cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zp5s7km87k.4
title: Data for: Growth Over the Long Run: Historical National Accounts in International Comparison

description: GDP, population, and estimates of employment levels in a set of 56 economies from 1820 to 2018.
DOI: 10.17632/zp5s7km87k.5
title: Data for: Growth Over the Long Run: Historical National Accounts in International Comparison

description: GDP, population, and estimates of employment levels in a set of 56 economies from 1820 to 2018.
DOI: 10.5281/zenodo.3598283
title: Norway sea and wildlife survey

description: Norway sea and wildlife survey
DOI: 10.5281/zenodo.3598420
title: CITREC Dataset

description: <em>Dataset of the paper:</em> B. Gipp, N. Meuschke, and M. Lipinski,<br> <strong>“CITREC: An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central,” </strong>in <em>Proceedings of the iConference 2015</em>, Newport Beach, California, 2015, DOI: 10.5281/zenodo.3547372. (PDF). <strong>Please refer to the paper for citing the dataset.</strong> <em>Supplemental Source Code:</em> <em>Analysis Code</em> <em>Application: Literature Recommendation Evaluator</em>
DOI: 10.5281/zenodo.3598421
title: CITREC Dataset

description: <em>Dataset of the paper:</em> B. Gipp, N. Meuschke, and M. Lipinski,<br> <strong>“CITREC: An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central,” </strong>in <em>Proceedings of the iConference 2015</em>, Newport Beach, California, 2015, DOI: 10.5281/zenodo.3547372. (PDF). <strong>Please refer to the paper for citing the dataset.</strong> <em>Supplemental Source Code:</em> <em>Analysis Code</em> <em>Application: Literature Recommendation Evaluator</em>
DOI: 10.17632/m92kjz7tm8.3
title: Data to Model the Effect of Telecommunication Perceived Service Quality and Perceived Value on the Degree of User Satisfaction and e-WOM: Context of North Cyprus Telecommunications Users

description: The purpose of this dataset is to investigate a comprehensive model of user satisfaction and electronic word-of-mouth (e-WOM). The data was collected through a self-administered questionnaire at Girne American University in the Turkish Republic of North Cyprus (TRNC). The dataset was empirically evaluated using a survey of 500 respondents about their perceptions of the service provided by the mobile telecom operator.
DOI: 10.5281/zenodo.3598284
title: Norway sea and wildlife survey

description: Norway sea and wildlife survey
DOI: 10.7910/dvn/nrncx0/leonu8
title: The Adapted 24 hour Dietary Recall Method Guide.pdf

description: :unav
DOI: 10.7910/dvn/nrncx0/v8vtlo
title: food pyramid to show during questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/nrncx0/7q7d3t
title: RD4DD_Nutrition_KAP_Survey_EN_draft_7May.pdf

description: :unav
DOI: 10.7910/dvn/nrncx0/cyzpc5
title: Data_24 hour_dietary_2017_updated_20191111.tab

description: :unav
DOI: 10.7910/dvn/nrncx0/rmnrty
title: RD4DD_Nutrition Survey_Instruction_draft_may7.pdf

description: :unav
DOI: 10.7910/dvn/nrncx0/ryx8lg
title: 24hr recall_field form_code_guidelines_VN_EN_draft.pdf

description: :unav
DOI: 10.7910/dvn/nrncx0/sjjzoo
title: 24hr recall_field form_EN_VN_draft.xlsx

description: :unav
DOI: 10.17632/ttjr6g88rx.1
title: 24-hour hemodynamic and stiffness parameter data in smoking and non-smoking volunteers

description: The brachial diastolic (DBPbr) and systolic blood pressure (SBPbr), heart rate (PULSE), aortic systolic blood pressure (SBPao), aortic augmentation index (AIXao), brachial augmentation index (AIXbr) and pulse wave velocity (PWV) were recorded and mean arterial pressure (MAP) and pulse pressure (PP) were calculated in every 20 minutes during waking and in every 40 minutes during sleeping hours with an oscillometric device. Volunteers abstained from smoking during the first 24 hours and were allowed to smoke during the second 24 hours (at least 10 cigarettes). Afterwards, data was obtained with the same method from 10 healthy, non-smoker, age-matched and BMI-matched volunteers. All participants abstained from alcohol-containing beverages and physical exertion outside normal daily activities during the examined period. Day and night periods were adjusted individually. Invalid data were eliminated resulting in an average of 46 remaining values per day per parameter. In the dataset nighttime hours were highlighted with grey and a thick black line represented the end of the first (non-smoking) day among light smokers.
DOI: 10.7910/dvn/4vg2xs/9nhbox
title: Data_burnout.txt

