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MOESM6 of Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection|农业科学数据集|遗传学数据集
收藏Mendeley Data2024-06-27 更新2024-06-27 收录
下载链接：
https://springernature.figshare.com/articles/dataset/MOESM6_of_Exploring_the_genetic_architecture_and_improving_genomic_prediction_accuracy_for_mastitis_and_milk_production_traits_in_dairy_cattle_by_mapping_variants_to_hepatic_transcriptomic_regions_responsive_to_intra-mammary_infection/5004596/1
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Additional file 6: Tables S7, S8, S9 and S10. GFBLUP analyses in the Jersey (JER) population. The data provided represent the detailed results of GFBLUP analyses for mastitis (Table S7), protein (Table S8), milk (Table S9) and fat (Table S10) yield in the JER population.
创建时间：
2023-06-28
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Figshare
Figshare是一个在线数据共享平台，允许研究人员上传和共享各种类型的研究成果，包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。
figshare.com 收录
中国劳动力动态调查
“中国劳动力动态调查” （China Labor-force Dynamics Survey，简称 CLDS）是“985”三期“中山大学社会科学特色数据库建设”专项内容，CLDS的目的是通过对中国城乡以村/居为追踪范围的家庭、劳动力个体开展每两年一次的动态追踪调查，系统地监测村/居社区的社会结构和家庭、劳动力个体的变化与相互影响，建立劳动力、家庭和社区三个层次上的追踪数据库，从而为进行实证导向的高质量的理论研究和政策研究提供基础数据。
中国学术调查数据资料库 收录
中国沿海地面沉降数据数据库（2015，2020）
数据来源https://doi.org/10.1038/s41467-022-34525-w。由于缺少详细公开的中国沿海地区地面升降数据，本数据集是通过系统的文献综述，对中国沿海地区的地面升降进行了详细整理，建立了中国沿海城市地面沉降数据库，包括中国沿海城市不同时段沉降速率以及测量手段。所用文献主要来源于CNKI文献数据库、Web of Science，以及灰色文献（Grey literature），如报告、规划等。该数据可用于相对海平面变化研究，沿海极值水位和海岸洪水危险性研究，为沿海地面沉降防控以及沿海适应性措施规划等提供参考和依据。
国家青藏高原科学数据中心 收录
MeSH
MeSH（医学主题词表）是一个用于索引和检索生物医学文献的标准化词汇表。它包含了大量的医学术语和概念，用于描述医学文献中的主题和内容。MeSH数据集包括主题词、副主题词、树状结构、历史记录等信息，广泛应用于医学文献的分类和检索。
www.nlm.nih.gov 收录
Ninapro dataset 5 (double Myo armband)
The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo.com/) armbands. The database can be used to test the Myo armbands separately as well. The database is thoroughly described in the paper: "Pizzolato et al., Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks, Plos One 2017 (accepted).". Please, cite this paper for any work related to the 5th Ninapro database. The dataset is part of the Ninapro database (http://ninapro.hevs.ch/). Please, look at the database for more information. Acquisition Protocol The subjects have to repeat several movements represented by movies that are shown on the screen of a laptop. The experiment is divided in three exercises: 1. Basic movements of the fingers 2. Isometric, isotonic hand configurations and basic wrist movements 3. Grasping and functional movements During the acquisition, the subjects were asked to repeat the movements with the right hand. Each movement repetition lasted 5 seconds and was followed by 3 seconds of rest. The protocol includes 6 repetitions of 52 different movements (plus rest) performed by 10 intact subjects. The movements were selected from the hand taxonomy as well as from hand robotics literature. Acquisition Setup The muscular activity is gathered using 2 Thalmic Myo armbands. The database can be used to test the Myo armbands separately as well. The subjects in this database wore two Myo armbands one next to the other, including 16 active single–differential wireless electrodes. The top Myo armband is placed closed to the elbow with the first sensor placed on the radio humeral joint, as in the standard Ninapro configuration for the equally spaced electrodes; the second Myo armband is placed just after the first, nearer to the hand, tilted of 22.5 degrees. This configuration provides an extended uniform muscle mapping at an extremely affordable cost. The Myo sensors do not require the arm to be shaved and after few minutes the armband tighten very firmly to the arm of the subject. The sEMG signals are sampled at a rate of 200 Hz. The kinematic information is recorded with a dataglove (22 sensors Cyberglove 2). The cyberglove signal corresponds to raw data from the cyberglove sensors located as shown in the following pictures. The raw data are declared to be proportional to the angles at the joints in the CyberGlove manual. Data Sets For each exercise, for each subject, the database contains one matlab file with synchronized variables. The variables included in the matlab files are: • subject: the subject number; • sensor: the name of the sEMG sensor; • frequency: the frequency in Hertz of the recorded data • exercise: exercise number; • emg: sEMG signal. Columns 1-8 are the electrodes equally spaced around the forearm at the height of the radio humeral joint. Columns 9-16 represent the second Myo, tilted by 22.5 degrees clockwise. • acc (3 columns): raw signals from the three axis accelerometer of the first Myo, found in the Myo DB • glove (22 columns): uncalibrated signal from the 22 sensors of the CyberGlove. The raw data are declared to be proportional to the angles of the joints in the CyberGlove manual. • stimulus: the original label of the movement repeated by the subject; • restimulus: the corrected stimulus, processed with movement detection algorithms; • repetition: stimulus repetition index; • rerepetition: restimulus repetition index; • age: subject’s age; • gender: subject’s gender, ”m” for male ”f” for female; • weight: subject’s weight in kilograms; • height: subject’s height in centimeters; • laterality: subject’s laterality, ”r” for right-handed, ”l” for left-handed; • circumference: circumference of the subject’s forearm at the radio-humeral joint height, measured in centimeters;
Mendeley Data 收录