cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18141/1894134
title: Supplementary Data for "Evaluation of the Economic Implications of Varied Pressure Drawdown Strategies Generated Using a Real-time, Rapid Predictive, Multi-fidelity Model for Unconventional Oil and Gas Wells" by Bello, K., Vikara, D., Sheriff, A., Viswanathan, H., Carr, T., Sweeney, M., O'Malley, D., Marquis, M., Vactor, R.T., and Cunha, L.

description: The Bello et al. study evaluates the impact of contrasting pressure drawdown on gas productivity and the resulting economics of a well in the Marcellus Shale of the Appalachian Basin. This research applies a techno-economic analysis approach to help identify potential ways pressure management strategies can be used to improve cumulative recovery of hydraulically fractured horizontal wells while maintaining project profitability. Gas production forecast outlook scenarios of the Marcellus Shale Energy and Environment Laboratory Laboratory's MIP-3H well were generated under varying pressure drawdowns using two approaches: 1) a novel physics-informed machine learning (PIML) workflow and 2) via traditional reservoir simulation in Computer Modeling Group’s (CMG) GEM Compositional & Unconventional Simulator. Cash flow and other economic metrics of interest were compiled on the production outlook using the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) Unconventional Shale Well Economic Model (UShWEM).The sheets within this Microsoft ExcelTM workbook provide the economic metric outputs for the baseline condition and the one-at-a-time (OAT) sensitivity analysis of UShWEM's input parameters for each of the production scenarios evaluated.
DOI: 10.34740/kaggle/dsv/4784002
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.21786302
title: Baseline Data for Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia

description: This is the baseline dataset for our study titled Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia
DOI: 10.6084/m9.figshare.21786302.v2
title: Baseline Data for Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia

description: This is the baseline dataset for our study titled Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia
DOI: 10.5281/zenodo.7490623
title: GIGN_baselines_dataset

description: Processed graphs for six GNN-based methods.
DOI: 10.5281/zenodo.7490622
title: GIGN_baselines_dataset

description: Processed graphs for six GNN-based methods.
DOI: 10.18112/openneuro.ds003633.v1.0.4
title: ForrestGump-MEG
DOI: 10.5519/qd.0b2yr6qm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc27vvcb
title: CCDC 2081382: Experimental Crystal Structure Determination

description: Related Article: W. Dong, C. F. Xiu , C. Y. Liu, W. N. Wu , L. Z. Huang, H. Y. Wang , H. P. Zhang|2022|Zh.Neorg.Khim.|67|1973|doi:10.1134/S0036023622100618
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: 10.7910/dvn/ehqay8/ar8vi1
title: Report_DCar17-2543_DCar16-2266_metadata.xlsx

description: :unav
DOI: 10.7910/dvn/ehqay8/ecf0iu
title: Silver_carp_sampling_data_2.tab

description: :unav
DOI: 10.7910/dvn/ehqay8/qz6bko
title: Report_DCar17-2543_DCar16-2266_SilicoDArT_1.csv

description: :unav
DOI: 10.7910/dvn/ehqay8/rp0ggw
title: Report_DCar17-2543_DCar16-2266_SNP_singlerow_2.csv

description: :unav
DOI: 10.34740/kaggle/dsv/4784550
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.21788999
title: Supplementary Material for: A Novel Role of Semaphorin 3C in Modulating Systemic and Renal Hemodynamics

description: <b><i>Background:</i></b> Alterations of renal hemodynamics play an essential role in renal homeostasis and kidney diseases. Recent data indicated that semaphorin 3C (SEMA3C), a secreted glycoprotein involved in vessel development, can modulate renal vascular permeability in acute kidney injury, but whether and how it might impact systemic and renal hemodynamics is unknown. <b><i>Objectives:</i></b> The objective of the study was to explore the effect of SEMA3C on systemic and renal hemodynamics. <b><i>Methods:</i></b> SEMA3C recombinant protein was administered intravenously in two-month-old wild-type mice, and the variations of mean arterial pressure, heart rate, renal blood flow, and renal vascular resistance were measured and analyzed. <b><i>Results:</i></b> Acute administration of SEMA3C induced (i) systemic hemodynamic changes, including mean arterial pressure decrease and heart rate augmentation; (ii) renal hemodynamic changes, including reduced vascular resistance and elevated renal blood flow. Continuous perfusion of SEMA3C had no significant effect on systemic or renal hemodynamics. <b><i>Conclusion:</i></b> SEMA3C is a potent vasodilator affecting both systemic and renal hemodynamics in mice.
DOI: 10.6084/m9.figshare.21788999.v1
title: Supplementary Material for: A Novel Role of Semaphorin 3C in Modulating Systemic and Renal Hemodynamics

