cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/2a5313eb-bce4-47ab-b757-1e3435a84506.v1
title: Matlab files used to produce the figures in the publication: On the Derivation of Closed-Form Expressions for Displacements, Strains and Stresses Inside Poroelastic Reservoirs

description: MATLAB code to recreate figures from the paper:<br><em>Cornelissen, P., Meulenbroek, B.J., Jansen, J.D., (2023). On the Derivation of Closed-Form Expressions for Displacements, Strains and Stresses Inside Poroelastic Reservoirs. Submitted to JGR Solid Earth.</em><br>The MATLAB scripts are used to compute the analytical solution for the poroelastic strain and stress field for rectangular and triangular reservoirs. The analytical solutions have been derived using inclusion theory (Equations 40-42 and 45-47 of the associated manuscript). The purpose of these scripts is to verify the analytical solutions by computing the strain discontinuity across the inclusion boundary and computing the volumetric strain in and outside the inclusion, and to show an example of an application of inclusion theory to reservoir depletion. These scripts produce Figures 5, 6, and 9 of the associated manuscript.<br><br><br>
DOI: 10.5281/zenodo.10369362
title: TopasOpt: working with noisy data example

description: TopasOpt is an optimisation wrapper for Topas Monte Carlo. This is the pre-run data described in this document:
https://image-x-institute.github.io/TopasOpt/NoisyOptimisation.html
DOI: 10.5281/zenodo.10369361
title: TopasOpt: working with noisy data example

description: TopasOpt is an optimisation wrapper for Topas Monte Carlo. This is the pre-run data described in this document:
https://image-x-institute.github.io/TopasOpt/NoisyOptimisation.html
DOI: 10.6084/m9.figshare.24798351
title: Additional file 7 Table S3.pdf

description: Table S3. Reproductive fertility performance of the mice.
DOI: 10.6084/m9.figshare.24798351.v1
title: Additional file 7 Table S3.pdf

description: Table S3. Reproductive fertility performance of the mice.
DOI: 10.5281/zenodo.10316548
title: Emily Dickinson Archive TEI_files

description: This dataset contains TEI files of Emily Dickinson poems. For more information on the files, see the Emily Dickinson Archive website https://www.edickinson.org/
DOI: 10.5281/zenodo.10316549
title: Emily Dickinson Archive TEI_files

description: This dataset contains TEI files of Emily Dickinson poems. For more information on the files, see the Emily Dickinson Archive website https://www.edickinson.org/
DOI: 10.18712/nsd-nsd2882-6-v2
title: The Citizen Survey - Nursing home, 2017

description: The Citizen Survey - Nursing home, 2017 is a part of the Citizen Survey which is conducted by the Public Management and eGovernment (DIFI) and is one of the largest surveys of public administration in Norway. It will provide a better knowledge base for assessing the development of public services across sectors, and provide knowledge that can contribute to the further development of public enterprises in the long term. The population survey says something about how satisfied residents and users are with their municipality and with the large services / businesses in the administration. The results from the survey provide increased insight into users' perceptions of companies in the areas of education and culture, health, care and government agencies. Kantar TNS is responsible for data collection in 2017.

The 2017 population survey consists of a population section and a user section. The population section provides an overall picture of the inhabitants' view of the municipality of residence, including an assessment of the municipal services and trust in politicians and the administration. The user section maps experiences with 22 selected public services in the areas of education and culture, health, care and government agencies.
DOI: 10.6084/m9.figshare.24679680
title: Density CD45 1X light sheet.xlsx

description: 3D light sheet imaging of glioblastoma mouse tumors at D15, D21 and D28 post-graft. Mice were treated or not with smac mimetic GDC-0152.
DOI: 10.6084/m9.figshare.24679680.v1
title: Density CD45 1X light sheet.xlsx

description: 3D light sheet imaging of glioblastoma mouse tumors at D15, D21 and D28 post-graft. Mice were treated or not with smac mimetic GDC-0152.
DOI: 10.6084/m9.figshare.24798357
title: Additional file 13 Table 1.pdf

description: Table 1. Primers used for RT-PCR
DOI: 10.6084/m9.figshare.24679686
title: Distance LysM_CD11c_Double_ vessels twophoton.xlsx

description: Quantification of moDCs with and without SMg treatment
DOI: 10.6084/m9.figshare.24679686.v1
title: Distance LysM_CD11c_Double_ vessels twophoton.xlsx

description: Quantification of moDCs with and without SMg treatment
DOI: 10.6084/m9.figshare.24798294
title: Telomere-to-telomere genome assembly of the Taihu goose

description: Our study presents the pioneering assembly of a high-quality Taihu goose genome at the Telomere-to-Telomere (T2T) level. By employing advanced sequencing technologies, including Pacific Biosciences HiFi reads, Oxford Nanopore long reads, Illumina short reads, and chromatin conformation capture (Hi-C), we achieved an exceptionally assembly. The T2T assembly encompasses a total length of 1,197,991,206 bp, with contigs N50 reaching 33,928,929 bp and scaffold N50 attaining 81,007,908 bp.
DOI: 10.6084/m9.figshare.24798294.v1
title: Telomere-to-telomere genome assembly of the Taihu goose

description: Our study presents the pioneering assembly of a high-quality Taihu goose genome at the Telomere-to-Telomere (T2T) level. By employing advanced sequencing technologies, including Pacific Biosciences HiFi reads, Oxford Nanopore long reads, Illumina short reads, and chromatin conformation capture (Hi-C), we achieved an exceptionally assembly. The T2T assembly encompasses a total length of 1,197,991,206 bp, with contigs N50 reaching 33,928,929 bp and scaffold N50 attaining 81,007,908 bp.
DOI: 10.21227/gj12-n882
title: PCSPF-Pancreatic Cancer Survival based on Preoperative Features

description: The prognostic survival dataset, Pancreatic Cancer Survival based on Preoperative Features (PCSPF), was constructed to explore the impact of key preoperative features on prognosis based on the follow-up data of patients with pancreatic cancer at Changhai Hospital, Shanghai, China. Based on the suggestions of doctors, the PCSPF contained 20 preoperative features that they considered important, including sex, abdominal pain, age, body mass index (BMI), C-reactive protein (CRP), albumin (ALB), CRP/ALB, leukocyte, neutrocyte, platelet, lymphocyte, neutrocyte lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-inflammation index (SII), lactic dehydrogenase, carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), prealbumin, total bilirubin, and directed bilirubin. The most critical preoperative features affecting individual patients were selected from this list. Patients that survived for less than 90 days, had samples with missing values, or were labeled as survivors but had less than 365 days of follow-up were excluded from the initial 2,257 samples. These steps eliminated potential confounders that could have arisen from surgical interventions or statistical data. In total, 878 samples were selected to construct the dataset. In addition, pancreatic cancer survival prediction was formulated as a binary classification task because survival for at least one year is an important threshold for the prognosis of pancreatic cancer patients. Based on the survival duration, 1 and 0 denoted patients surviving one year or more and less than one year, respectively.
DOI: 10.6084/m9.figshare.24798366
title: Additional file 15 raw data.xlsx

description: The individual data values for figures.
DOI: 10.6084/m9.figshare.24798366.v1
title: Additional file 15 raw data.xlsx

description: The individual data values for figures.
DOI: 10.5281/zenodo.10101572
title: Supplementary files for AI4NAMS project

description: EU; csv; KNOW@efsa.europa.eu;
DOI: 10.5281/zenodo.10101573
title: Supplementary files for AI4NAMS project

description: EU; csv; KNOW@efsa.europa.eu;
DOI: 10.5281/zenodo.8109606
title: Drought exacerbates dryland soil carbon loss from inorganic carbon under warming

description: Soil and microbial data for the study entitled "Drought exacerbates dryland soil carbon loss from inorganic carbon under warming".
DOI: 10.5281/zenodo.8109607
title: Drought exacerbates dryland soil carbon loss from inorganic carbon under warming

description: Soil and microbial data for the study entitled "Drought exacerbates dryland soil carbon loss from inorganic carbon under warming".
DOI: 10.6084/m9.figshare.3502445.v22
title: The Infant Gut Dataset

