cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3krmdww5wg.1
title: Data for: Validity of items assessing self-reported number of breaks in sitting time among children and adolescents

description: This dataset contains: - Demographical information: Education, year and month born, sex - Data on self-reported number of breaks per hour from sitting taken school, while watching TV and during other screen time activities in children and adolescents. - activPAL number of valid weekdays - activPAL average weekday sit-to-stand transitions (frequency) at school, after school and in the evening - activPAL average weekday wear time (minutes) at school, after school and in the evening
DOI: 10.5281/zenodo.3884602
title: High resolution global industrial and smallholder oil palm map for 2019

description: The data set contains 622 images of 100x100 km and covers the areas where oil palm plantations were detected at the global scale. The classification of oil palm plantations was firstly applied over a larger area where oil palm can potentially grow. The file 'grid.shp' contains the grid that covers the potential distribution of oil palm. The current data set, however, only contains the images where the presence of oil palm was confirmed. The file 'grid_withOP.shp' shows the 100x100 grid squares with presence of oil palm plantations. The classification images (in geotiff format) are the output of a convolutional neural network that takes Sentinel-1 and Sentinel-2 half-year composites as input data. The images have a spatial resolution of 10 meters and show three classes: 1) Industrial mature oil palm plantations, 2) Smallholder mature oil palm plantations, and 3) other land uses that are not mature oil palm. The file ‘Validation_points_GlobalOilPalmLayer_2019.shp’ includes the 13,252 points that were used to validate the product. Each point includes the attribute ‘Class’, which is the class assigned by visual interpretation, and the attribute ‘predClass, which reflects the predicted class.
DOI: 10.5519/qd.92zth3y2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (751938 records)
DOI: 10.6073/pasta/e41e00dc6beca46979181a41ac5ddd4b
title: Visualization of Marsh Grass Roots and Rhizomes by CT imaging: VCR salt marshes, summer 2012

description: Computer-aided tomography and image processing previously has been used to accurately and rapidly quantify coarse root mass in coastal wetlands (Davey et al. 2011. Ecological Applications). The data in this data base are being used to develop the technique to allow for resolution of fine roots. The contribution of Spartina alterniflora roots-and-rhizomes (hereafter, roots) to soil volume is measured in VCR mainland marsh soils. Soil cores were collected several different marshes with differing soil types (mineral vs peaty). The cores were scanned by computer-aided tomography and image processing was used to determine the volume of living roots. Our results show that CT imaging may also be used to quantify coarse and fine root volume in salt marsh soils and that in peaty soils, coarse roots make an important contribution to soil volume (up to 53% of the soil volume is live roots). The dataset includes an extensive manual of methods, along with instructional videos.
DOI: 10.7910/dvn/9argzn/32lk4w
title: Model_ic_45_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/as1ki5
title: Model_ic_13_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/dbhtae
title: Model_ic_47_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/dqoy7c
title: Model_oc_25_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/eusdvw
title: Model_oc_83_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/gscr6o
title: Model_oc_22_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hqauex
title: Model_oc_52_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/iddv13
title: Model_ic_27_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/l5ztos
title: Model_ic_38_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/qv2jdq
title: Model_ic_4_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/tcloqh
title: Model_oc_20_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/udmoa7
title: Model_ic_43_M&A (v0=1e13).tab

description: :unav
DOI: 10.6073/pasta/da0bec4822cf220cd11694fc9fc486e6
title: Chimney Pole Marsh Erosion-Camera Images and Video 2009-2012

description: This data consists of a time series of image and video files showing erosion at the western edge of Chimney Pole Marsh, in Northampton Co. Virginia. Images depict the edge of a salt marsh as it erodes. Images and videos have a time stamp (YYYYmmdd_HHMMss) embedded in their file name and also in the upper left of the images themselves. All dates and times are in Eastern Standard Time. Images and videos are taken once ever 30 minutes at 25 and 55 minutes after the hour. Still image JPEG (.jpg) files are 1600x1200 pixels in size. Videos are encoded as MPEG-4 (.mp4) files with a resolution of 400x304 at 8.05 frames per second. They were collected by a 2 mega-pixel Vivotek IP7161 security camera attached to a post (approximately 3-m above the marsh surface). The camera was removed when the marsh was sufficiently eroded that the camera platform was imperiled. There are some gaps in the data caused by network and electrical problems.
DOI: 10.6084/m9.figshare.11996274.v2
title: Medical Data Models

