cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.space.02503
title: Atmospheric electric field observation data from Chuxiong Station, Mouding Station, Lufeng Station, and Dali Station in Yunnan region for the year 2022
title: 云南地区楚雄站、牟定站、禄丰站和大理站2022年的大气电场观测数据

description: Atmospheric electric field observation data from Chuxiong Station, Mouding Station, Lufeng Station, and Dali Station in Yunnan region for the year 2022, with a time resolution of 1 second, and each day's data stored as a separate file.
description: Atmospheric electric field observation data from Chuxiong Station, Mouding Station, Lufeng Station, and Dali Station in Yunnan region for the year 2022, with a time resolution of 1 second, and each day's data stored as a separate file.
DOI: 10.57760/sciencedb.22537
title: Observation data of atmospheric electric fields at eight mid-latitude and low-latitude stations during the major magnetic storm on April 24, 2023
title: 2023年4月24日大磁暴期间八个中低纬地区台站大气电场的观测数据

description: Changes in atmospheric electric fields at eight mid-latitude and low-latitude stations during the major magnetic storm in April 2023, with a time resolution of 1 second, and each day's data stored as a separate file.
description: Changes in atmospheric electric fields at eight mid-latitude and low-latitude stations during the major magnetic storm in April 2023, with a time resolution of 1 second, and each day's data stored as a separate file.
DOI: 10.57760/sciencedb.22534
title: BT-Crack2000 pavement crack semantic segmentation dataset
title: BT-Crack2000 pavement crack semantic segmentation dataset

description: This study constructs a crack image dataset based on urban roads in Baotou City, China. The data collection was conducted using an onboard camera for field shooting, acquiring a total of 2102 high-definition road images. To enhance data diversity, the original dataset was expanded to 6500 multi-resolution images through data augmentation techniques such as image translation, selective cropping, and scaling. This dataset exhibits the following characteristics: (1) It includes a variety of background interference factors, such as lane markings, lighting variations (dim and glare conditions), and shadows in complex scenes; (2) These interference factors significantly increase the difficulty of image segmentation tasks, providing a challenging test benchmark for evaluating algorithm robustness. The construction of the dataset fully considers various interference factors in real road environments, offering reliable experimental data support for road crack detection research.
description: This study constructs a crack image dataset based on urban roads in Baotou City, China. The data collection was conducted using an onboard camera for field shooting, acquiring a total of 2102 high-definition road images. To enhance data diversity, the original dataset was expanded to 6500 multi-resolution images through data augmentation techniques such as image translation, selective cropping, and scaling. This dataset exhibits the following characteristics: (1) It includes a variety of background interference factors, such as lane markings, lighting variations (dim and glare conditions), and shadows in complex scenes; (2) These interference factors significantly increase the difficulty of image segmentation tasks, providing a challenging test benchmark for evaluating algorithm robustness. The construction of the dataset fully considers various interference factors in real road environments, offering reliable experimental data support for road crack detection research.
DOI: 10.57760/sciencedb.22538
title: original data
title: original data

description: Revealing systematic landscape in right‑ and left‑sided colorectal cancer via multi-omic profiling
description: Revealing systematic landscape in right‑ and left‑sided colorectal cancer via multi-omic profiling
DOI: 10.57760/sciencedb.22547
title: non-targeted metabolomics data of Asian elephant, domestic rabbit and Brandt's vole feces
title: non-targeted metabolomics data of Asian elephant, domestic rabbit and Brandt's vole feces

