cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.07548
title: Simulated motor unit action potentials (MUAPs) for right forearm model
title: Simulated motor unit action potentials (MUAPs) for right forearm model

description: This dataset consist of 4 pickle files containing model parameters for motor unit action potentials (MUAPs) simulation as well as corresponding MUAPs. The simulation was performed with Neurodec's Myoelectric Digital Twin Software (http://neurodec.ai/).How to access data in python:import pickleimport numpywith open('model_0.pkl', 'rb') as f:  model = pickle.load(f)The model is a simple structure of lists and dictionaries of the following structure:MODEL|_ properties |_ sampling_frequency |_ recruitment_rate |_ excitation_frequency_limits |_ tissue_conductivities |_ muscles |_ bones |_ fat |_ skin|_ electrodes |_ electrode_centers |_ electrode_radii |_ electrode_normals|_ skin |_ surface |_ vertices |_ triangles|_ [bones] |_ surface |_ vertices |_ triangles|_ [muscles] |_ label |_ surface |_ vertices |_ triangles |_ [motor_units] |_ [fibers] |_ tendon_1_ratio |_ tendon_2_ratio |_ velocity |_ neuromuscular_junction |_ vertices |_ muapHere are examples of how some model data can be accessed:model['properties']['tissue_conductivities']['skin'] - get the value of the skin electric conductivity used in the modelmodel['muscles'][1]['label'] - get the label of the muscle with index 1Similarly, the MUAP for a specific motor unit can be accessed as follows:muap = model['muscles'][0]['motor_units'][10]['muap']A single muap is a 2d numpy array where first dimension corresponds to the number of electrodes, and the second to the number of time samples.
description: This dataset consist of 4 pickle files containing model parameters for motor unit action potentials (MUAPs) simulation as well as corresponding MUAPs. The simulation was performed with Neurodec's Myoelectric Digital Twin Software (http://neurodec.ai/).How to access data in python:import pickleimport numpywith open('model_0.pkl', 'rb') as f:  model = pickle.load(f)The model is a simple structure of lists and dictionaries of the following structure:MODEL|_ properties |_ sampling_frequency |_ recruitment_rate |_ excitation_frequency_limits |_ tissue_conductivities |_ muscles |_ bones |_ fat |_ skin|_ electrodes |_ electrode_centers |_ electrode_radii |_ electrode_normals|_ skin |_ surface |_ vertices |_ triangles|_ [bones] |_ surface |_ vertices |_ triangles|_ [muscles] |_ label |_ surface |_ vertices |_ triangles |_ [motor_units] |_ [fibers] |_ tendon_1_ratio |_ tendon_2_ratio |_ velocity |_ neuromuscular_junction |_ vertices |_ muapHere are examples of how some model data can be accessed:model['properties']['tissue_conductivities']['skin'] - get the value of the skin electric conductivity used in the modelmodel['muscles'][1]['label'] - get the label of the muscle with index 1Similarly, the MUAP for a specific motor unit can be accessed as follows:muap = model['muscles'][0]['motor_units'][10]['muap']A single muap is a 2d numpy array where first dimension corresponds to the number of electrodes, and the second to the number of time samples.
DOI: 10.57760/sciencedb.07549
title: A dataset of carbon storage distribution of Urumqi on InVEST model
title: 基于InVEST模型的乌鲁木齐市碳储量分布数据集

