cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive140637.20201210.5
title: Mycobacterium paraintracellulare

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140638.20201210.5
title: Corynebacterium guangdongense Li et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140639.20201210.5
title: Planomonospora corallina Suriyachadkun et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140640.20201210.5
title: Micromonospora sediminis Phongsopitanun et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140641.20201210.5
title: Streptomyces chitinivorans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140642.20201210.5
title: Halorubrum pallidum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140643.20201210.5
title: Salinigranum salinum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140644.20201210.5
title: Paenibacillus liaoningensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140645.20201210.5
title: Leucobacter corticis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140646.20201210.5
title: Puzihella rosea

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive140647.20201210.5
title: Natrinema soli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.4883627
title: Dataset for Seismic Characteristics on the Free-fall Impact and Fragmentation Process of Rock Block

description: This dataset consists of all data used in the manuscript of "Seismic Characteristics on the Free-fall Impact and Fragmentation Process of Rock Block".
DOI: 10.5281/zenodo.4009935
title: Dataset for Seismic Characteristics on the Free-fall Impact and Fragmentation Process of Rock Block

description: This dataset consists of all data used in the manuscript of "Seismic Characteristics on the Free-fall Impact and Fragmentation Process of Rock Block".
DOI: 10.5517/ccdc.csd.cc2802r4
title: CCDC 2085455: Experimental Crystal Structure Determination

description: Related Article: M. Wanat, M. Malinska, M.J. Gutmann, R.I. Cooper, K. Wozniak|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|41|doi:10.1107/S2052520620014936
DOI: 10.6084/m9.figshare.14706477
title: Diversity and distributional pattern of poroid wood-inhabiting fungi a case study in Chile Supplementary Material 1.xlsx

description: This set compile all published data related to poroid wood-inhabiting fungi of Chile. Contain taxonomic, geographical, bibliographic and ecological information.<br>Definitions of the header row:genus: specific genus<br>specificEpithet: specific species<br>scientificNameAuthorship: Authorship of the species<br>Host_species: the host scientific name<br>decimalLatitude: Latitude in hexadecimal system<br>decimalLongitude: Longitude in hexadecimal system<br>verbatimLocality: the exact locality information recorded in the reference <br>associatedReferences: The bibliographic reference regarding the information of the row<br>Vegetational formations: information of the vegetational formations according to "Luebert and Pliscoff. 2018.Sinopsis bioclimática y vegetacional de Chile. Editorial Universitaria. 384p."<br>Vegetational formation code: code associated with the vegetational formations of Luebert and Pliscoff (2018)<br>Köppen-Geiger climate classification : climatic information according to Köppen-Geiger climate classification <br>Köppen-Geiger climate classification code: code associated with Köppen-Geiger climate classification<br><br>
DOI: 10.6084/m9.figshare.14706477.v1
title: Diversity and distributional pattern of poroid wood-inhabiting fungi a case study in Chile Supplementary Material 1.xlsx

description: This set compile all published data related to poroid wood-inhabiting fungi of Chile. Contain taxonomic, geographical, bibliographic and ecological information.<br>Definitions of the header row:genus: specific genus<br>specificEpithet: specific species<br>scientificNameAuthorship: Authorship of the species<br>Host_species: the host scientific name<br>decimalLatitude: Latitude in hexadecimal system<br>decimalLongitude: Longitude in hexadecimal system<br>verbatimLocality: the exact locality information recorded in the reference <br>associatedReferences: The bibliographic reference regarding the information of the row<br>Vegetational formations: information of the vegetational formations according to "Luebert and Pliscoff. 2018.Sinopsis bioclimática y vegetacional de Chile. Editorial Universitaria. 384p."<br>Vegetational formation code: code associated with the vegetational formations of Luebert and Pliscoff (2018)<br>Köppen-Geiger climate classification : climatic information according to Köppen-Geiger climate classification <br>Köppen-Geiger climate classification code: code associated with Köppen-Geiger climate classification<br><br>
DOI: 10.6084/m9.figshare.14706702
title: Diversity and distributional pattern of poroid wood-inhabiting fungi a case study in Chile Supplementary Material 2.xlsx