description: Asian elephant (n = 6), domestic rabbit (n =8 ) and Brandt's vole (n = 8). Nine-month-old adult male voles were randomly assigned to treatment groups receiving fecal bacteria suspension per vole from elephant (FMT-E, n = 8), or rabbits (FMT-R, n=8) the other day (oral gavage), or to a control group receiving normal saline (Con) the once every day (Con, n = 8; oral gavage) . Twenty-month-old female voles were randomly assigned to treatment groups by oral gavage 200 μL fecal bacteria suspension per vole once every day for 6 consecutive weeks from elephant (F-FMT-E voles, n = 8), rabbit (F-FMT-R voles, n = 8), and their own group (F-FMT-V voles, control voles, n = 8). The setting and treatment of male voles was the same to those of female voles, with the following groups: receiving fecal bacteria suspension per vole from elephant (M-FMT-E voles, n = 8), rabbit (M-FMT-R voles, n = 8), and their own group (M-FMT-V voles, control voles, n = 8).
description: Asian elephant (n = 6), domestic rabbit (n =8 ) and Brandt's vole (n = 8). Nine-month-old adult male voles were randomly assigned to treatment groups receiving fecal bacteria suspension per vole from elephant (FMT-E, n = 8), or rabbits (FMT-R, n=8) the other day (oral gavage), or to a control group receiving normal saline (Con) the once every day (Con, n = 8; oral gavage) . Twenty-month-old female voles were randomly assigned to treatment groups by oral gavage 200 μL fecal bacteria suspension per vole once every day for 6 consecutive weeks from elephant (F-FMT-E voles, n = 8), rabbit (F-FMT-R voles, n = 8), and their own group (F-FMT-V voles, control voles, n = 8). The setting and treatment of male voles was the same to those of female voles, with the following groups: receiving fecal bacteria suspension per vole from elephant (M-FMT-E voles, n = 8), rabbit (M-FMT-R voles, n = 8), and their own group (M-FMT-V voles, control voles, n = 8).
DOI: 10.57760/sciencedb.22548
title: Southeast University Multimodal Lie Detection Dataset
title: 东南大学多模态谎言检测数据集

description: To address the lack of a Chinese context based lie detection dataset in current research, we have developed SEUMLD, which is the first publicly available multimodal lie detection dataset based on Chinese conversations. SEUMLD contains data in three modalities: video, audio, and electrocardiogram signals. In order to effectively stimulate the participants' motivation to lie, we designed a paradigm of simulated crime and simulated interrogation experiments. By recording multimodal signals of participants during simulated interrogation, SEUMLD collected data from 76 participants who had lived in a Chinese language environment for a long time, totaling 3224 conversations. This dataset provides coarse-grained annotation for identifying whether participants lie throughout the entire conversation, as well as fine-grained annotation for precise segmentation of each conversation. 
description: To address the lack of a Chinese context based lie detection dataset in current research, we have developed SEUMLD, which is the first publicly available multimodal lie detection dataset based on Chinese conversations. SEUMLD contains data in three modalities: video, audio, and electrocardiogram signals. In order to effectively stimulate the participants' motivation to lie, we designed a paradigm of simulated crime and simulated interrogation experiments. By recording multimodal signals of participants during simulated interrogation, SEUMLD collected data from 76 participants who had lived in a Chinese language environment for a long time, totaling 3224 conversations. This dataset provides coarse-grained annotation for identifying whether participants lie throughout the entire conversation, as well as fine-grained annotation for precise segmentation of each conversation.
DOI: 10.57760/sciencedb.22550
title: Dataset of Ancient Tree Inventory and Conservation Status in Northeast Asia
title: 东北亚地区古树名录及濒危等级数据集

description: The dataset primarily consists of the following eight tables:Northeast Asia Ancient Tree InventoryAncient Tree Inventory of MongoliaAncient Tree Inventory of North KoreaAncient Tree Inventory of Asian RussiaAncient Tree Inventory of Northeast ChinaAncient Tree Inventory of South KoreaAncient Tree Inventory of JapanConservation Status Dataset for Ancient Trees in Northeast Asia
description: The dataset primarily consists of the following eight tables:Northeast Asia Ancient Tree InventoryAncient Tree Inventory of MongoliaAncient Tree Inventory of North KoreaAncient Tree Inventory of Asian RussiaAncient Tree Inventory of Northeast ChinaAncient Tree Inventory of South KoreaAncient Tree Inventory of JapanConservation Status Dataset for Ancient Trees in Northeast Asia
DOI: 10.57760/sciencedb.22552
title: Northeast Asian Old Tree Database
title: 东北亚地区古树数据库

