cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7569273
title: POLIcy design ANNotAtions (POLIANNA): Towards understanding policy design through text-as-data approaches

description: The POLIANNA dataset is a collection of legislative texts from the European Union (EU) that have been annotated based on theoretical concepts of policy design. The dataset consists of 20,577 annotated spans in 412 articles, drawn from 18 EU climate change mitigation and renewable energy laws, and can be used to develop supervised machine learning approaches for scaling policy analysis. The dataset includes a novel coding scheme for annotating text spans, and you find a description of the annotated corpus, an analysis of inter-annotator agreement, and a discussion of potential applications in the paper accompanying this dataset. The objective of this dataset to build tools that assist with manual coding of policy texts by automatically identifying relevant paragraphs.

Detailed instructions and further guidance about the dataset as well as all the code used for this project can be found in the accompanying paper and on the GitHub project page. The repository also contains useful code to calculate various inter-annotator agreement measures and can be used to process text annotations generated by INCEpTION.

 

Dataset Description

We provide the dataset in 3 different formats:JSON: Each article corresponds to a folder, where the Tokens and Spans are stored in a separate JSON file. Each article-folder further contains the raw policy-text as in a text file and the metadata about the policy. This is the most human-readable format.

JSONL: Same folder structure as the JSON format, but the Spans and Tokens are stored in a JSONL file, where each line is a valid JSON document.

Pickle: We provide the dataset as a Python object. This is the recommended method when using our own Python framework that is provided on GitHub. For more information, check out the GitHub project page.

License

The POLIANNA dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. If you use the POLIANNA dataset in your research in any form, please cite the dataset.

 

Citation

Sewerin, S., Kaack, L.H., Küttel, J. et al. Towards understanding policy design through text-as-data approaches: The policy design annotations (POLIANNA) dataset. Sci Data10, 896 (2023). https://doi.org/10.1038/s41597-023-02801-z
description: This work was also supported by ETH Career Seed Grant SEED-24 19-2, funded by the ETH Zurich Foundation.
DOI: 10.5281/zenodo.8284380
title: POLIcy design ANNotAtions (POLIANNA): Towards understanding policy design through text-as-data approaches

description: The POLIANNA dataset is a collection of legislative texts from the European Union (EU) that have been annotated based on theoretical concepts of policy design. The dataset consists of 20,577 annotated spans in 412 articles, drawn from 18 EU climate change mitigation and renewable energy laws, and can be used to develop supervised machine learning approaches for scaling policy analysis. The dataset includes a novel coding scheme for annotating text spans, and you find a description of the annotated corpus, an analysis of inter-annotator agreement, and a discussion of potential applications in the paper accompanying this dataset. The objective of this dataset to build tools that assist with manual coding of policy texts by automatically identifying relevant paragraphs.

Detailed instructions and further guidance about the dataset as well as all the code used for this project can be found in the accompanying paper and on the GitHub project page. The repository also contains useful code to calculate various inter-annotator agreement measures and can be used to process text annotations generated by INCEpTION.

 

Dataset Description

We provide the dataset in 3 different formats:JSON: Each article corresponds to a folder, where the Tokens and Spans are stored in a separate JSON file. Each article-folder further contains the raw policy-text as in a text file and the metadata about the policy. This is the most human-readable format.

JSONL: Same folder structure as the JSON format, but the Spans and Tokens are stored in a JSONL file, where each line is a valid JSON document.

Pickle: We provide the dataset as a Python object. This is the recommended method when using our own Python framework that is provided on GitHub. For more information, check out the GitHub project page.

License

The POLIANNA dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. If you use the POLIANNA dataset in your research in any form, please cite the dataset.

 

Citation

Sewerin, S., Kaack, L.H., Küttel, J. et al. Towards understanding policy design through text-as-data approaches: The policy design annotations (POLIANNA) dataset. Sci Data10, 896 (2023). https://doi.org/10.1038/s41597-023-02801-z
description: This work was also supported by ETH Career Seed Grant SEED-24 19-2, funded by the ETH Zurich Foundation.
DOI: 10.25318/9810050601-eng
title: Place of work status by highest level of education and gender: Census metropolitan areas, tracted census agglomerations and census tracts of work

