cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z6v42n3rw4.2
title: Eddy covariance flux data: J. Geophys. Res. Atmospheres article submission

description: 4-year time series of 30 minute eddy covariance sensible heat flux and latent heat flux measurements with supporting meteorological data at 3 sites (wet Norway spruce, WNS, dry Norway spruce,DNS, and European beech, EB) All sites are part of the CzeCOS network of EC towers run by the Global Change Research Institute, CzechGlobe All flux data has undergone correction and quality checking procedures Daily relative soil moisture estimates from the SoilClim model for the WNS, DNS and EB sites are also included (growing season only)
DOI: 10.5281/zenodo.2562913
title: Hackathon - TF-TG literature triage unlabelled data

description: Once literature triage system is ready it is time to actually try to apply if to records that do not have any label in order to find the subset that does describe TF-TG interactions (are relevant). This is the corpus that has to be labeled by the systems created (hopefully) during the hackathon. To make the results more useful we have pre-selected records that do mention TFs by exploiting either automatic human TF mention recognition or external references from databases that have manually curated information on transcription factors (from GeneRif or UniProt). This means that these abstracts should be enriched with TF relevant records. This record has the same format as the training data except that the last column with the class label is missing.

It contains PMIDs and Abstracts.


	
	Name: greekc_triage_unlabelled_v01.tsv
	
	
	Example:
	
	
	Format: tsv-separated columns (PMID, PubAnnotation JSON formated results of Pubtator for this record together with the automatically detected gene mentions using GnormPlus providing the Entrez Gene Identifiers together with the mention offsets, i.e. start and end character positions
	
	
	PubAnnotation format description: http://www.pubannotation.org/docs/annotation-format/
	
	
	PubTator record retrieval description:
	


https://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/tmTools/curl.html

<strong>Warning:</strong> This file is quite big!
DOI: 10.17632/34fry4t69p.1
title: A Role for Chromatin Remodeling in Cohesin Loading onto Chromosomes

description: Raw figures and tables
DOI: 10.17632/6fybfs4zy4.1
title: SPSS Data sets

description: SPSS Data sets for study 1 to 3
DOI: 10.17632/9cbzvy2kk7.1
title: Emotion regulation in schizotypy

description: This dataset includes data to the following variables: gender, age, years of education, mother`s tongue, estimated IQ Schizotypal Personality Questionnaire Emotion Regulation Questionnaire State-Trait Anger Expression Inventory Positive and Negative Affect Schedule Hot Sauce Paradigm
DOI: 10.17632/jb2fbzpdb7.2
title: Power Coefficient for VAWT wind turbine with different deflectors

description: DataTrain: contains a set of 300 training samples, as described below. DataVal: contains a set of 50 validation samples, as described below. INPUT Parameters that describe the geometry of a deflector, as it is depicted in the file "Parametrization.pdf". Distances are in centimeters and angles in sexagesimal degrees. The values for the variables were obtained by the Latin Hypercube Sampling technique. OUTPUT Cp: Power Coefficient obtained by CFD simulations using the opensource software Code_Saturne. Cp=P/(rho*R*h*U^3), where P is the power generated by the turbine, rho is the air density,R and h are the radius and height of the turbine respectively and U is the velocity ofthe incoming wind.
DOI: 10.5281/zenodo.2562912
title: Hackathon - TF-TG literature triage unlabelled data

description: Once literature triage system is ready it is time to actually try to apply if to records that do not have any label in order to find the subset that does describe TF-TG interactions (are relevant). This is the corpus that has to be labeled by the systems created (hopefully) during the hackathon. To make the results more useful we have pre-selected records that do mention TFs by exploiting either automatic human TF mention recognition or external references from databases that have manually curated information on transcription factors (from GeneRif or UniProt). This means that these abstracts should be enriched with TF relevant records. This record has the same format as the training data except that the last column with the class label is missing.

It contains PMIDs and Abstracts.