description: <b><i>Background:</i></b> Alterations of renal hemodynamics play an essential role in renal homeostasis and kidney diseases. Recent data indicated that semaphorin 3C (SEMA3C), a secreted glycoprotein involved in vessel development, can modulate renal vascular permeability in acute kidney injury, but whether and how it might impact systemic and renal hemodynamics is unknown. <b><i>Objectives:</i></b> The objective of the study was to explore the effect of SEMA3C on systemic and renal hemodynamics. <b><i>Methods:</i></b> SEMA3C recombinant protein was administered intravenously in two-month-old wild-type mice, and the variations of mean arterial pressure, heart rate, renal blood flow, and renal vascular resistance were measured and analyzed. <b><i>Results:</i></b> Acute administration of SEMA3C induced (i) systemic hemodynamic changes, including mean arterial pressure decrease and heart rate augmentation; (ii) renal hemodynamic changes, including reduced vascular resistance and elevated renal blood flow. Continuous perfusion of SEMA3C had no significant effect on systemic or renal hemodynamics. <b><i>Conclusion:</i></b> SEMA3C is a potent vasodilator affecting both systemic and renal hemodynamics in mice.
DOI: 10.5281/zenodo.4018614
title: Responses to AHP-style questionnaires regarding the publication "D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks"

description: In order to assess in advance the detectability of IoT-related cyber-attacks by anomaly-based network intrusion detection systems, we developed an expert-based method which relies on the AHP methodology. The online AHP-style questionnaire can be found here: https://bguprivacysurvey.limequery.com/537457 The dataset which is hereby made public, includes the (anonymous) responses of 40 cyber-security researchers and practitioners, covering 4 IoT attack scenarios. The related publication is mentioned hereinafter; please be sure to cite it upon the use of this dataset.
description: {"references": ["@article{MEIDAN2022103073, title = {D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks}, journal = {Computers & Security}, pages = {103073}, year = {2022}, issn = {0167-4048}, doi = {https://doi.org/10.1016/j.cose.2022.103073}, url = {https://www.sciencedirect.com/science/article/pii/S0167404822004655}, author = {Yair Meidan and Daniel Benatar and Ron Bitton and Dan Avraham and Asaf Shabtai} }"]}
DOI: 10.5281/zenodo.4018613
title: Responses to AHP-style questionnaires regarding the publication "D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks"

description: In order to assess in advance the detectability of IoT-related cyber-attacks by anomaly-based network intrusion detection systems, we developed an expert-based method which relies on the AHP methodology. The online AHP-style questionnaire can be found here: https://bguprivacysurvey.limequery.com/537457 The dataset which is hereby made public, includes the (anonymous) responses of 40 cyber-security researchers and practitioners, covering 4 IoT attack scenarios. The related publication is mentioned hereinafter; please be sure to cite it upon the use of this dataset.
description: {"references": ["@article{MEIDAN2022103073, title = {D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks}, journal = {Computers & Security}, pages = {103073}, year = {2022}, issn = {0167-4048}, doi = {https://doi.org/10.1016/j.cose.2022.103073}, url = {https://www.sciencedirect.com/science/article/pii/S0167404822004655}, author = {Yair Meidan and Daniel Benatar and Ron Bitton and Dan Avraham and Asaf Shabtai} }"]}
DOI: 10.6084/m9.figshare.21737303.v1
title: Continuous odor profile monitoring to study olfactory navigation in small animals

description: Dataset for analysis and demo code for publication: "Continuous odor profile monitoring to study olfactory navigation in small animals" Chen et al. 2022
DOI: 10.5281/zenodo.7491252
title: Effects of nutrients on the performance of biological sulfur recovery unit for sulfur removal from water