description: As the capital and political, economic and cultural center of Xinjiang, Urumqi is also an important central city and international inland port area of northwest China. Its reasonable layout of economic and ecological construction has a important impact on the construction of the Silk Road Economic Belt and the overall layout of the country 's westward opening. Based on the data requirements of the InVEST model carbon module, this study collected land use data, meteorological data and carbon density data from 2000 to 2020 of Urumqi to evaluate regional carbon storage. The original data sources are reliable, and the data processing and calculation strictly follow the professional operating procedures to ensure the accuracy of the data results. The carbon density data involved in this study are difficult to obtain directly and fit the study area based on the correction of meteorological data, which plays a creative role in improving the accuracy of carbon storage calculation in InVEST model area. This study can provide some scientific data reference for the future economic and ecological construction pattern of Urumqi.
description: As the capital and political, economic and cultural center of Xinjiang, Urumqi is also an important central city and international inland port area of northwest China. Its reasonable layout of economic and ecological construction has a important impact on the construction of the Silk Road Economic Belt and the overall layout of the country 's westward opening. Based on the data requirements of the InVEST model carbon module, this study collected land use data, meteorological data and carbon density data from 2000 to 2020 of Urumqi to evaluate regional carbon storage. The original data sources are reliable, and the data processing and calculation strictly follow the professional operating procedures to ensure the accuracy of the data results. The carbon density data involved in this study are difficult to obtain directly and fit the study area based on the correction of meteorological data, which plays a creative role in improving the accuracy of carbon storage calculation in InVEST model area. This study can provide some scientific data reference for the future economic and ecological construction pattern of Urumqi.
DOI: 10.57760/sciencedb.07550
title: Data set of carbon storage distribution in Yili area of Xinjiang based on InVEST model
title: 基于InVEST模型的新疆伊犁地区碳储量分布数据集

description: Xinjiang Yili area is located in the arid zone of Eurasia, but it is rich in water resources and biological resources. It is an important contributor to regional carbon storage and ecosystem stability in Xinjiang. Exploring the distribution of carbon storage in Yili area can provide scientific reference for land use spatial planning. In this study, the InVEST model and three-phase land use data ( LUCC ) were used to explore the carbon storage and its spatial distribution in Yili, Xinjiang. This data set consists of four types of data : land use data, meteorological data, carbon density data and carbon storage data in Ili area. Data quality control is carried out in the whole process of data acquisition and processing to ensure accurate and reliable data. This data set can be used as a basic scientific data to explore the impact of land use change on regional carbon storage, and also provide a scientific reference for optimizing the spatial pattern of land use.
description: Xinjiang Yili area is located in the arid zone of Eurasia, but it is rich in water resources and biological resources. It is an important contributor to regional carbon storage and ecosystem stability in Xinjiang. Exploring the distribution of carbon storage in Yili area can provide scientific reference for land use spatial planning. In this study, the InVEST model and three-phase land use data ( LUCC ) were used to explore the carbon storage and its spatial distribution in Yili, Xinjiang. This data set consists of four types of data : land use data, meteorological data, carbon density data and carbon storage data in Ili area. Data quality control is carried out in the whole process of data acquisition and processing to ensure accurate and reliable data. This data set can be used as a basic scientific data to explore the impact of land use change on regional carbon storage, and also provide a scientific reference for optimizing the spatial pattern of land use.
DOI: 10.57760/sciencedb.07551
title: Risk stratification based on acute-on-chronic liver failure in cirrhotic patients hospitalized for acute variceal bleeding
title: Risk stratification based on acute-on-chronic liver failure in cirrhotic patients hospitalized for acute variceal bleeding

description: Prospective data of 335 cirrhotic patients hospitalized for AVB were retrospectively extracted from Medical Information Mart for Intensive Care (MIMIC)-Ⅳ database.
description: Prospective data of 335 cirrhotic patients hospitalized for AVB were retrospectively extracted from Medical Information Mart for Intensive Care (MIMIC)-Ⅳ database.
DOI: 10.57760/sciencedb.07552
title: SiC Diodes SEB Simulation Data
title: SiC二极管单粒子烧毁仿真数据

description: SEB simulation of SiC diodes with TCAD simulation
description: SEB simulation of SiC diodes with TCAD simulation
DOI: 10.57760/sciencedb.07553
title: 2021/2022 EPL raw data
title: 2021/2022 EPL raw data

description: This data is about performance indicators from English Premier League in 2021/2022 season
description: This data is about performance indicators from English Premier League in 2021/2022 season
DOI: 10.57760/sciencedb.07556
title: Exogenous melatonin alleviating effects on buds subjected to salt stress
title: 外源褪黑素对芽遭受盐胁迫的缓解作用

