cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc298jvz
title: CCDC 2123371: Experimental Crystal Structure Determination

description: Related Article: Tianyi Liu, Kin Boon Gan, Rong-Lin Zhong, Xinwei He, Fuk Yee Kwong|2022|Org.Lett.|24|6805|doi:10.1021/acs.orglett.2c02728
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.cc298jw0
title: CCDC 2123372: Experimental Crystal Structure Determination

description: Related Article: Tianyi Liu, Kin Boon Gan, Rong-Lin Zhong, Xinwei He, Fuk Yee Kwong|2022|Org.Lett.|24|6805|doi:10.1021/acs.orglett.2c02728
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.cc298jx1
title: CCDC 2123373: Experimental Crystal Structure Determination

description: Related Article: Tianyi Liu, Kin Boon Gan, Rong-Lin Zhong, Xinwei He, Fuk Yee Kwong|2022|Org.Lett.|24|6805|doi:10.1021/acs.orglett.2c02728
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.cc298jy2
title: CCDC 2123374: Experimental Crystal Structure Determination

description: Related Article: Tianyi Liu, Kin Boon Gan, Rong-Lin Zhong, Xinwei He, Fuk Yee Kwong|2022|Org.Lett.|24|6805|doi:10.1021/acs.orglett.2c02728
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.cc298jz3
title: CCDC 2123375: Experimental Crystal Structure Determination

description: Related Article: Tianyi Liu, Kin Boon Gan, Rong-Lin Zhong, Xinwei He, Fuk Yee Kwong|2022|Org.Lett.|24|6805|doi:10.1021/acs.orglett.2c02728
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: 10.5281/zenodo.5748415
title: A consolidated database of police-reported motor vehicle traffic accidents in the United States for actuarial applications

description: This database is related to "A CONSOLIDATED DATABASE OF POLICE-REPORTED MOTOR VEHICLE TRAFFIC ACCIDENTS IN THE UNITED STATES FOR ACTUARIAL APPLICATIONS" (Araiza Iturria C.A., Hardy M., Marriott P.). Author Information A. Author<br> Name: Carlos Andrés Araiza Iturria<br> Email: caraizai@uwaterloo.ca<br> <br> B. Co-author<br> Name: Mary Hardy<br> Email: mary.hardy@uwaterloo.ca C. Co-author<br> Name: Paul Marriott<br> Email: pmarriott@uwaterloo.ca<br> <br> Institution: University of Waterloo<br> Address: 200 University Ave W, Waterloo, ON N2L 3G1 <br> Funding granted by the Natural Sciences and Engineering Research Council of Canada. Hardy: RGPIN-2018-03754, Marriott: RGPIN-2020-04015. The Python scripts to create the database can be directly accessed through related identifiers in this page. Parameter estimates along with their 90% confidence intervals from the 20 multinomial logistic regressions can be seen through related identifiers in this page.
description: Updated with MVTAs of 2020. This specific database is a compilation of the database with MVTAs of 2001-2019 (older version of dataset, cited in this page) created with version 3 of the software (older version which can be accessed through the software citation in this page) and the database of 2020 generated with version 3.1.0 (current version, cited in this page).
DOI: 10.5281/zenodo.5748416
title: A consolidated database of police-reported motor vehicle traffic accidents in the United States for actuarial applications

description: This database is related to "A CONSOLIDATED DATABASE OF POLICE-REPORTED MOTOR VEHICLE TRAFFIC ACCIDENTS IN THE UNITED STATES FOR ACTUARIAL APPLICATIONS" (Araiza Iturria C.A., Hardy M., Marriott P.). Author Information A. Author<br> Name: Carlos Andrés Araiza Iturria<br> Email: caraizai@uwaterloo.ca<br> <br> B. Co-author<br> Name: Mary Hardy<br> Email: mary.hardy@uwaterloo.ca C. Co-author<br> Name: Paul Marriott<br> Email: pmarriott@uwaterloo.ca<br> <br> Institution: University of Waterloo<br> Address: 200 University Ave W, Waterloo, ON N2L 3G1 <br> Funding granted by the Natural Sciences and Engineering Research Council of Canada. Hardy: RGPIN-2018-03754, Marriott: RGPIN-2020-04015. The Python scripts to create the database can be directly accessed here. Parameter estimates along with their 90% confidence intervals from the 19 multinomial logistic regressions can be seen here.
DOI: 10.5281/zenodo.7121281
title: A consolidated database of police-reported motor vehicle traffic accidents in the United States for actuarial applications