description: The dataset primarily includes two tables:Northeast Asian Ancient Tree DatabaseList of 154 Administrative Divisions and Codes in Northeast Asia
description: The dataset primarily includes two tables:Northeast Asian Ancient Tree DatabaseList of 154 Administrative Divisions and Codes in Northeast Asia
DOI: 10.57760/sciencedb.22558
title: InSAR baseline optimization data
title: InSAR baseline optimization data

description: 本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于相干优化的植被覆盖数据。本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于相干优化的植被覆盖数据。本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于连贯优化的植被覆盖数据。 现场调查数据和无人机图像也用于验证。
description: 本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于相干优化的植被覆盖数据。本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于相干优化的植被覆盖数据。本研究中使用的数据包括用于干涉处理的 SAR 图像、用于大气校正的 ERA5 气象数据以及用于连贯优化的植被覆盖数据。 现场调查数据和无人机图像也用于验证。
DOI: 10.57760/sciencedb.22560
title: MRE data processing pipeline
title: MRE data processing pipeline

description: We present a unified processing pipeline that automates the transformation of raw MRE data into shear modulus containing an optimization-based phase unwrapping method with Dual Data Consistency (Dual-DC) and a TWE-based Neural Network (TWENN) algorithm for modulus inversion. Raw phase images were first unwrapped using an adaptive algorithm employing Dual-DC algorithm. Phase unwrapping and principal component extraction were simultaneously achieved, balancing reconstruction accuracy and noise robustness. 
description: We present a unified processing pipeline that automates the transformation of raw MRE data into shear modulus containing an optimization-based phase unwrapping method with Dual Data Consistency (Dual-DC) and a TWE-based Neural Network (TWENN) algorithm for modulus inversion. Raw phase images were first unwrapped using an adaptive algorithm employing Dual-DC algorithm. Phase unwrapping and principal component extraction were simultaneously achieved, balancing reconstruction accuracy and noise robustness.
DOI: 10.57760/sciencedb.22563
title: Research on the Distribution of superconducting currents in Parallel Circuits
title: Research on the Distribution of superconducting currents in Parallel Circuits

description: experimental data measuring the the Distribution of superconducting currents in Parallel Circuits. The measuring device was designed using Hall detector to check the magnetic field and determine the intensity of current. the structure include Time, intensity of total current, Hall voltages of two Hall detectors, Temperature of Sample(in the form of voltage of thermocouple )
description: experimental data measuring the the Distribution of superconducting currents in Parallel Circuits. The measuring device was designed using Hall detector to check the magnetic field and determine the intensity of current. the structure include Time, intensity of total current, Hall voltages of two Hall detectors, Temperature of Sample(in the form of voltage of thermocouple )
DOI: 10.57760/sciencedb.j00124.00186
title: Data set of aniline nitrogen doping modification and oxygen reduction catalytic performance of carbon fiber positive electrode of dissolved oxygen type seawater battery
title: 溶氧型海水电池碳纤维正极的苯胺氮掺杂改性及其氧还原催化性能数据集

description: Using aniline as nitrogen source, polyacrylonitrile carbon fiber was electrochemical treated in aniline and sulfuric acid mixture by one-step method, and nitrogen doped electrode was prepared by adjusting the process conditions.  It was characterized by scanning electron microscopy, Raman spectroscopy and X-ray photoelectron spectroscopy 
description: Using aniline as nitrogen source, polyacrylonitrile carbon fiber was electrochemical treated in aniline and sulfuric acid mixture by one-step method, and nitrogen doped electrode was prepared by adjusting the process conditions.  It was characterized by scanning electron microscopy, Raman spectroscopy and X-ray photoelectron spectroscopy
DOI: 10.57760/sciencedb.22569
title: 3D Printed vs Other Surgical Headrests Raw Acceleration Data
title: 3D Printed vs Other Surgical Headrests Raw Acceleration Data