description: Data used for statistical analyses
DOI: 10.17199/c0491d04-71e5-45f1-8fdd-c1c28e2b672b
title: scitest test doi

description: dffaerf
DOI: 10.17632/k38p8gzm4n.1
title: Debt Dynamics in India

description: Interest rates, growth, debt/GDP and inflation for India and 10 biggest states by population.
DOI: 10.7910/dvn/w1dggl/b44a0q
title: RD4DD_HouseholdSurvey_Instruction_ANNEX III Food Groups_UK.pdf

description: :unav
DOI: 10.7910/dvn/w1dggl/bzouai
title: RD4DD_HouseholdSurvey_Instruction_ANNEX I Retail Typology_UK.pdf

description: :unav
DOI: 10.7910/dvn/w1dggl/lue68o
title: RD4DD_HouseholdSurvey_Instruction_ANNEX II Food Safety Claims_UK.pdf

description: :unav
DOI: 10.7910/dvn/w1dggl/rowpl4
title: RD4DD_HouseholdSurvey_Questionnaire_Data Dictionary_UK.pdf

description: :unav
DOI: 10.17632/4gwyj3cnyb.1
title: 6S RNA mimics B-form DNA to regulate Escherichia coli RNA polymerase (MOLECULAR-CELL-D-17-01031). Chen, et al.

description: Files contain raw unprocessed data used in Chen et al. "6S RNA mimics B-form DNA to regulate Escherichia coli RNA polymerase". Please see paper for figure labels and legends as well as details on how experiments were performed. Figure S1 -‘5labeled_footprinting’ and ‘3labeled_footprinting’ gel images are labeled in Figure S1B -Lanes 1 and 2 of ‘transcription_assay_6S_deltaCS’ correspond to Figure S1C (left panel) -Lanes 5 and 6 of ‘transcription_assay_6S_RNA_mutant’ correspond to Figure S1C (right panel) Figure S5 -‘XL_test_copy’ is labeled in Figure S5A -Boxed part of ‘gel3_XLhot_copy’ is represented and labeled in Figure S5B -Boxed part of ‘PE_mapping_copy’ is represented and labeled in Figure S5C Figure S6 -Boxed part of ‘stem_mutants_copy’ is represented and labeled in Figure S6A -Boxed part of ‘G82_mutants_binding copy’ is represented and labeled in Figure S6B -Boxed part of ‘binding_131_135_136_others_copy’ is represented and labeled in Figure S6C -Lanes 1-12 of ‘Wt_FYWW_T7A1DS_T7A1bubble’ correspond to Figure S6E (top panel) -Lanes 13-24 of ‘Wt_FYWW_T7A1DS_T7A1bubble’ correspond to Figure S6E (middle panel) -‘Wt_FYWW_6S_deltaCS’ is represented in Figure S6E (bottom panel) Figure 7 Gels used to generate Figure 7C are oriented to have the following loading ordering (left to right): 1) T7A1 – Wt SigS 2) T7A1 – SigS E308K/E315H 3) T7A1 – Wt Sig70 4) T7A1 – Sig70 K593E/H600E 5) DPS100 – Wt SigS 6) DPS100 – SigS E308K/E315H 7) DPS100 – Wt Sig70 8) DPS100 – Sig70 K593E/H600E 9) 6S RNA – Wt SigS 10) 6S RNA – SigS E308K/E315H 11) 6S RNA – Wt Sig70 12) 6S RNA – Sig70 K593E/H600E *File names also denote the trial number. Figure S7 Gels used to generate Figure S7B are oriented to have the following loading ordering (left to right): 1) Wt SigS 2) SigS L116F 3) SigS E217K 4) SigS G228D 5) SigS E308K 6) SigS E315H 7) Wt Sig70 8) Sig70 F401L 9) Sig70 K502E 10) Sig70 D513G 11) Sig70 K593E 12) Sig70 H600E *File names also denote transcription template used and trial number.
DOI: 10.7910/dvn/w1dggl/mlvb3a
title: RD4DD HouseholdSurvey_Database_Anonymous_2017.tab

description: :unav
DOI: 10.7910/dvn/w1dggl/yfiksw
title: RD4DD_HouseholdSurvey_Instruction_UK.pdf

description: :unav
DOI: 10.5281/zenodo.3516239
title: Research data supporting "Void-free 3D bioprinting for in-situ endothelialization and microfluidic perfusion"