description: This database is related to "A CONSOLIDATED DATABASE OF POLICE-REPORTED MOTOR VEHICLE TRAFFIC ACCIDENTS IN THE UNITED STATES FOR ACTUARIAL APPLICATIONS" (Araiza Iturria C.A., Hardy M., Marriott P.). Author Information A. Author<br> Name: Carlos Andrés Araiza Iturria<br> Email: caraizai@uwaterloo.ca<br> <br> B. Co-author<br> Name: Mary Hardy<br> Email: mary.hardy@uwaterloo.ca C. Co-author<br> Name: Paul Marriott<br> Email: pmarriott@uwaterloo.ca<br> <br> Institution: University of Waterloo<br> Address: 200 University Ave W, Waterloo, ON N2L 3G1 <br> Funding granted by the Natural Sciences and Engineering Research Council of Canada. Hardy: RGPIN-2018-03754, Marriott: RGPIN-2020-04015. The Python scripts to create the database can be directly accessed through related identifiers in this page. Parameter estimates along with their 90% confidence intervals from the 20 multinomial logistic regressions can be seen through related identifiers in this page.
description: Updated with MVTAs of 2020. This specific database is a compilation of the database with MVTAs of 2001-2019 (older version of dataset, cited in this page) created with version 3 of the software (older version which can be accessed through the software citation in this page) and the database of 2020 generated with version 3.1.0 (current version, cited in this page).
DOI: 10.5281/zenodo.7121448
title: DiffLinker Evaluation Files

description: This dataset contains ground-truth SMILES and SDF files of molecules, fragments and linkers from all test sets (recomputed with OpenBabel) + SMILES of the training linkers – for computing novelty
DOI: 10.5281/zenodo.7121447
title: DiffLinker Evaluation Files

description: This dataset contains ground-truth SMILES and SDF files of molecules, fragments and linkers from all test sets (recomputed with OpenBabel) + SMILES of the training linkers – for computing novelty
DOI: 10.6084/m9.figshare.21225398
title: Dataset1.rar

description: The Database for Mastology Research with Infrared Image (DMR-IR) was developed in 2014 during the PROENG Project at the Institute of Computer Science of the Federal Fluminense University in Brazil.
DOI: 10.6084/m9.figshare.21225398.v1
title: Dataset.rar

description: The Database for Mastology Research with Infrared Image (DMR-IR) was developed in 2014 during the PROENG Project at the Institute of Computer Science of the Federal Fluminense University in Brazil.
DOI: 10.6084/m9.figshare.21225404
title: Dataset.rar

description: The Database for Mastology Research with Infrared Image (DMR-IR) [45] was developed in 2014 during the PROENG Project at the Institute of Computer Science of the Federal Fluminense University in Brazil. It is currently the only public dataset of breast thermograms.
DOI: 10.6073/pasta/7cabf296274c950e1b382612e61b750b
title: Long-term monitoring of herpetofauna along the Salt and Gila Rivers in and near the greater Phoenix metropolitan area, ongoing since 2012

