cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5947370
title: uprolls2019-5

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947369
title: uprolls2019-5

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947366
title: uprolls2019-27

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947365
title: uprolls2019-27

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947360
title: uprolls2019-38

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947359
title: uprolls2019-38

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947353
title: uprolls2019-22

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947352
title: uprolls2019-22

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947351
title: uprolls2019-85

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947350
title: uprolls2019-85

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947349
title: uprolls2019-2

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947348
title: uprolls2019-2

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947331
title: uprolls2019-82

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947330
title: uprolls2019-82

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947323
title: uprolls2019-18

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947322
title: uprolls2019-18

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947922
title: uprolls2019-78

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.5281/zenodo.5947921
title: uprolls2019-78

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2019 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2019
DOI: 10.6084/m9.figshare.19867069
title: Supplementary Material for: Long-term risk of stroke after traumatic brain injury: A population-based medical record review study

description: ABSTRACT Objective To reliably inform secondary prevention strategies and reduce morbidity and mortality after traumatic brain injury (TBI), we sought to understand the long-term risk of stroke after TBI in patients aged 40 years and older in comparison to age- and sex-matched referents from a population-based cohort. Materials and Methods TBI cases in Olmsted County, Minnesota from January 1, 1985 to December 31, 1999 were confirmed by manual review, classified by injury severity and mechanism, and non-head trauma was quantified. Each TBI case was matched to 2 sex- and age-matched population-based referents without TBI and with similar severity non-head trauma. Records of cases and referents were manually abstracted to confirm stroke diagnosis. Stroke events during initial hospitalization for TBI were excluded. Results In total, 1,410 TBI cases were confirmed, 61% classified as Possible TBI (least severe, consistent with concussive), with the most common mechanism being falls. There were 162 stroke events among those with TBI (11.5%), and 269 among referents (9.5%). Median time to stroke from the index date for those with TBI was 10.2 years (Q1-Q3 5.2 – 17.8), and for referents 12.1 years (Q1-Q3 6.2-17.3), P = 0.215. All-severity TBI was associated with increased risk of stroke (HR: 1.32, 95% CI: 1.06–1.63, P = 0.011), but only Definite TBI (consistent with moderate-severe) was associated with significant risk (HR: 2.20, 95% CI: 1.04-4.64, P = 0.038) when stratified by severity. Discussion/Conclusion By confirming TBI cases, stroke diagnoses, and injury severity classification using manual review with levels of accuracy not previously reported, these results indicate moderate-severe TBI increases long-term risk for stroke. These findings confirm the need to regularly assess long-term vascular risk after TBI to implement disease prevention strategies.
DOI: 10.6084/m9.figshare.19867069.v1
title: Supplementary Material for: Long-term risk of stroke after traumatic brain injury: A population-based medical record review study

description: ABSTRACT Objective To reliably inform secondary prevention strategies and reduce morbidity and mortality after traumatic brain injury (TBI), we sought to understand the long-term risk of stroke after TBI in patients aged 40 years and older in comparison to age- and sex-matched referents from a population-based cohort. Materials and Methods TBI cases in Olmsted County, Minnesota from January 1, 1985 to December 31, 1999 were confirmed by manual review, classified by injury severity and mechanism, and non-head trauma was quantified. Each TBI case was matched to 2 sex- and age-matched population-based referents without TBI and with similar severity non-head trauma. Records of cases and referents were manually abstracted to confirm stroke diagnosis. Stroke events during initial hospitalization for TBI were excluded. Results In total, 1,410 TBI cases were confirmed, 61% classified as Possible TBI (least severe, consistent with concussive), with the most common mechanism being falls. There were 162 stroke events among those with TBI (11.5%), and 269 among referents (9.5%). Median time to stroke from the index date for those with TBI was 10.2 years (Q1-Q3 5.2 – 17.8), and for referents 12.1 years (Q1-Q3 6.2-17.3), P = 0.215. All-severity TBI was associated with increased risk of stroke (HR: 1.32, 95% CI: 1.06–1.63, P = 0.011), but only Definite TBI (consistent with moderate-severe) was associated with significant risk (HR: 2.20, 95% CI: 1.04-4.64, P = 0.038) when stratified by severity. Discussion/Conclusion By confirming TBI cases, stroke diagnoses, and injury severity classification using manual review with levels of accuracy not previously reported, these results indicate moderate-severe TBI increases long-term risk for stroke. These findings confirm the need to regularly assess long-term vascular risk after TBI to implement disease prevention strategies.
DOI: 10.6084/m9.figshare.19867021
title: levine-CyTOF-AML-Healthy-AML-fcs