description: Data on place of work status by highest certificate, diploma or degree and gender for the employed labour force aged 15 years and over, in private households in census metropolitan areas, tracted census agglomerations and census tracts of work.
DOI: 10.5281/zenodo.10370872
title: MALDI-TOF spectra of Clostridioides difficile Ribotypes

description: MALDI-TOF spectra of different ribotypes of Clostridioides difficile. Cultured anaerobically on Brucella Blood agar after 48 hours at 37ºC. Acquisition on MBT Smart MALDI Biotyper (Bruker Daltonics).
DOI: 10.6084/m9.figshare.24799911.v1
title: data and R code: A successional shift enhances stability in ant symbiont communities

description: data and R code to conduct analyses of https://doi.org/10.1101/2023.11.22.568218
DOI: 10.25318/9810050601-fra
title: Catégorie du lieu de travail selon le plus haut niveau de scolarité et le genre : Régions métropolitaines de recensement, agglomérations de recensement subdivisées en secteurs de recensement et secteurs de recensement du lieu de travail

description: Données sur la catégorie du lieu de travail selon le plus haut certificat, diplôme ou grade et le genre pour la population active occupée âgée de 15 ans et plus, dans les ménages privés dans les régions métropolitaines de recensement, les agglomérations de recensement subdivisées en secteurs de recensement et les secteurs de recensement du lieu de travail.
DOI: 10.6084/m9.figshare.21624287.v1
title: Early and long-term prognosis in patients with remaining chronic total occlusions after revascularization attempt. A cohort study from the SKEJ-CTO registry

description: The present study aimed to compare safety and long-term prognosis of patients with chronic total coronary occlusions (CTO) stratified for remaining CTOs after percutaneous coronary intervention (PCI). The study cohort consisted of patients with coronary artery disease who underwent CTO PCI in a high volume tertiary center from 2009 to 2019 and were registered in Danish high-quality registers. Patients with successful PCI of all CTOs were compared to patients with ≥1 remaining CTO post-procedural. Primary endpoints were analysed using Cox-regression and Kaplan-Meier estimates, and included all-cause mortality, major adverse cardio- and cerebrovascular events (MACCE) and a 30-day safety endpoint. Procedural success rate was 87.7%, and 76.5% of patients had all CTO(s) opened post-PCI. Safety endpoint occurred in 4.6% of patients, and more frequently in patients with remaining CTO(s) (RD 4.9, 95%CI 0.1, 9.8). All-cause mortality was higher in patients with remaining CTO(s) (Unadjusted HR 1.65, 95% CI 1.03, 2.47, <i>p</i> = .015. Adjusted HR 1.32, 95%CI 0.88–1.99, <i>p</i> = .18) after eight years of follow-up. Risk of MACCE was significantly higher in patients with remaining CTO(s) (Unadjusted HR 1.79, 95% CI 1.34–2.41, <i>p</i> &lt; .001. Adjusted HR 1.51, 95% CI 1.11–2.05, <i>p</i> = .009). In our centre, CTO PCI was associated with high success rate and low risk of 30-days complications. Presence of remaining CTO(s) after final revascularization attempt was associated with higher but statistically insignificant long-term mortality but was an independent predictor of MACCE.
DOI: 10.6084/m9.figshare.22707752
title: Increased plasma levels of non-sugar sweeteners in patients with symptomatic carotid atherosclerosis

description: <i>Purpose.</i> The non-sugar sweeteners acesulfame K and saccharin are considered safe, but there is conflicting evidence on their effects on cardiovascular health. <i>Materials</i> <i>and</i> <i>methods.</i> In this explorative pilot study, we measured plasma levels of acesulfame K and saccharin in 15 patients with symptomatic carotid atherosclerosis, 18 asymptomatic patients and 15 control subjects. Fecal microbiota and short-chain fatty acids were analyzed. Dietary and medical history was assessed. <i>Results.</i> Symptomatic patients had higher levels of acesulfame K and saccharin compared to controls. Acesulfame K was associated with increased leukocyte count. Saccharin was associated with more severe carotid stenosis, as well as lower fecal butyric acid.
DOI: 10.6084/m9.figshare.21624287
title: Early and long-term prognosis in patients with remaining chronic total occlusions after revascularization attempt. A cohort study from the SKEJ-CTO registry

