils.&lt;/p&gt; &lt;p&gt;The Households and the Environment Survey: Energy Use phase 3 (HEUS phase 3) is a follow up on the Households and the Environment survey (HES phase 1) and on the Households and the Environment Survey: Energy Use phase 2 (HEUS phase 2). The goal of the survey is to obtain permission from householders to collect information on their energy consumption from their energy provider(s). During HEUS phase 3, the energy providers are contacted in order to obtain the energy consumption data for the respondents who filled the consent form in HEUS phase 2. Together, the 3 phases of this survey were designed to collect data to develop and improve three key environmental indicators: air quality, water quality and greenhouse gas emissions.&lt;/p&gt;
description: Migration from Nesstar
DOI: 10.5281/zenodo.17656531
title: Benchmark Dataset for AssayMatch: Learning to Select Data for Molecular Activity Models

description: Benchmarking dataset for AssayMatch: Learning to Select Data forMolecular Activity Models. This tarbell file contains all training and testing datasets for 15 runs as described in the evaluation procedure, as well as checkpoints for the embedding finetuning procedure, and the TRAK scores.
DOI: 10.5281/zenodo.17656532
title: Benchmark Dataset for AssayMatch: Learning to Select Data for Molecular Activity Models

description: Benchmarking dataset for AssayMatch: Learning to Select Data forMolecular Activity Models. This tarbell file contains all training and testing datasets for 15 runs as described in the evaluation procedure, as well as checkpoints for the embedding finetuning procedure, and the TRAK scores.
DOI: 10.5683/sp3/vveroo
title: Health Regions: Boundaries, Geographic Information and Population Estimates, 2000 [Canada] [Excel files, digital mapping files]
title: Boundaries, Geographic Information and Population Estimates
title: HREG 2000

description: Health regions are defined by provincial governments as the areas of responsibility for regional healthboards (i.e., legislated) or as regions of interest to health care authorities. In 1998, Statistics Canada, together with the Canadian Institute for Health Information and the Advisory Council on Health Info-Structure (Health Canada),consulted stakeholders across Canada to identify current and future needs for health information. These consultations identified a need for comprehensive and comparable sub-provincial data. In response to this need, health regions were investigated as an alternative geographic unit for disseminating health information. &lt;br&gt; This report provides an overview of health regions in Canada, along with sourcesand methodologies for developing and understanding the health region data linkage and digital boundary files, geographic attributes, and population estimates. The same health region boundaries contained in Health Regions - 2000 have been used in the sample design for the Canadian Community Health Survey. Future boundary changes may cause adjustments to the survey collection and dissemination process, or sample revisions for future survey cycles. &lt;p&gt;For current Health Regions data, refer to &lt;a href="https://www150.statcan.gc.ca/n1/en/catalogue/82-402-X" target="_blank"&gt;Statistics Canada&lt;/a&gt;.&lt;/p&gt;
description: Migration from Nesstar
description: Health Regions
DOI: 10.5683/sp3/x3uvyp
title: Herfindahl Indexes, Canada, 1999-2002 [Excel]
title: Herfindahl Indexes, Canada, 1999-2002
title: HI Canada, 1999-2002

description: Concentration statistics summarize the size distribution of units within an industry. Numerous measures have been used for various purposes. These tables present data for the two most common: concentration ratios (CR) and Herfindahl indexes (HI). The CR and HI emphasize different aspects of the size distribution. The CR measures the importance of the largest enterprises directly while the Herfindahl index takes the entire size distribution of enterprises into account. These statistics are classified by the North American Industry Classification System (NAICS). The information source was the Annual Survey of Manufactures.
description: Migration from Nesstar
description: Herfindahl Indexes
DOI: 10.5683/sp3/h1mbfu
title: Herfindahl Indexes, Canada, 1999-2002 [Excel]
title: Herfindahl Indexes, Canada, 1999-2002
title: HI Canada, 1999-2002

description: Concentration statistics summarize the size distribution of units within an industry. Numerous measures have been used for various purposes. These tables present data for the two most common: concentration ratios (CR) and Herfindahl indexes (HI). The CR and HI emphasize different aspects of the size distribution. The CR measures the importance of the largest enterprises directly while the Herfindahl index takes the entire size distribution of enterprises into account. These statistics are classified by the North American Industry Classification System (NAICS). The information source was the Annual Survey of Manufactures.
description: Herfindahl Indexes
description: Migration from Nesstar
DOI: 10.15468/dl.zgyazy
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-120.22703 8.10051,-70.77297 8.10051,-70.77297 27.89949,-120.22703 27.89949,-120.22703 8.10051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jacaratia mexicana"
 ]
}

