cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7528001
title: A Daily High-Resolution (1 km) Human Thermal Index Collection over the North China Plain from 2003 to 2020

description: The daily <strong>Hi</strong>gh spatial resolution human <strong>T</strong>hermal <strong>I</strong>ndex <strong>C</strong>ollection over the <strong>North China Plain </strong>(<strong>HiTIC-NCP</strong>) includes <em><strong>near-surface air temperature</strong></em><strong> </strong>(SAT) and 11 commonly used<strong> </strong><em><strong>human-perceived temperature</strong></em><strong> </strong>indices: indoor Apparent Temperature (AT<sub>in</sub>), outdoor shaded Apparent Temperature (AT<sub>out</sub>), Discomfort Index (DI), Effective Temperature (ET), Heat Index (HI), Humidex (HMI), Modified Discomfort Index (MDI), Net Effective Temperature (NET), Wet-Bulb Temperature (WBT), simplified Wet-Bulb Globe Temperature (sWBGT), and Wind Chill Temperature (WCT). This daily dataset has a high spatial resolution of 1 km × 1 km and covers the North China Plain<strong> </strong>from January 2003 to December 2020. It has high accuracy with averaged determination coefficient, mean absolute error, and root mean squared error of 0.987, 0.970 °C, and 1.292 °C, respectively. The dataset is stacked by year and each stack consists of 365 daily images in NetCDF format by day of the year. The unit of the dataset is 0.01 degree Celsius (°C), and the values are stored in an integer type (Int16) to save storage space, and thus need to be divided by 100 to get the values in degree Celcius when in use. The geographic coordinate system of the dataset is World Geodetic System (WGS) 1984 Coordinate System. Naming rules and other details can be found in "README.pdf". If you have any questions when using the HiTIC-NCP dataset, please feel free to contact Mr. Xiang Li via lixiang97@mail2.sysu.edu.cn, Dr. Ming Luo via luom38@mail.sysu.edu.cn, or Dr. Yongquan Zhao via yqzhao@link.cuhk.edu.hk. More details on the procedure of producing the HiTIC-NCP dataset and its accuracy assessment can be found in: Li, X., Luo, M*., Zhao, Y*., Zhang, H., Ge, E., Huang, Z., Wu, S., Wang, P., Wang X., Tang Y. (2023). A daily high-resolution (1 km) human thermal index collection over the North China Plain from 2003 to 2020. <em>Scientific Data</em>, 10, 634. https://doi.org/10.1038/s41597-023-02535-y
DOI: 10.5281/zenodo.7513708
title: A Daily High-Resolution (1 km) Human Thermal Index Collection over the North China Plain from 2003 to 2020

description: The daily <strong>Hi</strong>gh spatial resolution human <strong>T</strong>hermal <strong>I</strong>ndex <strong>C</strong>ollection over the <strong>North China Plain </strong>(<strong>HiTIC-NCP</strong>) includes <em><strong>near-surface air temperature</strong></em><strong> </strong>(SAT) and 11 commonly used<strong> </strong><em><strong>human-perceived temperature</strong></em><strong> </strong>indices: indoor Apparent Temperature (AT<sub>in</sub>), outdoor shaded Apparent Temperature (AT<sub>out</sub>), Discomfort Index (DI), Effective Temperature (ET), Heat Index (HI), Humidex (HMI), Modified Discomfort Index (MDI), Net Effective Temperature (NET), Wet-Bulb Temperature (WBT), simplified Wet-Bulb Globe Temperature (sWBGT), and Wind Chill Temperature (WCT). This daily dataset has a high spatial resolution of 1 km × 1 km and covers the North China Plain<strong> </strong>from January 2003 to December 2020. It has high accuracy with averaged determination coefficient, mean absolute error, and root mean squared error of 0.987, 0.970 °C, and 1.292 °C, respectively. The dataset is stacked by year and each stack consists of 365 daily images in NetCDF format by day of the year. The unit of the dataset is 0.01 degree Celsius (°C), and the values are stored in an integer type (Int16) to save storage space, and thus need to be divided by 100 to get the values in degree Celcius when in use. The geographic coordinate system of the dataset is World Geodetic System (WGS) 1984 Coordinate System. Naming rules and other details can be found in "README.pdf". If you have any questions when using the HiTIC-NCP dataset, please feel free to contact Mr. Xiang Li via lixiang97@mail2.sysu.edu.cn, Dr. Ming Luo via luom38@mail.sysu.edu.cn, or Dr. Yongquan Zhao via yqzhao@link.cuhk.edu.hk. More details on the procedure of producing the HiTIC-NCP dataset and its accuracy assessment can be found in: Li, X., Luo, M*., Zhao, Y*., Zhang, H., Ge, E., Huang, Z., Wu, S., Wang, P., Wang X., Tang Y. (2023). A daily high-resolution (1 km) human thermal index collection over the North China Plain from 2003 to 2020. <em>Scientific Data</em>, 10, 634. https://doi.org/10.1038/s41597-023-02535-y
DOI: 10.17632/tjwghkfm4z.1
title: Data file "Pedogenic controls of soil organic carbon stocks and stability beneath montane Norway spruce forests along a precipitation gradient"