description: This set compile the taxonomic information of poroid fungi from Chile which has hosts records, including order, family and scientific name. the host are classified by Angiosperm and Gymnosperm
DOI: 10.6084/m9.figshare.14706702.v1
title: Diversity and distributional pattern of poroid wood-inhabiting fungi a case study in Chile Supplementary Material 2.xlsx

description: This set compile the taxonomic information of poroid fungi from Chile which has hosts records, including order, family and scientific name. the host are classified by Angiosperm and Gymnosperm
DOI: 10.6084/m9.figshare.14706717
title: Geogenic organic carbon in terrestrial sediments and its contribution to total soil carbon _ Data

description: Raw data from the published SOIL article "Geogenic organic carbon in terrestrial sediments and its contribution to total soil carbon" and coresponding R scripts<br>
DOI: 10.6084/m9.figshare.14706717.v1
title: Geogenic organic carbon in terrestrial sediments and its contribution to total soil carbon _ Data

description: Raw data from the published SOIL article "Geogenic organic carbon in terrestrial sediments and its contribution to total soil carbon" and coresponding R scripts<br>
DOI: 10.6084/m9.figshare.14706648
title: Diabetes Mellitus in Nepal from 2000 to 2020: A systematic review and meta-analysis

description: The systematic review was registered in PROSPERO (CRD42020215247) and was documented according to the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We used electronic databases like PubMed, PubMed Central, Scopus, Google Scholar, and Embase to search relevant articles from 2000 to 2020 using the appropriate keywords like “diabetes mellitus”, “high blood sugar”, “type 2 diabetes”, “prevalence”, “risk factor” and “Nepal” along with relevant Boolean operators. The eligibility criteria for inclusion were:1. All papers (cross-sectional studies, case series reporting more than 50 patients, cohort study, RCTs) mentioning prevalence of Type 2 DM and/or detail of DM like risk factors, outcome, and outcome predictors 2. Studies conducted from 2000 onwards till 2020 3. Studies in Nepal only. 4. Published articles. We excluded 1. Editorials, commentaries, viewpoint articles with no proper data of diabetes mellitus and lacking adequate data of interest will be excluded. 2. Studies conducted outside Nepal.<b> </b> 3. Studies before 1999 AD.4. Studies of Type 1 DM and GDM.
DOI: 10.6084/m9.figshare.13205924
title: PIAS: an interactive visualization platform for integrative analysis of multi-source single-cell RNA-seq datasets

description: Download and unzip the RData data and place it under the path www/task/public of PIAS.<br><br>PIAS is a web-based interactive platform for integrative analysis of multi-source single-cell RNA-seq datasets. Different from many other single-cell RNA-seq analysis platforms or pipelines that mainly focus on preprocessing or analysis of one single-cell RNA-seq dataset, PIAS has the unique feature of integrating multi-source datasets and incorporates various metrics for comprehensively evaluating the result of data integration. Moreover, PIAS provides rich functions for data preprocessing, comprehensive analyses and visualization, including gene name transfer, quality control, normalization, highly variable genes identification, batch-effect removal, dimen-sionality reduction, clustering, differentially expressed, cluster annotation, enrichment analysis, and sin-gle-cell trajectories construction. Users can freely choose to perform desired functions, visualize results, and transfer data through interactive operations with PIAS. <br>
DOI: 10.6084/m9.figshare.13205924.v3
title: PIAS: an interactive visualization platform for integrative analysis of multi-source single-cell RNA-seq datasets