 The dataset includes 842 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046714-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/warn5p
title: Health regions: boundaries and correspondence with census geography, 2011 [Canada] [Excel files, digital mapping files]
title: Health regions: boundaries and correspondence with census geography
title: HREG 2011
title: Régions sociosanitaires : limites et correspondance avec la géographie du recensement, 2011

description: This issue describes in detail the health region limits as of October 2011 and their correspondence with the 2006 and 2001 Census geography. Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout). In addition to the geographic files, this product also includes 2006 Census data (basic profile) for health regions. &lt;p&gt;For current Health Regions data, refer to &lt;a href="https://www150.statcan.gc.ca/n1/en/catalogue/82-402-X" target="_blank"&gt;Statistics Canada&lt;/a&gt;.&lt;/p&gt;
description: Health Regions
description: Migration from Nesstar
DOI: 10.5683/sp3/bk4oqt
title: Health regions: boundaries and correspondence with census geography, 2013 [Canada] [Excel files, digital mapping files]
title: Health regions: boundaries and correspondence with census geography
title: HREG 2013
title: Régions sociosanitaires : limites et correspondance avec la géographie du recensement, 2013

description: This issue describes in detail the health region limits as of October 2013 and their correspondence with the 2011 and 2006 Census geography. Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout). &lt;p&gt;The 2013 Health Regions: Boundaries and Correspondence with Census Geography reflects the boundaries as of October 2013 and provides the geographic linkage to 2011 and 2006 Censuses. &lt;p&gt;For current Health Regions data, refer to &lt;a href="https://www150.statcan.gc.ca/n1/en/catalogue/82-402-X" target="_blank"&gt;Statistics Canada&lt;/a&gt;.&lt;/p&gt;
description: Migration from Nesstar
description: Health Regions
DOI: 10.15468/dl.bqvjec
title: Occurrence Download

description: A dataset containing 44632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thamnophis sirtalis",
 "Year 1970-2020"
 ]
}

 The dataset includes 44632 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046713-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303399
title: Dataset for: The Anderson impurity model from a Krylov perspective:  Lanczos coefficients in a quadratic model
DOI: 10.15468/dl.zb5pkv
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-92.148 15.088886, -92.220754 15.083311, -92.29170499999999 15.066725, -92.35909599999999 15.039538, -92.421261 15.002423, -92.476664 14.9563, -92.523939 14.902309, -92.561924 14.841785, -92.589688 14.776222, -92.606557 14.70724, -92.61212399999999 14.636538, -92.606263 14.565858, -92.58913 14.496939, -92.561155 14.431477, -92.52303499999999 14.371079, -92.475714 14.317228, -92.42035799999999 14.271245, -92.358328 14.234258, -92.291146 14.207171, -92.22046 14.190649, -92.148 14.185096, -92.07554 14.190649, -92.00485399999999 14.207171, -91.93767200000001 14.234258, -91.875642 14.271245, -91.820286 14.317228, -91.772965 14.371079, -91.73484500000001 14.431477, -91.70687 14.496939, -91.68973699999999 14.565858, -91.683876 14.636538, -91.689443 14.70724, -91.706312 14.776222, -91.734076 14.841785, -91.77206099999999 14.902309, -91.81933600000001 14.9563, -91.87473900000001 15.002423, -91.936904 15.039538, -92.004295 15.066725, -92.07524600000001 15.083311, -92.148 15.088886))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 269 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000212-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303475
title: Rhombolytrum Link. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303476
title: Rhombolytrum Link. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.gn2a7g
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.621 2.341179, 103.550679 2.33561, 103.482091 2.319041, 103.416926 2.291881, 103.35679 2.254799, 103.303165 2.208708, 103.25737 2.154744, 103.220533 2.094237, 103.19356 2.028677, 103.177114 1.959679, 103.1716 1.888942, 103.17715 1.818207, 103.193628 1.749217, 103.220627 1.68367, 103.25748 1.623179, 103.303281 1.569232, 103.356901 1.523159, 103.41702 1.486093, 103.482159 1.458945, 103.550715 1.442385, 103.621 1.436819, 103.691285 1.442385, 103.759841 1.458945, 103.82498 1.486093, 103.885099 1.523159, 103.938719 1.569232, 103.98452 1.623179, 104.021373 1.68367, 104.048372 1.749217, 104.06485 1.818207, 104.0704 1.888942, 104.064886 1.959679, 104.04844 2.028677, 104.021467 2.094237, 103.98463 2.154744, 103.938835 2.208708, 103.88521 2.254799, 103.825074 2.291881, 103.759909 2.319041, 103.691321 2.33561, 103.621 2.341179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 74 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000211-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2p0fjp
title: CCDC 2473072: Experimental Crystal Structure Determination

