cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7936702
title: Prostate MRI clinically significant cancer

description: This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set concerns clinically significant prostate cancer classification on bi-parametric magnetic resonance imaging (bpMRI) and was derived from the Prostate Imaging: Cancer AI (PI-CAI) challenge's public training and development dataset (v2.0). The data set was originally introduced and described by Saha et al. (2022), and no images or patient information were added. Data was restructured in compliance with the AUC23 challenge format. The data set contains 1500 anonymized prostate bpMRI scans from 1476 patients acquired between 2012-2021 at three centers (Radboud University Medical Center, University Medical Center Groningen, Ziekenhuis Groep Twente) based in The Netherlands. Images are 4D tensors: 0: 3D Axial T2-weighted imaging (T2W) 1: 3D Axial apparent diffusion coefficient maps (ADC) 2: 3D Axial high b-value (≥ 1000 s/mm2) diffusion-weighted imaging (HBV) Classification labels: 0: Benign or indolent prostate cancer 1: Clinically significant prostate cancer (csPCa) Folder structure: imagesTr (root folder with all patients and studies)<br> ├── 10417_1000424_0000.mha (axial T2W imaging for study 1000424)<br> ├── 10417_1000424_0001.mha (axial ADC imaging for study 1000424)<br> ├── 10417_1000424_0002.mha (axial HBV imaging for study 1000424)<br> ├── ...<br> ├── 11251_1001274_0000.mha (axial T2W imaging for study 1001274)<br> ├── 11251_1001274_0001.mha (axial ADC imaging for study 1001274)<br> ├── 11251_1001274_0002.mha (axial HBV imaging for study 1001274)<br> ├── ... Please cite the following article if you are using the PI-CAI: Public Training and Development Dataset: <pre><code>A. Saha, J. J. Twilt, J. S. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. J. Fütterer, M. de Rooij, H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (Study Protocol)", DOI: 10.5281/zenodo.6522364 </code></pre>
description: {"references": ["Saha, Anindo, Twilt, Jasper Jonathan, Bosma, Joeran Sander, van Ginneken, Bram, Yakar, Derya, Elschot, Mattijs, Veltman, Jeroen, F\u00fctterer, Jurgen, de Rooij, Maarten, & Huisman, Henkjan. (2022). Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (Study Protocol) (1.0). Zenodo. https://doi.org/10.5281/zenodo.6522364", "https://pi-cai.grand-challenge.org/PI-CAI/"]}
DOI: 10.5281/zenodo.7936703
title: Prostate MRI clinically significant cancer

description: This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set concerns clinically significant prostate cancer classification on bi-parametric magnetic resonance imaging (bpMRI) and was derived from the Prostate Imaging: Cancer AI (PI-CAI) challenge's public training and development dataset. The data set was originally introduced and described by Saha et al. (2022), and no images or patient information were added. Data was restructured in compliance with the AUC23 challenge format. The data set contains 1500 anonymized prostate bpMRI scans from 1476 patients acquired between 2012-2021 at three centers (Radboud University Medical Center, University Medical Center Groningen, Ziekenhuis Groep Twente) based in The Netherlands. Images are 4D tensors: 0: 3D Axial T2-weighted imaging (T2W) 1: 3D Axial apparent diffusion coefficient maps (ADC) 2: 3D Axial high b-value (≥ 1000 s/mm2) diffusion-weighted imaging (HBV) Classification labels: 0: Benign or indolent prostate cancer 1: Clinically significant prostate cancer (csPCa) Folder structure: imagesTr (root folder with all patients and studies)<br> ├── 10417_1000424_0000.mha (axial T2W imaging for study 1000424)<br> ├── 10417_1000424_0001.mha (axial ADC imaging for study 1000424)<br> ├── 10417_1000424_0002.mha (axial HBV imaging for study 1000424)<br> ├── ...<br> ├── 11251_1001274_0000.mha (axial T2W imaging for study 1001274)<br> ├── 11251_1001274_0001.mha (axial ADC imaging for study 1001274)<br> ├── 11251_1001274_0002.mha (axial HBV imaging for study 1001274)<br> ├── ... Please cite the following article if you are using the PI-CAI: Public Training and Development Dataset: <pre><code>A. Saha, J. J. Twilt, J. S. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. J. Fütterer, M. de Rooij, H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (Study Protocol)", DOI: 10.5281/zenodo.6522364 </code></pre>
description: {"references": ["Saha, Anindo, Twilt, Jasper Jonathan, Bosma, Joeran Sander, van Ginneken, Bram, Yakar, Derya, Elschot, Mattijs, Veltman, Jeroen, F\u00fctterer, Jurgen, de Rooij, Maarten, & Huisman, Henkjan. (2022). Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (Study Protocol) (1.0). Zenodo. https://doi.org/10.5281/zenodo.6522364", "https://pi-cai.grand-challenge.org/PI-CAI/"]}
DOI: 10.3886/e134402v1
title: The role of the mass media in managing the Corona Virus Pandemic “A field study from the point of view of faculty members working in political science departments in Jordanian Universities”