description: See Heliyon article by Bösch, R., Laux, M. & Wenzel, W.W. with the same title
DOI: 10.5281/zenodo.7763524
title: Data used in the paper: Hard traits (pigments and chlorophyll a fluorescence) as a tool for understanding the interaction between plant growth and topography in restoration

description: This repository contains original values of relative growth rates (RGR), leaf traits, UTM coordinates, and topography features used in the article "Hard traits (pigments and chlorophyll a fluorescence) as a tool for understanding the interaction between plant growth and topography in restoration". <em>Trees – Structure and Function</em> Description of files: (1) "Data_five_individuals.csv": Original values of relative growth rates (RGR), leaf traits, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD, soil-level diameter; CS, canopy size. Leaf traits: SLA, specific leaf area; Car, total carotenoids; Chl <em>a</em>+<em>b</em>, chlorophyll <em>a</em>+<em>b</em>; Chl <em>a</em>/<em>b</em>, chlorophyll <em>a</em>/<em>b</em> ratio; Chl <em>a</em>+<em>b</em>/Car, chlorophyll <em>a</em>+<em>b</em>/total carotenoids; Fv/Fm, maximum quantum yield of PSII; Fv/F0, variable fluorescence to minimum fluorescence; qP, photochemical quenching; NPQ, rapid reversible non-photochemical quenching. (2) Original values of relative growth rates (RGR), UTM coordinates, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD, soil-level diameter; CS, canopy size.
DOI: 10.5281/zenodo.7886716
title: Data used in the paper: Hard traits (pigments and chlorophyll a fluorescence) as a tool for understanding the interaction between plant growth and topography in restoration

description: This repository contains original values of relative growth rates, leaf traits, UTM coordinates, and topography features used in the article "Hard traits (pigments and chlorophyll a fluorescence) as a tool for understanding the interaction between plant growth and topography in restoration". Description of files: (1) "Data_five_individuals.csv": Original values of relative growth rates, leaf traits, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size. Leaf traits: SLA, specific leaf area; Car, total carotenoids; Chlab, total chlorophyll; Chlab<em>.</em>Car, total chlorophyll/total carotenoids; Fv.Fm, the maximum quantum yield of PSII; Fv.F0, variable fluorescence to minimum fluorescence; qP, photochemical quenching; NPQ, rapid reversible non-photochemical quenching. (2) Original values of relative growth rates, UTM coordinates, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size.
DOI: 10.5281/zenodo.7763523
title: Data used in the paper: Topography imposes an abiotic filter on tree growth in a restored area

description: This repository contains original values of relative growth rates, leaf traits, UTM coordinates, and topography features used in the article " Topography imposes an abiotic filter on tree growth in a restored area ". <em>Theoretical and Experimental Plant Physiology</em> Description of files: (1) "Data_five_individuals.csv": Original values of relative growth rates, leaf traits, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size. Leaf traits: SLA, specific leaf area; Car, total carotenoids; Chlab, total chlorophyll; Chlab<em>.</em>Car, total chlorophyll/total carotenoids; Fv.Fm, the maximum quantum yield of PSII; Fv.F0, variable fluorescence to minimum fluorescence; qP, photochemical quenching; NPQ, non-photochemical quenching. (2) "Data_ten_individuals.csv": Original values of relative growth rates, UTM coordinates, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size.
DOI: 10.5281/zenodo.8380208
title: Data used in the paper: Topography imposes an abiotic filter on tree growth in a restored area

description: This repository contains original values of relative growth rates, leaf traits, UTM coordinates, and topography features used in the article " Topography imposes an abiotic filter on tree growth in a restored area ". <em>Theoretical and Experimental Plant Physiology</em> Description of files: (1) "Data_five_individuals.csv": Original values of relative growth rates, leaf traits, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size. Leaf traits: SLA, specific leaf area; Car, total carotenoids; Chlab, total chlorophyll; Chlab<em>.</em>Car, total chlorophyll/total carotenoids; Fv.Fm, the maximum quantum yield of PSII; Fv.F0, variable fluorescence to minimum fluorescence; qP, photochemical quenching; NPQ, non-photochemical quenching. (2) "Data_ten_individuals.csv": Original values of relative growth rates, UTM coordinates, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size.
DOI: 10.5281/zenodo.8380269
title: Data used in the paper: Topography imposes an abiotic filter on tree growth in a restored area

description: This repository contains original values of relative growth rates, leaf traits, UTM coordinates, and topography features used in the article " Topography imposes an abiotic filter on tree growth in a restored area ". <em>Theoretical and Experimental Plant Physiology</em> Description of files: (1) "Data_five_individuals.csv": Original values of relative growth rates, leaf traits, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size. Leaf traits: SLA, specific leaf area; Car, total carotenoids; Chlab, total chlorophyll; Chlab<em>.</em>Car, total chlorophyll/total carotenoids; Fv.Fm, the maximum quantum yield of PSII; Fv.F0, variable fluorescence to minimum fluorescence; qP, photochemical quenching; NPQ, non-photochemical quenching. (2) "Data_ten_individuals.csv": Original values of relative growth rates, UTM coordinates, and topography features measured for each species in each slope aspect (north and south) in the studied hill. Relative Growth Rates: H.RGR, height; SLD.RGR, soil-level diameter; CS.RGR, canopy size.
DOI: 10.60621/cava-aw.campaign.2021.2022.caboverde
title: JATAC/CAVA-AW Aeolus Cal/Val airborne campaign dataset

description: Light aircraft (WT10 - experimental) with position and windspeed variables provided by onboard GPS, as well as additional meteorological sensors. The aircraft was mounted with a: a sunshine pyranometer type SPN1 (Delta-T Devices Ltd), a polar integrating nephelometer AURORA 4000 (Ecotech Pty Ltd), and had a dual sampling line aircraft for measurements at the fine and coarse fraction of the absorption by two Continuous Light Absorption Photometer (CLAPS, by Haze Instruments d.o.o.) and the particle size distribution by two optical particle counters (OPC, model 11D, GRIMM Technologies). The pyranometer provides measurements of the global, direct and diffuse irradiance for a radiation spectrum range between 400 and 2700nm with a 1s time resolution. The polar integrating nephelometer measures the scattering coefficients of particles at three wavelengths (450, 525 and 635 nm) and multiple angles (two selected for the campaign: 0, 90deg) with a 5s time resolution. The CLAP photometers measure the absorption coefficient by aerosol particles at three wavelengths (467, 529 and 653 nm) with a 1s time resolution. The OPC measurements provide the number and mass concentration of aerosol particles for 31 bins in the size range between 0.253 and 35.15 micrometers with a 6s time resolution.
DOI: 10.17632/kbg6tb7yv7.1
title: Unveiling Soil Metazoa Community Dynamics in Taklimakan Desert Ecosystem: Vertical Profile Variations beneath Four Dominant Shrub Species

description: 18S-High throughput sequesncing datasets for metazoa. This data set is combine data set for eukaryotes (metazoa and protists)
DOI: 10.21227/gczg-nc15
title: DATASET FOR: A SYSTEMATIC LITERATURE REVIEW ON SOTIF for ADS