description: Raw research data supporting the publication: Ouyang, Li. et al., 2019, Advanced Functional Materials. DOI: 10.1002/adfm.201908349
DOI: 10.5281/zenodo.3516240
title: Research data supporting "Void-free 3D bioprinting for in-situ endothelialization and microfluidic perfusion"

description: Raw research data supporting the publication: Ouyang, Li. et al., 2019, Advanced Functional Materials. DOI: 10.1002/adfm.201908349
DOI: 10.17632/3x3zd3zvhm.2
title: C-reactive protein in patients with HPVp16-negative oropharyngeal squamous cell carcinoma. A single center retrospective study.
DOI: 10.17632/kzywcjt93m.1
title: Symptomatic upper urinary tract obstruction in a resource-poor region

description: This data is generated from retrospective review of medical records of patients who presented with symptomatic upper urinary tract obstruction at the University of Nigeria Teaching Hospital Enugu and Hansa Clinics and Diagnostic Centre Enugu, southeast Nigeria. Medical records from January 2011 to November 2017 were included in this dataset.
DOI: 10.17632/hpspb6dmvp.1
title: Data for: 3514038

description: Prediction of future movement of stock prices has been a subject matter of many research work. There is a gamut of literature of technical analysis of stock prices where the objective is to identify patterns in stock price movements and derive profit from it. Improving the prediction accuracy remains the single most challenge in this area of research. We propose a hybrid approach for stock price movement prediction using machine learning, deep learning, and natural language processing. We select the NIFTY 50 index values of the National Stock Exchange (NSE) of India, and collect its daily price movement over a period of three years (2015 – 2017). Based on the data of 2015 – 2017, we build various predictive models using machine learning, and then use those models to predict the closing value of NIFTY 50 for the period January 2018 till June 2019 with a prediction horizon of one week. For predicting the price movement patterns, we use a number of classification techniques, while for predicting the actual closing price of the stock, various regression models have been used. We also build a Long and Short-Term Memory (LSTM)-based deep learning network for predicting the closing price of the stocks and compare the prediction accuracies of the machine learning models with the LSTM model. We further augment the predictive model by integrating a sentiment analysis module on Twitter data to correlate the public sentiment of stock prices with the market sentiment. This has been done using Twitter sentiment and previous week closing values to predict stock price movement for the next week. We tested our proposed scheme using a cross validation method based on Self Organizing Fuzzy Neural Networks (SOFNN) and found extremely interesting results.
DOI: 10.17632/kh5pzmdbhs.1
title: Illicit Drugs, Cannabis, and Psoriasis in the United States: National Health and Nutrition Examination Survey (JAAD Supplemental Material)

description: Illicit Drugs, Cannabis, and Psoriasis in the United States: National Health and Nutrition Examination Survey (JAAD Supplemental Material)
DOI: 10.17632/tgmg4mssv7.1
title: A rapid forward model for magnetic ranging of the relief well to a blowout well

description: 3. Models comparison and validation: Fig. 5 4.1 Effect of layered formation resistivity on signal intensity: Figs. 6-9 4.2 Effect of emission electrode size and location on signal intensity: Figs. 10-14 4.3 Effect of blowout well casing length and diameter on signal intensity: Figs. 15-16 4.4 Effect of relief well casing length and location on signal intensity: Figs. 17-18 4.5 Effect of deviation angle of relief well on signal intensity: Figs. 19-20
DOI: 10.17632/vt9wfd7mk5.1
title: multi-chiller system scheduling with storage unit

description: The data is result of robust scheduling a multi-chiller system with a chilled-water storage unit.
DOI: 10.5519/qd.zktl5ues
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (206747 records)
DOI: 10.5281/zenodo.3598450
title: Ministry of Environment of Québec (2011-2014) web archive collection derivatives

description: Web archive derivatives of the Ministry of Environment of Québec (2011-2014) collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup banq! These derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <pre><code class="language-java">.webpages()</code></pre> Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Videos Word processor files
DOI: 10.17632/kmjtnz3nx8.1
title: Peritoneal function, pathology and molecular data of peritoneal fibrosis in rats induced by chlorhexidine gluconate

description: Male Sprague-Dawley (SD) rats were divided into normal group (Control), peritoneum fibrosis group (PF) and 1,25-(OH)2D3 therapy group (VitD3). The model of PF rats were induced by daily intraperitoneally injection of chlorhexidine gluconate (CG) for 4 wk. Rats in VitD3 group were also treated with calcitriol (i.p. 6ng/100g*d). The peritoneal transport function and morphological changes were observed using microscopy following hematoxylin-eosin (HE) and Masson staining. The experimental data was analyzed by using SPSS statistical software (SPSS Inc.). All values are presented as means±SD. Multiple group comparison was performed by one-way ANOVA followed by the Turkey’s HSD for comparison of means. Pearson correlation analysis were performed to explore the relationship of CTGF/HSP47 axis with peritoneal fibrosis. Values of P&lt;0.05 were considered to be statistically signiﬁcant.
DOI: 10.17632/yjsp52k9sc.2
title: Electrocardiographic parameters of repolarization and heart rate variability in prostate cancer patients with drug induced hypogonadism

