cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10378420
title: Wild for Orchids Citizen Science Campaign Records 2020 - 2023

description: This dataset represents the geographic distribution of wild orchids in the Maltese Islands, as recorded by the Wild For Orchids Citizen Science Initiative between January 2020 and December 2023. It includes data obtained through citizen science contributions and has undergone rigorous two-stage quality control for species identification and GPS accuracy. Species identification was carried out according to Mifsud (2018). The location data of each records is provided as a shapefile format projected in ETRS89-extended / LAEA Europe (EPSG:3035), and exact GPS location were transformed in 1 km square grid according to the European Forum for Geography and Statistics (EFGS).

Wild for Orchids is a Citizen Science Initiative designed and managed by Green House Malta.
DOI: 10.5281/zenodo.10378421
title: Wild for Orchids Citizen Science Campaign Records 2020 - 2023

description: This dataset represents the geographic distribution of wild orchids in the Maltese Islands, as recorded by the Wild For Orchids Citizen Science Initiative between January 2020 and December 2023. It includes data obtained through citizen science contributions and has undergone rigorous two-stage quality control for species identification and GPS accuracy. Species identification was carried out according to Mifsud (2018). The location data of each records is provided as a shapefile format projected in ETRS89-extended / LAEA Europe (EPSG:3035), and exact GPS location were transformed in 1 km square grid according to the European Forum for Geography and Statistics (EFGS).

Wild for Orchids is a Citizen Science Initiative designed and managed by Green House Malta.
DOI: 10.5281/zenodo.10382541
title: Canadian Environmental Sustainability Indicators
DOI: 10.5281/zenodo.10382540
title: Canadian Environmental Sustainability Indicators
DOI: 10.6084/m9.figshare.23686710.v1
title: Molecular Basis and Cellular Functions of Vinculin-Actin Directional Catch Bonding

description: Supplementary Figures 1 to 20.
Supplementary Tables 1 to 20 contains a detailed list of p-values for analyses involving multiple comparisons. This table, organized by figure and comparison, contains a list of p-values for multiple comparisons made in the study.
DOI: 10.6084/m9.figshare.23686710
title: Molecular Basis and Cellular Functions of Vinculin-Actin Directional Catch Bonding

description: Supplementary Figures 1 to 20.
Supplementary Tables 1 to 20 contains a detailed list of p-values for analyses involving multiple comparisons. This table, organized by figure and comparison, contains a list of p-values for multiple comparisons made in the study.
DOI: 10.6084/m9.figshare.23689944.v1
title: Proximity extracellular protein-protein interaction analysis of EGFR using AirID-conjugated fragment of antigen binding

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.23689944
title: Proximity extracellular protein-protein interaction analysis of EGFR using AirID-conjugated fragment of antigen binding

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.23701785.v1
title: CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation.

description: This repo contains all the processed data for the following publication: CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation.
The Data set final file contains all the experimental details for each figures, including the number of experiments, animal number and scoring sheets for the behaviour.
Figure3.mat and Figure7.mat contains the electrophysiological files used for SWRs analysis for each mice. Data are organized by days of recordings (from D-2 to D1) as reported in the excel file. 
- LFP channel used for ripples and sleep analysis, downsampled to 1kHz.
- int_exploration: index of the awake periods.
- int_REM: index of the REM periods.
- int_SWS: index of the slow wave sleep periods.
- Ripples: ripples detected.
Time is expressed in seconds.
Scripts for analysing these data can be found here: https://github.com/Humeaulab/CA3-hippocampal-synaptic-plasticity-supports-ripple-physiology-during-memory-consolidation
DOI: 10.6084/m9.figshare.23701785
title: CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation.

description: This repo contains all the processed data for the following publication: CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation.
The Data set final file contains all the experimental details for each figures, including the number of experiments, animal number and scoring sheets for the behaviour.
Figure3.mat and Figure7.mat contains the electrophysiological files used for SWRs analysis for each mice. Data are organized by days of recordings (from D-2 to D1) as reported in the excel file. 
- LFP channel used for ripples and sleep analysis, downsampled to 1kHz.
- int_exploration: index of the awake periods.
- int_REM: index of the REM periods.
- int_SWS: index of the slow wave sleep periods.
- Ripples: ripples detected.
Time is expressed in seconds.
Scripts for analysing these data can be found here: https://github.com/Humeaulab/CA3-hippocampal-synaptic-plasticity-supports-ripple-physiology-during-memory-consolidation
DOI: 10.6084/m9.figshare.22731047
title: data and code descriptions