description: The present study aimed to compare safety and long-term prognosis of patients with chronic total coronary occlusions (CTO) stratified for remaining CTOs after percutaneous coronary intervention (PCI). The study cohort consisted of patients with coronary artery disease who underwent CTO PCI in a high volume tertiary center from 2009 to 2019 and were registered in Danish high-quality registers. Patients with successful PCI of all CTOs were compared to patients with ≥1 remaining CTO post-procedural. Primary endpoints were analysed using Cox-regression and Kaplan-Meier estimates, and included all-cause mortality, major adverse cardio- and cerebrovascular events (MACCE) and a 30-day safety endpoint. Procedural success rate was 87.7%, and 76.5% of patients had all CTO(s) opened post-PCI. Safety endpoint occurred in 4.6% of patients, and more frequently in patients with remaining CTO(s) (RD 4.9, 95%CI 0.1, 9.8). All-cause mortality was higher in patients with remaining CTO(s) (Unadjusted HR 1.65, 95% CI 1.03, 2.47, <i>p</i> = .015. Adjusted HR 1.32, 95%CI 0.88–1.99, <i>p</i> = .18) after eight years of follow-up. Risk of MACCE was significantly higher in patients with remaining CTO(s) (Unadjusted HR 1.79, 95% CI 1.34–2.41, <i>p</i> &lt; .001. Adjusted HR 1.51, 95% CI 1.11–2.05, <i>p</i> = .009). In our centre, CTO PCI was associated with high success rate and low risk of 30-days complications. Presence of remaining CTO(s) after final revascularization attempt was associated with higher but statistically insignificant long-term mortality but was an independent predictor of MACCE.
DOI: 10.6084/m9.figshare.22707752.v1
title: Increased plasma levels of non-sugar sweeteners in patients with symptomatic carotid atherosclerosis

description: <i>Purpose.</i> The non-sugar sweeteners acesulfame K and saccharin are considered safe, but there is conflicting evidence on their effects on cardiovascular health. <i>Materials</i> <i>and</i> <i>methods.</i> In this explorative pilot study, we measured plasma levels of acesulfame K and saccharin in 15 patients with symptomatic carotid atherosclerosis, 18 asymptomatic patients and 15 control subjects. Fecal microbiota and short-chain fatty acids were analyzed. Dietary and medical history was assessed. <i>Results.</i> Symptomatic patients had higher levels of acesulfame K and saccharin compared to controls. Acesulfame K was associated with increased leukocyte count. Saccharin was associated with more severe carotid stenosis, as well as lower fecal butyric acid.
DOI: 10.25919/xb9c-rj41
title: Parkes observations for project P595 semester 2023OCTS_05

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.5517/ccdc.csd.cc2g1kps
title: CCDC 2265625: Experimental Crystal Structure Determination

description: Related Article: Huaiying Huang, Yitian Jiang, Miaochang Liu, Wenbo Dai, Yunxiang Lei, Yan Guan, Qiuping Ding, Huayue Wu, Xiaobo Huang|2023|J.Mater.Chem.C|11|17044|doi:10.1039/D3TC03553K
description: Related Article: Guo Yan|2023|CSD Communication|||
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: 10.25835/u1c2en7o
title: LED traps in commercial greenhouses: a field study report on Encarsia formosa by-catch

description: All data are analysed and published 2023 under the title "LED traps in commercial greenhouses: a field study report on Encarsia formosa by-catch"
DOI: 10.57745/2niozw
title: FWAT_DataConso.tab

description: FWAT_DataConso provides the words or expressions cited by the participants during the Free Word Association Task, the categories, the valence, and the importance associated to each word and expression.
DOI: 10.57745/4klwo3
title: DataConso.tab

description: DataConso provides information about the consumers sociodemographics characteristics, wine consumptions, answers to the familiarity survey.
DOI: 10.57745/v59bol
title: ConsentForm.docx

description: :unav
DOI: 10.57745/lo0ga2
title: DataPro.tab

description: DataPro provides information about the wine professionals sociodemographics characteristics, their work, their wine region, the detail of their wine production and wine selling, answers to the familiarity survey.
DOI: 10.57745/cflnjd
title: README.docx

description: README.docx contains a description of the dataset.
DOI: 10.57745/glbs3w
title: FWAT_DataPro.tab

description: FWAT_DataPro provides the words or expressions cited by the participants during the Free Word Association Task, the categories, the valence, and the importance associated to each word and expression.
DOI: 10.11583/dtu.22739729.v1
title: Ship-based vertical profiling wind lidar data in Lollex campaign 2022-2023

description: <strong>Introduction:</strong>Timespan : 2022-09-20 : 2023-08-28Time resolution : 1 secondAltitudes (m)= 40 60 80 100 125 150 175 200 225 250 275 290CNR (dB) : signal to noise ratioRadial Wind Speed (m/s) : wind speed observed along the line of sight of the beam at each timestampWind Speed (m/s) : Reconstructed wind speed (m/s) at each altitude10-min Wind Speed (m/s)Wind Direction : wind directionX-wind (m/s) : wind speed component in x directionY-wind (m/s) : wind speed component in y directionZ-wind (m/s) : wind speed component in z directionTemperature : ambient weather temperature
These data files belong to the <strong>Lollex</strong> campaign. Data was collected in Rødsand II offshore wind farm (Denmark), aboard the crew transport vessel (CTV) in Rodbyhavn Denmark. The lidar used in this campaign is WindCube V2 offshore produced in Leosphere.
<br>
<strong>Resource Title</strong>: 
Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation
DOI: 10.1088/1742-6596/1669/1/012020
<br>
<strong>Aim of data collection:</strong>
This one-year campaign aimed to assess wind conditions within Rødsand II offshore wind farm (Denmark).The objective of this campaign was to capture a comprehensive picture of the flow inside the wind farm, with a particular emphasis on momentum entrainment and the characteristics of the internal boundary layer (IBL).
<strong>Usage of data:</strong>
Using this dataset, wind speed profiles inside the wind farm (during the day) and at the harbor (during night) can be determined. It is possible to detect wind direction and wake loss behind the turbines based on the vessel's position within the wind farm.
In order to retrieve wind speed from lidar data, we recommend using the Python Oblopy package (link in references). This Python package has been developed and published by Christina Duscha at University of Bergen. It is a tool for retrieving wind velocity from wind profiling lidar data.
Upon request, routine scripts can also be provided for processing data.
<strong>Note: Motion correction has not been applied to this dataset.</strong>
<strong>Text editors can be used to open these files for preview.</strong>
<strong>Dataset specification :</strong>
<strong>Parameters measured:</strong>
<br>
DOI: 10.11583/dtu.22739729
title: Ship-based vertical profiling wind lidar data in Lollex campaign 2022-2023

description: <strong>Introduction:</strong>Timespan : 2022-09-20 : 2023-08-28Time resolution : 1 secondAltitudes (m)= 40 60 80 100 125 150 175 200 225 250 275 290CNR (dB) : signal to noise ratioRadial Wind Speed (m/s) : wind speed observed along the line of sight of the beam at each timestampWind Speed (m/s) : Reconstructed wind speed (m/s) at each altitude10-min Wind Speed (m/s)Wind Direction : wind directionX-wind (m/s) : wind speed component in x directionY-wind (m/s) : wind speed component in y directionZ-wind (m/s) : wind speed component in z directionTemperature : ambient weather temperature
These data files belong to the <strong>Lollex</strong> campaign. Data was collected in Rødsand II offshore wind farm (Denmark), aboard the crew transport vessel (CTV) in Rodbyhavn Denmark. The lidar used in this campaign is WindCube V2 offshore produced in Leosphere.
<br>
<strong>Resource Title</strong>: 
Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation
DOI: 10.1088/1742-6596/1669/1/012020
<br>
<strong>Aim of data collection:</strong>
This one-year campaign aimed to assess wind conditions within Rødsand II offshore wind farm (Denmark).The objective of this campaign was to capture a comprehensive picture of the flow inside the wind farm, with a particular emphasis on momentum entrainment and the characteristics of the internal boundary layer (IBL).
<strong>Usage of data:</strong>
Using this dataset, wind speed profiles inside the wind farm (during the day) and at the harbor (during night) can be determined. It is possible to detect wind direction and wake loss behind the turbines based on the vessel's position within the wind farm.
In order to retrieve wind speed from lidar data, we recommend using the Python Oblopy package (link in references). This Python package has been developed and published by Christina Duscha at University of Bergen. It is a tool for retrieving wind velocity from wind profiling lidar data.
Upon request, routine scripts can also be provided for processing data.
<strong>Note: Motion correction has not been applied to this dataset.</strong>
<strong>Text editors can be used to open these files for preview.</strong>
<strong>Dataset specification :</strong>
<strong>Parameters measured:</strong>
<br>
DOI: 10.6084/m9.figshare.24803196
title: BSDA_Speckle decorrelation OD=0.35&0.5 pH2&pH8

description: BSDA_Speckle decorrelation datasets. Speckle decorrelation curves of five bacteria under different conditions. OD=0.35&0.5 pH2&pH8. The bacteria are: L. acidophilus, L. gasseri, L. casei Shirota, L. plantarum, and 37 5AS.
DOI: 10.6084/m9.figshare.24803196.v3
title: BSDA_Speckle decorrelation OD=0.35&0.5 pH2&pH8

description: BSDA_Speckle decorrelation datasets. Speckle decorrelation curves of five bacteria under different conditions. OD=0.35&0.5 pH2&pH8. The bacteria are: L. acidophilus, L. gasseri, L. casei Shirota, L. plantarum, and 37 5AS.
DOI: 10.25318/3310072301-eng
title: Private sector business counts by majority ownership, fourth quarter of 2023

description: Private sector business counts by majority ownership, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.
DOI: 10.6084/m9.figshare.24806106
title: readme.md

description: A dataset used for SCCD.
DOI: 10.5281/zenodo.8344385
title: Iodine oxoacids enhance nucleation of sulfuric acid particles in the atmosphere: data resources

description: Data resources for manuscript: "Iodine oxoacids enhance nucleation of sulfuric acid particles in the atmosphere"
DOI: 10.5281/zenodo.8344386
title: Iodine oxoacids enhance nucleation of sulfuric acid particles in the atmosphere: data resources

description: Data resources for manuscript: "Iodine oxoacids enhance nucleation of sulfuric acid particles in the atmosphere"
DOI: 10.25318/3310072301-fra
title: Entreprises du secteur privé, selon le propriétaire majoritaire, quatrième trimestre de 2023

description: Entreprises du secteur privé, selon le propriétaire majoritaire, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2023.
DOI: 10.5281/zenodo.10377071
title: GPlates files, python code, and crustal thickness estimates used to build all of the deformable plate reconstructions presented in King and Welford 2022a and 2022b.
DOI: 10.5281/zenodo.10377072
title: GPlates files, python code, and crustal thickness estimates used to build all of the deformable plate reconstructions presented in King and Welford 2022a and 2022b.
DOI: 10.17026/dans-x7n-2y6x
title: CLIWOC - Climatological Database for the World's Oceans 1750-1850 (release 1.5)

description: The principal objective of the CLIWOC project was to realise the scientific potential of logbook climatic data and to produce a database of daily weather observations for the world's oceans between 1750 and 1850. Another objective was to provide a comprehensive understanding of the nature of climatic change over the oceans for the century after 1750 when logbooks became abundant and to link with existing databases such as the I-COADS dataset (International Comprehensive Ocean-Atmosphere Data Set). The study period is also significant because it marks a period when climatic change cannot be seen as a consequence of world-wide industrialization and the release of greenhouse gases into the atmosphere. The files of the Dutch part of the CLIWOC dataset are divided into three major clusters: 721 Access database files, 418 digitized ships' logbooks (jpg-files) and 369 webpages. These clusters are described under 'Data collections'. One of the project's main achievements was the preparation of a database drawing on British, Dutch, French and Spanish naval logbook records for the immediate pre-instrumental period (1750-1853). This database is freely available on the KNMI website (http://www.knmi.nl/cliwoc/cliwocdata.htm).
DOI: 10.5281/zenodo.10377128
title: RAN and NWDAF combined data from Cellular Network

description: Dataset containing various RAN and UEs metrics collected from 4 BSs deployed at Piazza D'Uomo, Catania. Metrics can be used for machine learning-based studies for physical resource block (PRBs) allocation in the context of O-RAN to maximize various KPMs, such as throughput or delay.
DOI: 10.5281/zenodo.10377129
title: RAN and NWDAF combined data from Cellular Network

description: Dataset containing various RAN and UEs metrics collected from 4 BSs deployed at Piazza D'Uomo, Catania. Metrics can be used for machine learning-based studies for physical resource block (PRBs) allocation in the context of O-RAN to maximize various KPMs, such as throughput or delay.