cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p4tbn5g9yc.1
title: Bathing facilities & health phronesis

description: Bathing facilities and health phronesis: tackling English obesity. Mixed methods sequential research in five phases. Research questions and hypotheses • RQ1: Does the geospatial distribution of swimming facilities impact health? (Nomothetic). (H10: Pools is insignificant vs. H1A: Pools is significant) • RQ2: Is the construction of swimming pools adequate for national health need? (Nomothetic). (H20: Forecast pool construction stable vs. H2A: Forecast pool construction increases) • RQ3: What policy learning emerges from idiosyncratic cases? (Idiographic & qualitative) Approach After problematisation (1) and structured literature review (2), the study conducted cross-sectional analysis of excess mortality and swimming pools (3a & 3b) and longitudinal analysis of pool construction (3c-e). Cross-sectional investigation involved factor analysis (3a) to explore and regression to analysis (3b) to investigate English mortality and its covariates (3b). The For the time series analysis, the study analysed 120 years of English pool construction data using autoregressive distributed lag models - ARIMA (3c), ADL (3d) and ECM (3e). Data Cross sectional analysis Deaths (DV, Yd): ONS standardised mortality ratio (2013-2017). Observed total deaths from all causes (by five year age and gender band) as a percentage of expected deaths. Access Leisure (IV, X1): reflects accessibility to 727 leisure centres, swimming baths or 2,738 health clubs in kilometres. Liverpool University’s Consumer Data Research Centre, Access to Healthy Assets and Hazards (AHAH) index. Obesity (IV, X2): percentage of adult population with a body mass index (BMI) of 30 kg/m2 or higher, age-standardized, WHO 2389 NCD_BMI_30 (2020). Deprivation (IV, X3): deprivation score for English small areas, sourced from Index of Multiple Deprivation (2019). Environment (IV, X4) measures accessible blue and green space, sourced via SE (2020), data constitutes an element of AHAH (2017). Pools (IV, X5): reflects pools per 10,000 in 2018. Data extracted from SE Active Places Power (APP) Time series analysis Pools constructed (PC & ∆PC): English swimming pools constructed each year during a 120 year period since 1900, SE Active Places Power (2020) database. English output (GDP & ∆GDP): Bank of England millennium of macroeconomic data UK (2017) provides historical macroeconomic and financial statistics. English population (Pop & ∆Pop): English population and population growth 1900-2020, Office for National Statistics (ONS): Total population (2018).
DOI: 10.17632/2v878tg59h.1
title: An Analysis of YouTube Videos As a Source of Information on the COVID-19 Intubation

description: list of YouTube Videos on COVID-19 Intubation
DOI: 10.17632/csvv7xgbr9.2
title: Supplementary Table - The oral cavity cannot be forgotten in the COVID-19 era: is there a connection between dermatological and oral manifestations?

description: A systematic review was performed on MEDLINE/PubMed using the terms “Oral manifestation OR oral lesion OR oral OR oral cavity OR mouth OR oral mucosa OR oral mucosal OR buccal mucosa OR buccal mucosal OR floor of the mouth OR lip OR lips OR tongue OR alveolar process OR alveolar ridge OR gingiva OR palate OR hard palate OR soft palate OR jaw OR jaws OR mandible OR maxilla AND coronavirus disease OR COVID-19 OR SARS-CoV-2”. Retrospective studies, case series, case reports, or letters on oral manifestations associated with COVID-19 were included on the selection. Data of country, sex, age, comorbidities, clinical characteristic, diagnosis technique, systemic and local treatment, oral manifestation onset, anatomical location, histopathology, oral clinical characteristic were retrieved from the papers. Data of each patient reported on the papers were described separately.
DOI: 10.17632/hrjjcr43nx.1
title: The accuracy of detecting melanoma on frozen section MART-1 stains and on permanent sections of previously-frozen tissue: a prospective cohort study (Supplemental Data)

description: Mendeley Supplemental eTable 1: Diagnostic Categories of Pathological Interpretations eFigure 1: Discordant Case Analysis
DOI: 10.17632/sv77pxn7p3.1
title: Modified Relion 3.0 software and Matlab scripts
DOI: 10.17632/2tnxcww6c8.1
title: Southern Ocean surface sediment diatom abundances