description: The alleviating effect of exogenous melatonin on buds suffering from salt stress is divided into three combinations: water, salt, melatonin and salt.
description: The alleviating effect of exogenous melatonin on buds suffering from salt stress is divided into three combinations: water, salt, melatonin and salt.
DOI: 10.57760/sciencedb.j00001.00783
title: Data set of 20 rice indicators in the middle and upper reaches of the Yangtze River from 2016 to 2020
title: 2016-2020年长江中上游地区20种稻谷指标数据集

description: This data set is based on the national standard and records the survey and detection data of rice samples. There are 15 experimental sites and 20 varieties of rice samples in 5 years, corresponding to 1500 data, forming 75 Excel tables. The samples were collected from the rice planting areas in the middle and upper reaches of the Yangtze River. Each data recorded the variety of rice samples, as well as the measured grain length, amylose content, chalkiness, and precision rate data. 
description: This data set is based on the national standard and records the survey and detection data of rice samples. There are 15 experimental sites and 20 varieties of rice samples in 5 years, corresponding to 1500 data, forming 75 Excel tables. The samples were collected from the rice planting areas in the middle and upper reaches of the Yangtze River. Each data recorded the variety of rice samples, as well as the measured grain length, amylose content, chalkiness, and precision rate data.
DOI: 10.57760/sciencedb.07559
title: lipidome-loquat
title: lipidome-loquat

description: The content of different unsaturate PC in loquatUnsaturated index of lipids in loquat
description: The content of different unsaturate PC in loquatUnsaturated index of lipids in loquat
DOI: 10.57760/sciencedb.07560
title: transcriptome-loquat
title: transcriptome-loquat

description: transcription of PC,TAG, MGDG,DGDG
description: transcription of PC,TAG, MGDG,DGDG
DOI: 10.57760/sciencedb.07562
title: Remote sensing products of inherent optical properties of Hulun Lake from 2016 to 2020
title: 2016-2020年呼伦湖水体固有光学参数遥感产品

description: Hulun Lake is the largest steppe lake in the high latitude semi-arid region of inland China, which is of great significance for grassland production and steppe - lake ecosystem maintenance. The absorption coefficient of water can characterize the optically active components in water and is helps to estimate the optically active substances and other related parameters of water body and water environment. Based on the quasi-analytical algorithm(QAA), a QAA-750E absorption coefficient inversion algorithm suitable for inland water bodies is used in this paper, based on Sentinel-3/OLCI remote sensing reflectance data, The monthly mean phytoplankton absorption coefficient and backscattering coefficient of Hulun Lake during 2016-2020 were produced. Where N = 15, R2 is 0.59, RMSE is 0.55, and MRD is 0.54, indicating that the data results have a certain reliability. The product can provide data support for water quality monitoring and ecological environment protection of Hulun Lake.
description: Hulun Lake is the largest steppe lake in the high latitude semi-arid region of inland China, which is of great significance for grassland production and steppe - lake ecosystem maintenance. The absorption coefficient of water can characterize the optically active components in water and is helps to estimate the optically active substances and other related parameters of water body and water environment. Based on the quasi-analytical algorithm(QAA), a QAA-750E absorption coefficient inversion algorithm suitable for inland water bodies is used in this paper, based on Sentinel-3/OLCI remote sensing reflectance data, The monthly mean phytoplankton absorption coefficient and backscattering coefficient of Hulun Lake during 2016-2020 were produced. Where N = 15, R2 is 0.59, RMSE is 0.55, and MRD is 0.54, indicating that the data results have a certain reliability. The product can provide data support for water quality monitoring and ecological environment protection of Hulun Lake.
DOI: 10.57760/sciencedb.07564
title: Systemic Risk Measurement and Its Economic Early Warning Ability: Based on Mixed-Frequency Dynamic Factor Model
title: Systemic Risk Measurement and Its Economic Early Warning Ability: Based on Mixed-Frequency Dynamic Factor Model

description: This data include data from Stock market, Banking, Real estate and Local government debt.
description: This data include data from Stock market, Banking, Real estate and Local government debt.
DOI: 10.15468/dl.fbj2dp
title: Occurrence Download

description: A dataset containing 46407 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bosque Mesófilo de Montaña de México"
 ]
}