description: The archive file contains the merged anvi'o profile, and the contigs database for the Infant Gut data from Sharon et al. that is suitable to analyze with anvi'o v7.1 or later.<br>Please see http://merenlab.org/tutorials/infant-gut/ for details.
DOI: 10.34740/kaggle/dsv/7190113
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7190114
title: OnlineFree
DOI: 10.6084/m9.figshare.24798540
title: Geophysical constraints on continental rejuvenation in central China: Implications for outward growth of the Tibetan Plateau

description: Double-difference seismic tomography: Vp and Vs Data.
DOI: 10.6084/m9.figshare.24798540.v1
title: Geophysical constraints on continental rejuvenation in central China: Implications for outward growth of the Tibetan Plateau

description: Double-difference seismic tomography: Vp and Vs Data.
DOI: 10.6084/m9.figshare.24473092.v1
title: A deep unrolled neural network for real-time MRI-guided brain intervention

description: These datasets are used for training and testing LSFP-Net.
DOI: 10.6084/m9.figshare.24473092
title: A deep unrolled neural network for real-time MRI-guided brain intervention

description: These datasets are used for training and testing LSFP-Net.
DOI: 10.6084/m9.figshare.22816400.v1
title: A Unified Watson-Crick Geometry Drives Transcription of Six-Letter Expanded DNA Alphabets by Cellular RNA Polymerase

description: Manuscript and Validation Reports
DOI: 10.6084/m9.figshare.22816400
title: A Unified Watson-Crick Geometry Drives Transcription of Six-Letter Expanded DNA Alphabets by Cellular RNA Polymerase

description: Manuscript and Validation Reports
DOI: 10.5281/zenodo.7741675
title: Dataset: A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery

description: Dataset for the results shown in the publication "A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery"
DOI: 10.5281/zenodo.7741676
title: Dataset: A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery

description: Dataset for the results shown in the publication "A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery"
DOI: 10.25403/upresearchdata.24772074
title: Food fraud vulnerability assessment responses data for food specialists and meat consumers

description: Two groups of participants were used for this dataset, namely food specialists and meat consumers. The sample for the meat consumer were conveniently selected within a radius of twenty kilometers from Pretoria Central. Sampling participants were also on availability, accessibility, geographic proximity and willingness to participate in the study. The food specialists were selected because of their expertise in vulnerability issues of food fraud. However, the challenge was gathering data when mobility was restricted (COVID-19). Both questionnaires included close-ended and open-ended questions to get better insights from both participants and a pre-survey was done on ten meat consumers and five food specialists. Collected data was analyzed using IBM Statistical Package for Social Sciences Version 27. Data was edited, and coded. However, sampling was only done in Pretoria and excluded other metropolitan areas, and the budget was limited for techniques and data collection.
DOI: 10.25403/upresearchdata.24772074.v1
title: Food fraud vulnerability assessment responses data for food specialists and meat consumers

description: Two groups of participants were used for this dataset, namely food specialists and meat consumers. The sample for the meat consumer were conveniently selected within a radius of twenty kilometers from Pretoria Central. Sampling participants were also on availability, accessibility, geographic proximity and willingness to participate in the study. The food specialists were selected because of their expertise in vulnerability issues of food fraud. However, the challenge was gathering data when mobility was restricted (COVID-19). Both questionnaires included close-ended and open-ended questions to get better insights from both participants and a pre-survey was done on ten meat consumers and five food specialists. Collected data was analyzed using IBM Statistical Package for Social Sciences Version 27. Data was edited, and coded. However, sampling was only done in Pretoria and excluded other metropolitan areas, and the budget was limited for techniques and data collection.
DOI: 10.17909/rjsp-vz63
title: NIRCam WFSS - Abell 2744

description: NIRCam WFSS (F300M, F335M, F410M, F460M) and imaging (F182M, F210M, F300M, F335M, F410M, F460M) of the cluster Abell 2744 and surrounding area.
DOI: 10.17617/3.omf3jwm
title: Analytical improvements and assessment of long-term performance of the oxidation-denitrifier method

description: This dataset contains the schematics of the argon purging system and oxidation rack ("sandwich"), as well as the dataset used to monitor long term reproducibility of the oxidation-denitrifier method at the Max Planck Institute for Chemistry, Climate Geochemistry department.
DOI: 10.18465/792af292-d472-47dd-886c-fcf5660ea339
title: MNS Noirmoutier en l'Ile 2023