description: All kinds of provincial energy consumption data were from the iNEMS database of the Center for Energy and Environmental Policy Research of Beijing Institute of Technology46. National greenhouse gas inventory data were used for various energy emission factors, including 2.66 tons of CO2/standard coal for coal, 1.73 tons of CO2/standard coal for oil products, and 1.56 tons of CO2/standard coal for natural gas. The historical GDP data for each province were from the National Bureau of Statistics, and the forecast data were from the high-speed and low-speed scenario data in the ref31 (See Supplementary Table 3 for specific settings). The GDP data were uniformly converted into GDP values with 2020 as the constant price through the GDP index. This study sets the GDP of each province in future years according to the deviation degree of the growth rate of different provinces, and the upper and lower limits are respectively high-speed and low-speed scenario data. The historical population data for each province is from the National Bureau of Statistics47, and the future population forecast is from ref48. The energy consumption per unit output value and the proportion of secondary industry in each province were derived from the National Bureau of Statistics and provincial statistical yearbooks. The historical and future urbanization rate data for each province are from the National Bureau of Statistics and ref49. The planning goals for each province, such as the year of carbon peak, energy intensity, coal proportion, non-fossil energy proportion, and other data, were collected from the official policy documents launched by provincial governments
DOI: 10.6084/m9.figshare.22731047.v1
title: data and code descriptions

description: All kinds of provincial energy consumption data were from the iNEMS database of the Center for Energy and Environmental Policy Research of Beijing Institute of Technology46. National greenhouse gas inventory data were used for various energy emission factors, including 2.66 tons of CO2/standard coal for coal, 1.73 tons of CO2/standard coal for oil products, and 1.56 tons of CO2/standard coal for natural gas. The historical GDP data for each province were from the National Bureau of Statistics, and the forecast data were from the high-speed and low-speed scenario data in the ref31 (See Supplementary Table 3 for specific settings). The GDP data were uniformly converted into GDP values with 2020 as the constant price through the GDP index. This study sets the GDP of each province in future years according to the deviation degree of the growth rate of different provinces, and the upper and lower limits are respectively high-speed and low-speed scenario data. The historical population data for each province is from the National Bureau of Statistics47, and the future population forecast is from ref48. The energy consumption per unit output value and the proportion of secondary industry in each province were derived from the National Bureau of Statistics and provincial statistical yearbooks. The historical and future urbanization rate data for each province are from the National Bureau of Statistics and ref49. The planning goals for each province, such as the year of carbon peak, energy intensity, coal proportion, non-fossil energy proportion, and other data, were collected from the official policy documents launched by provincial governments
DOI: 10.34740/kaggle/dsv/7207238
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/7207252
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7207253
title: OnlineFree
DOI: 10.5281/zenodo.10361123
title: EPFL HPICONET_2010 13 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 13 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/13.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361121
title: EPFL HPICONET_2010 30 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 30 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/30.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361120
title: EPFL HPICONET_2010 30 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 30 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/30.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.25919/2kxy-z094
title: Parkes observations for project P1054 semester 2023OCTS_09

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Twentyfive sources have been discovered in targeted observations of Fermi unidentified point sources, one in association with a Supernova Remnant, 13 in the Magellanic Clouds, 72 in Globular Clusters and 78 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.5281/zenodo.10361119
title: EPFL HPICONET_2010 33 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 33 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/33.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361118
title: EPFL HPICONET_2010 33 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 33 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/33.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361122
title: EPFL HPICONET_2010 13 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 13 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/13.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.21227/krbw-ge80
title: Dataset of "Experimental Implementation of Molecule Shift Keying for Enhanced Molecular Communication"

description: Molecular communication is a paradigm inspired by biological systems, where chemical signals encode and transmit information. MoSK (Molecule Shift Keying) is proposed as a modulation technique that utilizes different signaling molecules to encode digital information. MoSK mimics natural molecular communication by leveraging the diversity of signaling molecules and their specific roles. Experimental testbeds have been developed using microfluidic systems, droplet-based platforms, and biological cells to validate MoSK. A prototype platform for MoSK implementation is presented, including a transmitter with infusion and selection valves, and a fluorescence-based receiver. The receiver detects and decodes fluorescence signals emitted by Graphene Quantum Dots (GQDs), which are water-soluble and fluorescent molecular messengers. The receiver acquires the fluorescence signals of blue-GQDs and cyan-GQDs, and the performance of the system can be evaluated in terms of synchronization, detection threshold, and symbol recognition using the provided dataset.
DOI: 10.5281/zenodo.10374334
title: Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation

description: Datasets and code used for figures in the following paper:

Liu et al. 2023. Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation, Nature Communications, under review
DOI: 10.5281/zenodo.10374335
title: Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation

description: Datasets and code used for figures in the following paper:

Liu et al. 2023. Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation, Nature Communications, under review
DOI: 10.5281/zenodo.10389950
title: Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation

description: Datasets and code used for figures in the following paper:

