cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5ec45bbb43ee4
title: Feral Pig Control Difficulty Index

description: The control difficulty index (CDI) has been developed to provide a spatial assessment of the estimated difficulty of enacting an African Swine Fever (ASF) suppression program given an outbreak for any region across Australia. This layer is estimated at a spatial grain of 30-arcseconds (approx. 1 km2). The index provides a representation of the estimated difficulty for human enacted control actions and does not include information on the predicted densities of feral pigs or their ecology/behaviours given different habitat types. As such, the index does not integrate difficulties of control that could arise from the ability to find and kill pigs or the efficacy of any particular control strategy (e.g. baiting vs shooting) given differences in terrain. Using satellite remote sensing data products and distance measures, this index combines several factors that will influence the difficulty of undertaking control across Australia by capturing the difficulty in mobilising resources into a region, the difficulty in undertaking ground control once arrived in the infected zone and the ability to undertake aerial control and/or carcass removal. To achieve this the index integrates measure that include, terrain ruggedness, road and track networks, land use type and canopy cover and remoteness from population centres. This Index was developed to support national planning for African Swine Fever and was developed rapidly at a coarse resolution. The index can be modified for local conditions and the base code is available on request.
DOI: 10.3886/e119523v1
title: Design and Statistical Power for Planning Cluster Randomized Trials Aimed at Improving Student Science Achievement and Science Teacher Outcomes (Data)

description: Abstract:With the increasing demand for evidence-based research on teacher effectiveness and improving student achievement, more impact studies are being conducted to examine the effectiveness of professional development (PD) interventions. Cluster randomized trials (CRTs) are often carried out to assess PD interventions that aim to improve both teacher and student outcomes. Due to the different design parameters (i.e., intraclass correlation and R2) and benchmark effect sizes associated with the student and teacher outcomes, two power analyses are necessary for planning CRTs that aim to detect both teacher and student effects in one study. These two power analyses are often conducted separately without considering how design choices to power the study to detect student effects may impact design choices to power the study to detect teacher effects and vice-versa. In this study, we consider strategies to maximize the efficiency of study design when both student and teacher effects are of primary interest.
DOI: 10.17632/77ff732y5m.1
title: Candidate Interstellar Meteoroid Radar Data

description: Dataset for 5 interstellar meteoroid candidates collected with the Canadian Meteor Orbit Radar (CMOR). Includes amplitude-pulse profiles, radar receiver station location information, computed trajectory and orbit information
DOI: 10.3886/e114476v1-24463
title: Replication data for: Women's Empowerment, the Gender Gap in Desired Fertility, and Fertility Outcomes in Developing Countries

description: We document evidence on preferences for childbearing in developing countries. Across countries, men usually desire larger families than women do. Within countries, we find wide dispersion in spouses' desired fertility: there are many couples whose ideal family size differs by five children or more. This disagreement between spouses suggests that the extent to which women are empowered should matter for fertility choices. We point to evidence at both the macro and micro levels that this is indeed the case. We conclude that taking account of household bargaining and women's empowerment in analyses of fertility is an important challenge for research.
DOI: 10.3886/e119523
title: Design and Statistical Power for Planning Cluster Randomized Trials Aimed at Improving Student Science Achievement and Science Teacher Outcomes (Data)

description: Abstract:With the increasing demand for evidence-based research on teacher effectiveness and improving student achievement, more impact studies are being conducted to examine the effectiveness of professional development (PD) interventions. Cluster randomized trials (CRTs) are often carried out to assess PD interventions that aim to improve both teacher and student outcomes. Due to the different design parameters (i.e., intraclass correlation and R2) and benchmark effect sizes associated with the student and teacher outcomes, two power analyses are necessary for planning CRTs that aim to detect both teacher and student effects in one study. These two power analyses are often conducted separately without considering how design choices to power the study to detect student effects may impact design choices to power the study to detect teacher effects and vice-versa. In this study, we consider strategies to maximize the efficiency of study design when both student and teacher effects are of primary interest.
DOI: 10.5281/zenodo.3666088
title: ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica

description: We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (&gt;30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from a combination of European Remote Sensing Satellite 1 radar (ERS-1) and Ice, Cloud and Land Elevation Satellite (ICESat) laser altimetry datasets (Bamber et al., 2009) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago.
description: {"references": ["Bamber, J., Gomez-Dans, J., and Griggs, J.: A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data\u2013Part 1: Data and methods, The Cryosphere, 3, 101-111, 2009."]}
DOI: 10.17632/9cs2rsrt3s.1
title: Magnetic phase simulations

description: The dataset contains simulated data of different combinations of magnetic phases. It can be used to plot theoretical specimens on KmLT vs KmRT and KmLT/KmRT vs KmRT plots.
DOI: 10.17632/9wjpfdsf5b.1
title: FootballBettorsSMrawdata

description: The following data sets contains the raw data and tidied data from an online study which asked participants to rate social media betting adverts on; their likelihood to be on the advertised bet, their confidence in the advertised bet and how much they would be willing to stake on it. Advertised bets differed in terms of bet complexity (low, medium, high) and the type of account which they were advertised upon. After removing participants who had completed less than 50% of the survey or had not answered more than one advert within each category (e.g affiliate low complexity), findings demonstrated a main effect of bet complexity on each DV and a significant interaction between type and complexity upon bet likelihood and confidence. This showed that participants were more confident and likely to bet on medium complexity bets presented on affiliate accounts compared to operator accounts, but not for high or low complexity bets.
DOI: 10.21227/4fyc-jj74
title: CoMMonS: Challenging Microscopic Material Surface Dataset