description: 20.000+ medical data models in CDISC ODM format<br>
DOI: 10.7910/dvn/9argzn/jd5mtt
title: Model_ic_18_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/kmx7bd
title: Model_oc_18_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/lnnpfg
title: Model_ic_15_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/mxjtjd
title: Model_oc_96_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ndgq1x
title: Model_ic_45_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/pwrhf7
title: Model_ic_63_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/r0rd3g
title: Model_oc_60_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ufb1dg
title: Model_ic_46_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/85pxzz
title: Model_oc_76_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/9pp9on
title: Model_oc_14_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/bc0tsm
title: Model_oc_99_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/bewuom
title: Model_ic_25_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/jix6n1
title: Model_oc_17_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/sqlapm
title: Model_oc_73_M&A (v0=1e14).tab

description: :unav
DOI: 10.17632/4jbzj3xxc5.1
title: Integration of the Russian exclave into the Baltic Sea region scientific space

description: The data present bibliometric findings on the integration of the Kaliningrad region of Russia in the Baltic region. Data is provided at the level of cities. Two basic indicators are used - publications in international collaboration and citations. Dimensions database is used for data sourcing. The research period is 2015-2019.
DOI: 10.17632/9s4wnsrb4r.1
title: Monthly Silver Price (New York and London) and Dollar Sterling Exchange rate (1878-1953)

description: The first tab of this file has 3 monthly average prices. The London silver price, the New York silver price and the Dollar-Sterling Exchange Rate. The second tab shows the sources from which this data was transcribed.
DOI: 10.17632/ybjs4ppyzf.1
title: Wheat Water Stress detection using chlorophyll fluorescence image processing
DOI: 10.5281/zenodo.3885692
title: Flying under the LiDAR: relating forest structure to bat activity, species richness, and presence

description: Dataset supporting article entitled "Flying under the LiDAR; relating forest structure to bat activity, species richness, and presence"
DOI: 10.7910/dvn/9argzn/azmq03
title: Model_ic_42_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hlng0g
title: Model_oc_9_M&A (v0=1e13).tab

description: :unav
DOI: 10.7910/dvn/9argzn/pcttek
title: Model_oc_92_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/vmiiia
title: Model_ic_53_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/wcgryc
title: Model_oc_80_M&A (v0=1e13).tab

description: :unav
DOI: 10.17632/68msvm9hxc.1
title: Nd2.68Sr1.32Mn1.2Ti1.32Fe1.48O12

description: XRD data, VESTA figures, SEM images, EDS and DRS spectra, E-J and resitivity curves, susceptibility and magnetization data.
DOI: 10.17632/bpbsfs26td.2
title: IMAGE SET FOR FLOWER DETECTION IN APPLE TREES

description: This dataset is composed of 58 apple tree images. They were taken during full bloom in an apple orchard located at National Institute of Agricultural Technology (INTA) Experimental Station, General Roca, Argentina (39° 1’ 34’’ S; 67° 44’ 24.6’’ W).The orchard was established in 2000 with ‘Red Chief’ cultivar apple trees grafted on MM111 rootstock .Trees were planted in a total area of 0.8 ha at a distance of 1.5m between trees by 4m between rows and were trained as espalier. A few days before full bloom, images were obtained from 32 trees, under two conditions: i) natural daylight between 10 am and 13 pm, ii) at night with the artificial flash light of the camera. A black curtain was unfolded behind the trees when images were obtained under daylight conditions in order to avoid interference from neighboring trees. All images were taken with an RGB digital camera (14.1 MP) at approximately 3.0 m from the tree in a 90° angle to the row. An object of known dimensions (a 15x15 cm square) was placed in each tree as a scale reference. Simultaneously, all the flowers on each tree were manually counted. Images taken by using different proximal sensors can be used to estimate the number of flowers or fruits in trees. The accuracy of those methods have been studied and tested by many researchers during the past few years with encouraging results. Since manual counting method in fruit crops is a time-consuming labor and also lead to inaccurate results, image analysis could be used as an alternative procedure. The use of images could provide reliable and consistent data.
DOI: 10.17632/fp27n5n88v.1
title: A high throughput tensile ice adhesion measurement system

