cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3608634
title: Collection of global datasets for the study of floods, droughts and their interactions with human societies

description: This is a collection of 124 global and free datasets allowing for spatial (and temporal) analyses of floods, droughts and their interactions with human societies. We have structured the datasets into seven categories: hydrographic baseline, hydrological dynamics, hydrological extremes, land cover & agriculture, human presence, water management, and vulnerability. Please refer to Lindersson et al. (accepted february 2020 in WIREs Water) for further information about review methodology. The collection is a descriptive list, holding the following information for each dataset: Category<em> - as structured in Lindersson et al. (in preparation).</em> Sub-category<em>- as structured in Lindersson et al. (in preparation).</em> Abbreviation - <em>official or as specified in Lindersson et al. (in preparation).</em> Title <em>- full title of dataset.</em> Product(s)<em> - type of product(s) offered by the dataset.</em> Period<em> - time period covered by the dataset, not defined for all datasets.</em> Temporal resolution<em> - not defined for static datasets.</em> Angular spatial resolution<em> - only defined for gridded datasets.</em> Metric spatial resolution <em>- only defined for gridded datasets.</em> Map scale Extent<em> - geographic coverage of dataset given in latitude limits.</em> Description Creating institute(s) Data type<em> - raster, vector or tabular.</em> File format Primary EO type<em> - specifies if the product primarily is based on remote sensing, ground-based data, or a hybrid between remote sensing and ground-based data.</em> Data sources<em> - lists the data sources behind the dataset, to the extent this is feasible.</em> Data sources also in this table<em> - data sources that are also included as datasets in this collection.</em> Intentionally compatible with<em> - defines other datasets in this collection that the dataset is intentinoally compatible with.</em> Citation<em> - dataset reference or credit.</em> Documentation <em>- dataset documentation.</em> Web address<em> - dataset access link.</em> NOTE: Carefully consult the data usage licenses as given by the data providers, to assure that the exact permissions and restrictions are followed.
DOI: 10.5281/zenodo.3608823
title: Table S3. List of Locustella sound recordings included in bioacoustic analysis surrounding description of the Taliabu Grasshopper-Warbler. The table provides information on sound library sources and sampling localities of recordings as well as raw data on all 11 bioacoustic parameters measured (see Supplementary Materials section SM3 for more details on parameters). Recordings whose source is labeled as "private recording" were obtained by colleagues and are available upon demand from the corresponding author.

description: supplement to Rheindt, Frank E., Prawiradilaga, Dewi M., Ashari, Hidayat, Suparno, Gwee, Chyi Yin, Lee, Geraldine W. X., Wu, Meng Yue, Ng, Nathaniel S. R. (2020): A lost world in Wallacea: Description of a montane archipelagic avifauna. Science 367: 167-170, DOI: 10.1126/science.aax2146
DOI: 10.5281/zenodo.3608824
title: Table S3. List of Locustella sound recordings included in bioacoustic analysis surrounding description of the Taliabu Grasshopper-Warbler. The table provides information on sound library sources and sampling localities of recordings as well as raw data on all 11 bioacoustic parameters measured (see Supplementary Materials section SM3 for more details on parameters). Recordings whose source is labeled as "private recording" were obtained by colleagues and are available upon demand from the corresponding author.

description: supplement to Rheindt, Frank E., Prawiradilaga, Dewi M., Ashari, Hidayat, Suparno, Gwee, Chyi Yin, Lee, Geraldine W. X., Wu, Meng Yue, Ng, Nathaniel S. R. (2020): A lost world in Wallacea: Description of a montane archipelagic avifauna. Science 367: 167-170, DOI: 10.1126/science.aax2146
DOI: 10.5281/zenodo.3609001
title: Flight data

description: Flight data by several users as registered on the website Logmyflight
DOI: 10.5281/zenodo.3609002
title: Flight data

description: Flight data by several users as registered on the website Logmyflight
DOI: 10.5281/zenodo.3607960
title: Brainport, Highway pilot, road side camera detection

description: <strong>Scenario description</strong>: The road side camera detects objects (obstacle) on the test track and publishes the ANO IoT message. <strong>Session description</strong>: 10 minute observation of a section of the Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors
DOI: 10.5281/zenodo.3607966
title: Brainport, Highway pilot, detection car reference laps

description: <strong>Scenario description</strong>: The detection car drives around the track in manual mode, at an average speed close to laps for detections, but with all detections systems disabled. <strong>Session description</strong>: 25 laps with VW Tiguan on Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors
DOI: 10.5281/zenodo.3607967
title: Brainport, Highway pilot, detection car reference laps

description: <strong>Scenario description</strong>: The detection car drives around the track in manual mode, at an average speed close to laps for detections, but with all detections systems disabled. <strong>Session description</strong>: 25 laps with VW Tiguan on Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors
DOI: 10.5281/zenodo.3607980
title: Brainport, Highway pilot, detection car, manual mode, camera and IMU detection on

description: <strong>Scenario description</strong>: The detection car drives around the track in manual mode, with Camera and IMU detection ON. <strong>Session description</strong>: 25 laps with VW Tiguan on Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors
DOI: 10.5281/zenodo.3607981
title: Brainport, Highway pilot, detection car, manual mode, camera and IMU detection on

description: <strong>Scenario description</strong>: The detection car drives around the track in manual mode, with Camera and IMU detection ON. <strong>Session description</strong>: 25 laps with VW Tiguan on Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors
DOI: 10.25345/c5n68h
title: MassIVE MSV000084808 - GNPS Streptomyces miharaensis 23.4
title: streptomyces miharaensis 23.4 isolated from soil sample collected from waterline in malaysia
DOI: 10.5281/zenodo.3607991
title: Brainport, Highway pilot, driving adaptation at hazards locations

description: <strong>Scenario description</strong>: The driving adaptation car drives around the track in simulated autonomous mode (ACC) and applies ADASINs at Hazards locations. <strong>Session description</strong>: 25 laps with Jaguar F-Pace on Automotive Campus Test Track <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_HighwayPilot_AdasCommand</strong>: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_Anomaly</strong>: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road <strong>AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage</strong>: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies <strong>AUTOPILOT_BrainPort_HighwayPilot_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus,clutchstatus,brakestatus,brakeforce,wipersstatus,steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_HighwayPilot_Hazard</strong>: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards <strong>AUTOPILOT_BrainPort_HighwayPilot_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle. <strong>AUTOPILOT_BrainPort_HighwayPilot_PositioningSystem</strong>: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_HighwayPilot_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_HighwayPilot_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors