cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.20788
title: Autism Spectrum Disorder Symptomatic dataset: For Arab Children
title: Autism Spectrum Disorder Symptomatic dataset: For Arab Children

description: This dataset contains Symptomatic data for Autism Spectrum Disorder (ASD) collected using M-CHAT-R. The data was gathered from parents of children aged from 3 to 15 years in North Cairo Governorate, Egypt across multiple institutions:Ain Shams Center for Special Needs CareThe Egyptian Autism SocietyResala Charity OrganizationDirect interviews with parents via social media "WhatsApp, Facebook".The main purpose of this dataset is to support autism research, and machine learning applications by providing real data in an Arabic-speaking population.
description: This dataset contains Symptomatic data for Autism Spectrum Disorder (ASD) collected using M-CHAT-R. The data was gathered from parents of children aged from 3 to 15 years in North Cairo Governorate, Egypt across multiple institutions:Ain Shams Center for Special Needs CareThe Egyptian Autism SocietyResala Charity OrganizationDirect interviews with parents via social media "WhatsApp, Facebook".The main purpose of this dataset is to support autism research, and machine learning applications by providing real data in an Arabic-speaking population.
DOI: 10.57760/sciencedb.25639
title: A dataset representing the movements that a person must perform to produce a sign
title: A dataset representing the movements that a person must perform to produce a sign

description: A time-series dataset to represent signs from Colombian Sign Language (LSC), including 11 colors, 33 courtesy phrases, and the numbers 1–10. It includes both static and dynamic signs, represented as 3D coordinate data of the face, torso and hands.The dataset is organized into a single JSON file with six hierarchical levels, each corresponding to:·        signer number: The identifier assigned to each participant.·        sign topic: The semantic category of the sign, which in this case includes colors, numbers, and courtesy expressions.·        sign name: The word represented by the sign.·        video number: The identifier for the original video recording of a given sign.·        repetition number: The identifier for each augmented instance derived from a single video.·        frame number: The sequential index of each frame, which contains the spatial coordinates.Additionally, all raw videos are included in the 'DataSet' folder, which contains three ZIP files, each corresponding to a directory of sign videos for the categories: colors, courtesy, and numbers.
description: A time-series dataset to represent signs from Colombian Sign Language (LSC), including 11 colors, 33 courtesy phrases, and the numbers 1–10. It includes both static and dynamic signs, represented as 3D coordinate data of the face, torso and hands.The dataset is organized into a single JSON file with six hierarchical levels, each corresponding to:·        signer number: The identifier assigned to each participant.·        sign topic: The semantic category of the sign, which in this case includes colors, numbers, and courtesy expressions.·        sign name: The word represented by the sign.·        video number: The identifier for the original video recording of a given sign.·        repetition number: The identifier for each augmented instance derived from a single video.·        frame number: The sequential index of each frame, which contains the spatial coordinates.Additionally, all raw videos are included in the 'DataSet' folder, which contains three ZIP files, each corresponding to a directory of sign videos for the categories: colors, courtesy, and numbers.
DOI: 10.15468/dl.cs7xfv
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oryza australiensis"
 ]
}

 The dataset includes 428 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041292-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.26738
title: Multi-features Deep Learning Framework for aboveground biomass mapping in semi-arid forests by integrating LiDAR with Sentinel-1 and Sentinel-2 time series
title: Multi-features Deep Learning Framework for aboveground biomass mapping in semi-arid forests by integrating LiDAR with Sentinel-1 and Sentinel-2 time series