 The dataset includes 46407 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000625-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.07567
title: Investigation of β− -decay half-life and delayed neutron emission with uncertainty analysis
title: Investigation of β− -decay half-life and delayed neutron emission with uncertainty analysis

description: Data of Gao, YF., Cai, BS. & Yuan, CX. Investigation of β−-decay half-life and delayed neutron emission with uncertainty analysis. NUCL SCI TECH 34, 9 (2023).https://doi.org/10.1007/s41365-022-01153-4
description: Data of Gao, YF., Cai, BS. & Yuan, CX. Investigation of β−-decay half-life and delayed neutron emission with uncertainty analysis. NUCL SCI TECH 34, 9 (2023).https://doi.org/10.1007/s41365-022-01153-4
DOI: 10.57760/sciencedb.07570
title: Transmission reconstruction data in tomographic gamma scanning
title: 层析伽马扫描透射重建数据

description: The experiment used Eu152 to scan the sample. The sample voxel contains aluminum, wood, graphite and polyethylene. Because the density of other materials voxel is not consistent, transmission reconstruction only compares the error of the linear attenuation coefficient of reconstructed aluminum voxel. aluminium_mu.txt: Method to calculate standard linear attenuation coefficient of aluminium at 344.3 keV and 411.2 keV energy 344.3keV(SART).csv: Linear attenuation image of aluminum reconstructed by SART at 344.3 keV energy411.2keV(SART).csv: Linear attenuation image of aluminum reconstructed by SART at 411.2 keV energy411.2keV(PICCS-LR).csv: Linear attenuation image of aluminum reconstructed by PICCS-LR at 411.2 keV energy
description: The experiment used Eu152 to scan the sample. The sample voxel contains aluminum, wood, graphite and polyethylene. Because the density of other materials voxel is not consistent, transmission reconstruction only compares the error of the linear attenuation coefficient of reconstructed aluminum voxel. aluminium_mu.txt: Method to calculate standard linear attenuation coefficient of aluminium at 344.3 keV and 411.2 keV energy 344.3keV(SART).csv: Linear attenuation image of aluminum reconstructed by SART at 344.3 keV energy411.2keV(SART).csv: Linear attenuation image of aluminum reconstructed by SART at 411.2 keV energy411.2keV(PICCS-LR).csv: Linear attenuation image of aluminum reconstructed by PICCS-LR at 411.2 keV energy
DOI: 10.57760/sciencedb.07571
title: Propagation probability of single-event transients in the SRAM read/write module
title: 单粒子瞬态在SRAM读写模块中的传播概率

description: The logic circuit of the read-write module in the SRAM chip is analyzed by software to analyze the propagation of single-event transients in the logic circuit
description: The logic circuit of the read-write module in the SRAM chip is analyzed by software to analyze the propagation of single-event transients in the logic circuit
DOI: 10.57760/sciencedb.07575
title: Intensity values for each animal and each metabolite assessed
title: Intensity values for each animal and each metabolite assessed

description: The data table containing intensity values for each animal and each metabolite assessed. The second and third rows are the fold change values and P-values of each metabolite. The first row is the names of the 17 metabolites, and the first column is the animal numbers.
description: The data table containing intensity values for each animal and each metabolite assessed. The second and third rows are the fold change values and P-values of each metabolite. The first row is the names of the 17 metabolites, and the first column is the animal numbers.
DOI: 10.57760/sciencedb.j00186.00052
title: A dataset of the efficiency calibration of the 3He neutron detector array with 51V(p,n)51Cr reaction
title: A dataset of the efficiency calibration of the 3He neutron detector array with 51V(p,n)51Cr reaction

description: The dataset is a tabular data of experimental measurements. It contains seven entries in seven row, corresponding to seven incident proton energies. There are seven columns in the dataset, which are the incident proton energy, the total detection efficiency, the error of total efficiency, the inner ring efficiency, the error of inner ring efficiency, the outer ring efficiency, the error of outer ring efficiency.
description: The dataset is a tabular data of experimental measurements. It contains seven entries in seven row, corresponding to seven incident proton energies. There are seven columns in the dataset, which are the incident proton energy, the total detection efficiency, the error of total efficiency, the inner ring efficiency, the error of inner ring efficiency, the outer ring efficiency, the error of outer ring efficiency.
DOI: 10.57760/sciencedb.07577
title: R code for obtaining species occurrence data from open datasets
title: R code for obtaining species occurrence data from open datasets