	
	Name: greekc_triage_unlabelled_v01.tsv
	
	
	Example:
	
	
	Format: tsv-separated columns (PMID, PubAnnotation JSON formated results of Pubtator for this record together with the automatically detected gene mentions using GnormPlus providing the Entrez Gene Identifiers together with the mention offsets, i.e. start and end character positions
	
	
	PubAnnotation format description: http://www.pubannotation.org/docs/annotation-format/
	
	
	PubTator record retrieval description:
	


https://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/tmTools/curl.html

<strong>Warning:</strong> This file is quite big!
DOI: 10.17632/6gm7fydr4c.1
title: Questionnairs Study 1 to 3

description: Questionnaire for the online surveys for study 1 to 3
DOI: 10.17632/k498ggvffd.3
title: JOES - Judd Ofelt from Emission Spectra Application Software

description: By using this app please cite article: https://doi.org/10.1016/j.jlumin.2018.09.048 https://www.sciencedirect.com/science/article/pii/S0022231318313292 What is Judd-Ofelt theory? Judd-Ofelt theory has the ability to predict oscillator strengths in both absorption and luminescence, luminescence branching rations, excited state radiative lifetimes, energy-transfer probabilities and estimates of quantum efficiencies by using only three parameters. Its predictive qualities are responsible for its widespread use in all fields regarding luminescence of rare earths. Rapid increase of the importance of the field of lanthanide materials is followed by an increasing trend of number of research papers mentioning the theory. Why only europium? Europium has unique quality that Judd-Ofelt analysis can be done solely from the emission spectrum. For Judd-Ofelt of other elements from the absorption spectrum, look for the application software named RELIC. How to use it? All you need is the output file from the spectrofluorometer or a Origin file containing the spectrum intensity vs wavelength. The help file is contained within the application. Application software JOES is written in Java, and thus works on Windows, Linux or Mac OS. It is licensed under GPLv3. The application does not require installation. For Windows there are binaries available, for other platforms there are jar files. What is the app capable for? Calculate Branching ratios, Calculate Radiative transition probabilities, Calculate Cross-sections, Calculate Barycenters, Calculate Judd-Ofelt parameters Calculate CIE color space coordinates Estimate quantum efficiencies Draw CIE diagram Find Eu site symmetry Contains Refractive index database of 150 materials
DOI: 10.17632/tt85kjrv37.1
title: Aerosol light absorption and optical measurements of PTFE membrane filter samples

description: This dataset was used to reports (1) particle phase optical measurements (absorption optical depth and single scattering albedo measured using multiwavelength integrated photoacoustic spectrometers and (2) filter optical depth measurements for polytetrafluoroethylene (PTFE) membrane filter samples of carbonaceous aerosols generated from combustion of diverse biomass fuels and kerosene (surrogate for fossil fuel combustionDiverse biomass fuels including wood and needles from pine, fir, and sage trees, grass, peat, and cattle dung were burned 30 in a 21 m3 stainless steel combustion chamber located at Washington University (Sumlin et al., 2018, 2017). Flaming, smoldering, and mixed combustion phases were employed (see Sect. S1 in the Supplement) to generate a range of intrinsic aerosol properties: SSA values at 375, 405, and 35 532 nm ranged 0.4–0.99 and absorption Ångström exponents (AÅEs) for 375–532 nm ranged 1.2–6.8. A kerosene lamp was used to generate soot particles
DOI: 10.5257/iea/co2/2018-10
title: CO2 Emissions from Fuel Combustion (October 2018 Edition)

description: In recognition of the fundamental importance of understanding energy-related environmental issues, the IEA CO2 Emissions from Fuel Combustion provides a full analysis of emissions stemming from energy use. This annual publication has become an essential tool for analysts and policy makers in many international fora. The data in this dataset are designed to assist in understanding the evolution of the emissions of CO2 from 1971 for 150 countries and regions by sector and by fuel. Emissions were calculated using IEA energy databases and the default methods and emission factors from the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.
DOI: 10.17632/dm3rjb9ymc.1
title: Global coal power plant airborne emission dataset

description: Coal power plant dataset with 2012 airborne emissions per generating unit and corresponding environmental impacts. This dataset can be combined with the water-related power plant dataset from Raptis and Pfister (2016) that is linked below.
DOI: 10.5257/oecd/na/2019-01
title: National Account Statistics (2019Q1 Edition)

