cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/f5e9c734-c14e-40f7-93a8-82884a0efbfc.v1
title: Data for publication: Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights

description: The partitioning problem is of central relevance for designing and implementing non-centralized Model Predictive Control (MPC) strategies for large-scale systems. These control approaches include decentralized MPC, distributed MPC, hierarchical MPC, and coalitional MPC. Partitioning a system for the application of non-centralized MPC consists of finding the best definition of the subsystems, and their allocation into groups for the definition of local controllers, to maximize the relevant performance indicators. The present survey proposes a novel systematization of the partitioning approaches in the literature in five main classes: optimization-based, algorithmic, community-detection-based, game-theoretic-oriented, and heuristic approaches. A unified graph-theoretical formalism, a mathematical re-formulation of the problem in terms of mixed-integer programming, the novel concepts of predictive partitioning and multi-topological representations, and a methodological formulation of quality metrics are developed to support the classification and further developments of the field. We analyze the different classes of partitioning techniques, and we present an overview of their strengths and limitations, which include a technical discussion about the different approaches. Representative case studies are discussed to illustrate the application of partitioning techniques for non-centralized MPC in various sectors, including power systems, water networks, wind farms, chemical processes, transportation systems, communication networks, industrial automation, smart buildings, and cyber--physical systems. An outlook of future challenges completes the survey.
DOI: 10.5281/zenodo.18300026
title: Praxelis clematidea (Hieron. ex Kuntze) R.M.King & H.Rob. 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.18300025
title: Praxelis clematidea (Hieron. ex Kuntze) R.M.King & H.Rob. 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: 10.11583/dtu.29500682
title: Dataset from The Danish Food Composition Database, Frida version 5.5

description: <b>Dataset and Documentation of Frida: The Danish Food Composition Database</b>Documentation for the database is available in Danish and English. The dataset contains several worksheets with the following tables:Readme - Information on copyright and citationData_Table - Main table with all published nutrient data on all foodsData_Normalised - All published nutrient data on all foods normalized with source/referencesFood - Food description including FoodEx2, LanguaL and other codesFoodGroup - Foodgroup description and hierarchyParameter - Food description including chemical data, EuroFIR and EFSA codes and identifiers for other databasesSource - Information on references including URL<b>How to refer to this dataset?</b>Marija Langwagen, Jette Jacobsen, Tue Christensen and Anders Poulsen: The Danish Food Composition Database, Frida version 5.5, November 2025, National Food Institute, Technical University of Denmark. https://doi.org/10.11583/DTU.29500682<b>List of individual files and licenses:</b>Frida5.5_Dataset.xlsx - CC-BY 4.0Frida5.5_Dataset.ods - CC-BY 4.0Frida5.5_Dokumentation_Dansk.pdf - © Technical University of Denmark 2025Frida5.5_Documentation_English.pdf - © Technical University of Denmark 2025
DOI: 10.11583/dtu.29500682.v8
title: Dataset from The Danish Food Composition Database, Frida version 5.5

description: <b>Dataset and Documentation of Frida: The Danish Food Composition Database</b>Documentation for the database is available in Danish and English. The dataset contains several worksheets with the following tables:Readme - Information on copyright and citationData_Table - Main table with all published nutrient data on all foodsData_Normalised - All published nutrient data on all foods normalized with source/referencesFood - Food description including FoodEx2, LanguaL and other codesFoodGroup - Foodgroup description and hierarchyParameter - Food description including chemical data, EuroFIR and EFSA codes and identifiers for other databasesSource - Information on references including URL<b>How to refer to this dataset?</b>Marija Langwagen, Jette Jacobsen, Tue Christensen and Anders Poulsen: The Danish Food Composition Database, Frida version 5.5, November 2025, National Food Institute, Technical University of Denmark. https://doi.org/10.11583/DTU.29500682<b>List of individual files and licenses:</b>Frida5.5_Dataset.xlsx - CC-BY 4.0Frida5.5_Dataset.ods - CC-BY 4.0Frida5.5_Dokumentation_Dansk.pdf - © Technical University of Denmark 2025Frida5.5_Documentation_English.pdf - © Technical University of Denmark 2025
DOI: 10.11583/dtu.29500682.v7
title: Dataset from The Danish Food Composition Database, Frida version 5.4

description: <b>Dataset and Documentation of Frida: The Danish Food Composition Database</b>Documentation for the database is available in Danish and English. The dataset contains several worksheets with the following tables:Readme - Information on copyright and citationData_Table - Main table with all published nutrient data on all foodsData_Normalised - All published nutrient data on all foods normalized with source/referencesFood - Food description including FoodEx2, LanguaL and other codesFoodGroup - Foodgroup description and hierarchyParameter - Food description including chemical data, EuroFIR and EFSA codes and identifiers for other databasesSource - Information on references including URL<b>How to refer to this dataset?</b>Marija Langwagen, Jette Jacobsen, Tue Christensen and Anders Poulsen: The Danish Food Composition Database, Frida version 5.4, May 2025, National Food Institute, Technical University of Denmark. https://doi.org/10.11583/DTU.29500682<b>List of individual files and licenses:</b>Frida5.4_Dataset.xlsx - CC-BY 4.0Frida5.4_Dataset.ods - CC-BY 4.0Frida5.4_Dokumentation_Dansk.pdf - © Technical University of Denmark 2025Frida5.4_Documentation_English.pdf - © Technical University of Denmark 2025
DOI: 10.15468/dl.q5wznc
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ecdyonurus joernensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 434 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020395-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ge4g5
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium semidecandrum, Cerastium semidecandrum, Cerastium semidecandrum, Cerastium semidecandrum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 134 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020396-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqjg9g
title: Occurrence Download

description: A dataset containing 5695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "TaxonKey is Lutra lutra",
 "Year 2020-2026"
 ]
}