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte vendéenne au niveau de Noirmoutier en l'Ile
DOI: 10.5281/zenodo.10361033
title: The Russian Leadership's Artificial Intelligence Narrative

description: This list of online resources provides an overview of Russian official statements and developments in relation to artificial intelligence (AI) technologies from 2018 to 2023. It is based on a keyword search across five open-access sources, namely the websites of the President of Russia, the Government of Russia, and three main Russian news agencies: Interfax, RIA Novosti, and TASS. This compilation can be used to describe or analyse, among others, policy developments in the sphere of AI in Russia; the Russian leadership's statements, announcements, and discourses about AI technologies; as well as how these technologies are presented in official settings involving Russian policymakers.
This dataset forms the main empirical data for the article "Technology in the Quest for Status: The Russian Leadership's Artificial Intelligence Narrative" by Anna Nadibaidze (accepted in Journal of International Relations and Development, December 2023).
DOI: 10.5281/zenodo.10361032
title: The Russian Leadership's Artificial Intelligence Narrative

description: This list of online resources provides an overview of Russian official statements and developments in relation to artificial intelligence (AI) technologies from 2018 to 2023. It is based on a keyword search across five open-access sources, namely the websites of the President of Russia, the Government of Russia, and three main Russian news agencies: Interfax, RIA Novosti, and TASS. This compilation can be used to describe or analyse, among others, policy developments in the sphere of AI in Russia; the Russian leadership's statements, announcements, and discourses about AI technologies; as well as how these technologies are presented in official settings involving Russian policymakers.
This dataset forms the main empirical data for the article "Technology in the Quest for Status: The Russian Leadership's Artificial Intelligence Narrative" by Anna Nadibaidze (accepted in Journal of International Relations and Development, December 2023).
DOI: 10.25625/ekrji2
title: Airborne acquisition extent 2020

description: Shapefile of extent of the airborne remote sensing data acquisitions in 2020. These acquisition consist of LiDAR and hyperspectral data as well as high-resolution true-color orthophotos.
DOI: 10.25403/upresearchdata.24784086
title: Progress in International Reading Literacy (PIRLS) 2023 English and isiZulu achievement

description: This dataset is secondary data primarily collected by the University of Pretoria in collaboration with the Department of Basic Education. It mainly contains variables that deal with the achievement scores of grade 4 learners who completed the Progress in International Reading Literacy 2023 assessment booklets in English and isiZulu. The data was collected through the PIRLS 2023 Achievement booklets. The data was cleaned and processed by the primary researchers at the Center for Evaluation and Assessments at the University of Pretoria. For the purpose of the dissertation concerned, the data was reanalysed to look at the raw scores, mean scores and percentages. During the analysis, various programs were utilised to analyse the data. Statistical Package for Social Sciences, International Data-Base Analyzer and Rasch Unidimensional Measurement Models 2023 were the software used to analyse the data to produce the outputs required to address the research questions posed in the dissertation concerned. Specifically, the data file uploaded here requires to be accessed through the Statistical Package for Social Sciences in conjunction with International Data-Base Analyzer, and then various steps are necessary to analyse the data, recode and prepare the data for Microsoft Excel and to Rasch Unidimensional Measurement Models 2023.
DOI: 10.25403/upresearchdata.24784086.v1
title: Progress in International Reading Literacy (PIRLS) 2023 English and isiZulu achievement

description: This dataset is secondary data primarily collected by the University of Pretoria in collaboration with the Department of Basic Education. It mainly contains variables that deal with the achievement scores of grade 4 learners who completed the Progress in International Reading Literacy 2023 assessment booklets in English and isiZulu. The data was collected through the PIRLS 2023 Achievement booklets. The data was cleaned and processed by the primary researchers at the Center for Evaluation and Assessments at the University of Pretoria. For the purpose of the dissertation concerned, the data was reanalysed to look at the raw scores, mean scores and percentages. During the analysis, various programs were utilised to analyse the data. Statistical Package for Social Sciences, International Data-Base Analyzer and Rasch Unidimensional Measurement Models 2023 were the software used to analyse the data to produce the outputs required to address the research questions posed in the dissertation concerned. Specifically, the data file uploaded here requires to be accessed through the Statistical Package for Social Sciences in conjunction with International Data-Base Analyzer, and then various steps are necessary to analyse the data, recode and prepare the data for Microsoft Excel and to Rasch Unidimensional Measurement Models 2023.
DOI: 10.18465/0019d7ad-2790-4cca-a98c-8460ff7b58ea
title: MNT Noirmoutier en l'Ile 2023