description: This R code is used to download species occurrence data from open datasets such as Global Biodiversity Information Facility, Atlas of Living Australia, Biodiversity Information Serving Our Nation, iNaturalist, eBird, and Integrated Digitized Biocollections.
description: This R code is used to download species occurrence data from open datasets such as Global Biodiversity Information Facility, Atlas of Living Australia, Biodiversity Information Serving Our Nation, iNaturalist, eBird, and Integrated Digitized Biocollections.
DOI: 10.15468/dl.s6gzyw
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elymus sibiricus L."
 ]
}

 The dataset includes 1250 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000615-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axwrqz
title: Occurrence Download

description: A dataset containing 60205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maclura Nutt."
 ]
}

 The dataset includes 60205 records from 900 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000610-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00052.00056
title: On the reliability of point estimation of model parameter: taking the CDMs as an example
title: 模型参数点估计的可靠性：以CDM为例

description: A new framework of CDM model parameter estimation based on MLE-EM and a new comprehensive method for assessing convergence. 
description: A new framework of CDM model parameter estimation based on MLE-EM and a new comprehensive method for assessing convergence.
DOI: 10.57760/sciencedb.07586
title: Raw electromyography signals from the wrist during index flexion
title: Raw electromyography signals from the wrist during index flexion

description: Raw electromyography (EMG) signals and individual finger forces for 9 participants during index flexion.EMG signals were acquired from the circumference of the wrist with two electrode arrays (GR08MM1305, OT Bioelettronica, 64 channels, 5 rows, 13 columns) connected to a Quattrocento amplifier (OT Bioelettronica) at 2048Hz sampling frequency. Force signals were recorded from five micro load cells (0–5 kg CZL635, Phidget) that were synchronised and upsampled to match EMG.
description: Raw electromyography (EMG) signals and individual finger forces for 9 participants during index flexion.EMG signals were acquired from the circumference of the wrist with two electrode arrays (GR08MM1305, OT Bioelettronica, 64 channels, 5 rows, 13 columns) connected to a Quattrocento amplifier (OT Bioelettronica) at 2048Hz sampling frequency. Force signals were recorded from five micro load cells (0–5 kg CZL635, Phidget) that were synchronised and upsampled to match EMG.
DOI: 10.57760/sciencedb.space.00502
title: Deep Neural Networks of Solar Flare Forecasting for Complex Active Regions
title: Deep Neural Networks of Solar Flare Forecasting for Complex Active Regions

description: This directory contains the data sets and the program files used in Deep Neural Networks of Solar Flare Forecasting for Complex Active Regions. There are four models of Complex Active Region Flare Forecast Model-1(CARFFM-1), Complex Active Region Flare Forecast Model-2(CARFFM-2), Complex Active Region Flare Forecast Model-3(CARFFM-3), and Complex Active Region Flare Forecast Model-4(CARFFM-4). For each model, the corresponding folder contains four subfolders of "code", "model", "train" and "apply", which are the modeling codes in Python language, the model after training, the training set, and the test set, respectively. In "code" subfolder, there are 4 files of "my_genetateds.py", "my_forward.py", "my_backward.py", and "my_apply.py". "my_apply.py" is used to test the model.
description: This directory contains the data sets and the program files used in Deep Neural Networks of Solar Flare Forecasting for Complex Active Regions. There are four models of Complex Active Region Flare Forecast Model-1(CARFFM-1), Complex Active Region Flare Forecast Model-2(CARFFM-2), Complex Active Region Flare Forecast Model-3(CARFFM-3), and Complex Active Region Flare Forecast Model-4(CARFFM-4). For each model, the corresponding folder contains four subfolders of "code", "model", "train" and "apply", which are the modeling codes in Python language, the model after training, the training set, and the test set, respectively. In "code" subfolder, there are 4 files of "my_genetateds.py", "my_forward.py", "my_backward.py", and "my_apply.py". "my_apply.py" is used to test the model.