description: This study aimed to identify the role of the media in managing the Coronavirus pandemic, “a field study from the point of view of faculty members in the political science departments in Jordanian universities.” The researcher used the descriptive analytical method and the comprehensive survey method. A questionaire had been designed for this purpose and distributed on the study population which consisted of 75 faculty members, through which 56 questionnaires were analyzed using the (SPSS) program. The study found an impact of the media in managing the Coronavirus pandemic, a field study from the point of view of faculty members working in political science departments in Jordanian universities. The study recommended the following: Adopting targeted and studied media programs at appropriate times for citizens, adopting the principle of limpidity and objectivity in conveying the facts, setting deterrent sanctions for those who spread rumors related to the crisis and tend to exaggerate its effects.
DOI: 10.34740/kaggle/dsv/5938129
title: Used Car Prediction Dataset
DOI: 10.48366/r597897
title: Comparison of cybersecurity knowledge graphs

description: This comparison provides an overview of cybersecurity knowledge graphs.
DOI: 10.6073/pasta/b3a52a39469c0360b656c19c62867060
title: Juvenile Tree Responses to Soil Warming at Harvard Forest 1995-2019

description: The main goal of this study is to assess eastern tree species’ growth, survivorship, and phenological responses to soil warming in order to forecast future changes in forest succession and carbon dynamics. From 2003 through 2010, we determined that shade-tolerant, normally slower-growing species benefitted most from warming. We are continuing to study species-species responses to investigate the duration of and mechanisms behind species- and functional group responses to climate warming. Monitoring long-term demographic and physiological responses of juvenile trees with and without soil warming will allow us to model future eastern tree species successional shifts under warmer climate conditions.
DOI: 10.6084/m9.figshare.22657438.v1
title: Supplementary Material for: Patient and Caregiver Reported Outcome Measures after Single-Level Selective Dorsal Rhizotomy in Pediatric and Young Adult Patients with Spastic Cerebral Palsy

description: Introduction: The aim of this cohort study is to assess the outcome of single-level selective dorsal rhizotomy (SDR) in children and young adults with spastic cerebral palsy (CP) treated at our institution, focusing on patient-reported outcome measures (PROMs) and quality of life (QoL) of patients and their caregivers. Methods: We included consecutive patients undergoing SDR from 2018 to 2020 at our institution. Subjective outcome was measured through PROMs, while functional outcome was measured through baseline characteristics, operative outcome, as well as short- and long-term follow-up. Furthermore, the effect of age at the time of surgery on patient/caregiver satisfaction was analyzed. Results: Seven patients (3 female, 43%) with a median age at surgery of 11.9 years (IQR 8.7-15.5) were included. All patients had a GMFCS score of at least IV before surgery. Five surgeries were palliative and two non-palliative. Based on PROMs, SDR showed very good QoL, and health-related outcome measures for both palliative and non-palliative patients. Patients/caregivers satisfaction was higher for the early subgroup (age ≤ 11) than the late subgroup (age &gt; 11). Functional outcome showed reduced spasticity in both groups. Blood transfusions were never needed, while no CSF leak, infection, or permanent morbidity was seen. Conclusion: Based on PROMs, SDR leads to high satisfaction and improved QoL, especially if done at an early age. Further studies with larger cohorts are necessary to underline and confirm our observations.
DOI: 10.6084/m9.figshare.23522976
title: S1_Table

description: S1_Table
DOI: 10.6084/m9.figshare.23522976.v1
title: S1_Table

description: S1_Table
DOI: 10.6084/m9.figshare.23523045
title: S2_Table

description: S2_Table
DOI: 10.6084/m9.figshare.23523045.v1
title: S2_Table

description: S2_Table
DOI: 10.5281/zenodo.6444686
title: Supplement: Extensive diversity and rapid turnover of phage defense repertoires in cheese-associated bacterial communities

description: Background<br> Phages are key drivers of genomic diversity in bacterial populations as they impose strong selective pressure on the evolution of bacterial defense mechanisms across closely related strains. The pan-immunity model suggests that such diversity is maintained because the effective immune system of a bacterial species is the one distributed across all strains present in the community. However, only few studies have analyzed the distribution of bacterial defense systems at the community-level, mostly focusing on CRISPR and comparing samples from complex environments. Here, we studied 2778 bacterial genomes and 188 metagenomes from cheese-associated communities, which are dominated by a few bacterial taxa and occur in relatively stable environments. Results<br> We corroborate previous laboratory findings that in cheese-associated communities nearly identical strains contain diverse and highly variable arsenals of innate and adaptive (i.e., CRISPR-Cas) immunity systems suggesting rapid turnover. CRISPR spacer abundance correlated with the abundance of matching target sequences across the metagenomes providing evidence that the identified defense repertoires are functional and under selection. While these characteristics align with the pan-immunity model, the detected CRISPR spacers only covered a subset of the phages previously identified in cheese, providing evidence that CRISPR does not enable complete immunity against all phages, and that the innate immune mechanisms may have complementary roles. Conclusions<br> Our findings show that the evolution of bacterial defense mechanisms is a highly dynamic process and highlight that experimentally tractable, low complexity communities such as those found in cheese, can help to understand ecological and molecular processes underlying phage-defense system relationships. These findings can have implications for the design of robust synthetic communities used in biotechnology and the food industry.
DOI: 10.5281/zenodo.6444685
title: Supplement: Extensive diversity and rapid turnover of phage defense repertoires in cheese-associated bacterial communities

description: Background<br> Phages are key drivers of genomic diversity in bacterial populations as they impose strong selective pressure on the evolution of bacterial defense mechanisms across closely related strains. The pan-immunity model suggests that such diversity is maintained because the effective immune system of a bacterial species is the one distributed across all strains present in the community. However, only few studies have analyzed the distribution of bacterial defense systems at the community-level, mostly focusing on CRISPR and comparing samples from complex environments. Here, we studied 2778 bacterial genomes and 188 metagenomes from cheese-associated communities, which are dominated by a few bacterial taxa and occur in relatively stable environments. Results<br> We corroborate previous laboratory findings that in cheese-associated communities nearly identical strains contain diverse and highly variable arsenals of innate and adaptive (i.e., CRISPR-Cas) immunity systems suggesting rapid turnover. CRISPR spacer abundance correlated with the abundance of matching target sequences across the metagenomes providing evidence that the identified defense repertoires are functional and under selection. While these characteristics align with the pan-immunity model, the detected CRISPR spacers only covered a subset of the phages previously identified in cheese, providing evidence that CRISPR does not enable complete immunity against all phages, and that the innate immune mechanisms may have complementary roles. Conclusions<br> Our findings show that the evolution of bacterial defense mechanisms is a highly dynamic process and highlight that experimentally tractable, low complexity communities such as those found in cheese, can help to understand ecological and molecular processes underlying phage-defense system relationships. These findings can have implications for the design of robust synthetic communities used in biotechnology and the food industry.
DOI: 10.6073/pasta/6b2cd2ae330c7ea45d46cc553244fa81
title: Annual Maps of Forest Harvest Events in Maine from LANDSAT Imagery 1986-2019