description: Related Article: Jian Li|2025|CSD Communication|||
description: Related Article: Huajian Yu, Zhenghan Zhang, Jian Li, Salvador R. G. Balestra, Zihao Rei Gao, Miguel A. Camblor|2026|J.Mater.Chem.A|||doi:10.1039/D5TA06932G
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.cc2p43kj
title: CCDC 2476607: Experimental Crystal Structure Determination

description: Related Article: Jian Li|2025|CSD Communication|||
description: Related Article: Huajian Yu, Zhenghan Zhang, Jian Li, Salvador R. G. Balestra, Zihao Rei Gao, Miguel A. Camblor|2026|J.Mater.Chem.A|||doi:10.1039/D5TA06932G
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: 10.25824/redu/fargkp
title: Dados respectivos às tecnologias de vigilância e segurança pública na região metropolitana de Campinas

description: Os dados estão categorizados em Excel em 5 principais abas. A primeira aba contém os principais artigos que foram lidos e que deram embasamento teórico-científico a dissertação. A segunda aba abrange os dados traduzidos em gráficos ou tabelados, filtrados através do site da Secretaria de Segurança Pública de São Paulo (SSP-SP) com base nos últimos cinco anos (roubos, furtos homicídios e roubo e furto de veículos), dados populacionais do Instituto Brasileiro de Geografia e Estatística (IBGE) e dados dos Portais Municipais, possibilitando tabelar e compilar informações quali-quanti, Programas de Vigilância e Segurança Pública que estão ativos nos municípios da Região Metropolitana de Campinas (RMC), tipo de tecnologia, dentre outras categorias. Dando prosseguimento, a terceira subcategoria abarca os dados das leis orçamentárias anuais (LOA) das cidades da RMC, também com base nos últimos anos. Com isso, foi possível analisar as secretarias municipais que mais recebem recursos, quais diminuíram e fazer outras análises e comparações explicitadas na dissertação - especificamente no capítulo 3. Já a quarta aba, registra os dados das obras que foram lidas sobre inteligência artificial no Brasil e sua relação com a legislação, tendo como foco textos disponibilizados no sistema SBU da Unicamp. Por fim, a quinta aba registra algumas obras sobre a temática do neoliberalismo - tópico abordado no segundo capítulo.
DOI: 10.5281/zenodo.18302992
title: Extrapolation method to optimize linear-ramp quantum approximate optimization algorithm parameters: dataset

description: The dataset contains the problem instances for which the QAOA runtime scaling is analyzed in the paper "Extrapolation method to optimize linear-ramp quantum approximate optimization algorithm parameters: evaluation of runtime scaling".



Portfolio optimization

Feature selection

Clustering (moons)

MaxCut


The keys of the python dictionaries have the form "N_i", where: N = problem size / number of binary variables (from 12 to 28), i = instance (from 0 to 9 or from 0 to 19). The dictionaries furthermore contain the QUBO matrices Q_ij, see Eq. (2) (key: "matrix") and the corresponding optimal bitstrings (key: "optimal_solution") in reversed order (as usual in Qiskit).

Furthermore, also the dataset for the hard MaxCut instances (see Appendix D) is included.
DOI: 10.5281/zenodo.18302993
title: Extrapolation method to optimize linear-ramp quantum approximate optimization algorithm parameters: dataset

description: The dataset contains the problem instances for which the QAOA runtime scaling is analyzed in the paper "Extrapolation method to optimize linear-ramp quantum approximate optimization algorithm parameters: evaluation of runtime scaling".



Portfolio optimization

Feature selection

Clustering (moons)

MaxCut


The keys of the python dictionaries have the form "N_i", where: N = problem size / number of binary variables (from 12 to 28), i = instance (from 0 to 9 or from 0 to 19). The dictionaries furthermore contain the QUBO matrices Q_ij, see Eq. (2) (key: "matrix") and the corresponding optimal bitstrings (key: "optimal_solution") in reversed order (as usual in Qiskit).

Furthermore, also the dataset for the hard MaxCut instances (see Appendix D) is included.
DOI: 10.15468/dl.v6k6qs
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.27706 20.76656,-105.23229 20.76656,-105.23229 20.81591,-105.27706 20.81591,-105.27706 20.76656))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000213-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.