description: Waterways are often the focus of restoration efforts in urban areas. In arid regions, passive discharge of urban water sources may stimulate the recovery or growth of wetland and riparian features in dewatered or ephemeral aquatic systems. In the greater Phoenix metropolitan area (GPMA), sections of the Salt and Gila Rivers have been the targets of active restoration through seeding, planting, and irrigation. At the same time, revegetation has occurred in some sections of the rivers in response to runoff from urban water sources (e.g., storm drains). This dataset catalogs the results of herpetological surveys conducted at several locations along the Salt and Gila Rivers in and around the GPMA beginning in March 2012. Survey locations include riparian areas in urban and non-urban locations that have been (actively) restored or have revegetated in response to urban runoff, and that feature ephemeral or perennial sources of water. This is a long-term monitoring effort of the CAP LTER with on-going data collection.
DOI: 10.6084/m9.figshare.21225422
title: S1 Dataset.rar

description: The Database for Mastology Research with Infrared Image (DMR-IR) was developed in 2014 during the PROENG Project at the Institute of Computer Science of the Federal Fluminense University in Brazil. It is currently the only public dataset of breast thermograms.
DOI: 10.4121/21106768.v1
title: Instances and file format for the Resource Constrained Project Scheduling Problem with a flexible Project Structure

description: This dataset contains the following: - Three instance sets for the Resource Constrained Project Scheduling Problem with a flexible Project Structure. - A description of the file format.
DOI: 10.4121/21106768
title: Instances and file format for the Resource Constrained Project Scheduling Problem with a flexible Project Structure

description: This dataset contains the following: - Three instance sets for the Resource Constrained Project Scheduling Problem with a flexible Project Structure. - A description of the file format.
DOI: 10.4121/21187270.v1
title: Supplementary data for the package DIMOPREC (Development of a Well Impairment Model for Predicting Geothermal Clogging)

description: Water composition of four different geothermal fields in the west Netherlands basin. Annual meetings slide packages. PHREEQC/iCP/COMSOL input files for sensitivity analysis, field case and others.
DOI: 10.4121/21187270
title: Supplementary data for the package DIMOPREC (Development of a Well Impairment Model for Predicting Geothermal Clogging)

description: Water composition of four different geothermal fields in the west Netherlands basin. Annual meetings slide packages. PHREEQC/iCP/COMSOL input files for sensitivity analysis, field case and others.
DOI: 10.4121/21213113.v1
title: Bulk carbon and nitrogen stable isotope data supporting: Compound- specific stable isotope analysis of amino acid nitrogen reveals detrital support of microphytobenthos in the Dutch Wadden Sea benthic food web

description: Bulk carbon and nitrogen values resulting from the 2010-2014 SIBES samplings from the Dutch Wadden Sea. 28 species sampled with reasonable replication and end member measurements for microphytobenthos and water particulate organic matter. Related dataset: https://doi.org/10.4121/21207470
DOI: 10.4121/21213113
title: Bulk carbon and nitrogen stable isotope data supporting: Compound- specific stable isotope analysis of amino acid nitrogen reveals detrital support of microphytobenthos in the Dutch Wadden Sea benthic food web

description: Bulk carbon and nitrogen values resulting from the 2010-2014 SIBES samplings from the Dutch Wadden Sea. 28 species sampled with reasonable replication and end member measurements for microphytobenthos and water particulate organic matter. Related dataset: https://doi.org/10.4121/21207470
DOI: 10.4121/21207470.v1
title: Amino acid data supporting: Compound- specific stable isotope analysis of amino acid nitrogen reveals detrital support of microphytobenthos in the Dutch Wadden Sea benthic food web

description: Nitrogen stable isotope values for amino acid measurements for glutamic acid and phenylalanine for the Dutch Wadden Sea food web. 28 species measured with reasonable replication for a total of 339 individuals measured. Related dataset: https://doi.org/10.4121/21213113
DOI: 10.4121/21207470
title: Amino acid data supporting: Compound- specific stable isotope analysis of amino acid nitrogen reveals detrital support of microphytobenthos in the Dutch Wadden Sea benthic food web

description: Nitrogen stable isotope values for amino acid measurements for glutamic acid and phenylalanine for the Dutch Wadden Sea food web. 28 species measured with reasonable replication for a total of 339 individuals measured. Related dataset: https://doi.org/10.4121/21213113
DOI: 10.4121/21154606
title: Input data for the master thesis “Security of supply during the energy transition”