description: We aimed to assess the electrocardiographic changes related to arrhythmic risk in advanced prostate cancer patients with drug induced hypogonadism. The dataset contains raw clinical and ECG data from 35 patients treated with degarelix plus enzalutamide (treatment group A, 26 patients) or without enzalutamide (treatment group B, 9 patients) observed at the beginning (M0) and after 6 months of therapy (M1). A subset of 25 patients of the same group performed also Holter ECG study with assessment of heart rate variability and occurrence of ventricular premature beats. Corrected QT interval (QTc), QT dispersion (QTd), J-Tpeak interval (JPp), Tpeak-Tend interval (Tpe), Tpe/QT ratio (Tpe/QT), Tpeak-Tend dispersion (Tped) and the index of cardio-electrophysiological balance (iCEB) were measured on ECG tracings. Heart rate correction was made using Fridericia formula. Heart rate variability was assessed in both time and frequency domains.
DOI: 10.5519/qd.7h9cp5ue
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4009 records)
DOI: 10.17632/pjn7ccp37k.1
title: bilateral breast cancer excel

description: All 31 patients were recorded and arranged in excel format.
DOI: 10.17632/yh2yxwbc9m.5
title: Automatic Gauze Tracking in Laparoscopic Surgery using Image Texture Analysis

description: This dataset contain the code, images and video results of the analysed algorithms: LBP|VAR, CLBP and the convolutional neural network ResNet50.
DOI: 10.5281/zenodo.3598472
title: Thermal properties of lipid bilayers determined using upconversion nanothermometry

description: Dataset accompanying figures published in the publication DOI: 10.5281/zenodo.3597416
description: This project has received funding from the European Union's Horizon 2020 FET Open programme under grant agreement No 801305 (NanoTBTech).
DOI: 10.5281/zenodo.3598473
title: Thermal properties of lipid bilayers determined using upconversion nanothermometry

description: Dataset accompanying figures published in the publication DOI: 10.5281/zenodo.3597416
description: This project has received funding from the European Union's Horizon 2020 FET Open programme under grant agreement No 801305 (NanoTBTech).
DOI: 10.17632/58cychs2dd.1
title: Datasets for deciphering market segmentation by the tourists’ origin and preference using location-based social network data

description: The all_16POI_user_info.xlsx include the following information: user id, location name, location id on the Instagram, detected user origin The ins2_1.csv include the Instagram check-ins in 200 Hong Kong attractions. 200_location_id_category.csv corresponds to Table 1. The data was sourced from Hong Kong Tourism Board and manipulated by the authors.
DOI: 10.18112/openneuro.ds002380.v1.0.0
title: SerumGreyMatterCorticalThickness
DOI: 10.17632/vt9wfd7mk5.2
title: multi-chiller system scheduling with storage unit

description: The data is result of robust scheduling a multi-chiller system with a chilled-water storage unit.
DOI: 10.5519/qd.svfui1dp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (883 records)
DOI: 10.17632/hfdtytnkjk.1
title: Y.T.,SUCLA2-coupled regulation of GLS succinylation and activity counteracts oxidative stress of tumor cells

description: Glutaminase regulates glutaminolysis for cancer cell proliferation. However, the mechanism underlying glutaminase activity regulation is largely unknown. Here we demonstrated that the kidney-type glutaminase (GLS) is highly expressed in human pancreatic ductal adenocarcinoma (PDAC) specimens with correspondingly upregulated glutamine dependence for PDAC cell proliferation. In addition to regulation at its expression level, GLS K311 is succinylated by succinyl-CoA in a succinyl-CoA concentration-dependent manner, leading to enhanced GLS oligomerization and activity. Upon oxidative stress, succinyl-CoA synthetase ADP-forming  subunit (SUCLA2) phosphorylated by p38 MAP kinase at S79 dissociates from GLS, resulting in enhanced GLS K311 succinylation. Activated GLS increases glutaminolysis and production of NADPH and glutathione, thereby counteracting oxidative stress-increased reactive oxygen species and apoptosis and promoting tumor cell proliferation and tumor growth in mice. In addition, the levels of SUCLA2 pS79 and GLS K311 succinylation, which were mutaully correlated, were markedly higher in the PDAC specimens than those in the adjacent normal tissue samples and positively correlated with the advanced stages of PDAC and inversely correlated with overall survival durations of the patients. Our findings uncover a critical regulation of GLS activity by SUCLA2-coupled GLS succinylation regulation and underscore the regulatory role of metabolites in glutaminolysis and PDAC development.
DOI: 10.17632/75p8tw7md3.1
title: Data for Heat Pipe Performance Evaluation for Different Fluids

