cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14706339.v1
title: Dataset_In-exclusion in urban food governance.zip

description: The data collection consists of three stages.1) In the first stage, three expert interviews were conducted with (ex-)government officials to understand the timeline leading up to the development of the urban food strategy in 2020 (interviews I01, I02 and I03). The interview guide for these interviews is included in the ZIP file.2) In stage 2, a social network analysis was conducted through a network survey (survey included in the ZIP file). Participants were asked to list up to five parties that were directly important to their organisation in the field of food, which were subsequently assessed in terms of frequency of contact, dependency and type of exchange. A total of 26 people completed the network survey, representing a total of 17 different organizations. Rather than sticking to one entry per organization, all separate entries were included into the network analysis. A matrix was created mapping all the ties coming out of the survey (included in the ZIP file). This matrix was fed into UCINET, a network software program, to create the network analysis. In addition, the data was analysed in Excel (included in the ZIP file).3) During stage 3, twelve additional semi-structured interviews were conducted (I04-I015). All interviews were transcribed in their native language (Dutch).
DOI: 10.5281/zenodo.4883231
title: Paediatric surgical trials, their fragility index, and why to avoid using it to evaluate trials

description: Dataset for the evaluation of fragility indices in paediatric surgical trials.
DOI: 10.5281/zenodo.4876473
title: Paediatric surgical trials, their fragility index, and why to avoid using it to evaluate trials

description: Dataset for the evaluation of fragility indices in paediatric surgical trials.
DOI: 10.34740/kaggle/dsv/2289384
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.4777658
title: Dataset from: Diet Supplementation with Fish-Derived Extracts Suppresses Diabetes and Modulates Intestinal Microbiome in a Murine Model of Diet-Induced Obesity

description: V3-V4 16S rRNA sequences from mice gut microbiome.
description: This project has received funding from the Bio-based Industries Joint Undertaking under the European Union Horizon 2020 research and innovation program under grant agreement No 790956 (AQUABIOPRO-FIT) and the research project "Center for the study and sustainable exploitation of Marine Biological Resources" (CMBR, MIS 5002670) in the framework of the National Roadmap for Research Infrastructures
DOI: 10.5281/zenodo.4777657
title: Dataset from: Diet Supplementation with Fish-Derived Extracts Suppresses Diabetes and Modulates Intestinal Microbiome in a Murine Model of Diet-Induced Obesity

description: V3-V4 16S rRNA sequences from mice gut microbiome.
description: This project has received funding from the Bio-based Industries Joint Undertaking under the European Union Horizon 2020 research and innovation program under grant agreement No 790956 (AQUABIOPRO-FIT) and the research project "Center for the study and sustainable exploitation of Marine Biological Resources" (CMBR, MIS 5002670) in the framework of the National Roadmap for Research Infrastructures
DOI: 10.6084/m9.figshare.14706372
title: KDDTest+

description: KDDTest+ - The full NSL-KDD test set including attack-type labels and difficulty level in CSV format
DOI: 10.34740/kaggle/dsv/2289525
title: Nepal ICU and Ventilators Occupancy for COVID
DOI: 10.5281/zenodo.4812993
title: Extreme Warm Year (EWY) for building energy simulations (.epw format) in current climate, Uccle, Belgium

description: Extreme Warm Year (EWY), based on the methodology of Nik (2016), is extracted for the location of Uccle (50°47'49"N 4°21'29" 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 EWY is extracted for the recent past 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.4812992
title: Extreme Warm Year (EWY) for building energy simulations (.epw format) in current climate, Uccle, Belgium

description: Extreme Warm Year (EWY), based on the methodology of Nik (2016), is extracted for the location of Uccle (50°47'49"N 4°21'29" 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 EWY is extracted for the recent past 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.4812977
title: Extreme Warm Year (EWY) for building energy simulations (.epw format) in future climate (2069-2098 - RCP 8.5), Uccle, Belgium

description: Extreme Warm Year (EWY), based on the methodology of Nik (2016), is extracted for the location of Uccle (50°47'49"N 4°21'29" 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 EWY 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."]}
DOI: 10.5281/zenodo.4812976
title: Extreme Warm Year (EWY) for building energy simulations (.epw format) in future climate (2069-2098 - RCP 8.5), Uccle, Belgium