description: We have provided the data and code for this research here.We have provided all the variables of Sentinel 1, including polarization metrics and texture features, which can be queried in a file named "S1". All variables of Sentinel 2, including band, vegetation index, biophysical features and seasonal features, can be queried in files named "S2_band", "S2_VI", "S2_Biophysical" and "S2_Seasonal_features". The GEDI data of the study area from 2019 to 2023 that we obtained can also be queried in this database.The measured data is also provided and it is stored in the "measured_data" file.In addition, we have provided all the codes for implementing this research, including the codes for all the models used in this study, as well as the codes for processing Sentinel 1 data, Sentinel 2 data, and GEDI data to obtain the feature data required for this study.These codes are stored in the file "code".
description: We have provided the data and code for this research here.We have provided all the variables of Sentinel 1, including polarization metrics and texture features, which can be queried in a file named "S1". All variables of Sentinel 2, including band, vegetation index, biophysical features and seasonal features, can be queried in files named "S2_band", "S2_VI", "S2_Biophysical" and "S2_Seasonal_features". The GEDI data of the study area from 2019 to 2023 that we obtained can also be queried in this database.The measured data is also provided and it is stored in the "measured_data" file.In addition, we have provided all the codes for implementing this research, including the codes for all the models used in this study, as well as the codes for processing Sentinel 1 data, Sentinel 2 data, and GEDI data to obtain the feature data required for this study.These codes are stored in the file "code".
DOI: 10.57760/sciencedb.29306
title: Are Carbon Crediting Mechanisms Effective Mitigation Tools in Environmental Quality?
title: Are Carbon Crediting Mechanisms Effective Mitigation Tools in Environmental Quality?

description: Using panel data of 24 countries from 2010 to 2023, whose individual carbon tax and emission trading system data are available, we employ the GMM estimation technique. 
description: Using panel data of 24 countries from 2010 to 2023, whose individual carbon tax and emission trading system data are available, we employ the GMM estimation technique.
DOI: 10.57760/sciencedb.07708
title: Dataset for the walking environments in station catchment areas in the USA and UAE
title: Dataset for the walking environments in station catchment areas in the USA and UAE

description: The full data set was collected from representative segments of street networks around 86 station catchment areas in four urban rail systems in US cities - Dallas, Washington DC, Phoenix, and Atlanta - and Dubai, in the United Arab Emirates.Over 12,000 segments within 800 metres radius of each sampled rail station were classified based on a set of street pattern typologies using ArcGIS (version 10.7). Of these, 914 segments were sampled and then audited and scored using detailed maps and manual visual inspection techniques using Google Street View as the primary data source.The data includes the detailed analysis for the sampling street segments, and street network connectivity (S- Conn) and street network quality (S-Qual) indices around rail station catchment areas in all five case study cities as a Microsoft Word file, which all can be freely accessed via the Science Data Bank.
description: The full data set was collected from representative segments of street networks around 86 station catchment areas in four urban rail systems in US cities - Dallas, Washington DC, Phoenix, and Atlanta - and Dubai, in the United Arab Emirates.Over 12,000 segments within 800 metres radius of each sampled rail station were classified based on a set of street pattern typologies using ArcGIS (version 10.7). Of these, 914 segments were sampled and then audited and scored using detailed maps and manual visual inspection techniques using Google Street View as the primary data source.The data includes the detailed analysis for the sampling street segments, and street network connectivity (S- Conn) and street network quality (S-Qual) indices around rail station catchment areas in all five case study cities as a Microsoft Word file, which all can be freely accessed via the Science Data Bank.
DOI: 10.57760/sciencedb.28992
title: Figure 7. Viral load of BLTV4 in D. silvarum
title: Figure 7. Viral load of BLTV4 in D. silvarum

description: Different lowercase letters above the columns denote statistical differences, with shared letters indicating no significant difference. A. Relative viral load in different developmental of BLTV4 in D. silvarum. B. Relative viral load in different tissues of BLTV4 in male (MS: salivary gland, MM: midgut, MSV: seminal vesicles). C. Relative viral load in different tissues of BLTV4 in female(FS: salivary gland, FM: midgut, FO: ovary ).
description: Different lowercase letters above the columns denote statistical differences, with shared letters indicating no significant difference. A. Relative viral load in different developmental of BLTV4 in D. silvarum. B. Relative viral load in different tissues of BLTV4 in male (MS: salivary gland, MM: midgut, MSV: seminal vesicles). C. Relative viral load in different tissues of BLTV4 in female(FS: salivary gland, FM: midgut, FO: ovary ).
DOI: 10.57760/sciencedb.28780
title: Raw data for the manuscript titled “Calcitriol protects against diabetic kidney disease by alleviating ferroptosis in tubular epithelial cells via VDR/JUN/ATF3 pathway”
title: Raw data for the manuscript titled “Calcitriol protects against diabetic kidney disease by alleviating ferroptosis in tubular epithelial cells via VDR/JUN/ATF3 pathway”