description: This dataset contains the input data needed to run the AMIRIS-EMLab simulation for the Dutch scenario. The dataset consists of: - Installed power plants in Germany in 2020. - Installed power plants in the Netherlands in 2020. - Load demand curve for the Netherlands in 2020. - Load demand curve for the Netherlands in 2050 in a "dunkelflaute" scenario.
DOI: 10.4121/21197290
title: Data underlying the paper: Temporally programmed polymer-solvent interactions using a chemical reaction network

description: The data underlines the paper: <strong>Temporally programmed polymer-solvent interactions using a chemical reaction network</strong>. In this work a new modular chemical reaction network (CRN) was developed, which enables reversible formation of positive charges on a tertiary amine substrate, which are removed using nucleophilic signals that control the deactivation kinetics. The modular nature of the CRN enables incorporation in diverse polymer materials, leading to a temporally programmed transition from collapsed and hydrophobic to solvated, hydrophilic polymer chains by controlling polymer-solvent interactions. Depending on the layout of the CRN, we can create stimuli-responsive or autonomously responding materials.
DOI: 10.4121/21201731.v1
title: Data underlying the publication: Measured data of water surface and bottom on a sandbar

description: This dataset has been stored for the purpose of showing the data used in the drawings and results in the text of the current submission to Journal. Please refer to the text for the purpose of the experiment and the method of data acquisition. The DOI will be added when the paper is accepted. Read README.md for details.
DOI: 10.4121/21201731
title: Data underlying the publication: Measured data of water surface and bottom on a sandbar

description: This dataset has been stored for the purpose of showing the data used in the drawings and results in the text of the current submission to Journal. Please refer to the text for the purpose of the experiment and the method of data acquisition. The DOI will be added when the paper is accepted. Read README.md for details.
DOI: 10.4121/20683062.v1
title: Trajectory data Amsterdam Zuid (track 1-2) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20691659 https://doi.org/10.4121/20692247
DOI: 10.4121/20683062.v2
title: Trajectory data Amsterdam Zuid (track 1-2) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20691659 https://doi.org/10.4121/20692247
DOI: 10.4121/20683062
title: Trajectory data Amsterdam Zuid (track 1-2) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20691659 https://doi.org/10.4121/20692247
DOI: 10.4121/20691659.v1
title: Trajectory data Amsterdam Zuid (track 3-4) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20692247 https://doi.org/10.4121/20683062
DOI: 10.4121/20691659
title: Trajectory data Amsterdam Zuid (track 3-4) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20692247 https://doi.org/10.4121/20683062
DOI: 10.4121/20692247.v1
title: Trajectory data Utrecht Centraal (track 5) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20691659 https://doi.org/10.4121/20683062
DOI: 10.4121/20692247.v2
title: Trajectory data Utrecht Centraal (track 5) underlying the PhD-thesis: Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands

description: The PhD-thesis <em>Mind your passenger! The passenger capacity of platforms at railway stations in the Netherlands</em> constitutes a first step towards measuring the passenger capacity of station platforms. First, it defines platform capacity on the basis of the locations of queues at exit escalators from platforms, the presence of passengers in the platform-edge danger zone and the duration of stops. It then renders capacity measurable using real-life data covering train stops and passenger behaviour on platforms. <br> The trajectory data that were used for this research were generated by the SMART Station pedestrian sensors on the platform. See chapter 4 of the thesis for more information about the data. See the instructions in this dataset for an example of the data processing. Related datasets: https://doi.org/10.4121/20691659 https://doi.org/10.4121/20683062
DOI: 10.4121/20202041.v1
title: Data processing and plotting underlaying the manuscript "Direct coherent manipulation of an Andreev spin-orbit qubit"

description: This file contains all of the processing and plotting of the data. In addition it contains most of the raw data, with the exception of the raw time traces which are provided in a separate file. https://doi.org/10.4121/20202071