description: [insert abstract from paper]
DOI: 10.17632/fp27n5n88v.2
title: A high throughput tensile ice adhesion measurement system

description: The accretion of ice to engineering and everyday surfaces can damage the iced structure or threaten safety. Designing materials with low adhesion to ice first requires the ability to accurately measure the strength of the adhesion between the surface and ice. The majority of studies in this field have focused on manipulating and measuring the adhesion strength of different materials under an imposed shear stress. From these studies, elastomers have emerged as a promising class of low ice adhesion materials due to interfacial cavitation, a tension-driven surfaces instability. However, no commercially available or readily buildable instrumentation exists to measure ice adhesion in tension. We design a high throughput, low cost device that can measure the tensile ice adhesion strength of different surfaces. The design, construction, and operation of the tensile ice adhesion measurement system are delineated. The performance of the setup is validated experimentally by varying the temperature, tensile pull-off speed, thickness of the substrate, and ice/substrate interfacial area for several metals and plastics. Ice adhesion measurements follow known laws of fracture mechanics, exemplifying the accuracy and precision of the instrument.
DOI: 10.17632/mssgvrt7rh.2
title: Enhancer-driven lncRNA BDNF-AS induce endocrine resistance and malignant progression of breast cancer. Lin et al.

description: LncRNA microarray
DOI: 10.17632/nm9jgkzxb7.1
title: Knowledge and Attitudes about Transgender Healthcare: Exploring the Perspective of Hispanic Medical Students

description: The scarcity of transgender-specific health education and training among medical schools’ curriculums are possible contributor to transgender healthcare barriers. We investigated self-reported knowledge and attitudes about transgender healthcare in a sample of medical students (N=141) from the University of Puerto Rico School of Medicine. Our study reveals that even though there is willingness to treat transgender patients among University of Puerto Rico School of Medicine medical students, there are limitations in their knowledge and training regarding specific healthcare topics.Strategies to improve medical student knowledge and training about these topics must be considered.
DOI: 10.5281/zenodo.3884898
title: GECCO Industrial Challenge 2015 Dataset: A heating system dataset for the 'Recovering missing information in heating system operating data' competition at the Genetic and Evolutionary Computation Conference 2015, Madrid, Spain

description: Dataset of the 'Industrial Challenge: Recovering missing information in heating system operating data' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 11th-15th 2015, Madrid, Spain The task of the competition was to recover (impute) missing information in heating system operation time series'. Included in zenodo: - dataset of heating system operational time series with missing values - additional material and descriptions provided for the competition The competition was organized by: M. Friese, A. Fischbach, C. Schlitt, T. Bartz-Beielstein (TH Köln) The dataset was provided by: Major German heating systems supplier (S. Moritz) Industrial Challenge: Recovering missing information in heating system operating data The Industrial Challenge will be held in the competition session at the Genetic and Evolutionary Computation Conference. It poses difficult real-world problems provided by industry partners from various fields. Highlights of the Industrial Challenge include interesting problem domains, real-world data and realistic quality measurement Overview In times of accelerating climate change and rising energy costs, increasing energy efficiency and reducing expenses becomes a high priority goal for businesses and private households alike. Modern heating systems record detailed operating data and report this data to a central system. Here, the operating data can be correlated and analyzed to detect potential optimization opportunities or anomalies like unusually high energy consumption. Due to various difficulties this data might be incomplete which makes accurate forecasting even harder. Goal of the GECCO 2015 Industrial Challenge is to develop capable procedures to recover missing information in heating system operating data. Adequate recovery of the missing data enables more accurate forecastings which allow for intelligent control of the heating systems, and therefore contributes to a positive energy balance and reduced expenses. <strong>Submission deadline:</strong><br> June 22, 2015 <strong>Official Webpage:</strong><br> www.spotseven.de/gecco-challenge/gecco-challenge-2015/
DOI: 10.5281/zenodo.3884899
title: GECCO Industrial Challenge 2015 Dataset: A heating system dataset for the 'Recovering missing information in heating system operating data' competition at the Genetic and Evolutionary Computation Conference 2015, Madrid, Spain

description: Dataset of the 'Industrial Challenge: Recovering missing information in heating system operating data' competition hosted at The Genetic and Evolutionary Computation Conference (GECCO) July 11th-15th 2015, Madrid, Spain The task of the competition was to recover (impute) missing information in heating system operation time series'. Included in zenodo: - dataset of heating system operational time series with missing values - additional material and descriptions provided for the competition The competition was organized by: M. Friese, A. Fischbach, C. Schlitt, T. Bartz-Beielstein (TH Köln) The dataset was provided by: Major German heating systems supplier (S. Moritz) Industrial Challenge: Recovering missing information in heating system operating data The Industrial Challenge will be held in the competition session at the Genetic and Evolutionary Computation Conference. It poses difficult real-world problems provided by industry partners from various fields. Highlights of the Industrial Challenge include interesting problem domains, real-world data and realistic quality measurement Overview In times of accelerating climate change and rising energy costs, increasing energy efficiency and reducing expenses becomes a high priority goal for businesses and private households alike. Modern heating systems record detailed operating data and report this data to a central system. Here, the operating data can be correlated and analyzed to detect potential optimization opportunities or anomalies like unusually high energy consumption. Due to various difficulties this data might be incomplete which makes accurate forecasting even harder. Goal of the GECCO 2015 Industrial Challenge is to develop capable procedures to recover missing information in heating system operating data. Adequate recovery of the missing data enables more accurate forecastings which allow for intelligent control of the heating systems, and therefore contributes to a positive energy balance and reduced expenses. <strong>Submission deadline:</strong><br> June 22, 2015 <strong>Official Webpage:</strong><br> www.spotseven.de/gecco-challenge/gecco-challenge-2015/
DOI: 10.7910/dvn/9argzn/6awcxv
title: Model_oc_36_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/b4gjoa
title: Model_oc_24_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ex1lk9
title: Model_oc_26_V1 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/hfevn9
title: Model_ic_9_M&A (v0=1e12).tab

description: :unav
DOI: 10.17632/j7ydr6snmg.1
title: Data from: How do brood parasitic cuckoos reconcile conflicting environmental and host selection pressures on egg size investment?
DOI: 10.17632/mgb77k4z85.3
title: Dataset for airway managed by emergency physicians or anaesthesiologists in trauma patients: A retrospective cohort analysis of outcomes

description: This data is generated for a registry-based unmatched cohort study. We identified trauma patients requiring intubation during resuscitation in the emergency department, then extracted relevant trauma related parameters and outcome data from the trauma registry of the hospital and patients’ health records. The hospital trauma registry captures any patients who met trauma resuscitation team activation criteria, who were triaged as critical or emergency in the ED, who died (excluding death prior to arrival to ED) and were admitted to intensive care units (ICU)/high dependency units (HDU). Injury and outcome data were prospectively collected and entered into the registry.
DOI: 10.17632/vw427wzzkk.1
title: Data for: COVID-19 Dataset: Worldwide Spread Log Including Countries First Case And First Death

description: Contain information related to COVID-19 pandemic. Specially, figure out about the First Case and First Death information for every single country. Can describe the spreading chain of COVID-19 among different country and region.
DOI: 10.17632/vw427wzzkk.2
title: Data for: COVID-19 Dataset: Worldwide Spread Log Including Countries First Case And First Death
DOI: 10.17632/ycxvv74dyv.1
title: Data for: 3621735 Evaluation of the "Tipping Point" to the Widespread Uptake of Battery Electric Vehicles in China

description: This data set is the raw data gathered from various online sources with an aim to contribute to the creation of the paper. This data set includes the following data: 1. China Battery Electric Vehicles Sales 2013-2020 2. China New Energy Vehicles Sales 2013-2020 3. China Overall Passenger Vehicle Sales 2013-2020 4. General Power Battery Price Trend 2010-2019 5. Class A00, A, B, and C Vehicles Purchasing Price Parity Comparison Example 6. Class A00, A, B, and C Vehicles Cross Comparison within Their Own Class 7. General Conclusion Graphing to Purchasing Price Parity 8. Total Cost of Ownership from Various Driving Modes from Different Class Models 9. General TCO Graphing Conclusions 10. Other Major Countries BEV's Penetration Rate (Norway, Switzerland) 11. Major OEMs Electrification Strategies
DOI: 10.25345/c5w700
title: MassIVE MSV000085564 - Evaluation of the effects of sample size on affinity purification-mass spectrometry
title: An affinity purification experiment was carried out to evaluate the effects of sample size on the performance of AP-MS experiments. The Arp2/3 complex was affinity purified from Saccharomyces cerevisiae cells containing GFP-tagged Arc35, a core subunit of the complex, in-gel digested by trypsin, and label-free differential mass spectrometry was used for the unbiased analysis of detected molecular features. By comparing the performance of the full dataset (n=6 affinity purifications per condition) and resampled data subsets of different sample sizes (n=3 to 5 affinity purifications per condition), we showed that larger sample size not only increased the number of significant known interactors but also bettered their significance ranking.
DOI: 10.7910/dvn/3mzaja/p2dnfq
title: Forum_de_editores_de_Historia.v.1.xlsx