Liu et al. 2023. Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation, Nature Communications, under review
DOI: 10.5281/zenodo.10361117
title: EPFL HPICONET_2010 31 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 31 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/31.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361116
title: EPFL HPICONET_2010 31 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 31 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/31.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10299979
title: Molecular Dynamics Simulation Dataset for "Hydrophobic Mismatch Drives Self-Organization of Designer Proteins into Synthetic Membranes"

description: This repository contains molecular dynamics (MD) simulation data from the study on the self-organization of designer proteins in synthetic membranes. The data includes simulations for different single lipid compositions (DOPC, DPPC, DYPC) denoted as [lipid]-PL* where PL stands for the different TMD constructs. Multi component simulation are named accordingly. The repository provides initial (eqi.gro) and final (prod.gro) coordinates for each simulation. The 'cmd' file in each directory outlines the assembly process of each simulation, and the 'mdp' folder contains all input files for the simulations.
DOI: 10.5281/zenodo.10299980
title: Molecular Dynamics Simulation Dataset for "Hydrophobic Mismatch Drives Self-Organization of Designer Proteins into Synthetic Membranes"

description: This repository contains molecular dynamics (MD) simulation data from the study on the self-organization of designer proteins in synthetic membranes. The data includes simulations for different single lipid compositions (DOPC, DPPC, DYPC) denoted as [lipid]-PL* where PL stands for the different TMD constructs. Multi component simulation are named accordingly. The repository provides initial (eqi.gro) and final (prod.gro) coordinates for each simulation. The 'cmd' file in each directory outlines the assembly process of each simulation, and the 'mdp' folder contains all input files for the simulations.
DOI: 10.5281/zenodo.10389956
title: Detailed Controller Synthesis and Laboratory Verification of a Matching-Controlled Grid-Forming Inverter for Microgrid  Applications

description: Figure5 Blackstart:BS->blackstartnoload/min/inter->Initial loadU4 -> Voltage waveformsUdq-> Voltage dq values

Figure6 Statdata_sati_voltage3 -> Current and voltage waveformsTHD -> THD valuesFigure7 Trans:

Trans4to7kwdq-> dq valuesTrans4to7kwPower->P and Q valuesTrans4to7kwUI->Waveforms

Figure8 DCSens:Test1-14 -> Tests corresponding to DC bus sensitivityp/i min/max -> identifier wether p or i value were increased/decreased

Figure9 ACsens:AC0-22 -> Tests corresponding to AC sensitivity
DOI: 10.5281/zenodo.10389957
title: Detailed Controller Synthesis and Laboratory Verification of a Matching-Controlled Grid-Forming Inverter for Microgrid  Applications

description: Figure5 Blackstart:BS->blackstartnoload/min/inter->Initial loadU4 -> Voltage waveformsUdq-> Voltage dq values

Figure6 Statdata_sati_voltage3 -> Current and voltage waveformsTHD -> THD valuesFigure7 Trans:

Trans4to7kwdq-> dq valuesTrans4to7kwPower->P and Q valuesTrans4to7kwUI->Waveforms

Figure8 DCSens:Test1-14 -> Tests corresponding to DC bus sensitivityp/i min/max -> identifier wether p or i value were increased/decreased

Figure9 ACsens:AC0-22 -> Tests corresponding to AC sensitivity
DOI: 10.26093/cds/aladin/3vnp-xxp
title: HLA-NII : F658N HiPS

description: The HST-HLA Hierarchical Progressive Survey (HiPS) has been built by Daniel Durand from CADC and distributed by CDS. It sets together all HST observations done in F658N filter between the beginning of the mission to the 4th of October 2014.The Hubble Space Telescope (HST) is a cooperative program of the European Space Agency (ESA) and the National Aeronautics and Space Administration (NASA) to operate a space-based observatory for the benefit of the international astronomical community. The Hubble Legacy Archive (HLA) is designed to optimize science from the Hubble Space Telescope by providing online, enhanced Hubble products and advanced browsing capabilities. The HLA is a joint project of the Space Telescope Science Institute (STScI), the Space Telescope European Coordinating Facility (ST-ECF), and the Canadian Astronomy Data Centre (CADC). Currently we have enhanced image products for ACS, WFPC2, WFC3, and NICMOS, extracted spectra from NICMOS and ACS grism observations. The enhanced data products were generated from the standard HST pipeline products. The ACS, WFPC2, and WFC3, and NICMOS images have been combined using MultiDrizzle, are aligned north up , and, except for WFC3, have been astrometrically corrected when possible (for approximately 80% of the cases). All HLA-produced images are in units of electrons/second, which for WFPC2 and NICMOS differs from calibration pipeline products; photometric zeropoints must be adjusted to reflect the units used.
DOI: 10.5281/zenodo.10361114
title: EPFL HPICONET_2010 11 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 11 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/11.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361115
title: EPFL HPICONET_2010 11 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 11 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/11.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361113
title: EPFL HPICONET_2010 12 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 12 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/12.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361112
title: EPFL HPICONET_2010 12 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 12 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/12.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361110
title: EPFL HPICONET_2010 10 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 10 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/10.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361111
title: EPFL HPICONET_2010 10 disdrometer station data

description: Disdrometer measurements of the EPFL HPICONET_2010 10 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/10.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .