cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.00406
title: Spatial Dataset of 30 meter Marsh Wetland Distribution in the Songhua River Basin (2015)
title: 松花江流域30米沼泽湿地分布空间数据集（2015年）

description: a. Data content (data file/table name, including observation index content)

This dataset includes the spatial distribution data of wetlands within the Songhua River Basin in 2015, providing data support for studying wetland changes.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity, irreplaceable ecological functions, and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth".

c. Service object

It can widely serve scientific researchers and students in fields such as agriculture, ecological environment, and related disciplines such as hydrology and wetland ecology.

d. Time range of data

2015

e. The spatial range of data

Songhua River Plain
description: a. Data content (data file/table name, including observation index content)

This dataset includes the spatial distribution data of wetlands within the Songhua River Basin in 2015, providing data support for studying wetland changes.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity, irreplaceable ecological functions, and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth".

c. Service object

It can widely serve scientific researchers and students in fields such as agriculture, ecological environment, and related disciplines such as hydrology and wetland ecology.

d. Time range of data

2015

e. The spatial range of data

Songhua River Plain
DOI: 10.57760/sciencedb.iga.00407
title: Spatial Dataset for the Distribution of 30 meter Water Wetlands in the Songhua River Basin (2015)
title: 松花江流域30米水体湿地分布空间数据集（2015年）

description: a. Data content (data file/table name, including observation index content)

This dataset includes spatial distribution data of wetlands within the Songhua River Basin in 2015, providing data support for studying wetland changes.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity, irreplaceable ecological functions, and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth".

c. Service object

It can widely serve scientific researchers and students in fields such as agriculture, ecological environment, and related disciplines such as hydrology and wetland ecology.

d. Time range of data

2015

e. The spatial range of data

Songhua River Plain
description: a. Data content (data file/table name, including observation index content)

This dataset includes spatial distribution data of wetlands within the Songhua River Basin in 2015, providing data support for studying wetland changes.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity, irreplaceable ecological functions, and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth".

c. Service object

It can widely serve scientific researchers and students in fields such as agriculture, ecological environment, and related disciplines such as hydrology and wetland ecology.

d. Time range of data

2015

e. The spatial range of data

Songhua River Plain
DOI: 10.57760/sciencedb.11271
title: Supplementary Data 5
title: Supplementary Data 5

description: Free induction decay (FID) files, acquisition data, and processing parameters for the recorded 1H, 13C, and 19F NMR spectra for a set of alcohols. This data consists of supplementary data for an article entitled: "Biocatalytic Characterization of an Alcohol Dehydrogenase Variant Deduced from Lactobacillus kefir in Asymmetric Hydrogen Transfer" published in Communications Chemistry in Special Issue "Chemoenzymatic Synthesis" available via www website: https://www.nature.com/collections/afjacdgebd.
description: Free induction decay (FID) files, acquisition data, and processing parameters for the recorded 1H, 13C, and 19F NMR spectra for a set of alcohols. This data consists of supplementary data for an article entitled: "Biocatalytic Characterization of an Alcohol Dehydrogenase Variant Deduced from Lactobacillus kefir in Asymmetric Hydrogen Transfer" published in Communications Chemistry in Special Issue "Chemoenzymatic Synthesis" available via www website: https://www.nature.com/collections/afjacdgebd.
DOI: 10.57760/sciencedb.11281
title: ch-sims
title: ch-sims

description: The CH-SIMS dataset is a Chinese public dataset that includes a multimodal emotional corpus, consisting of 2281 video clips and covering 60 original videos. The dataset provides rich background information and a wide range of ages, as well as multimodal and tri modal single peak annotations. Each video clip is labeled with emotional labels, including regression labels and classification labels. Among them, the values of the regression label are {-1.0, -0.8, -0.6, -0.4, -0.2, 0.0, 0.2, 0.4, 0.6, 0.8, 1.0}, indicating the degree of emotional change from negative to positive. The classification labels are divided into -1 (negative), 0 (neutral), and 1 (positive). These labels can be used to evaluate the performance of sentiment analysis algorithms. 
description: The CH-SIMS dataset is a Chinese public dataset that includes a multimodal emotional corpus, consisting of 2281 video clips and covering 60 original videos. The dataset provides rich background information and a wide range of ages, as well as multimodal and tri modal single peak annotations. Each video clip is labeled with emotional labels, including regression labels and classification labels. Among them, the values of the regression label are {-1.0, -0.8, -0.6, -0.4, -0.2, 0.0, 0.2, 0.4, 0.6, 0.8, 1.0}, indicating the degree of emotional change from negative to positive. The classification labels are divided into -1 (negative), 0 (neutral), and 1 (positive). These labels can be used to evaluate the performance of sentiment analysis algorithms.
DOI: 10.57760/sciencedb.11284
title: Data-Effects of Plough Layer Thickness on the Transformation and Fate of Fertilizer Nitrogen in Fluvo-aquic Soils with Different Textures
title: 数据-耕层厚度对潮土中化肥氮素转化的影响

description: The data involved in the journal paper "The effect of topsoil thickness on nitrogen conversion of fertilizers in tidal soil". 
description: The data involved in the journal paper "The effect of topsoil thickness on nitrogen conversion of fertilizers in tidal soil".
DOI: 10.57760/sciencedb.11287
title: magnetron sputtering
title: 磁控溅射

description: Based on MATLAB software and shadow masks, establish a control model for lateral thickness distribution of thin films in magnetron sputtering. 
description: Based on MATLAB software and shadow masks, establish a control model for lateral thickness distribution of thin films in magnetron sputtering.
DOI: 10.57760/sciencedb.11299
title: The acoustic feature dataset of WD patients and healthy individuals
title: The acoustic feature dataset of WD patients and healthy individuals

description: The study uses a state-of-the-art speech embedding method for WD detection in unstructured connected speech (UCS), combining bi-directional semantic dependencies and attentional mechanisms.The feature data file contains 110 native Mandarin-speaking participants, including 55 WD patients and 55 sex-matched healthy individuals. Four columns of data are labels (0 for healthy individuals and 1 for WD patients), ComParE feature set, Wav2vec 2.0, and HuBERT embedded feature set.To obtain frame-level speech representations that can be compared and fused with embedding approaches, we use only the LLDs of ComParE (the current latest 2016 version), which contains 65-dimensional features per time step, and configure the window length and the step length to 30 ms and 20 ms, respectively. The final ComParE feature shape of each participant's 60s audio is 2999 × 65.For adapting to native speech data, we extract embeddings based on pre-trained models w2v2 and HuBERT fine-tuned on 10,000 hours of Chinese speech data from WenetSpeech, respectively. Furthermore, considering the computational resources and time cost, we choose to use the base version of the pre-trained models, i.e., the final 768-dimensional hidden layer, as the embedding representation of the audio. The last hidden state in the model serves as the embedding representation with a shape of 2999 × 768 for an audio sample.
description: The study uses a state-of-the-art speech embedding method for WD detection in unstructured connected speech (UCS), combining bi-directional semantic dependencies and attentional mechanisms.The feature data file contains 110 native Mandarin-speaking participants, including 55 WD patients and 55 sex-matched healthy individuals. Four columns of data are labels (0 for healthy individuals and 1 for WD patients), ComParE feature set, Wav2vec 2.0, and HuBERT embedded feature set.To obtain frame-level speech representations that can be compared and fused with embedding approaches, we use only the LLDs of ComParE (the current latest 2016 version), which contains 65-dimensional features per time step, and configure the window length and the step length to 30 ms and 20 ms, respectively. The final ComParE feature shape of each participant's 60s audio is 2999 × 65.For adapting to native speech data, we extract embeddings based on pre-trained models w2v2 and HuBERT fine-tuned on 10,000 hours of Chinese speech data from WenetSpeech, respectively. Furthermore, considering the computational resources and time cost, we choose to use the base version of the pre-trained models, i.e., the final 768-dimensional hidden layer, as the embedding representation of the audio. The last hidden state in the model serves as the embedding representation with a shape of 2999 × 768 for an audio sample.
DOI: 10.57760/sciencedb.11302
title: A dataset of sEMG signals recorded by metal-polymer electrode array patch and commerical array.
title: A dataset of sEMG signals recorded by metal-polymer electrode array patch and commerical array.

description: The data type is Hdf5 which can be processed by Matlab. The sampling rate of all sEMG recording is 1200 Hz.
description: The data type is Hdf5 which can be processed by Matlab. The sampling rate of all sEMG recording is 1200 Hz.
DOI: 10.57760/sciencedb.11255
title: A dataset of leaf nitrogen to phosphorus ratios for Chinese shrublands
title: 中国灌丛1km叶片氮磷比空间分布数据集

description: The leaf nitrogen to phosphorus ratio (N:P) is an important indicator describing plants nutrition limitation. Large-scale data of leaf N:P provides potential for evaluating ecosystem nutrition use and estimating future regional carbon sinks. However, faced with intensive human disturbances, shrubland studies are of larger uncertainty. This dataset constructed relationships between ground measured data and environmental factors using one machine learning algorithm for in-site leaf N:P data upscaling. The testing results and comparison with other similar data both showed this dataset is of good accuracy, reflecting the status of Chinese shrubland nutrition limitation, and can be used for nutrition use and carbon potential studies.
description: The leaf nitrogen to phosphorus ratio (N:P) is an important indicator describing plants nutrition limitation. Large-scale data of leaf N:P provides potential for evaluating ecosystem nutrition use and estimating future regional carbon sinks. However, faced with intensive human disturbances, shrubland studies are of larger uncertainty. This dataset constructed relationships between ground measured data and environmental factors using one machine learning algorithm for in-site leaf N:P data upscaling. The testing results and comparison with other similar data both showed this dataset is of good accuracy, reflecting the status of Chinese shrubland nutrition limitation, and can be used for nutrition use and carbon potential studies.
DOI: 10.57760/sciencedb.11318
title: Dataset and Supplmentary Materials for "Did Cooperation Among Strangers Decline in the United States? A Cross-Temporal Meta-Analysis of Social Dilemmas (1956–2017)"
title: Dataset and Supplmentary Materials for "Did Cooperation Among Strangers Decline in the United States? A Cross-Temporal Meta-Analysis of Social Dilemmas (1956–2017)"

description: Cooperation among strangers has been hypothesized to have declined in theUnited States over the past several decades, an alarming trend that has potential far-reaching societal consequences. To date, most research that supports a decline in cooperation has relied on self-report measures or archival data. Here, we utilize the history of experimental research on cooperation in situations involving conflicting interests (i.e., social dilemmas). We meta-analyzed 511 studies conducted between 1956 and 2017 with 660 unique samples and effect sizes involving 63,342 participants to test whether the average level of cooperation observed in these studies had declined over time. We found no evidence for a decline in cooperation over the 61-year period. Instead, we found a slight increase in cooperation over time. In addition, some societal indicators (e.g., income inequality, societal wealth, urbanization level, and percentage of people living alone) measured 10 to 5 years prior to measures of cooperation were found to be positively associated with cooperation, suggesting that they may be potential societal underpinnings of increases in cooperation. These findings challenge the idea that social capital and civic cooperation among strangers have declined in the United States over time, and we offer directions for future research to understand causes of an increase in cooperation.
description: Cooperation among strangers has been hypothesized to have declined in theUnited States over the past several decades, an alarming trend that has potential far-reaching societal consequences. To date, most research that supports a decline in cooperation has relied on self-report measures or archival data. Here, we utilize the history of experimental research on cooperation in situations involving conflicting interests (i.e., social dilemmas). We meta-analyzed 511 studies conducted between 1956 and 2017 with 660 unique samples and effect sizes involving 63,342 participants to test whether the average level of cooperation observed in these studies had declined over time. We found no evidence for a decline in cooperation over the 61-year period. Instead, we found a slight increase in cooperation over time. In addition, some societal indicators (e.g., income inequality, societal wealth, urbanization level, and percentage of people living alone) measured 10 to 5 years prior to measures of cooperation were found to be positively associated with cooperation, suggesting that they may be potential societal underpinnings of increases in cooperation. These findings challenge the idea that social capital and civic cooperation among strangers have declined in the United States over time, and we offer directions for future research to understand causes of an increase in cooperation.
DOI: 10.57760/sciencedb.11321
title: Performance of Laser Energy Measurement System for LHAASO-WFCTA
title: LHAASO_WFCTA 激光能量测量系统的性能研究

description: The Large High Altitude Air Shower Observatory (LHAASO) is located in Haizi Mountain, Daocheng County, Sichuan Province, with an average elevation of 4.410 meters. The laser calibration system is one of the components of LHAASO's Wide Angle Cerenkov Telescope Array (WFCTA), used to calibrate the absolute gain of the number of photons received by WFCTA. The laser energy measurement system in the laser calibration system consists of three parts: an energy sensor, an energy meter, and an insulation system. It is mainly used to accurately measure the energy of a pulsed laser beam emitted into the WFCTA field of view. This article mainly conducts relative calibration and performance research on the energy probe, and designs and develops an insulation system to ensure the normal operation of the energy probe in harsh high-altitude areas. The accuracy of laser energy measurement can be improved through relative calibration between energy probes. The performance test results of the energy probe indicate that the unevenness is less than 1.5% in a circular area with a diameter of 8 mm centered on the center of the energy probe. In addition, the energy probe has a strong temperature effect 
description: The Large High Altitude Air Shower Observatory (LHAASO) is located in Haizi Mountain, Daocheng County, Sichuan Province, with an average elevation of 4.410 meters. The laser calibration system is one of the components of LHAASO's Wide Angle Cerenkov Telescope Array (WFCTA), used to calibrate the absolute gain of the number of photons received by WFCTA. The laser energy measurement system in the laser calibration system consists of three parts: an energy sensor, an energy meter, and an insulation system. It is mainly used to accurately measure the energy of a pulsed laser beam emitted into the WFCTA field of view. This article mainly conducts relative calibration and performance research on the energy probe, and designs and develops an insulation system to ensure the normal operation of the energy probe in harsh high-altitude areas. The accuracy of laser energy measurement can be improved through relative calibration between energy probes. The performance test results of the energy probe indicate that the unevenness is less than 1.5% in a circular area with a diameter of 8 mm centered on the center of the energy probe. In addition, the energy probe has a strong temperature effect
DOI: 10.57760/sciencedb.11322
title: A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis
title: A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis

description: Data used in meta-analysis
description: Data used in meta-analysis
DOI: 10.57760/sciencedb.iga.00408
title: 30m carbon storage spatial dataset of wetlands along the lower reaches of the Songhua River (2014)
title: 松花江下游沿江湿地30m碳储量空间数据集(2014年)

description: a. Data content (data file/table name, including observation index content)

The 30m carbon storage spatial dataset (2014) of wetlands along the lower reaches of the Songhua River reflects the carbon storage situation of wetlands along the river in 2014.

b. Construction purpose

Monitoring the carbon storage, habitat, and land cover changes of wetlands along the Songhua River through a certain time series of remote sensing data, evaluating the ecological restoration effect of the region, and providing scientific support for wetland ecological restoration and environmental protection in Northeast China.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

2014

e. The spatial range of data

Downstream Songhua River area along the river
description: a. Data content (data file/table name, including observation index content)

The 30m carbon storage spatial dataset (2014) of wetlands along the lower reaches of the Songhua River reflects the carbon storage situation of wetlands along the river in 2014.

b. Construction purpose

Monitoring the carbon storage, habitat, and land cover changes of wetlands along the Songhua River through a certain time series of remote sensing data, evaluating the ecological restoration effect of the region, and providing scientific support for wetland ecological restoration and environmental protection in Northeast China.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

2014

e. The spatial range of data

Downstream Songhua River area along the river
DOI: 10.57760/sciencedb.iga.00409
title: 30m carbon storage spatial dataset of wetlands along the lower reaches of the Songhua River (2013)
title: 松花江下游沿江湿地30m碳储量空间数据集(2013年)

description: a. Data content (data file/table name, including observation index content)

The 30m carbon storage spatial dataset (2013) of wetlands along the lower reaches of the Songhua River reflects the carbon storage situation of wetlands along the river in 2013.

b. Construction purpose

Monitoring the carbon storage, habitat, and land cover changes of wetlands along the Songhua River through a certain time series of remote sensing data, evaluating the ecological restoration effect of the region, and providing scientific support for wetland ecological restoration and environmental protection in Northeast China.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

2013

e. The spatial range of data

Downstream Songhua River area along the river
description: a. Data content (data file/table name, including observation index content)

The 30m carbon storage spatial dataset (2013) of wetlands along the lower reaches of the Songhua River reflects the carbon storage situation of wetlands along the river in 2013.

b. Construction purpose

Monitoring the carbon storage, habitat, and land cover changes of wetlands along the Songhua River through a certain time series of remote sensing data, evaluating the ecological restoration effect of the region, and providing scientific support for wetland ecological restoration and environmental protection in Northeast China.

c. Service object

It can widely serve scientific researchers in related disciplines such as geography, wetland ecology, and environmental protection.

d. Time range of data

2013

e. The spatial range of data

Downstream Songhua River area along the river
DOI: 10.15468/dl.sxq7tc
title: Occurrence Download

description: A dataset containing 795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudemys rubriventris (Le Conte, 1830)",
 "Year 2024-2024"
 ]
}

 The dataset includes 795 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000798-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.