description: Testing of cylindrical heat pipe with a number of experiments. Characteristics and performance of heat pipe were evaluated individually with water, methanol, and acetone at different inclination angles (θ).
DOI: 10.17632/pst2tzmpc4.3
title: Data for 'Combinatorial Developmental Controls on Striatonigral Circuits'

description: Raw data presented in the paper "Combinatorial Developmental Controls on Striatonigral Circuits" Sharpened tamoxifen-induced birthdating of striatal projection neurons (SPNs) revealed sub-compartmental organization of settlement, i.e., ‘center-surround’ rule. The uploaded data for Figure 2-3 shows the list of distance of individual cells measured from the center and the border of MOR1-positive striosomes. In the Figure 7 of the original paper, striatonigral axons innervating the central striosome-dendron bouquet were demonstrated to be from E12/E13-born SPNs, but not from E11- or E14-born SPNs.
DOI: 10.17632/ts8bzptsv4.1
title: Spatio-Temporal Data for Modeling the Settlement Organisation and Cultural Change of the Otomani-Füzesabony Cultural Complex in Slovakia

description: The Otomani-Füzesabony Cultural Complex (OFCC) spanned a vast territory of the Eastern Carpathian Basin. Several previous studies indicated its complicated and unclear chronological relationships with certain pottery styles. The regional variation of the OFCC is based on differences in material culture, burial customs and complex landscape organisation of settlements. Therefore in this study, we used spatio-temporal modelling techniques to analyse the OFCC settlement structure and rate of cultural change with an emphasis on several macroregions in Eastern Slovakia. A quantitative statistical approach (spatio-temporal modelling, Kruskal-Wallis test, principal component analysis) was used to combine a broad range of archaeological and palaeoecological evidence in the space-time continuum. In order to capture regional variability, within the relative chronological dating, Reinecke’s periodisation scheme was used instead of individual internal chronological systems of the OFCC. Information about sites (location, dating and type) was gathered from the literature, excavation and survey reports, as well as using existing databases (Tóth 2014; Oravkinová 2018). The database was managed in LibreOffice Calc, with the component as the central registration unit. Absolute chronology of individual Reinecke’s stages (used for spatio-temporal modelling) was adapted based on existing literature. Spatio-temporal modelling was performed on all sites using LibreOffice Calc, showing a gradual transformation of relative-chronological data into a timescale (Crema 2012; Kolář et al. 2015). Taking into account the duration of the OFCC pottery style, the data was modelled within 200 years’ timescale. Environmental analyses (altitude, soil types, cost distance to water and sources of copper, tin and gold) were analysed using QGIS software; values were extracted using ‘Point Sampling Tool’. Secondary information layers (cost distance to water and metal sources) were derived from the digital elevation model with the resolution 30x30 m (Tóth 2014: 106–108). The fertility of soils has been based on the most recent research (Lieskovský et al. 2015: table 4.2). We analysed the components with a clearly defined sitting within the surrounding landscape. During statistical tests, regional characteristics were taken into account. The results illustrate clearly the dynamic relationship between OFCC sites and the surrounding landscape across centuries. Isolated micro-regional communities had functioned independently, however concurrently they were collectivised within an extensive supra-regional and trans-tribal networks of connections sprawling far beyond the scope of any individual community. Gathered evidence suggests that access to water passes and proximity of metal ores were the key elements in structuring the OFCC settlement hierarchies and landscape transformations in the Bronze Age Slovakia.
DOI: 10.17632/m8x55sv59p.1
title: Coping with Stress Styles and Emotional Intelligence and among Foster and Biological Parents

description: The data demonstrated positive correlation between Emotional Intelligence and Coping with stress. Foster parents heightened biological parents in EI and also in Task-oriented coping. Women are better in EI than men.
DOI: 10.17632/kfrpff88hx.1
title: MxA staining in various skin diseases

description: This database contains the results of MxA staining of various skin diseases. The components of the skin have all been scored semi-quantitatevely, ranging from 0 (negative) to 3 (strongly positive)