description: Source data get from our in vivo and in vitro experiments have been included in the corresponding folder of each figure.Downloaded datasets and the instructions to obtained them from publicly databases have been presented in the corresponding folder of each figure.All the relevant code/script files and data sheets to replicate the analyses and figures have been provided in the corresponding folder of each figure.
description: Source data get from our in vivo and in vitro experiments have been included in the corresponding folder of each figure.Downloaded datasets and the instructions to obtained them from publicly databases have been presented in the corresponding folder of each figure.All the relevant code/script files and data sheets to replicate the analyses and figures have been provided in the corresponding folder of each figure.
DOI: 10.57760/sciencedb.22028
title: Adaptive suppression of threat-history stimuli
title: Adaptive suppression of threat-history stimuli

description: The present study investigated whether adaptive suppression mechanisms can be applied to stimuli with a history of threat association. In the experiment, a threat-conditioning task was first used to associate one of two colors—green or cyan—with an electric shock, thereby establishing conditions of threat-history and no-threat-history. Subsequently, in a visual search task, 30 participants reported the orientation of the line inside the target diamond while occasionally being either undistracted or distracted by threat-history or no-threat-history distractors, which appeared across various spatial locations. The results showed that distractors appearing at high-probability locations were effectively suppressed, with suppression being stronger for threat-history distractors than for no-threat-history distractors. These findings indicate that threat history may facilitate visual search through an adaptive attentional suppression mechanism.
description: The present study investigated whether adaptive suppression mechanisms can be applied to stimuli with a history of threat association. In the experiment, a threat-conditioning task was first used to associate one of two colors—green or cyan—with an electric shock, thereby establishing conditions of threat-history and no-threat-history. Subsequently, in a visual search task, 30 participants reported the orientation of the line inside the target diamond while occasionally being either undistracted or distracted by threat-history or no-threat-history distractors, which appeared across various spatial locations. The results showed that distractors appearing at high-probability locations were effectively suppressed, with suppression being stronger for threat-history distractors than for no-threat-history distractors. These findings indicate that threat history may facilitate visual search through an adaptive attentional suppression mechanism.
DOI: 10.57760/sciencedb.29100
title: Wind power prediction
title: Wind power prediction

description: Affected by various factors such as meteorology and geography, the power output of wind turbines fluctuates frequently. During grid connection, it is necessary to predict the power changes and take control measures in time. This dataset includes data such as wind speed, blade deflection angle, yaw angle, humidity and temperature, which are used to predict the power output of wind turbines.
description: Affected by various factors such as meteorology and geography, the power output of wind turbines fluctuates frequently. During grid connection, it is necessary to predict the power changes and take control measures in time. This dataset includes data such as wind speed, blade deflection angle, yaw angle, humidity and temperature, which are used to predict the power output of wind turbines.
DOI: 10.57760/sciencedb.29099
title: Datasets: Electrocatalytic paired valorization of biomass-derived furfural over highly durable nickel selenide alloys
title: Datasets: Electrocatalytic paired valorization of biomass-derived furfural over highly durable nickel selenide alloys

description: Source data for submission
description: Source data for submission
DOI: 10.57760/sciencedb.18513
title: Jingmen tick virus in wild boar in China
title: Jingmen tick virus in wild boar in China

description: Eight complete genome sequences were recovered by meta-transcriptomic (MTT) analysis.Sequencing Technology is Illumina.
description: Eight complete genome sequences were recovered by meta-transcriptomic (MTT) analysis.Sequencing Technology is Illumina.
DOI: 10.57760/sciencedb.27884
title: SFTSV NSs sequesters the complex of SFTSV NP-SAFA to suppress SAFA mediated immune response.
title: SFTSV NSs sequesters the complex of SFTSV NP-SAFA to suppress SAFA mediated immune response.