description: This dataset provides the data collected in the scope of a Systematic Literature Review (SLR) study that focuses on systematically gather and analyse the existing literature on SOTIF published during 2018-2023. By performing a SLR on SOTIF, we have determine the factors associated with the successful implementation of SOTIF measures, the challenges arise when ensuring SOTIF for ADSs, and research gaps from the SLR of existing literature on SOTIF. The dataset can be useful for the researchers and practitioners. The dataset contains the implementation files of SLR including: 1) developing the search strategy 2) defining exclusion criteria 3) conducting the selection process (including identification, screening, and quality assessment), and 4) data extraction.
DOI: 10.17632/n9hmmfpbr3.1
title: The impact of neighborhood safety on the anxiety levels of prehospital emergency care professionals - a research article

description: Demographic info and staı scores were given in spss and excel
DOI: 10.17632/f35c6xzzcm.2
title: Open STM: A low-cost scanning tunneling microscope with a fast approach method

description: In this paper, we have designed a low-cost scanning tunneling microscope (STM) priced at 300 USD or 2000 CNY. This microscope is suitable for educational purposes and low-demand research imaging at the nanometer level. This microscope's motion components and scanner are controlled using piezoelectric materials, avoiding the thermal drift associated with traditional motor control. Our tip approach algorithm, which considers the capacitance and friction characteristics during piezoelectric slider movement, has reduced the time required for sample loading to establish tunneling current to approximately 1 minute. The dimensions of the microscope body are 45×45×31.5mm(W ×L×H), and the control voltage does not exceed 15V, ensuring the safety of operators with limited experience. In the performance verification, we performed a scanning tunneling scan on a Highly Oriented Pyrolytic Graphite(HOPG) sample with bias voltages of 50mV and 60mV, resulting in clear observations of the atomic features of HOPG in the STM pattern. • 3D Models The STM body is predominantly manufactured through CNC machining of aluminum blocks. A total of 7 components need to be machined. We provide the original Solidworks design and STEP files for manufacturing in this folder. Drill information is documented in the corresponding PDF files. • PCB The STM includes eight PCBs, three utilized for the microscope's control unit, one for the pre-amplifier, and four for circuitry interconnection. The PCBs were designed using EasyEDA(Or JLC EDA in China), and this folder includes project files, schematics, and Gerber files for PCB manufacturing. • HardwareCode The central controller for the circuit control section employs the ESP32-WROOM-32E-N8 microcontroller module. This folder contains the microcontroller firmware and source code (written using the ESP-IDF framework with PlatformIO). • PythonScript This folder includes supervisory software written in Python. Install the libraries(with specific versions) and launch the software by running “launch.bat” or via the command line “python main.py”. All software source code(/PythonScript) is licensed under GPLv3. (https://www.gnu.org/licenses/gpl-3.0.en.html) Everything else is licensed under CC-BY-SA-4.0. (https://creativecommons.org/licenses/by-sa/4.0)
DOI: 10.17632/sjjs6sbn3b.1
title: Educational experience based on Based Learning in Projects (ABP) in the context of the subject: Recreation, Sports and Disability

description: Esta data contiene una comunicación de categoría propuesta prácticas inspiradoras de universidades inclusivas para un congreso La asignatura "Recreación, Deporte y Discapacidad" es una disciplina crucial que busca fomentar la inclusión y el bienestar de personas con diversidad funcional a través de actividades deportivas y recreativas. Bajo el enfoque innovador, nos sumergimos en el mundo del Aprendizaje Basado en Proyectos en el contexto de la asignatura "Recreación, Deporte y Discapacidad", explorando sus beneficios, desafíos y potencial para brindar una educación inclusiva y de calidad. Podemos identificar diversas implicaciones beneficiosas para los participantes de la asignatura
DOI: 10.6084/m9.figshare.24199125
title: example.bam

description: Small bam file for testing purposes
DOI: 10.6084/m9.figshare.24199125.v1
title: example.bam

description: Small bam file for testing purposes
DOI: 10.5281/zenodo.8263434
title: Datasets for storyline case study for Hurricane Ian rainfall