description: Diatom percentage abundances in the surface sediments for five Southern Ocean marine sediment cores (TC290, TC288, TC287, U1361A and BC508). Abundances are presented for 45 species and groups and reflect a time-averaged environmental signature for the last 500 yrs at each core site. For each sample a minimum of 300 diatoms were counted with a light microscope (BH-2 Olympus, x1000 magnification).
DOI: 10.17632/ggk8nsxcmw.1
title: Micro-Indentation Study on Titanium Substrates and Ti/SiC Metal Matrix Nanocomposite Coatings

description: This dataset includes the experimental and numerical results of a micro-indentation study on Titanium substrates and Ti/SiC Metal Matrix Nanocomposite coatings .
DOI: 10.21258/1724904
title: Swiss national forest inventory - Result table No. 899207
DOI: 10.5281/zenodo.4392846
title: Simultaneous readout of multiple FRET pairs using photochromism: cell traces and derived data

description: All cell traces and derived datasets for our publication on 'Simultaneous readout of multiple FRET pairs using photochromism'.
DOI: 10.5281/zenodo.4392845
title: Simultaneous readout of multiple FRET pairs using photochromism: cell traces and derived data

description: All cell traces and derived datasets for our publication on 'Simultaneous readout of multiple FRET pairs using photochromism'.
DOI: 10.17632/5nd4bv3dpk.2
title: YouTube Videos As a Source of Information on the COVID-19 Intubation

description: This data shows 37 YouTube videos meeting the inclusion criteria. Used the term ''COVID-19 intubation on 9 May 2020.
DOI: 10.17632/jg7yfbrjpk.1
title: LINF_050009600

description: NOG2; Leishmania infantum
DOI: 10.17632/4z92bc54j2.1
title: LINF_050009200

description: dynein-light chain-protein; Leishmania infantum
DOI: 10.17632/w2wm8k6kjh.2
title: District-wise covid and weather

description: Zone classification in India from 1st-4th May
DOI: 10.17632/2t8kgwzp35.2
title: Data for DeepTMInter: Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning

description: It contains five folders: 1). PDB. Crystallographic structures of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 2). Fasta. Sequences of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 3). Topology. Structure-derived and Phobius-predicted topologies of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 4). Cross Validation. 5-fold cross validations of the TrainData dataset by the stratified-shuffle method. 5). Prediction. Predictions of the 7 tools (DeepTMInter, DELPHI, MBPredAll, MBPredCombined, MBPredCyto, MBPredExtra, and MBPredTM) on the IndepData, TestData, and CompData datasets. Predictions of DeepTMInter on the human transmembrane proteome (5051 proteins). In addition, ten supplementary tables (19-28) in Excel format for the paper titled "Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning" are also available here.
DOI: 10.17632/p6xkgzt57z.1
title: Chinese green bond market and energy markets

description: The dataset includes the monthly data of Chinese green bond market and energy markets obtained from Wind database for the period from January 2010 to September 2020, with the exemption of the CNI New Energy Index, which started to be computed in July 2010.
DOI: 10.21258/1727720
title: Swiss national forest inventory - Result table No. 897204
DOI: 10.17632/fktzgbbdpr.1
title: Congenital ablation of Tacr2 reveals overlapping and redundant roles of NK2R signaling in the control of reproductive axis

description: Supplemental data
DOI: 10.21258/1735875
title: Swiss national forest inventory - Result table No. 891815
DOI: 10.17632/3hhdwz56c8.1
title: Researcher’s mobility in location and disciplinary focus: Bibliometric data utilization for Finland-based scholars for the duration of 2008-2018