description: The OECD National Accounts Statistics database includes annual and quarterly data of a wide range of areas from 1955, such as gross domestic product (GDP) with its three approaches: expenditure based, output based and income based; gross domestics product (GDP) per capita; disposable income; population and employment; PPPs and exchange rates; general government accounts; financial accounts flows and stocks and central government debt for OECD countries and non-member economies. Data are internationally comparable by following the System of National Accounts 2008 (SNA 2008), except for Chile, Japan and Turkey which report under SNA 1993.
DOI: 10.17632/gfvjf2p3ht.1
title: Data from: Ensemble-based approaches and regularization techniques to enhance natural gas consumption forecasts

description: Original data: monthly gross inland natural gas consumption (in Terajoules, TJ) in each of the 14 countries included in the analysis. The data were collected from the Statistical Office of the European Union (EUROSTAT, 2019) database. The time period of the analysis spans from January 2008 to June 2018 (the last date available for all European countries). Data ranging from January 2008 to June 2017 were considered as training set for models using the traditional aggregation routines (mean and median). For models employing the regularization routines, a validation set is included between the months of July 2016 and June 2017, in which appropriate weights are assigned to each of the bagged forecasts. The test set, in turn, comprised the last 12 observations (July 2017 – June 2018). The original data can also be found in the supplementary material of the submitted manuscript (Appendix C). A total of 14 countries were selected for the empirical analysis. An endeavor was made to include most of the major consuming countries in Europe, namely France, Germany, Italy, Netherlands, Turkey and United Kingdom. To demonstrate the flexibility of the proposed approaches, we also selected several medium (Belgium, Poland and Romania) and minor consuming countries (Denmark, Finland, Ireland, Luxembourg and Slovakia). We finally emphasize that not every country could be included in the analysis, due to the lack of data (missing information and/or dataset starting after January 2008). References: EUROSTAT (European Statistics) [dataset]. January 7, 2019 Supply of gas - monthly data [nrg_103m] / UNIT: Terajoules (gross calorific value = GCV) / PRODUCT: Natural gas / INDIC_NRG: Gross inland consumption. 2019 Jan 7 [cited 2019 Jan 7]. Available from: https://ec.europa.eu/eurostat/web/energy/data/database
DOI: 10.5257/oecd/reg/2018-12
title: Regional Statistics (December 2018 Edition)

description: The OECD Regional Database provides a unique set of comparable statistics and indicators on about 2000 regions in 30 countries. It encompasses yearly time-series for around 40 indicators of demography, economic accounts, labour market, social and innovation themes in the OECD member countries.
DOI: 10.5281/zenodo.2562966
title: Hackathon - TF-TG literature triage additional data

description: TF = Transcription Factor, TG= target Gene

Jamboree: manual triage/TF-TG relation annotation exercise

Hackathon: automatic triage/TF-TG relation annotation exercise

This link contains three files:


	
	Exp_methods: A list of experimental methods used in the study of transcription factor and target gene interactions. These method names might be useful as semantic features or to index records characterizing experimentally TF-TG relations.

	
		
		Name: GREEKC_Hackathon_Exp_methods.zip
		
		
		Example: TRE_EM_prl_2    Electric Mobility Shift
		
		
		Format: tsv-separated columns (method Id, method name/alias)
		
	
	
	
	Hs_tf_hgnc_ncbigeneid: A list of human transcription factor HUGO gene symbols and their respective Entrez Gene NCBI gene identifier. This gene list might be useful as features for the literature triage systems.

	
		
		Name: GREEKC_Hackathon_hs_tf_hgnc_ncbigeneid.zip
		
		
		Example: ADNP    23394
		
		
		Format: tsv-separated columns (HUGO gene symbol Id, Entrez Gene Id)
		
	
	
	
	Sentences_methods: A list sentences that contain automatically labeled mentions of experimental method that can be used to characterize TF-TG interactions. This dataset might be useful as a more fine-grained additional training set as a considerable number of sentences to describe TF-TG interactions together with the experimental technique used to characterize them.

	
		
		Name: GREEKC_Hackathon_sentences_methods.zip
		
		
		Example: 23675312        A       7       We used chromatin immunoprecipitation (ChIP) experiments to show that Bck2 localizes to the promoters of M/G1-specific genes, in a manner dependent on functional ECB elements, as well as to the promoters of G1/S and G2/M genes.
		