 The dataset includes 5695 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020397-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x32hnk
title: Occurrence Download

description: A dataset containing 10450460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-7.46154 37.20544,-5.57809 35.6423,-3.63531 36.54108,-5.05902 38.03942,-7.46154 37.20544))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10450460 records from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020347-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x96usu
title: Occurrence Download

description: A dataset containing 14497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Pieridae"
 ]
}

 The dataset includes 14497 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011526-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.2834
title: BCC BCC-ESM1 model output prepared for CMIP6 CMIP 1pctCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-ESM1.1pctCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The BCC-ESM 1 climate model, released in 2017, includes the following components:
 atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. 
The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.2846
title: BCC BCC-ESM1 model output prepared for CMIP6 CMIP abrupt-4xCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-ESM1.abrupt-4xCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The BCC-ESM 1 climate model, released in 2017, includes the following components:
 atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. 
The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.2851
title: BCC BCC-ESM1 model output prepared for CMIP6 CMIP amip

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-ESM1.amip' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The BCC-ESM 1 climate model, released in 2017, includes the following components:
 atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. 
The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.6084/m9.figshare.28886669.v4
title: Breaking the Riemann Hypothesis: A Quantum-Mechanical Proof Unveiled

description: In this groundbreaking paper, we present a novel quantum-mechanical approach to prove the Riemann Hypothesis, one of mathematics' most enduring mysteries. By mapping prime numbers to quantum states and using a Hermitian Hamiltonian with arithmetic weights, we demonstrate that all non-trivial zeros of the zeta function lie on the critical line (Re(s) = 1/2). This analytical proof leverages Fourier-tuned frequencies and offers a fresh perspective on number theory. Join us in exploring this potential milestone in mathematical history
DOI: 10.15468/dl.mt76wa
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Scaphiopus hurterii Strecker, 1910)"
 ]
}

 The dataset includes 1300 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003398-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn3k6u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Hyla cinerea evittata Miller, 1899)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003397-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6e33p
title: Occurrence Download

description: A dataset containing 103847 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urochloa P.Beauv."
 ]
}

 The dataset includes 103847 records from 945 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003396-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gbcyjr
title: Replication Data for: Mapping and explaining the use of the left-right divide

description: Replication Data for: "Mapping and explaining the use of the left-right divide" as published in BPSR, vol.7, nº 3, 2013.
DOI: 10.7910/dvn/5qega
title: House Unpassed Legislation 1859, rejected, SC1/series 230, Petition of D.N. Stevens

description: &lt;p&gt;Petition subject: Against the rendition of fugitive slaves &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029890"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029890&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Stoneham &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: J. Parker Gould, Stoneham; committee on federal relations &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;D.N. Stevens&lt;/li&gt;&lt;li&gt;Jesse Curtis&lt;/li&gt;&lt;li&gt;Amasa Farrier&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1859-02-08 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 8, 1859 and referred to the committee on federal relations and sent for concurrence &lt;/p&gt; &lt;p&gt;Total signatures: 87 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent for concurrence &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 87 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, others, ["other voters"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1859, rejected &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/dh3yoi
title: Contestants' affidavits from Bihar in General Elections, 2014 and Legislative Assembly Elections, 2015

description: The dataset pertains to the profiles of 607 contestants from Bihar for General Elections, 2014 and 3443 contestants from Bihar for Legislative Assembly Elections, 2015. The information provided in the datasets is sourced from the affidavits submitted to the Election Commission of India (ECI) by the contestants. These affidavits are accessible via the ECI website.
DOI: 10.7910/dvn/7hpt9b
title: National Hydrographic Map
DOI: 10.7910/dvn/l0m4a
title: Council; Council Files January 2, 1845, Case of Thomas Barrett, GC3/series 378, Petition of Charles Spear

description: &lt;p&gt;Petition subject: Execution case &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:12232998"&gt;http://nrs.harvard.edu/urn-3:FHCL:12232998&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Charles Spear&lt;/li&gt;&lt;li&gt;Henry J. Prentiss&lt;/li&gt;&lt;li&gt;Isaac Merriam&lt;/li&gt;&lt;li&gt;Francis Jenkins&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 13 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 9 &lt;/p&gt; &lt;p&gt;Female signatures: 4 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: undersigned, [females], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Signatory column format: not column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Thomas Barrett &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Governor Council Files, January 2, 1845, Case of Thomas Barrett &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;