description: Table S1. Medium preparation compositions;<br> Table S2. Solution C composition for acclimatization medium.
DOI: 10.5281/zenodo.7491251
title: Effects of nutrients on the performance of biological sulfur recovery unit for sulfur removal from water

description: Table S1. Medium preparation compositions;<br> Table S2. Solution C composition for acclimatization medium.
DOI: 10.5281/zenodo.7017212
title: Dataset of Usability and Acceptance of Alboom: A Crowd-Based Early Warning System for Harmful Algal Blooms

description: Alboom is a crowd-based smartphone application and database system to record, store, analyze, share, and provide early warning information regarding harmful algal blooms (HABs). Similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of the application implementation. The dataset is the investigation results of usability and acceptance of Alboom. The questionnaires were built using an augmented technology acceptance model (TAM) to identify factors that affect the continual use intention of the application. In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including HAB awareness, social influence, and reward, were also studied. Furthermore, the usability factor was also examined, specifically using the System Usability Scale (SUS) approach.
DOI: 10.5281/zenodo.7017213
title: Dataset of Usability and Acceptance of Alboom: A Crowd-Based Early Warning System for Harmful Algal Blooms

description: Alboom is a crowd-based smartphone application and database system to record, store, analyze, share, and provide early warning information regarding harmful algal blooms (HABs). Similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of the application implementation. The dataset is the investigation results of usability and acceptance of Alboom. The questionnaires were built using an augmented technology acceptance model (TAM) to identify factors that affect the continual use intention of the application. In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including HAB awareness, social influence, and reward, were also studied. Furthermore, the usability factor was also examined, specifically using the System Usability Scale (SUS) approach.
DOI: 10.5281/zenodo.7491272
title: Dataset of Usability and Acceptance of Alboom: A Crowd-Based Early Warning System for Harmful Algal Blooms

description: Alboom is a crowd-based smartphone application and database system to record, store, analyze, share, and provide early warning information regarding harmful algal blooms (HABs). Similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of the application implementation. The dataset is the investigation results of usability and acceptance of Alboom. The questionnaires were built using an augmented technology acceptance model (TAM) to identify factors that affect the continual use intention of the application. In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including HAB awareness, social influence, and reward, were also studied. Furthermore, the usability factor was also examined, specifically using the System Usability Scale (SUS) approach.
DOI: 10.6084/m9.figshare.21786140
title: Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

description: Since TLS data is too big to upload, the dataset can only contain the example ULS point cloud data in different forest types (i.e., coniferous, mixed broadleaf-coniferous, broadleaf) before coarse-to-fine registration. The fused TLS and ULS data after registration can be used for the estimation of individual tree parameters (i.e., DBH and tree height) . B-1ULS and B-3ULS represent the ULS data of plot 1 and 3 in broadleaf forests, respectively; C-2ULS and C-4ULS represent the ULS data of plot 2 and 4 in coniferous forests, respectively; M-1ULS and M-2ULS represent the ULS data of plot 1 and 2 in mixed broadleaf-coniferous forests, respectively.
DOI: 10.6084/m9.figshare.21789092.v1
title: Pain, physical function, and depression in poststroke patients before and after the intervention.xlsx

description: Pain, physical function, and depression in stroke patients before and after the intervention.
DOI: 10.6084/m9.figshare.21302931
title: Primary Data

description: Primary data of Liessem et al. 2022 “Behavioral state-dependent modulation of Insulin-Producing Cells in Drosophila”. Information about methodology and data can be obtained from the STAR Methods section and readme.xlsx
DOI: 10.6084/m9.figshare.21302931.v1
title: Primary Data

description: Primary data of Liessem et al. 2022 “Behavioral state-dependent modulation of Insulin-Producing Cells in Drosophila”. Information about methodology and data can be obtained from the STAR Methods section and readme.xlsx
DOI: 10.25919/wnjg-5m56
title: Parkes observations for project P1101 semester 2022OCTS_08

description: We propose to carry out fortnightly monitoring of a very active repeater, FRB~190520, with the Parkes UWL system. Our current observations show that FRB~190520 is not only the most active FRB that can be observed with Parkes, but also shows extreme rotation measure (RM) variations and unique behavior at 2 to 3 GHz frequency. This makes UWL the ideal instrument to carry out in-depth studies of this repeating FRB. With this program, we expect to detect a large sample of bursts from FRB~190520, and in collaboration with the FAST telescope, we will study the local environment, emission properties, fluence distributions, and polarisation properties over an extremely wide bandwidth with high sensitivity.
DOI: 10.6084/m9.figshare.21789095
title: genotypic data used for BMC