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte vendéenne au niveau de Noirmoutier en l'Ile
DOI: 10.5283/epub.55204
title: Data archive of "Sharpness of the Berezinskii-Kosterlitz-Thouless Transition in Disordered NbN Films".
DOI: 10.25403/upresearchdata.24768912
title: Heat transfer coefficients and dryout performance coefficients with respect to heat flux and film flow rate of uncoated and CuO nano coated commercially micro-enhanced tubes

description: The data includes the tube outside surface heat transfer coefficients of uncoated as well as CuO (Copper oxide) nanocoated commercially micro-enhanced tubes. The data accommodates the Wieland tubes of GEWA-B5, GEWA-KS and the EHPII tube. A roughened tube was also included. The working boiling medium was R134a refrigerant. The heat transfer coefficients were recorded across heat flux sweeps ranging from 20 kW/m2 to 100 kW/m2, in saturation temperatures of 5°C and 25°C (only for the GEWA-KS and EHPII). Dryout tests were performed at constant heat fluxes of 20 kW/m2, 50 kW/m2 and 80 kW/m2, ranging from total wetted surfaces (0.13 kg/m/s) down to where dryout was observed.
This data does not require any software to analyze (only Microsoft Excel). This data was also experimentally obtained from the Falling Film Boiling Rig at the University of Pretoria. The data was used in a thesis as well as in articles published.
DOI: 10.25403/upresearchdata.24768912.v1
title: Heat transfer coefficients and dryout performance coefficients with respect to heat flux and film flow rate of uncoated and CuO nano coated commercially micro-enhanced tubes

description: The data includes the tube outside surface heat transfer coefficients of uncoated as well as CuO (Copper oxide) nanocoated commercially micro-enhanced tubes. The data accommodates the Wieland tubes of GEWA-B5, GEWA-KS and the EHPII tube. A roughened tube was also included. The working boiling medium was R134a refrigerant. The heat transfer coefficients were recorded across heat flux sweeps ranging from 20 kW/m2 to 100 kW/m2, in saturation temperatures of 5°C and 25°C (only for the GEWA-KS and EHPII). Dryout tests were performed at constant heat fluxes of 20 kW/m2, 50 kW/m2 and 80 kW/m2, ranging from total wetted surfaces (0.13 kg/m/s) down to where dryout was observed.
This data does not require any software to analyze (only Microsoft Excel). This data was also experimentally obtained from the Falling Film Boiling Rig at the University of Pretoria. The data was used in a thesis as well as in articles published.
DOI: 10.25625/ckly7x/cznxro
title: CHM_PTPN6_UTM48S_EPSG_32748.tif

description: :unav
DOI: 10.25625/ckly7x/ojzfdo
title: CHM_Batanghari_UTM48S_EPSG_32748.tif

description: :unav
DOI: 10.25625/ckly7x/bmabsj
title: CHM_Harapan_UTM48S_EPSG_32748.tif

description: :unav
DOI: 10.25625/ckly7x/fquium
title: CHM_Sarolangun_UTM48S_EPSG_32748.tif

description: :unav
DOI: 10.25625/ckly7x/knzft3
title: Area2_CHM_2022_UTM48S_EPSG32748.tif

description: :unav
DOI: 10.25625/ckly7x/ktfgem
title: Area1_CHM_2022_UTM48S_EPSG32748.tif

description: :unav
DOI: 10.25625/ckly7x/qmkrkq
title: Area3_CHM_2022_UTM48S_EPSG32748.tif

description: :unav
DOI: 10.34740/kaggle/dsv/7190366
title: Egypt Gold Prices | Daily Updated