description: Subset of Data from Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis (10.1016/j.cell.2015.05.047).
DOI: 10.5519/qd.19ngvw4m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1904 records)
DOI: 10.6084/m9.figshare.19867114
title: levine-CyTOF-annotated-celltypes-fcs

description: Subset of Data from Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis (10.1016/j.cell.2015.05.047).
DOI: 10.6084/m9.figshare.19867207
title: levine-CyTOF-annotated-celltypes-annData

description: Subset of Data from Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis (10.1016/j.cell.2015.05.047).
DOI: 10.6084/m9.figshare.19524442
title: Supplementary Material for: Soluble urokinase receptor levels are not affected by the systemic inflammatory response to anesthesia and operative trauma

description: Introduction: Soluble urokinase plasminogen activator receptor (suPAR) is an emerging biomarker of the level of chronic systemic inflammation and the general condition of the patient. We aimed to investigate the impact of general anesthesia and major surgery on suPAR and C-reactive protein (CRP) levels in patients undergoing elective major non-cardiac surgery. Methods: The study included patients undergoing elective major non-cardiac surgery with an expected duration of ≥2 hours under general anesthesia. Inclusion criteria were: age ≥18 years and American Society of Anesthesiologists’ physical status I to IV. Blood was drawn 30 minutes prior to anesthesia and surgery (preoperatively), as well as 30 minutes after emergence from anesthesia (postoperatively). Plasma suPAR levels were determined using the suPARnostic® quick triage lateral flow assay. CRP measurements were performed by particle-enhanced immunoturbidimetric assay. Results: Preoperative and postoperative suPAR levels were similar and not statistically significant [7.7 (5.28-10.4) ng/mL vs. 7.15 (5.68-9.8) ng/mL, p=0.462]. CRP levels increased significantly during surgery [from 0.81 (0.24-2.1) mg/dL to 5.76 (2.2-8.75) mg/dL, p&lt;0.001]. However, no correlation was found between CRP and suPAR levels, both preoperatively (rho=0.127; p=0.208) and postoperatively (rho=0.017; p=0.87). A statistically significant increase was also observed in white blood cell count postoperatively (7.576 vs. 10.711, p&lt;0.001). Conclusion: General anesthesia and operative trauma did not influence the perioperative suPAR levels despite the activation of systemic inflammatory reaction.
DOI: 10.6084/m9.figshare.19524442.v1
title: Supplementary Material for: Soluble urokinase receptor levels are not affected by the systemic inflammatory response to anesthesia and operative trauma

description: Introduction: Soluble urokinase plasminogen activator receptor (suPAR) is an emerging biomarker of the level of chronic systemic inflammation and the general condition of the patient. We aimed to investigate the impact of general anesthesia and major surgery on suPAR and C-reactive protein (CRP) levels in patients undergoing elective major non-cardiac surgery. Methods: The study included patients undergoing elective major non-cardiac surgery with an expected duration of ≥2 hours under general anesthesia. Inclusion criteria were: age ≥18 years and American Society of Anesthesiologists’ physical status I to IV. Blood was drawn 30 minutes prior to anesthesia and surgery (preoperatively), as well as 30 minutes after emergence from anesthesia (postoperatively). Plasma suPAR levels were determined using the suPARnostic® quick triage lateral flow assay. CRP measurements were performed by particle-enhanced immunoturbidimetric assay. Results: Preoperative and postoperative suPAR levels were similar and not statistically significant [7.7 (5.28-10.4) ng/mL vs. 7.15 (5.68-9.8) ng/mL, p=0.462]. CRP levels increased significantly during surgery [from 0.81 (0.24-2.1) mg/dL to 5.76 (2.2-8.75) mg/dL, p&lt;0.001]. However, no correlation was found between CRP and suPAR levels, both preoperatively (rho=0.127; p=0.208) and postoperatively (rho=0.017; p=0.87). A statistically significant increase was also observed in white blood cell count postoperatively (7.576 vs. 10.711, p&lt;0.001). Conclusion: General anesthesia and operative trauma did not influence the perioperative suPAR levels despite the activation of systemic inflammatory reaction.
DOI: 10.34934/dvn/8mtgmb
title: Historical Regional GDP and Population in Belgium, Spain and the United Kingdom