description: Extreme Warm Year (EWY), based on the methodology of Nik (2016), is extracted for the location of Uccle (50°47'49"N 4°21'29" 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 EWY 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."]}
DOI: 10.5281/zenodo.4688772
title: emosca-cnr/interactome-comparison: First release

description: <strong>Supplementary data</strong> Ettore Mosca, Matteo Bersanelli, Tommaso Matteuzzi, Noemi Di Nanni, Gastone Castellani, Luciano Milanesi, Daniel Remondini, Characterization and comparison of gene-centered human interactomes, <em>Briefings in Bioinformatics</em>, 2021; bbab153, https://doi.org/10.1093/bib/bbab153
description: {"references": ["https://doi.org/10.1093/bib/bbab153"]}
DOI: 10.5281/zenodo.4688771
title: emosca-cnr/interactome-comparison: First release

description: <strong>Supplementary data</strong> Ettore Mosca, Matteo Bersanelli, Tommaso Matteuzzi, Noemi Di Nanni, Gastone Castellani, Luciano Milanesi, Daniel Remondini, Characterization and comparison of gene-centered human interactomes, <em>Briefings in Bioinformatics</em>, 2021; bbab153, https://doi.org/10.1093/bib/bbab153
description: {"references": ["https://doi.org/10.1093/bib/bbab153"]}
DOI: 10.34740/kaggle/dsv/2289593
title: COVID Vaccination in World (updated daily)
DOI: 10.34943/d26ed8d9-042e-4f9e-92b1-572e969e48ca
title: Bamfield Accelerometer Deployed 2017-07-07

description: The Nanometrics Titan SMA (S/N 000637) was deployed on 2017-07-07 at Bamfield. Bamfield is a community located on the west coast of Vancouver Island in British Columbia. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34808/2ztn-9f40
title: Calculations of the resistance values of 20 thermistors at 0°C

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 thermistor set was placed in a thermal tank containing a mixture of water and ice at a temperature of 0°C (confirmed by a digital temperature gauge DT-34 with an accuracy of 0.1°C).
The calculations of the resistance values were performed based on the 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].  Fig. 1. The measurement setup The mentioned datasets consist of 15  files 0.0Cx.lvm  and 15 files II0.0Cx.lvm (where: x is from 0 to 14), containing the measurement results supply voltages Uz (ch_0) (Fig. 2) and voltages at the outputs of ten voltage dividers (ch_1 to ch_10), repeated in two series (at 0.0°C, for two batches of thermistors, 10 per batch) with 30 measurements for each of the 11 channels. The resistance calculations were performed for 20 thermistors. The file Rt0.0C.lvm contains data for the first part (ten thermistors), and file RtII0.0C.lvm contains data for the second part (another ten thermistors) of 20 thermistors set. The last two lines show the averaged resistance values with standard deviations.                                                                                                               Fig. 2. The sensor conditioning unit
DOI: 10.34808/n324-jc97
title: Calculations of the resistance values of 10 ratio resistors

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).
To make further calculations of the thermistor resistance and other parameters, we need to know the resistance values R in each of the measurement channels (from ch_1 to ch_10). The calculations are performed based on the datasets [Maśnicki, R., Tyndzik, K., & Pałczyńska, B. (2021). Determination of the ratio resistors in the input circuits of the NTC10k thermistor calibration system [Data set]. Gdańsk University of Technology. https://doi.org/10.34808/3gjm-h196].  Fig. 1. The measurement setup  
The mentioned measurement results included in the data set 5001.zip, composed of ten files 5001kx.lvm (where: x is from 1 to 10) allows determining the R-value in each channel. They are obtained in the circuit as shown in Figure 2, wherein the place of the thermistor in each of the measurement channels a standard resistor with a resistance of 5001 Ohm was used.
Resistance calculations were performed for ten ratio resistors R, located in 10 measuring channels. The file resR.lvm contains averaged values of ratio resistances in individual 10 channels together with standard deviations.                                                                                                               Fig. 2. The sensor conditioning unit