description: Download and unzip the RData data and place it under the path www/task/public of PIAS.<br><br>PIAS is a web-based interactive platform for integrative analysis of multi-source single-cell RNA-seq datasets. Different from many other single-cell RNA-seq analysis platforms or pipelines that mainly focus on preprocessing or analysis of one single-cell RNA-seq dataset, PIAS has the unique feature of integrating multi-source datasets and incorporates various metrics for comprehensively evaluating the result of data integration. Moreover, PIAS provides rich functions for data preprocessing, comprehensive analyses and visualization, including gene name transfer, quality control, normalization, highly variable genes identification, batch-effect removal, dimen-sionality reduction, clustering, differentially expressed, cluster annotation, enrichment analysis, and sin-gle-cell trajectories construction. Users can freely choose to perform desired functions, visualize results, and transfer data through interactive operations with PIAS. <br>
DOI: 10.5281/zenodo.4883697
title: Typical Downscaled Year (TDY) for building energy simulations (.epw format) in current climate (1976-2004), Leuven (city centre), Belgium

description: Typical Downscaled Year (TDY), based on the methodology of Nik (2016), is extracted for the location of Leuven (city centre, 50°52'48" N 4°42'0" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY is extracted for the current period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
description: {"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]}
DOI: 10.5281/zenodo.4883696
title: Typical Downscaled Year (TDY) for building energy simulations (.epw format) in current climate (1976-2004), Leuven (city centre), Belgium

description: Typical Downscaled Year (TDY), based on the methodology of Nik (2016), is extracted for the location of Leuven (city centre, 50°52'48" N 4°42'0" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY is extracted for the current period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
description: {"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]}
DOI: 10.34808/exdv-6t87
title: Calculations of material factors for a set of 20 thermistors

description: The presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
The measurement system is shown in Fig. 1. A measurement system based on NI PXIe-1082Q (National Instruments Chassis), equipped with NI PXIe-8135 (Embedded Controller), NI PXIe-6341 (DAQ card) and NI SCB-68A (68-pin connector block), was used for the acquisition of measurement data. Eleven input channels of the DAQ card were used in the measurements. Channel 0 (ch_0) was used to measure the supply voltage. Sensors numbered 1 to 20 were tested in two parts, ten sensors per set. They were connected to the inputs of channels 1-10 (ch_1-ch_10) of the DAQ card.
The conditioning unit for individual sensors is shown in Fig.2. These circuits are performed on connector block SCB-68A as the voltage dividers. For the set of ten thermistors, the supply voltage is measured in channel 0 (ch_0) of the DAQ card, and individual thermistors are connected to channels 1-10 (ch_i).
The calculations of the material factors were performed based on the following datasets [Maśnicki, R., Tyndzik, K., & Pałczyńska, B. (2021). Calibration of NTC 10k thermistors in temperature of 0 C [Data set]. Gdańsk University of Technology. https://doi.org/10.34808/dcn8-z120], [Maśnicki, R., Tyndzik, K., & Pałczyńska, B. (2021). Calibration of NTC 10k thermistors in temperature of 100 C [Data set]. Gdańsk University of Technology. https://doi.org/10.34808/hexp-sy19], and [Maśnicki, R., & Pałczyńska, B. (2021). Calculations of the resistance values of 10 ratio resistors [Data set]. Gdańsk University of Technology. https://doi.org/10.34808/n324-jc97].  Fig. 1. The measurement setup  
Specifically, the values of material factors of individual thermistors were calculated using the results from the files Rt0.0C.lvm, RtII0.0C.lvm, Rt100.0C.lvm, RtII100.0C.lvm and resR.lvm.
The results are shown in the attached files: IB.lvm and IIB.lvm for two sets of 10 thermistors, respectively.
                                                                                                                Fig. 2. The sensor conditioning unit
DOI: 10.5281/zenodo.4883713
title: Typical Downscaled Year (TDY) for building energy simulations (.epw format) in future climate (2069-2098 - RCP 8.5), Leuven (city centre), Belgium

description: Typical Downscaled Year (TDY), based on the methodology of Nik (2016), is extracted for the location of Leuven (city centre, 50°52'48" N 4°42'0" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY is extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
description: {"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]}