description: :unav
DOI: 10.7910/dvn/9argzn/52x6m7
title: Model_ic_36_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/68db5g
title: Model_oc_59_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/ez8f28
title: Model_ic_4_V3 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/fk43mj
title: Model_oc_57_M&A (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/kmfzus
title: Model_oc_91_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/mc1ku3
title: Model_oc_97_M&A (v0=1e12).tab

description: :unav
DOI: 10.14457/kku.the.1995.102
title: ความสัมพันธ์ระหว่างเจตคติ การคล้อยตามกลุ่มอ้างอิงและเจตนาเชิงพฤติกรรมในการเป็นตำรวจ ของข้าราชการตำรวจชั้นประทวน สังกัดตำรวจภูธรจังหวัดขอนแก่น
DOI: 10.14457/kku.the.1995.103
title: การศึกษาปัญหาและแนวทางในการปรับปรุงงาน ด้านการนิเทศการศึกษาระดับก่อนประถมศึกษา ในโรงเรียนประถมศึกษา สังกัดสำนักงานการประถมศึกษาจังหวัดนครราชสีมา
DOI: 10.14457/kku.the.1995.104
title: ผลของการใช้ตัวแบบบุคคลจริงและบทบาทสมมติ เพื่อพัฒนาความรับผิดชอบของนักเรียนชั้นมัธยมศึกษาปีที่ 1 ในโรงเรียนวิจิตราพิทยา จังหวัดอุบลราชธานี
DOI: 10.17632/4xkdk8gnp4.3
title: Dataset Accessible Serious Games

description: Currently, due to the COVID-19 pandemic, serious games are an excellent learning resource with benefits for students to learn in a fun way. We present a set of data related to the literature review on accessibility in serious games. We apply PRISMA, the results revealed that not all serious games use the standards defined by WCAG 2.1 and 2.2 specific to a video game.
DOI: 10.17632/8td43tmz9c.1
title: Stimulate brain to enhance mathematical performance in school going developmental dyscalculic children

description: This data used to complete quasi experimental study on Stimulate brain to enhance mathematical performance in school going developmental dyscalculic children. 08 to 17 years aged children recruited from special school who is affected with developmental dyscalculia as per the inclusion criteria.
DOI: 10.17632/wk6rkmdgrf.1
title: Fetal and human PCG Data with the first and second heart tone segmentation for pNLF algorithm testing

description: Сontains phonocardiograms of the fetus and/or human, the first and second heart tones segmentation on the fetus and/or human phonocardiograms, the phonocardiograms after preprocessing and processing by the pNLF algorithm. The data can be used to reproduce the pNLF algorithm testing, or to test own algoriths for hearttone segmentation.
DOI: 10.7910/dvn/9argzn/5kdshm
title: Model_ic_53_M&A (v0=1e12).tab

description: :unav
DOI: 10.7910/dvn/9argzn/63q3nq
title: Model_oc_43_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/65xg3r
title: Model_oc_37_V2 (v0=1e14).tab

description: :unav
DOI: 10.7910/dvn/9argzn/gdzsst
title: Model_ic_61_M&A (v0=1e12).tab

description: :unav
DOI: 10.14457/kku.the.1995.105
title: แรงจูงใจในการเข้าร่วมกิจกรรมนักศึกษา ของนักศึกษามหาวิทยาลัยขอนแก่น
DOI: 10.7910/dvn/9argzn/7gmops
title: Model_ic_57_M&A (v0=1e14).tab

description: :unav