cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/777b0e3c9bc613c54cb52387b9e8d875
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-8 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/02b62da0010dbf16abf1ececbd75c92c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-8 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-8 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6073/pasta/59bfbcce2b7697b5b62b4466a242daba
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/3b1b5107db8f6b9a97341fc0ca13a466
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.15161/oar.it/75406
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated..
DOI: 10.6073/pasta/0fbac77fc815a629a4685c07ce993a33
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-9. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-9 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/e7fe0716fa934db2758ad4d1c326bd90
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-9. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/4efef2ec644dfbb92b2f099c832206e7
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/fcfcf89a41513855554f5c666cdd3113
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-9 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6084/m9.figshare.13531436
title: Test data for pre-trained DFCAN and DFGAN models

description: Some test data for DFCAN and DFGAN models of F-actin and microtubule data. You can read our Nature Methods paper "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (https://doi.org/10.1038/s41592-020-01048-5) for more information about DFCAN and DFGAN.
DOI: 10.5281/zenodo.6402965
title: RF recording from the QB50-ISS cubesats from 2017-05-29

description: This dataset contains an IQ recording of the telemetry signals of many of the QB50 project cubesats. The recording was done on 2017-05-29 18:25:29 UTC, shortly after several cubesats were released from the ISS. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable. The recording is 3 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format. More information about this recording can be found in the post "A tour of QB50" by the author.
DOI: 10.5281/zenodo.6402964
title: RF recording from the QB50-ISS cubesats from 2017-05-29

description: This dataset contains an IQ recording of the telemetry signals of many of the QB50 project cubesats. The recording was done on 2017-05-29 18:25:29 UTC, shortly after several cubesats were released from the ISS. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable. The recording is 3 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format. More information about this recording can be found in the post "A tour of QB50" by the author.
DOI: 10.5281/zenodo.6403199
title: RF recording of PSLV 2018-004 launch cubesats

description: This dataset contains an IQ recording of the telemetry signals of the cubesats from the PSLV 2018-004 launch from 2018-01-12. The recording was done on 2018-01-13 09:54:46 UTC, some 30 hours after the launch. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable. The recording is 4 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format. More information about this recording can be found in the post "Decoding satellites from the PSLV 2018-004 launch" by the author.
DOI: 10.5281/zenodo.6403198
title: RF recording of PSLV 2018-004 launch cubesats

description: This dataset contains an IQ recording of the telemetry signals of the cubesats from the PSLV 2018-004 launch from 2018-01-12. The recording was done on 2018-01-13 09:54:46 UTC, some 30 hours after the launch. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable. The recording is 4 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format. More information about this recording can be found in the post "Decoding satellites from the PSLV 2018-004 launch" by the author.
DOI: 10.34820/fk2/2fkuwm/rxeu1m
title: Leady A Multisensory Approach in Mobapp for Dyslexic Children_COMMIT_2021.pdf

description: :unav
DOI: 10.34820/fk2/2fkuwm
title: Leady: A Multisensory Approach in Mobile Application for Dyslexic Children

description: Leady: A Multisensory Approach in Mobile Application for Dyslexic Children
DOI: 10.5519/qd.w398n5oi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34820/fk2/k9hgc8/tbaoie
title: Dataset Website Atmosphere, Perceived Flow and Its Impact.tab

description: :unav
DOI: 10.34820/fk2/k9hgc8
title: Dataset Website Atmosphere, Perceived Flow and Its Impact On Purchase Intention

description: Dataset Penelitian Website Atmosphere, Perceived Flow and Its Impact On Purchase Intention
DOI: 10.34820/fk2/hc40v1/ajnfdp
title: 6661-Article Text-39473-1-10-20210527.pdf

description: Leady: A Multisensory Approach in Mobile Application for Dyslexic Children
DOI: 10.34820/fk2/hc40v1
title: Leady: A Multisensory Approach in Mobile Application for Dyslexic Children

description: Leady: A Multisensory Approach in Mobile Application for Dyslexic Children
DOI: 10.34740/kaggle/dsv/3396622
title: US Board on Geographic Names
DOI: 10.34820/fk2/kiq4u8/qefdi3
title: Ultrasonic Sensor Robot Data.tab

description: :unav
DOI: 10.34820/fk2/kiq4u8
title: Wall Following using Ultrasonic Sensor for Robot Cleaner