description: This dataset comprises historical GDP and population data for regional entities in Belgium, Spain and the United Kingdom. Entities included: -For Belgium: Brussels, Flanders, Wallonia. -For Spain: Andalusia, Aragon, Asturias, Balearic Islands, Basque Country, Canary Islands, Cantabria, Castile-la Mancha, Castile-Leon, Catalonia, Extremadura, Galicia, La Rioja, Madrid, Murcia, Navarre, Valencia. -For the United Kingdom: England, London, Northern Ireland [since 1801], (Southern) Ireland [1801-1921], Scotland, Wales. Periods covered for GDP data: -For Belgium: 1846-2005. -For Spain: 1860-2015. -For the United Kingdom: 1707-2017. Periods covered for population data: -For Belgium: 1841-2017. -For Spain: 1860-2015. -For the United Kingdom: 1801-2017. Sources, acknowledgement and citation: The data have been compiled and/or calculated by the author based on different sources listed in the 'About'-section of the data sheet. When using the data, please cite the appropriate sources related to the part of the data you use, as well as the present dataset as referenced above. Latest version: 1.0 [24.05.2022].
DOI: 10.6084/m9.figshare.16913044
title: Data - Näslund et al. experiment - Bypass cobble substrate for Atlantic salmon smolts (Älvkarleby)

description: Data from the experiment on Atlantic salmon (<i>Salmo salar</i>) smolt downstream passage through a surface bypass, run in experimental flumes at the Laxeleratorn facility in Älvkarleby (facility run by the energy production company Vattenfall).<br>Details are found in the published article: <br>Näslund et al. (in review)Downstream bypass efficiency of Atlantic salmon <i>Salmo salar</i> smolts in relation to bypass cobble substrate and flow velocity<br>
DOI: 10.5519/qd.bw4vo6el
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4735 records)
DOI: 10.5281/zenodo.6578553
title: Raw Data - Part 1 : Spatial multi-omic map of human myocardial infarction

description: We provide here the raw data of snATAC-seq for the manuscript: Kuppe, Ramirez Flores, Li et al. "Spatial multi-omic map of human myocardial infarction", 2022
DOI: 10.5281/zenodo.6578552
title: Raw Data - Part 1 : Spatial multi-omic map of human myocardial infarction

description: We provide here the raw data of snATAC-seq for the manuscript: Kuppe, Ramirez Flores, Li et al. "Spatial multi-omic map of human myocardial infarction", 2022
DOI: 10.5281/zenodo.5878137
title: Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control"

description: This archive contains the data used for the paper <strong>Extending OpenStack Monasca for Predictive Elasticity Control</strong><br> Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-{lin,aim,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;.csv Run traces distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;.log distwalk run log distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-pred.json Predictive metric data exported from Monasca DB distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-real.json Actual metric data exported from Monasca DB distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-times.csv Client-side response time for each request sent during a run model_dumps/* Dumps of the models and data scalers used for the validation predictor.log monasca-predictor log predictor-times.log monasca-predictor` log (timing info only) predictor-times-{lin,mlp,rnn}.{csv,log} monasca-predictor log (timing info only, group by predictor) super_steep_behavior.csv Dataset used to train MLP and RNN models test_behavior_02_distwalk-6t_last100.dat distwalk load trace ubuntu-20.04-min-distwalk.img Image used to create Nova instances for the scaling group This work extends our previous one appeared at the <em>IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC'21)</em>. * <em>contact author</em>
DOI: 10.5519/qd.lbgxw6da
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (424 records)
DOI: 10.5281/zenodo.6579788
title: Social Networks that Matter: explaining the civic engagement of university students