description: This is raw acceleration data, in g-force, of testing headrest stability on a non-embalmed cadaver. 4 headrest conditions include No Headrest, Gel Donut headrest, a 3D printed PETG headrest, and a 3D printed TPU headrest. This is the accumulated data from two experiments.
description: This is raw acceleration data, in g-force, of testing headrest stability on a non-embalmed cadaver. 4 headrest conditions include No Headrest, Gel Donut headrest, a 3D printed PETG headrest, and a 3D printed TPU headrest. This is the accumulated data from two experiments.
DOI: 10.57760/sciencedb.j00186.00664
title: Low-noise read-out electronics design for a solar soft X-ray spectrometer onboard the MSS-1B satellite
title: Low-noise read-out electronics design for a solar soft X-ray spectrometer onboard the MSS-1B satellite

description: The data in sheet (Fig.16) represents the sampled peak values are scaled linearly with the input voltage.The data in sheet (Fig.17) represents the linear calibration using X-ray sources.The data in sheet (Fig.18) represents the spot spectrum of the Mn fluorescence lines.The data in sheet (Fig.19) represents the Mn Kα1 lines centroid drift in the temperature range of −5 ◦C to 20 ◦C.
description: The data in sheet (Fig.16) represents the sampled peak values are scaled linearly with the input voltage.The data in sheet (Fig.17) represents the linear calibration using X-ray sources.The data in sheet (Fig.18) represents the spot spectrum of the Mn fluorescence lines.The data in sheet (Fig.19) represents the Mn Kα1 lines centroid drift in the temperature range of −5 ◦C to 20 ◦C.
DOI: 10.57760/sciencedb.22571
title: 日照绿茶气体传感器数据
title: Rizhao Green Tea Gas Sensor Data

description: This dataset uses a self-made portable tea odor detection stick (integrated with six types of MQ sensors) to collect odor data of four grades of Rizhao green tea. The process of collecting tea odor data is as follows: 1. Before collecting data, power on the sensor for one hour for aging and preheating. 2. In order to prevent direct contact between the sensor and the tea sample, which may affect the performance of the sensor, a nylon material filter with a filtration accuracy of 250 mesh is used to effectively filter dust in the tea sample without affecting the contact between volatile gases in the tea and the sensor, generating a response signal. 3. The tea samples are stored in sealed packaging bags. About 100g of tea is taken out each time and placed in a 1L container. A hollow cylinder integrated with six sensors is inserted into the tea sample until the sensors are completely embedded in the tea. The sampling time is 10 minutes and the sampling frequency is 1hz. After sampling is completed, the sensors are taken out and left to stand in the air for 15 minutes to restore the sensor response to baseline level. During the experiment, the room temperature was maintained at 24 ± 1 ℃ and the humidity was kept at 40 ± 5%. The collection process of tea gas data and the response curve of gas sensors are shown in Figure 3 and Figure 4, respectively. 50 sets of data were collected for each grade of tea, and a total of 200 tea gas data samples were collected. 
description: This dataset uses a self-made portable tea odor detection stick (integrated with six types of MQ sensors) to collect odor data of four grades of Rizhao green tea. The process of collecting tea odor data is as follows: 1. Before collecting data, power on the sensor for one hour for aging and preheating. 2. In order to prevent direct contact between the sensor and the tea sample, which may affect the performance of the sensor, a nylon material filter with a filtration accuracy of 250 mesh is used to effectively filter dust in the tea sample without affecting the contact between volatile gases in the tea and the sensor, generating a response signal. 3. The tea samples are stored in sealed packaging bags. About 100g of tea is taken out each time and placed in a 1L container. A hollow cylinder integrated with six sensors is inserted into the tea sample until the sensors are completely embedded in the tea. The sampling time is 10 minutes and the sampling frequency is 1hz. After sampling is completed, the sensors are taken out and left to stand in the air for 15 minutes to restore the sensor response to baseline level. During the experiment, the room temperature was maintained at 24 ± 1 ℃ and the humidity was kept at 40 ± 5%. The collection process of tea gas data and the response curve of gas sensors are shown in Figure 3 and Figure 4, respectively. 50 sets of data were collected for each grade of tea, and a total of 200 tea gas data samples were collected.
DOI: 10.57760/sciencedb.22575
title: The date of the evolution of beam spatial characteristics in high-power Yb:YAG Innoslab amplifier
title: The date of the evolution of beam spatial characteristics in high-power Yb:YAG Innoslab amplifier