description: The investigation of indoor navigation system presents an intriguing study especially in the field of floor cleaning robot research. Experiments involving wall detection and motion control test demonstrate that the robot can be implemented for domestic purpose. This experiment is conducted for verifying the performance of ultrasonic sensor. Robot is placed near the wall and the sensor value output is observed. The robot is tested in ten points along the wall. The test is performed to evaluate sensor accuracy while maintaining close proximity to the wall. This hallway provides a challenging task for the robot since the distance between robot and wall is not constant. While the hallway wide is about 2 meter, the doors and building concrete column are expected to provide various sensor measurement result. The result shows relative linear association of actual distance with sensor value. First column of the table conveys sensor 1 distance measurement data from ten points along hallway. The average measured distance value is 38.928 cm. While the real distance value between robot and wall is 40 cm, the average distance error is 1.072 cm. Another result from the observation was that sensor 2, 3 and 4 measurement data has provided slightly better accuracy than other sensors with error margin 0.074, 0.01, and 0.302 respectively.
DOI: 10.5281/zenodo.6408105
title: SILICOFCM_Virtual population_bi-ventricles heart geometries

description: SILICOFCM HCM (hypertrophic cardiomyopathy) baseline bi-ventricle geometry 3D reconstructed from medical imaging (STL files). This dataset contains 20 generated virtual geometries utilizing the geometry morphing tool integrated in the SILICOFCM Virtual Population Module. The dataset can be utilized for FE (Finite Element) modeling and simulations.
DOI: 10.5281/zenodo.6408104
title: SILICOFCM_Virtual population_bi-ventricles heart geometries

description: SILICOFCM HCM (hypertrophic cardiomyopathy) baseline bi-ventricle geometry 3D reconstructed from medical imaging (STL files). This dataset contains 20 generated virtual geometries utilizing the geometry morphing tool integrated in the SILICOFCM Virtual Population Module. The dataset can be utilized for FE (Finite Element) modeling and simulations.
DOI: 10.5281/zenodo.6408120
title: Madrid Real State Pricing

description: <strong>The fields presents in the dataset are the following</strong> <strong>price: Accommodation price (in Euros).</strong> <strong>bedrooms: Number of Bedrooms.</strong> <strong>bathrooms: Number of Bathrooms.</strong> <strong>sqm: Squared meters of the accommodation.</strong> <strong>floor: Floor number.</strong> <strong>type: Accommodation type. </strong> <strong>orientation: Orientation of the accommodation.</strong> <strong>condition: Condition of the accommodation.</strong> <strong>hot water: The way to obtain hot water.</strong> <strong>elevator: If is present a elevator in the building.</strong>
DOI: 10.5281/zenodo.6408119
title: Madrid Real State Pricing

description: <strong>The fields presents in the dataset are the following</strong> <strong>price: Accommodation price (in Euros).</strong> <strong>bedrooms: Number of Bedrooms.</strong> <strong>bathrooms: Number of Bathrooms.</strong> <strong>sqm: Squared meters of the accommodation.</strong> <strong>floor: Floor number.</strong> <strong>type: Accommodation type. </strong> <strong>orientation: Orientation of the accommodation.</strong> <strong>condition: Condition of the accommodation.</strong> <strong>hot water: The way to obtain hot water.</strong> <strong>elevator: If is present a elevator in the building.</strong>
DOI: 10.5281/zenodo.6408160
title: SILICOFCM_Virtual patients repository_clinical features

description: Generation of a virtual dataset based on one of the integrated virtual generators into the SILICOFCM platform. The dataset contains 1000 virtually generated patients with 20 virtually generated clinical features by the real dataset of SILICOFCM: age, sex, NYHA class, systolic pressure, diastolic pressure, syncope, heart murmurs, left ventricular ejection fraction (LVEF or EFLV), left ventricular internal dimension at end-diastole (LVIDd), left ventricular internal dimension at end systole (LVIDs), intraventricular septal thickness at end-diastole (IVSd), posterior wall thickness at end-diastole (PLWd), endsystolic volume of left ventricle (SVLV), left ventricular outflow tract maximum pressure gradient (maxLVOTPG), Doppler E/E’ ratio (EE), body to mass index (BMI), left atrium size (LA), Alanine aminotransferase (ALT), aorta size (AO), and aortic valve (AV). The dataset can be utilized for Machine Learning modeling.
DOI: 10.5281/zenodo.6408159
title: SILICOFCM_Virtual patients repository_clinical features