description: Young people's social participation has numerous benefits and universities can play an important role in promoting it. The aim of this study is to broaden our understanding of the impact of social relationships on the development of social participation among university students. We also aimed to determine to what extent previous social participation experiences may modulate said impact. A total of 827 undergraduate students completed a questionnaire assessing their previous experience with social participation, the likelihood of their engaging in social participation in the future and the composition of their social networks, distinguishing between contacts on the basis of the type of relationship (relatives, friends or acquaintance) and its context (on or off campus).
DOI: 10.5281/zenodo.6579787
title: Social Networks that Matter: explaining the civic engagement of university students

description: Young people's social participation has numerous benefits and universities can play an important role in promoting it. The aim of this study is to broaden our understanding of the impact of social relationships on the development of social participation among university students. We also aimed to determine to what extent previous social participation experiences may modulate said impact. A total of 827 undergraduate students completed a questionnaire assessing their previous experience with social participation, the likelihood of their engaging in social participation in the future and the composition of their social networks, distinguishing between contacts on the basis of the type of relationship (relatives, friends or acquaintance) and its context (on or off campus).
DOI: 10.6084/m9.figshare.19864786
title: Ayahuasca and Public Health II. Supporting information 2: Database

description: Online supporting information: Database from the questionnaire Evaluation of the Health Status of Ayahuasca Ceremony Participants in the Netherlands used in the study.
DOI: 10.6084/m9.figshare.19864786.v5
title: Ayahuasca and Public Health II. Supporting information 2: Database

description: Online supporting information: Database from the questionnaire Evaluation of the Health Status of Ayahuasca Ceremony Participants in the Netherlands used in the study.
DOI: 10.6084/m9.figshare.19864786.v4
title: Ayahuasca and Public Health II. Supporting information 2: Database

description: Online supporting information: Database from the questionnaire Evaluation of the Health Status of Ayahuasca Ceremony Participants in the Netherlands used in the study.
DOI: 10.6084/m9.figshare.19596643
title: Supplementary Material for: Development and external validation of the Munich Sorafenib Evaluation Score for hepatocellular carcinoma

description: Introduction: In recent years increasing options for systemic HCC treatment have become available. The development of therapy-specific prognostic scores has been encouraged. Tailoring therapy to individual patients requires prognostic scores for treatment success in addition to the Barcelona-Clinic-Liver-Cancer (BCLC) classification. We have developed and validated a prognostic score for patients treated with sorafenib. Methods: Prognostic factors identified in a multivariate analysis of 108 sorafenib patients were used to construct the Munich-Sorafenib-Evaluation score (M-SE). M-SE and 9 established HCC prognostic systems were ranked according to concordance-index and AIC. External M-SE-validation was performed in an independent HCC sorafenib cohort (n=101) derived from the prospective multicentre randomized controlled SORAMIC trial. Results: Ascites (p&lt;0.0001; HR 2.923), tumor burden ≥50% of the liver (p=0.0033; HR 1.946) and GOT (p&lt;0.0001; HR 1.716) were identified as independent prognostic parameters. All three M-SE stages were characterized by significantly different survival times (p&lt;0.0001). M-SE stage A patients had a median OS of 18.7 months (95% CI 15.6-21.8), patients in stage B and C showed a significantly shorter survival of 5.7 (2.7-8.7) and 2.0 months (1.6-2.4), respectively. M-SE (c-index 0.70; AIC 621) outperformed all other prognostic systems. External validation in a prospective cohort confirmed its superior prognostic performance. Conclusion: The M-SE score allows classification of sorafenib-patients in three distinct prognostic stages. Provided that M-SE successfully passes prospective validation, it can help to predict the outcome of patients evaluated for sorafenib treatment.
DOI: 10.12763/clwl3a/asq9qi
title: winstance_30_09_10-1.txt

description: :unav
DOI: 10.12763/clwl3a/zvbzwo
title: deg_40_02_15-1.txt

description: :unav
DOI: 10.12763/clwl3a/kdye8p
title: deg_50_01_05-1.txt

description: :unav
DOI: 10.12763/clwl3a/hsc498
title: deg_50_01_10-1.txt

description: :unav
DOI: 10.12763/clwl3a/7vpqkv
title: winstance_30_00_20-1.txt

description: :unav
DOI: 10.12763/clwl3a/o6vhfc
title: deg_50_08_15-1.txt

description: :unav
DOI: 10.12763/clwl3a/qilmqs
title: deg_20_03_20-1.txt

description: :unav