		
		Format: tsv-separated columns (PubMed ID (PMID), text type (A=abstract, T= Title), sentence number, sentence text string)
DOI: 10.5281/zenodo.2562967
title: Hackathon - TF-TG literature triage additional data

description: TF = Transcription Factor, TG= target Gene

Jamboree: manual triage/TF-TG relation annotation exercise

Hackathon: automatic triage/TF-TG relation annotation exercise

This link contains three files:


	
	Exp_methods: A list of experimental methods used in the study of transcription factor and target gene interactions. These method names might be useful as semantic features or to index records characterizing experimentally TF-TG relations.

	
		
		Name: GREEKC_Hackathon_Exp_methods.zip
		
		
		Example: TRE_EM_prl_2    Electric Mobility Shift
		
		
		Format: tsv-separated columns (method Id, method name/alias)
		
	
	
	
	Hs_tf_hgnc_ncbigeneid: A list of human transcription factor HUGO gene symbols and their respective Entrez Gene NCBI gene identifier. This gene list might be useful as features for the literature triage systems.

	
		
		Name: GREEKC_Hackathon_hs_tf_hgnc_ncbigeneid.zip
		
		
		Example: ADNP    23394
		
		
		Format: tsv-separated columns (HUGO gene symbol Id, Entrez Gene Id)
		
	
	
	
	Sentences_methods: A list sentences that contain automatically labeled mentions of experimental method that can be used to characterize TF-TG interactions. This dataset might be useful as a more fine-grained additional training set as a considerable number of sentences to describe TF-TG interactions together with the experimental technique used to characterize them.

	
		
		Name: GREEKC_Hackathon_sentences_methods.zip
		
		
		Example: 23675312        A       7       We used chromatin immunoprecipitation (ChIP) experiments to show that Bck2 localizes to the promoters of M/G1-specific genes, in a manner dependent on functional ECB elements, as well as to the promoters of G1/S and G2/M genes.
		
		
		Format: tsv-separated columns (PubMed ID (PMID), text type (A=abstract, T= Title), sentence number, sentence text string)
DOI: 10.5281/zenodo.2563175
title: Nociception testing during fixed-wing ambulance flights.

description: An interventional pilot study on the effects of flight-related environmental changes on the nociception of healthy volunteers.

<strong>Abstract</strong>

<strong>Background:</strong> The effects of environmental changes during long-distance air ambulance flights on the somato-sensory system need further investigation. Changes in the nociceptive capacity are conceivable in lights of previous studies from related environmental settings. We investigated the feasibility of somato-sensory testing during air-ambulance flights and measured nociception in volunteers.

<strong>Methods:</strong> 25 healthy individuals were submitted to a test compilation analogous to the quantitative sensory testing battery - during actual air-ambulance flights. Measurements were paired around the major changes of external factors during take-off/climb and descent/landing. Bland-Altman-Plots were calculated to identify possible systemic effects.

<strong>Results:</strong> Bland-Altman-Analyses demonstrated that thresholds of stimulus detection and pain as well as above-threshold pain along critical waypoints of travel are not subject to systemic effects but only demonstrate random variations.

<strong>Conclusions:</strong> We provide a novel description of a real-life experimental set-up and demonstrate the general feasibility of somato-sensory testing during ambulance flights. Systematic effects on the nociception of healthy individuals are not apparent from our data. Our findings open up the possibility of future investigations into potential effects of ambulance flights on patients suffering from acute or chronic pain and in need of analgesia.
DOI: 10.5281/zenodo.2563176
title: Nociception testing during fixed-wing ambulance flights.

description: An interventional pilot study on the effects of flight-related environmental changes on the nociception of healthy volunteers.

<strong>Abstract</strong>

<strong>Background:</strong> The effects of environmental changes during long-distance air ambulance flights on the somato-sensory system need further investigation. Changes in the nociceptive capacity are conceivable in lights of previous studies from related environmental settings. We investigated the feasibility of somato-sensory testing during air-ambulance flights and measured nociception in volunteers.

<strong>Methods:</strong> 25 healthy individuals were submitted to a test compilation analogous to the quantitative sensory testing battery - during actual air-ambulance flights. Measurements were paired around the major changes of external factors during take-off/climb and descent/landing. Bland-Altman-Plots were calculated to identify possible systemic effects.

<strong>Results:</strong> Bland-Altman-Analyses demonstrated that thresholds of stimulus detection and pain as well as above-threshold pain along critical waypoints of travel are not subject to systemic effects but only demonstrate random variations.

<strong>Conclusions:</strong> We provide a novel description of a real-life experimental set-up and demonstrate the general feasibility of somato-sensory testing during ambulance flights. Systematic effects on the nociception of healthy individuals are not apparent from our data. Our findings open up the possibility of future investigations into potential effects of ambulance flights on patients suffering from acute or chronic pain and in need of analgesia.
DOI: 10.17632/dnnfyfxnw4.1
title: Data for: Analysis of individual and social factors affecting occupational accidents in the steel production industry

description: The obtained through questionnaires provided for the subjects (people who have experienced occupational accidents and those who have not but still work in the steel production industry) in order to the analysis of individual and social factors affecting the accidents.
DOI: 10.5257/imf/bops/2019-01
title: Balance of Payment Statistics (January 2019 Edition)

description: The Balance of Payments (BOPS) provides a framework that is applicable for a range of economies, from the smallest and least-developed economies to the more advanced and complex economies. As a result, it is recognized that some items may not be relevant in all cases. The balance of payments is a statistical statement that summarizes transactions between residents and non-residents during a period. It consists of the goods and services account, the primary income account, the secondary income account, the capital account, and the financial account. Under the double-entry accounting system that underlies the balance of payments, each transaction is recorded as consisting of two entries and the sum of the credit entries and the sum of the debit entries is the same.
DOI: 10.17632/cjhgx6wbxy.1
title: For: Human keratinocytes use sphingosine 1-phosphate and its receptors to communicate S. aureus invasion and activate host defense.

description: These are primary data for the paper entitled Human keratinocytes use sphingosine 1-phosphate and its receptors to communicate S. aureus invasion and activate host defense.
DOI: 10.17632/bs2z92449s.1
title: Supplementary Data S1: Next generation sequencing from Hepatozoon canis (Apicomplexa: Coccidia: Adeleorina): Complete apicoplast genome and multiple mitochondrion-associated sequences

description: These files comprise all of the NGS sequence assemblies referred to in the article: "Next generation sequencing from Hepatozoon canis (Apicomplexa: Coccidia: Adeleorina): Complete apicoplast genome and multiple mitochondrion-associated sequences." All assemblies were generated from Illumina HiSeq 2500 sequencing data (126 bp paired-end reads, insert length ~500 bp). In the case of mitochondrion-associated sequences 1, 2, 3 and 4: PCR and Sanger sequencing data were utilized to provide additional assembly coverage of CDS regions. Files included are: BAM assembly files: .bam, .bai and .fasta (these files are needed together to generate a BAM assembly flat file - supported by many software platforms). Geneious assembly files: Complete annotated assemblies (with NGS read pairings) can be viewed with Geneious software (versions 6.1 or newer). These files will provide the greatest details of the assembly data. Jpeg images of Geneious assemblies: These files were provided for ease of viewing and rapid analysis. Note: images were not generated for the complete ribosomal DNA unit and 18S rDNA variant assemblies as these assemblies were too large to viewed as images.
DOI: 10.17632/mkxsyw669t.1
title: Dataset of phytoremediation ability and growth of mycorrhizal fungi-assisted tomatoes in Pb-Cd-contaminated soil using x-ray fluorescence spectrometry, light microscopy and observation

description: In this research, arbuscular mycorrhizal fungi (“AMF”) was introduced to Early Girl tomato plants grown in soil exposed to lead (Pb) and cadmium (Cd), common soil contaminants with detrimental developmental and neurological effects. After a two month growing period, vinegar-and-ink staining and light microscopy of roots was used to visualize structural characteristics of AMF (e.g. vesicles, hyphae, and arbuscules) and lead sequestration (e.g. complexes attached to the cell wall). Dry mass and height difference over time of individual plants was measured in order to document the effect of Pb-Cd and arbuscular mycorrhizal fungi on tomato growth, both paired and unpaired. X-ray fluorescence spectrometry was utilized to measure concentrations (ppm) of Pb and Cd within two samples from each group’s root, stem, and flower systems in order to quantify plant bioaccumulation and subsequently analyze phytoremediation efficacy.
DOI: 10.17632/wpxk9s6wbf.1
title: Simulated_Datasets_and_SAS_Scripts

description: This data contains simulations of brain connectivity with known population differences at local and global levels. This is a research data accompanying a submitted paper.