description: Dataset for results in paper.
DOI: 10.5281/zenodo.8263433
title: Datasets for storyline case study for Hurricane Ian rainfall

description: Dataset for results in paper.
DOI: 10.17632/y9bmtf4xmr.1
title: SorghumWeedDataset_Segmentation

description: Purpose of dataset creation: ‘SorghumWeedDataset_Segmentation’ is created to address real-time weed challenges precisely and encourage weed research using computer vision applications. About the dataset: ‘SorghumWeedDataset_Segmentation’ is a crop-weed research dataset with 5555 manually pixel-wise annotated data segments from 252 data samples which can be used for object detection, instance segmentation, and semantic segmentation. The data segments consist of sorghum samplings (Class 0), Grasses (Class 1), and Broad-leaf weeds (Class 2) which are the three research objects focused during this data acquisition process. The TVT (Train: Validate: Test) ratio is set as 8:1:1 to split the data samples into training, validation, and testing. The ground truth preparation is carried out by manually annotating the data segments pixel-wise, using VIA (VGG Image Annotator) software. The respective annotation files for training, validation, and testing are provided in JSON, CSV, and COCO formats. Equipment used for data acquisition: To record a rich set of information on the research objects, a state-of-the-art instrument - Canon EOS 80D – a Digital Single Lens Reflex (DSLR) camera with a sensor type of 22.3mm x 14.9 mm CMOS is used. Data type, format, and size: Each data sample is an RGB image represented in JPEG format with 6000 × 4000 pixels making an average size of 13MB. This rich set of information from the data sample assisted in annotating data segments of plant length lesser than 0.5cm. Temporal coverage: Data is acquired during April and May 2023. To generalize the dataset, data is acquired in various light and weather conditions with varying distances. Geographical coverage: Data is acquired from Sri Ramaswamy Memorial (SRM) Care Farm, Chengalpattu district, Tamil Nadu, India. To the best of our knowledge, ‘SorghumWeedDataset_Segmentation’ is the first open-access crop-weed research dataset from Indian fields for segmentation that deals with weed issues in uniform and random crop-spacing fields. Expected outcome: The expected outcome of this dataset will be an Artificial Intelligence (AI) model that localizes and segments all the research objects present in a particular data sample. Detailed description: A detailed description of the dataset and data acquisition process is given in the data article entitled “ ‘SorghumWeedDataset_Classification’ And ‘SorghumWeedDataset_Segmentation’ Datasets For Classification, Detection, and Segmentation In Deep Learning “. (Submitted in the journal ‘Data in Brief’ on 25/09/2023 and awaiting publication) Citation: If you find this dataset helpful and use it in your work, kindly cite this dataset using “Michael, Justina; M, Thenmozhi (2023), “SorghumWeedDataset_Segmentation”, Mendeley Data, V1, doi: 10.17632/y9bmtf4xmr.1” Further queries: If any queries/suggestions concerning this dataset, please e-mail us at thenmozm@srmist.edu.in [corresponding author]
DOI: 10.6084/m9.figshare.24199119
title: Data of Load Torque Observation and Compensation for Permanent Magnet Synchronous Motor Based on Sliding Mode Observer

description: Data of Load Torque Observation and Compensation for Permanent Magnet Synchronous Motor Based on Sliding Mode Observer.
DOI: 10.5281/zenodo.8380273
title: Climate change effects on animal presence in the Massaciuccoli Lake hydrographic basin

description: Data of the "Climate change effects on animal presence in the Massaciuccoli Lake hydrographic basin" by Coro et al. 2023
DOI: 10.5281/zenodo.8380272
title: Climate change effects on animal presence in the Massaciuccoli Lake hydrographic basin

description: Data of the "Climate change effects on animal presence in the Massaciuccoli Lake hydrographic basin" by Coro et al. 2023
DOI: 10.17632/pp3g267hny.1
title: Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries

description: Firm-level data from 2009 to 2018 of 34 large gold mines in Developing countries. The data is used to compute the deterministic, dynamic environmental and technical efficiencies of large gold mines in developing countries.