description: Scientific discoveries are a result of global collaboration and often collaborations are multidisciplinary in nature. A core element of these successful collaborations will materialize trough researcher’s mobility in location and disciplinary focus. Researchers experience a numerous opportunity to practice locational mobility throughout their carriers as well as conducting a multidisciplinary research. Both changes have short- and long-term impact on individual researchers and science, technology and innovation system which has immediate interest for public and private research and development funding mechanisms. With advancement in data science tools and increasing of computational capacities, we are able to utilize bibliometric data for calculating researcher’s mobility on location and disciplinary focus over time. We looked at Finland as a case and by incorporating the analytical procedures, the processed data is capable to deliver insights for researchers mobilities between cities over time as well as disciplinary change over the course of time. The dataset is consists of identified Finland based scholar’s mobility (location and disciplinary focus) over the courses of 10 years (2008-2018). Clarivate Analytics’s Web of Science (WoS) is selected as the data source for compiling the dataset. We consider the WoS to be a more appropriate database for our compiled data set for several reasons. First, as a global citation database and comprehensive platform with over 159 million records and over 1.7 billion cited references, the WoS can track ideas across time and disciplines. Second, comparative and longitudinal studies have shown a consistent and reasonably stable quarterly growth for both publications and citations in the WoS Core Collection database. Third, WoS data structure is favorable so to consistently construct the scholars change of affiliation and subject category focus much accurately compared to other indexing services. We used the ”Advance Search” in the Web of Science and selected Core Collection database in order to search for all publication types between 2008-2018 where at least one of the authors has been based in Finland. From the raw bibliometric data retrieved, certain procedure took place so analyze, filter, clean and process the change of authors’ affiliation over their career trajectory also picking up the occasions where disciplinary focus has changed in authors publication profile. This dataset can reveal hidden dynamics on scholar’s career progress. The dataset (if) combined with funding information and mission-oriented policies can evaluate the long-lasting effect of instruments in mobilizing researchers, steering research agendas and consequently the resulted impacts. The final data set is provided in four individual XLSX files.
DOI: 10.21258/1748261
title: Swiss national forest inventory - Result table No. 902046
DOI: 10.21258/1728219
title: Swiss national forest inventory - Result table No. 898931
DOI: 10.21258/1723818
title: Swiss national forest inventory - Result table No. 891741
DOI: 10.21258/1730817
title: Swiss national forest inventory - Result table No. 899232
DOI: 10.21258/1754514
title: Swiss national forest inventory - Result table No. 902078
DOI: 10.21258/1741680
title: Swiss national forest inventory - Result table No. 902290
DOI: 10.21258/1753750
title: Swiss national forest inventory - Result table No. 892010
DOI: 10.6084/m9.figshare.13487676
title: Data on termite diversity, abondance and varietal resistance in maize fields in the Republic of Benin

description: This is data on the diversity and abundance of termites collected in 60 maize fields in 30 villages (2 fields surveyed per village) across 5 agro-ecological zones in the Republic of Benin. Data were collected between August 2018 and September 2019. The data also presented the screening of resistance of five local maize varieties (Elèkpèrè, Igbado tchakpa, Forkui , Agbadé kouin winiwini, and Korga) against termite attacks. <br>
DOI: 10.21258/1763601
title: Swiss national forest inventory - Result table No. 892867
DOI: 10.21258/1768100
title: Swiss national forest inventory - Result table No. 899371
DOI: 10.5281/zenodo.4392216
title: Supporting-data 2019WR026889

description: This supporting data consisting of experimental data and collected data is only used for the paper (No. 2019WR026889), which may publish in WRR.
DOI: 10.5281/zenodo.3566970
title: Supporting-data 2019WR026889

description: This supporting data consisting of experimental data and collected data is only used for the paper (No. 2019WR026889), which may publish in WRR.
DOI: 10.21258/1737423
title: Swiss national forest inventory - Result table No. 891956
DOI: 10.21258/1761674
title: Swiss national forest inventory - Result table No. 891970
DOI: 10.21258/1760303
title: Swiss national forest inventory - Result table No. 897706
DOI: 10.21258/1743870
title: Swiss national forest inventory - Result table No. 892974
DOI: 10.21258/1757095
title: Swiss national forest inventory - Result table No. 893020
DOI: 10.5281/zenodo.4256607
title: Supplementary Data for "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane"

description: Cartesian coordinates for all the optimized geometries reported in "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane" (acscatal.0c03906)
DOI: 10.5281/zenodo.4256606
title: Supplementary Data for "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane"

description: Cartesian coordinates for all the optimized geometries reported in "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane" (acscatal.0c03906)
DOI: 10.5281/zenodo.4388362
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388361
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388364
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388363
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388368
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388367
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388366
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388365
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388370
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388369
title: Wikidata Dump wikidata_partial