description: Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging pathogenic bunyavirus with a high fatality rate of up to 30%. SFTSV nonstructural protein (NSs) forms viroplasm-like structures in the cytoplasm of infected cells, sequestering antiviral proteins and inhibiting interferon signaling. Nuclear scaffold attachment factor A (SAFA), a novel cytoplasmic RNA sensor, recognizes SFTSV infection and facilitates antiviral immune response. Intriguingly, we discovered that SFTSV NSs triggers nucleocytoplasmic translocation of SAFA. Nevertheless, whether the interaction between SAFA and NSs mediates the suppression of host innate immunity remains unresolved. Herein, we demonstrate that after SFTSV infection, SAFA retains in cytoplasm by interacting with NP, meanwhile, NSs captures NP- SAFA complex into inclusion bodies (IBs) through direct interaction with SPRY, AAA+ and RGG domains of SAFA, without affecting its expression levels. The activated SAFA initiates the STING-TBK1 axis, which is also sequestered by NSs into IBs, preventing p-IRF3 nuclear translocation and IFNβ production. In conclusion, our study reveals a novel immune evasion strategy of SFTSV involving sequestration of SAFA to suppress IFNβ secretion. These findings establish NSs as a virulence factor and identify SAFA as a promising broad-spectrum vaccine target against SFTSV and related pathogens.
description: Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging pathogenic bunyavirus with a high fatality rate of up to 30%. SFTSV nonstructural protein (NSs) forms viroplasm-like structures in the cytoplasm of infected cells, sequestering antiviral proteins and inhibiting interferon signaling. Nuclear scaffold attachment factor A (SAFA), a novel cytoplasmic RNA sensor, recognizes SFTSV infection and facilitates antiviral immune response. Intriguingly, we discovered that SFTSV NSs triggers nucleocytoplasmic translocation of SAFA. Nevertheless, whether the interaction between SAFA and NSs mediates the suppression of host innate immunity remains unresolved. Herein, we demonstrate that after SFTSV infection, SAFA retains in cytoplasm by interacting with NP, meanwhile, NSs captures NP- SAFA complex into inclusion bodies (IBs) through direct interaction with SPRY, AAA+ and RGG domains of SAFA, without affecting its expression levels. The activated SAFA initiates the STING-TBK1 axis, which is also sequestered by NSs into IBs, preventing p-IRF3 nuclear translocation and IFNβ production. In conclusion, our study reveals a novel immune evasion strategy of SFTSV involving sequestration of SAFA to suppress IFNβ secretion. These findings establish NSs as a virulence factor and identify SAFA as a promising broad-spectrum vaccine target against SFTSV and related pathogens.
DOI: 10.15468/dl.qrn2am
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041294-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhv92e
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is 西藏",
 "TaxonKey is Prunus mira"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041293-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekhnb4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041295-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.29081
title: Sighting records of dugongs reported by informers in Chinese waters
title: Sighting records of dugongs reported by informers in Chinese waters

description: This dataset contains sighting records of dugongs reported by informants in Chinese waters. Each record includes detailed information about the reporter and the sighting event. 
description: This dataset contains sighting records of dugongs reported by informants in Chinese waters. Each record includes detailed information about the reporter and the sighting event.
DOI: 10.57760/sciencedb.28472
title: Project AMIVE dataset from data mining from anonymous facebook pages, along with similar projects dataset, used to training the machine learning algorithm
title: Project AMIVE dataset from data mining from anonymous facebook pages, along with similar projects dataset, used to training the machine learning algorithm

description: Data generated by analysing Facebook anonimous posts, then, they were classified on mental health symptoms. After that, they were analysed by a machine learning algorithm.
description: Data generated by analysing Facebook anonimous posts, then, they were classified on mental health symptoms. After that, they were analysed by a machine learning algorithm.
DOI: 10.57760/sciencedb.08957
title: Trained Immunity Generated by the Recombinant Zoster Vaccine - ATACseq data
title: Trained Immunity Generated by the Recombinant Zoster Vaccine - ATACseq data

description: FASTQ files from bulk ATACseq using sorted monocytes and NK cells. R code and normalized count matrix tabular file also included for analysis.
description: FASTQ files from bulk ATACseq using sorted monocytes and NK cells. R code and normalized count matrix tabular file also included for analysis.
DOI: 10.15468/dl.n2r823
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041297-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vu8hpf
title: Occurrence Download

description: A dataset containing 14605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is October",
 "PublishingCountry is Portugal",
 "TaxonKey is Larus fuscus"
 ]
}

 The dataset includes 14605 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041296-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejdjga
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041300-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y334f
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene gallica",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041298-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52a9h2
title: Occurrence Download

description: A dataset containing 25878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lysimachia linum-stellatum"
 ]
}

 The dataset includes 25878 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041299-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.