description: We used Landsat satellite imagery and forest inventory plot measurements to develop a time series of annual maps representing potential forest harvest events for the state of Maine in the Northeastern US for the years 1986 to 2019. We first generated a set of LandTrendr temporal segmentation results for three different spectral indices. Change results were filtered to remove events greater than two years in duration, then results were combined using a seven-parameter degenerate decision trees model that determined a set of thresholds on disturbance patch size, magnitude of spectral change, and change “votes” across indices. We found that we were able to detect harvest events that removed at least 30% of total basal area with a mean F1 score of 0.72 (σ = 0.02) with a mean false negative error rate (omission) of 0.32 (σ = 0.02) and mean false positive error rate (commission) of 0.23 (σ = 0.03), and these scores further improve when maps are masked to remove human land use (built and agriculture) and water based on National Land Cover Dataset and JRC Global Surface Water classifications (mean F1 = 0.73, σ = 0.02). Comparisons with an out-of-sample reference dataset and an existing national forest disturbance dataset indicate our forest harvest maps are a locally accurate source of information for characterizing spatial and temporal variability in long-term harvest patterns across the industrial forests of northern Maine. Here, we provide annual ensemble-based maps of potential harvest events; cross-validated results, which give an indication of detection agreement across subsets of our forest inventory reference datasets; and ancillary datasets that can be used to mask false detections in urban and agricultural land uses and water.
DOI: 10.6084/m9.figshare.23523048
title: S3_Table

description: S3_Table
DOI: 10.6084/m9.figshare.23523048.v1
title: S3_Table

description: S3_Table
DOI: 10.6073/pasta/592d395ca3cf5bc2c4c0dfab9b31aab8
title: Effect of Warming on Thermal Adaptation of Soil Microbial Growth Traits at Harvard Forest 2013-2023

description: Adaptation of soil microbes due to warming from climate change has been observed, but it remains unknown what microbial growth traits are adaptive to warming. We studied bacterial isolates from the Harvard Forest Long-Term Ecological Research site, where field soils have been experimentally heated to 5ºC above ambient temperature with unheated controls for thirty years. We hypothesized that Alphaproteobacteria from warmed plots have (1) less temperature sensitive growth rates; (2) higher optimum growth temperatures; and (3) higher maximum growth temperatures compared to isolates from control plots. We made high-throughput measurements of bacterial growth in liquid cultures over time and across temperatures from 22-37ºC in 2-3ºC increments. We estimated growth rates by fitting Gompertz models to the growth data. Temperature sensitivity of growth rate, optimum growth temperature, and maximum growth temperature were estimated by the Ratkowsky 1983 model and a modified Macromolecular Rate Theory (MMRT) model. To determine evidence of adaptation, we ran phylogenetic generalized least squares tests on isolates from warmed and control soils. Our results showed evidence of adaptation of higher optimum growth temperature of bacterial isolates from heated soils. However, we observed no evidence of adaptation of temperature sensitivity of growth and maximum growth temperature. Our project begins to capture the shape of the temperature response curves, but illustrates that the relationship between growth and temperature is complex and cannot be limited to a single point in the biokinetic range.
DOI: 10.17632/ns589w6dxj.1
title: Survey data on student perceptions, studying food technology, towards technical abilities, IT knowledge, programming skills and capabilities for image analysis for applications in biotechnology.

description: Survey collected data on student perceptions towards technical abilities, IT knowledge, programming skills and capabilities for image analysis for applications in biotechnology.
DOI: 10.6084/m9.figshare.23523054
title: S4_Table

description: S4_Table
DOI: 10.17632/p2gvvnh8y4.1
title: Digital Image dataset for Poppy seed adulteration with Semolina 

description: It contains high-quality images of Poppy seed adulteration with Semolina (Suji) at different proportions:- 10%, 20%, 30%, 40%, 50%, and 100% adulterant.
DOI: 10.17632/mjxsb4pyx5.1
title: Cyberbullying, Self-Compassion, and Job Satisfaction of Faculty

description: Data set of higher education faculty data in relation to their cyberbullying, self-compassion, and job satisfaction.
DOI: 10.17632/g2g3dcv2b5.1
title: Developments in 177Lu-based Radiopharmaceutical Therapy and Dosimetry

description: Public available data obtained from PubMed (https://pubmed.ncbi.nlm.nih.gov/) and form clinical trials (https://clinicaltrials.gov/)
This is the data used in order to obtain the figures and conclusions presented in the review paper.
DOI: 10.17632/g2g3dcv2b5.2
title: Developments in 177Lu-based Radiopharmaceutical Therapy and Dosimetry

description: Public available data obtained from PubMed (https://pubmed.ncbi.nlm.nih.gov/) and from clinical trials (https://clinicaltrials.gov/)
This is the data used in order to obtain the figures and conclusions presented in the review paper.