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.21258/1766468
title: Swiss national forest inventory - Result table No. 898035
DOI: 10.21258/1727682
title: Swiss national forest inventory - Result table No. 902286
DOI: 10.21258/1734769
title: Swiss national forest inventory - Result table No. 898579
DOI: 10.21258/1726176
title: Swiss national forest inventory - Result table No. 898058
DOI: 10.21258/1739762
title: Swiss national forest inventory - Result table No. 899512
DOI: 10.21258/1746488
title: Swiss national forest inventory - Result table No. 897427
DOI: 10.21258/1742063
title: Swiss national forest inventory - Result table No. 902111
DOI: 10.21258/1764772
title: Swiss national forest inventory - Result table No. 897386
DOI: 10.21258/1743425
title: Swiss national forest inventory - Result table No. 898525
DOI: 10.21258/1750183
title: Swiss national forest inventory - Result table No. 898532
DOI: 10.21258/1767618
title: Swiss national forest inventory - Result table No. 898712
DOI: 10.21258/1761349
title: Swiss national forest inventory - Result table No. 902141
DOI: 10.21258/1753438
title: Swiss national forest inventory - Result table No. 892916
DOI: 10.21258/1769053
title: Swiss national forest inventory - Result table No. 899582
DOI: 10.21258/1753421
title: Swiss national forest inventory - Result table No. 897468
DOI: 10.6084/m9.figshare.13487958
title: Book.xlsx

description: Looking for funding to start off several small businesses in the biological science field
DOI: 10.21258/1732733
title: Swiss national forest inventory - Result table No. 902272
DOI: 10.21258/1760771
title: Swiss national forest inventory - Result table No. 898753
DOI: 10.5517/ccdc.csd.cc13y6nx
title: CCDC 1040969: Experimental Crystal Structure Determination

description: Related Article: Ephrath Solel, Doron Pappo, Ofer Reany, Tom Mejuch, Renana Gershoni-Poranne, Mark Botoshansky, Amnon Stanger, Ehud Keinan|2020|Chemical Science|11|13015|doi:10.1039/D0SC04566G
DOI: 10.5517/ccdc.csd.cc13y6py
title: CCDC 1040970: Experimental Crystal Structure Determination

description: Related Article: Ephrath Solel, Doron Pappo, Ofer Reany, Tom Mejuch, Renana Gershoni-Poranne, Mark Botoshansky, Amnon Stanger, Ehud Keinan|2020|Chemical Science|11|13015|doi:10.1039/D0SC04566G
DOI: 10.5517/ccdc.csd.cc13y6qz
title: CCDC 1040971: Experimental Crystal Structure Determination

description: Related Article: Ephrath Solel, Doron Pappo, Ofer Reany, Tom Mejuch, Renana Gershoni-Poranne, Mark Botoshansky, Amnon Stanger, Ehud Keinan|2020|Chemical Science|11|13015|doi:10.1039/D0SC04566G
DOI: 10.5517/ccdc.csd.cc24tj2l
title: CCDC 1990729: Experimental Crystal Structure Determination

description: Related Article: Wenting Cai, Joshua D. Bocarsly, Ashley Gomez, Rony J. Letona Lee, Alejandro Metta-Magaña, Ram Seshadri, Luis Echegoyen|2020|Chemical Science|11|13129|doi:10.1039/D0SC05265E
DOI: 10.5517/ccdc.csd.cc24tj3m
title: CCDC 1990730: Experimental Crystal Structure Determination

description: Related Article: Wenting Cai, Joshua D. Bocarsly, Ashley Gomez, Rony J. Letona Lee, Alejandro Metta-Magaña, Ram Seshadri, Luis Echegoyen|2020|Chemical Science|11|13129|doi:10.1039/D0SC05265E
DOI: 10.5517/ccdc.csd.cc2264bs
title: CCDC 1912524: Experimental Crystal Structure Determination

description: Related Article: Fuli Xie, Huijuan Ran, Xuewei Duan, Ruijun Han, Huaming Sun, Jian-Yong Hu|2020|J.Mater.Chem.C|8|17450|doi:10.1039/D0TC04557H
description: Related Article: Xie-Fu Li|2020|CSD Communication|||
DOI: 10.5281/zenodo.4392866
title: RNA Ensembles From Solvent Accessibility Data: Application to the SAM-I Riboswitch Aptamer Domain