description: Design experimental parameters through literature research and confirm them through simulation, and obtain relevant results through experiments. 
description: Design experimental parameters through literature research and confirm them through simulation, and obtain relevant results through experiments.
DOI: 10.57760/sciencedb.j00001.01357
title: Monthly 10-meter Resolution SDWI Dataset of Bitahai (2018-2024)
title: 碧塔海10米分辨率逐月SDWI数据集(2018-2024年)

description: This dataset comprises seven folders, corresponding to the monthly SDWI data of Bitahai from 2018 to 2024. Each year's data is organized into a separate folder, and each folder contains the monthly SDWI data for the 12 months of that year. The files are named in the format sentinel_YYYYMM.tif, where YYYY represents the year, MM represents the month.
description: This dataset comprises seven folders, corresponding to the monthly SDWI data of Bitahai from 2018 to 2024. Each year's data is organized into a separate folder, and each folder contains the monthly SDWI data for the 12 months of that year. The files are named in the format sentinel_YYYYMM.tif, where YYYY represents the year, MM represents the month.
DOI: 10.15468/dl.spb43t
title: Occurrence Download

description: A dataset containing 221274 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invertebrates Collection of the Swedish Museum of Natural History"
 ]
}

 The dataset includes 221274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001260-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.22577
title: Effects of Okadaic Acid on Zebrafish (Danio rerio) Behavior and Cellular Pathways: Insights from Transcriptome Analysis
title: Effects of Okadaic Acid on Zebrafish (Danio rerio) Behavior and Cellular Pathways: Insights from Transcriptome Analysis

description: This study investigates the toxicological effects of okadaic acid (OA), a marine biotoxin, on zebrafish behavior and cellular mechanisms in C2C12 cells. Zebrafish exposed to varying OA concentrations exhibited concentration-dependent behavioral changes, including increased bottom-dwelling and reduced locomotion, indicative of neurotoxic effects. At the cellular level, OA exposure in C2C12 cells resulted in elevated oxidative stress markers, such as reactive oxygen species (ROS) and malondialdehyde (MDA). Transcriptomic analysis revealed significant activation of the p53 pathway, characterized by upregulation of pro-apoptotic genes (puma and bax) and downregulation of the anti-apoptotic gene BCL-2, driving mitochondrial apoptosis. The observed oxidative stress and p53-mediated apoptosis provide a mechanistic link between OA-induced cellular toxicity and behavioral alterations in zebrafish. These findings underscore the dual impact of OA on organismal behavior and cellular health, offering valuable insights into its mechanisms of action. Moreover, the study highlights zebrafish behavior as a sensitive bioindicator for OA exposure, demonstrating its potential utility in environmental biomonitoring programs. Overall, this research enhances understanding of OA's ecological risks, providing critical data to support marine environmental safety and public health protection.
description: This study investigates the toxicological effects of okadaic acid (OA), a marine biotoxin, on zebrafish behavior and cellular mechanisms in C2C12 cells. Zebrafish exposed to varying OA concentrations exhibited concentration-dependent behavioral changes, including increased bottom-dwelling and reduced locomotion, indicative of neurotoxic effects. At the cellular level, OA exposure in C2C12 cells resulted in elevated oxidative stress markers, such as reactive oxygen species (ROS) and malondialdehyde (MDA). Transcriptomic analysis revealed significant activation of the p53 pathway, characterized by upregulation of pro-apoptotic genes (puma and bax) and downregulation of the anti-apoptotic gene BCL-2, driving mitochondrial apoptosis. The observed oxidative stress and p53-mediated apoptosis provide a mechanistic link between OA-induced cellular toxicity and behavioral alterations in zebrafish. These findings underscore the dual impact of OA on organismal behavior and cellular health, offering valuable insights into its mechanisms of action. Moreover, the study highlights zebrafish behavior as a sensitive bioindicator for OA exposure, demonstrating its potential utility in environmental biomonitoring programs. Overall, this research enhances understanding of OA's ecological risks, providing critical data to support marine environmental safety and public health protection.