Below you can also find the python codes used to analyze the text files.
DOI: 10.17632/b5prd7t3vz.1
title: Vehofetal_newspapers

description: This .sav file contains the titles and publication dates of the newspaper articles used in the published article Vehof, H., Sanders, J., van Dooren, A., Heerdink, E., & Das, E. (2018). Clinical evidence vs preliminary speculation in newspaper coverage of diabetes innovations: a quantitative analysis. Public Health, 160, 49–51. https://doi.org/10.1016/j.puhe.2018.03.022.
DOI: 10.6084/m9.figshare.23523069
title: S5_Table

description: S5_Table
DOI: 10.6084/m9.figshare.23523069.v1
title: S5_Table

description: S5_Table
DOI: 10.17632/cmdgmsxkmv.1
title: Supplemental Table 1: Mortality Outcomes of HBOT vs Standard of Care as Stratified by Calciphylaxis Subtype*

description: *"Within 1 year" time frames specified below are measured from the date of calciphylaxis diagnosis 
†Includes only confirmed causes due to calciphylaxis, n=11 unknown/unavailable 
Abbreviations: Standard Deviation (SD), Intravenous Sodium Thiosulfate (IV STS), Hyperbaric Oxygen Therapy (HBOT)
DOI: 10.6084/m9.figshare.23523078
title: S6_Table

description: S6_Table
DOI: 10.6084/m9.figshare.23523078.v1
title: S6_Table

description: S6_Table
DOI: 10.6084/m9.figshare.23523087
title: S1_Dataset

description: S1_Dataset
DOI: 10.6084/m9.figshare.23523087.v1
title: S1_Dataset

description: S1_Dataset
DOI: 10.17632/nmtx2h52gs.1
title: Efficient Fluid-Structure Interaction Method for Dynamic Response Analysis of Buildings Subjected to Wind Loads

description: Pressure data and pressure coefficients for the CAARC benchmark structure modeled in CFD and compared with experimental results published in other research.
DOI: 10.17632/f2gtgkmtmg.1
title: Effects of CEO’s Geographic Proximity on Corporate Social Responsibility

description:  In this study, we examine the impact mechanism of the geographic proximity between a CEO’s native place and their company’s headquarters on corporate social responsibility (CSR), from the perspectives of social identity theory and upper echelons theory, as well as the moderators of these relationships. We assume that the geographic proximity will increase CEO willingness to fulfill CSR, and we predict that these relationships will be moderated by external differences in the institutional environment index of a CEO’s native place and the difference in Gross Domestic Product between a CEO’s native place and the location of their company’s headquarters. Using data for publicly listed firms from 2012 to 2020, we test our hypotheses, and the results largely validate our theoretical framework. By introducing CEO geographic proximity and CSR as the main research focus, this study contributes to the literature on the heterogeneity of geographic location and CEOs’ strategic decision-making.
To examine our hypotheses, we utilize Chinese publicly listed companies that have published CSR reports as samples. More specifically, our research samples are data from companies listed on the Shanghai and Shenzhen Stock Exchanges A-share from 2012 - 2020. The sample data mainly include the latitude and longitude of the city where the CEO’s company headquarters and the CEO’s native place, as well as data on CSR. Our data are derived from Hexun.com, the China Stock Market & Accounting Research Database (CSMAR), corporate annual reports, the WIND Database, and the China Economic and Social Big Data research platform (http://data.cnki.net/). We obtain the longitude and latitude of firms’ headquarters from CSMAR and data on CSR report scores from Hexun.com and CSMAR. We also manually collected each CEO’s native place and birth-place. To ensure sample reliability, we exclude data with ST and PT class flags from our sample, because these companies received special treatment due to abnormal financial situations, as well as observations with missing data and financial firms. The final sample comprises 6717 firm-year observations. To control for the potential effect of extreme value, all continuous variables are winsorized at the 1% and 99% levels.
DOI: 10.17632/fw456dctnm.1
title: Tamil Palmleaf Dataset

description: Data for Pulication in Data in Brief -The name of the samples are ’NALADIYAR’ (29), ‘THOLKAPPIYAM’ (227), and ‘THIRIKADUGAM’ (15), Samples contain information on mortal discipline and health, authoritative text on Tamil grammar, and medicine.