description: SASA-derived ensembles of the -SAM and +SAM states of the SAM-responsive riboswitch.
DOI: 10.5281/zenodo.3834834
title: RNA Ensembles From Solvent Accessibility Data: Application to the SAM-I Riboswitch Aptamer Domain

description: SASA-derived ensembles of the -SAM and +SAM states of the SAM-responsive riboswitch.
DOI: 10.21258/1762583
title: Swiss national forest inventory - Result table No. 898373
DOI: 10.21258/1755128
title: Swiss national forest inventory - Result table No. 897065
DOI: 10.21258/1732011
title: Swiss national forest inventory - Result table No. 891764
DOI: 10.21258/1762697
title: Swiss national forest inventory - Result table No. 899438
DOI: 10.21258/1737444
title: Swiss national forest inventory - Result table No. 897087
DOI: 10.21258/1755607
title: Swiss national forest inventory - Result table No. 891765
DOI: 10.21258/1746861
title: Swiss national forest inventory - Result table No. 897315
DOI: 10.21258/1730403
title: Swiss national forest inventory - Result table No. 897393
DOI: 10.21258/1737632
title: Swiss national forest inventory - Result table No. 897727
DOI: 10.21258/1768508
title: Swiss national forest inventory - Result table No. 897387
DOI: 10.21258/1730725
title: Swiss national forest inventory - Result table No. 899450
DOI: 10.6084/m9.figshare.13487982
title: Research Data.xlsx

description: Data set of project managers
DOI: 10.6084/m9.figshare.13487982.v2
title: Research Data.xlsx

description: Data set of project managers
DOI: 10.6084/m9.figshare.13487982.v1
title: Research Data.xlsx

description: Data set of project managers
DOI: 10.21258/1749108
title: Swiss national forest inventory - Result table No. 898558
DOI: 10.21258/1766055
title: Swiss national forest inventory - Result table No. 897046
DOI: 10.21258/1723728
title: Swiss national forest inventory - Result table No. 902043
DOI: 10.21258/1724110
title: Swiss national forest inventory - Result table No. 897992
DOI: 10.21258/1740585
title: Swiss national forest inventory - Result table No. 897893
DOI: 10.21258/1762200
title: Swiss national forest inventory - Result table No. 896959
DOI: 10.21258/1743608
title: Swiss national forest inventory - Result table No. 899142
DOI: 10.21258/1739644
title: Swiss national forest inventory - Result table No. 892055
DOI: 10.6084/m9.figshare.12660470
title: multiporos, a porous convection model implementing thermal cracking and magma intrusions

description: This is a Matlab based two-dimensional porous-elastic convection code originally from Crone et al. (2005) and Olive and Crone (2018), which implements porous convection and grain-scale thermal cracking processes. We added magma intrusions into this code and coupled a complete hydrothermal circulation around Mid-ocean Ridges including all end members of magmatic heating, permeability field evolution and convecting output above seafloor.The primary code without intrusions is available at github.com/tjcrone/multiporo.
DOI: 10.6084/m9.figshare.12660470.v1
title: multiporos, a porous convection model implementing thermal cracking and magma intrusions

description: This is a Matlab based two-dimensional porous-elastic convection code originally from Crone et al. (2005) and Olive and Crone (2018), which implements porous convection and grain-scale thermal cracking processes. We added magma intrusions into this code and coupled a complete hydrothermal circulation around Mid-ocean Ridges including all end members of magmatic heating, permeability field evolution and convecting output above seafloor.The primary code without intrusions is available at github.com/tjcrone/multiporo.
DOI: 10.21227/87sz-g826
title: 6219 pairs of BPMN images and definition files

description: There are 6219 BPMNs in the dataset. For each BPMN, there are five corresponding files, namely:{ XXXXX.bpmn: The definition file of the model. XXXXX.jpeg: The color model image in jpeg format. XXXXX.json: The parsing result of XXXXX.bpmn XXXXX.png: The black-and-white image in png format that is transformed by bpmn.io. XXXXX.svg: The vectorgraph of the model.}.
DOI: 10.5519/qd.an5kw57s
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/73v2cddksc.1
title: Data for: Mineralization proximal to the final Nuna suture in northeastern Australia

description: Supplemental to Olierook et al., Gondwana Research