description: Generation of a virtual dataset based on one of the integrated virtual generators into the SILICOFCM platform. The dataset contains 1000 virtually generated patients with 20 virtually generated clinical features by the real dataset of SILICOFCM: age, sex, NYHA class, systolic pressure, diastolic pressure, syncope, heart murmurs, left ventricular ejection fraction (LVEF or EFLV), left ventricular internal dimension at end-diastole (LVIDd), left ventricular internal dimension at end systole (LVIDs), intraventricular septal thickness at end-diastole (IVSd), posterior wall thickness at end-diastole (PLWd), endsystolic volume of left ventricle (SVLV), left ventricular outflow tract maximum pressure gradient (maxLVOTPG), Doppler E/E’ ratio (EE), body to mass index (BMI), left atrium size (LA), Alanine aminotransferase (ALT), aorta size (AO), and aortic valve (AV). The dataset can be utilized for Machine Learning modeling.
DOI: 10.6084/m9.figshare.19500164
title: BCM_AGRO_DATA

description: The data collected by the Texas Panhandle Region including dairy and cattle BCM data<br>
DOI: 10.6084/m9.figshare.19500164.v1
title: BCM_AGRO_DATA

description: The data collected by the Texas Panhandle Region including dairy and cattle BCM data<br>
DOI: 10.6084/m9.figshare.19500167
title: Data_Bioethics_2019_Anand.xlsx

description: Knowledge and Attitude Regarding Bioethics.
DOI: 10.6084/m9.figshare.19500167.v1
title: Data_Bioethics_2019_Anand.xlsx

description: Knowledge and Attitude Regarding Bioethics.
DOI: 10.5281/zenodo.6408099
title: Lithophaga nigra SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6408098
title: Lithophaga nigra SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6408176
title: Pyrrhura egregia decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6408175
title: Pyrrhura egregia decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3396944
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/3396970
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6408250
title: Buteo nitidus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6408249
title: Buteo nitidus decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.9155768.v1
title: Data from the manuscript:"The effect of plant-plant interactions as a key biotic process mediating the spatial variation of phenotypes in a Pinus sylvestris forest"

description: There are five spreadsheets with data. The "Pines data" spreadsheet contains raw data for architectural traits of pines (tree height, crown area and DBH), data of age and geografical coordinates for each tree. The "Env.data" spreadsheet contains environmetal information which characterizes each plot as vegetation, rock, bare soil and leaf litter. The "Soil data" spreadsheet contains all information about soil physical and chemical properties. The "ring widths" spreadsheet contains widths values for each ring measured. The "coord.center" spreadsheet contains geographical coordinates for the center point of each plot. Before "Env.data" and "coord.center" spreadsheets, there is a spreadsheet with the associated metadata.
DOI: 10.6084/m9.figshare.9155768
title: Data from the manuscript:"The effect of plant-plant interactions as a key biotic process mediating the spatial variation of phenotypes in a Pinus sylvestris forest"

description: There are five spreadsheets with data. The "Pines data" spreadsheet contains raw data for architectural traits of pines (tree height, crown area and DBH), data of age and geografical coordinates for each tree. The "Env.data" spreadsheet contains environmetal information which characterizes each plot as vegetation, rock, bare soil and leaf litter. The "Soil data" spreadsheet contains all information about soil physical and chemical properties. The "ring widths" spreadsheet contains widths values for each ring measured. The "coord.center" spreadsheet contains geographical coordinates for the center point of each plot. Before "Env.data" and "coord.center" spreadsheets, there is a spreadsheet with the associated metadata.
DOI: 10.5281/zenodo.6408266
title: Iris sibirica decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6408265
title: Iris sibirica decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6408282
title: Kryptolebias ocellatus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6408281
title: Kryptolebias ocellatus decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3397171
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6402734
title: Data-Driven Computational Intelligence Applied to Forecast Dengue Outbreaks: a case study in the city of Natal, RN- Brazil

description: <strong>The dataset comprises survey data from the following sources:dengue_incidence_data.csv: public data provided by Municipal Health Department of Natal, State of Rio Grande do Norte, Brazil; and data of Brazilian Notifiable Diseases Information System (Sinan). The objective of this paper was to analyze incidence data of dengue cases registered in each neighborhood of Natal city, weekly sampled (52 epidemiological weeks a year) between 2016 – 2019). </strong>
description: {"references": ["Brazil (2020). Brazilian Notifiable Diseases Information System (Sinan). Home page Available from: .http://portalsinan.saude.gov.br/o-sinan"]}