description: Here is the VCF file containing all the accessions.
DOI: 10.6084/m9.figshare.21789095.v1
title: genotypic data used for BMC

description: Here is the VCF file containing all the accessions.
DOI: 10.5445/ir/1000154091
title: 3D USCT II Open Dataset (Phantom 2)

description: 3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 2 with embedded metal thread. 2: Empty measurement with the same parameters as the gelatin phantom 2, 1 aperture position.
DOI: 10.5445/ir/1000154092
title: 3D USCT II Open Dataset (Phantom 3)

description: 3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Organic phantom: olive embedded in turkey steak and gelatin. 2: Empty measurement with the same parameters as the organic phantom.
DOI: 10.5281/zenodo.7185331
title: Data for paper on the evolution of Chinese characters

description: This dataset contains all image, complexity and distinctiveness data that was used for: Han, S. J, Kelly, P., Winters, J., & Kemp, C. (2022). Simplification is not dominant in the evolution of Chinese characters. <em>Open Mind</em>. The code for this project can be found here. The file uploaded here is intended to replace the sample data folder that is available in the code repository. Our dataset includes data scraped from hanziyuan.net, as well as data from the following sources: Sun, C. C., Hendrix, P., Ma, J., & Baayen, R. H. (2018). Chinese lexical database (CLD): A large-scale lexical database for simplified Mandarin Chinese. Behavior Research Methods, 50(6), 2606–2629. Wikimedia Commons. (2021). Chinese characters decomposition. https://commons.wikimedia.org/wiki/Commons:Chinese_characters_decomposition Liu, C.-L., Yin, F., Wang, D.-H., & Wang, Q.-F. (2011). CASIA online and offline Chinese handwriting databases. In 2011 international conference on document analysis and recognition (pp. 37–41). https://doi.org/10.1109/ICDAR.2011.17 Chen, P.-C. (2020). Traditional Chinese handwriting dataset. GitHub. https://github.com/AI-FREE-Team/Traditional-Chinese-Handwriting-Dataset
description: This project was supported by ARC FT190100200
DOI: 10.5281/zenodo.7185330
title: Data for paper on the evolution of Chinese characters

description: This dataset contains all image, complexity and distinctiveness data that was used for: Han, S. J, Kelly, P., Winters, J., & Kemp, C. (2022). Simplification is not dominant in the evolution of Chinese characters. <em>Open Mind</em>. The code for this project can be found here. The file uploaded here is intended to replace the sample data folder that is available in the code repository. Our dataset includes data scraped from hanziyuan.net, as well as data from the following sources: Sun, C. C., Hendrix, P., Ma, J., & Baayen, R. H. (2018). Chinese lexical database (CLD): A large-scale lexical database for simplified Mandarin Chinese. Behavior Research Methods, 50(6), 2606–2629. Wikimedia Commons. (2021). Chinese characters decomposition. https://commons.wikimedia.org/wiki/Commons:Chinese_characters_decomposition Liu, C.-L., Yin, F., Wang, D.-H., & Wang, Q.-F. (2011). CASIA online and offline Chinese handwriting databases. In 2011 international conference on document analysis and recognition (pp. 37–41). https://doi.org/10.1109/ICDAR.2011.17 Chen, P.-C. (2020). Traditional Chinese handwriting dataset. GitHub. https://github.com/AI-FREE-Team/Traditional-Chinese-Handwriting-Dataset
description: This project was supported by ARC FT190100200
DOI: 10.34740/kaggle/dsv/4784912
title: AutoXGB
DOI: 10.6084/m9.figshare.16571103
title: FABIO-CHN PSUTs and MRIO tables 1990-2013

description: This dataset records the time-series physical supply and use tables (PSUTs) and multi-regional input-output (MRIO) tables of 85 agricultural and food products of China during the time period of 1990-2013. For detailed methodological processes to create the PSUTs and MRIO tables (for the year 2012 ONLY), please refer to the article, <em>Ye, Q., Bruckner, M., Wang, R., Schyns, J. F., Zhuo, L. Yang, L., Su, H., and Krol, M. S. A hybrid multi-regional input-output model of China: integrating the physical agricultural biomass and food system into the monetary supply chain. Resources, Conservation & Recycling 177.</em> You will be more than welcome to contact the authors if you meet any problems or have any questions regarding the FABIO-CHN dataset. <br> Updated (2022-12-29): trade data has been adjusted.
DOI: 10.6084/m9.figshare.16571103.v5
title: FABIO-CHN PSUTs and MRIO tables 1990-2013

description: This dataset records the time-series physical supply and use tables (PSUTs) and multi-regional input-output (MRIO) tables of 85 agricultural and food products of China during the time period of 1990-2013. For detailed methodological processes to create the PSUTs and MRIO tables (for the year 2012 ONLY), please refer to the article, <em>Ye, Q., Bruckner, M., Wang, R., Schyns, J. F., Zhuo, L. Yang, L., Su, H., and Krol, M. S. A hybrid multi-regional input-output model of China: integrating the physical agricultural biomass and food system into the monetary supply chain. Resources, Conservation & Recycling 177.</em> You will be more than welcome to contact the authors if you meet any problems or have any questions regarding the FABIO-CHN dataset.
DOI: 10.5281/zenodo.5805938
title: CT scans of COVID-19 patients

description: Datasets contain CT scans of COVID-19 patients from Faculty hospital of Královké Vinohrady in DICOM (and TIFF) used in paper <em>Estimation of Covid-19 lungs damage based on computer tomography images analysis</em> presenting the tool is available on F1000reserach DOI: 10.12688/f1000research.109020.1. The tool sued for the analysis of the dataset is published in Zenodo (10.5281/zenodo.5805990). Data were anonymized before exporting. Each patient has a folder with a unique ID, subfolder contains TIFF image for reach CT slice, and whenever possible DICOM files are added. All files contain ID and data format in the name. The CT data overview is in CSV for the whole dataset. Contributions:<br> Martin SCHÄTZ: Dataset preparation and couration<br> Olga RUBEŠOVÁ: Data selection and cleaning<br> David GIRSA: Data measuring and selection<br> Katarína NAĎOVA: Data measuring and selection The work was funded by the Ministry of Education, Youth and Sports by grant ‘Development of Advanced Computational Algorithms for evaluating post-surgery rehabilitation’ number LTAIN19007. The work was also supported from the grant of Specific university research – grant No FCHI 2022-001.
description: Additional CT scans will be uploaded when available.
DOI: 10.48529/7vqv-5f71
title: National Panel Survey 2012-2013, Wave 3
title: TZA_2012_NPS-R3_v01_M
DOI: 10.5066/p9pxcy4y
title: Raster and mapping data indicating landscape change from the June 2012 storm in the Duluth, MN region

description: The GeoTiff raster data were created from subtraction of elevation values collected in 2012 from elevation values collected in 2011. Both data collections were conducted by airborne lidar surveys contracted by the Minnesota Department of Natural Resources. These survey occured before and after a historical rain event that cause widespread landscape change. The shapefiles are polygon objects that illustrate where erosion and deposition occurred on slopes and in valleys in the June 2012 rain event in the Duluth, MN region.
DOI: 10.5281/zenodo.3763342
title: Soil-meteorological dataset collected at Frasne peatland (192ha, Jura Mountains, France)

description: Data of meteorological and soil physics measured on Frasne peatland in two stations (frn/bm1 and frn/bm2). Measurements start on 06-11-2008 and are regularly updated with new data. The measured parameters are: Air temperature (°C), Air pressure (mbar), Precipitation (mm), Relative humidity (%), ShortWave/LongWave outgoing/incoming radiation (W/m2), Photosynthetic photon flux density incoming (μmol/m2/s), Wind direction (°), Wind speed (m/s), Soil temperature (°C), Soil water content (%), Soil heat flux (W/m2), and Water table depth (m). Zip file contain : metadata file (TOUR_en.json) which describe stations, sensors, variables and process csv file contain time series data for all variables by station Additional information on the measurement can be found in this website : https://data-snot.cnrs.fr/data-access/ We also recommend to contact sno-tourbieres for additional information about data acquisition and use : contact.sno-tourbieres@cnrs-orleans.fr