description: As one of the research directions atOLIVES Lab @ Georgia Tech, we focus on recognizing textures and materials in real-world images, which plays an important role in object recognition and scene understanding.Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e.g. surface smoothness) of materials, i.e., computational material characterization, which moves a step further beyond material recognition. For this purpose, we introduce a large, publicly available dataset named challenging microscopic material surface dataset (CoMMonS).We utilize a powerful microscope to capture high-resolution images with fine details of fabric surfaces. The CoMMonS dataset consists of 6,912 images covering 24 fabric samples in a controlled environment under varying imaging conditions such as lighting, zoom levels, geometric variations, and touching directions. This dataset can be used to assess the performance of existing deep learning-based algorithms and to develop our own method for material characterization in terms of fabric properties such as fiber length, surface smoothness, and toweling effect.Please refer to ourGitHub pagefor code, papers, and more information.
DOI: 10.17632/sfwzw25tjn.1
title: Mapping 50 Years of Design for Childhood Mobility

description: Contributions to the field of inclusive paediatric mobility (IPM) design between 1970 and 2020 are recorded chronologically across five categories of Theoretical (T), Methodological (M), Empirical (E), Interventional contributions which made it to market or were commercialised (I.1), and Interventional contributions which remained as concepts or prototypes (I.2). In total, 56 results were deemed eligible for inclusion from electronic database searches. These findings were shared with eight IPM experts (four paediatric therapists and four paediatric mobility designers, each with a minimum of 15 years of experience in their field) for review and input, leading to a further five contributions being included, bringing the total number of contributions deemed eligible for inclusion to 61. Out of the total, 59% (N=36) were classified as interventional, 23% (N=14) were classified as theoretical, 11% (N=7) were classified as empirical, and 7% (N=4) were classified as methodological. Top reasons for excluding contributions included: focus on passive mobility only, focus on adult mobility only, interventional designs with no evidence of intention to commercialise or implement, contributions lacking novelty or classed as ‘copycat’, and contributions which display only incremental updates or improvements to existing contributions. The majority of the recorded contributions came from North America, the United Kingdom, and Scandinavia. Of the 36 recorded interventional design contributions, 26 reached commercialisation (I.1) and 10 remained at concept or prototype stage (I.2). Of the 26 that reached commercialisation, at least six were discontinued in less than 15 years. Seven out of the 10 interventional contributions which remained as concepts, were created by design or engineering university students with limited industry experience. Although many of the interventional contributions involved stakeholders from other disciplines throughout the design process, 30 out of 36 were led by stakeholders from Design or Engineering, with the exception of four led by Occupational Therapists, one led by a Kinesiologist, and one founded by a philanthropist. None of the 36 interventional contributions could be classified under ‘user aware approach’ (see section 2.1), whilst seven were approached with a ‘modular/customisable approach’ and the remaining 29 were designed with a ‘specialist assistive approach’. Seemingly user-aware IPM interventions such as go-karts and tricycles (which are serendipitously usable by some children with mobility disabilities) were excluded from the review due to being developed without consideration for mobility-impaired children in mind. Of the 36 interventional contributions, 21 were designs of power chairs, seven were walking aids or exoskeletons, and eight were other products e.g. self-powered mobility devices and pieces of technology.
DOI: 10.17632/smxkyhtdvj.2
title: Random Forest Nowcasts

description: A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of precipitation predictions from radar nowcasts and numerical weather predictions (AROME), as well as other variables from the numerical weather predictions. The results demonstrate that the random forest model can improve the precipitation predictions by the radar nowcasts and the numerical weather predictions. This dataset provides the predictand (i.e. precipitation observation) and 17 predictors (radar nowcasts and AROME variables) for building a random forest model to process the radar-based nowcasts at 41 stations in Norway for the year 2017 and 2018. The geographic information of the stations is also provided.
DOI: 10.21227/w5by-8k32
title: CoMMonS: Challenging Microscopic Material Surface Dataset

description: As one of the research directions atOLIVES Lab @ Georgia Tech, we focus on recognizing textures and materials in real-world images, which plays an important role in object recognition and scene understanding.Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e.g. surface smoothness) of materials, i.e., computational material characterization, which moves a step further beyond material recognition. For this purpose, we introduce a large, publicly available dataset named challenging microscopic material surface dataset (CoMMonS).We utilize a powerful microscope to capture high-resolution images with fine details of fabric surfaces. The CoMMonS dataset consists of 6,912 images covering 24 fabric samples in a controlled environment under varying imaging conditions such as lighting, zoom levels, geometric variations, and touching directions. This dataset can be used to assess the performance of existing deep learning-based algorithms and to develop our own method for material characterization in terms of fabric properties such as fiber length, surface smoothness, and toweling effect.Please refer to ourGitHub pagefor code, papers, and more information.
DOI: 10.5519/qd.l2rzqweo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2340 records)
DOI: 10.17632/x4t94w9njt.1
title: SARS-CoV-2 GISAID isolates (2020-05-05) genotyping VCF

description: VCF file containing filtered mutated sites in SARS-CoV-2 genomes obtained from GISAID Epi-CoV. The columns correspond to viral genome accession ID, nucleotide position in the genome, mutation ID (left blank in all rows), reference nucleotide, potential mutations (numbered in order of appearance), quality, filter, and information columns (all left blank), format (GT in all rows), column corresponding to reference genome (all 0, referring to reference nucleotide column), and columns corresponding to isolate genomes, with each row identifying the nucleotide in the POS column, and whether it is non-mutant (0), or if mutant, which mutation it carries (an integer value equal to or greater than 1, corresponding to the number of appearance of the mutation in the ALT column. The file is tab delimited, with 5892 rows including the names, and 11911 columns. The file was generated to test the hypothesis whether mutations in the RdRp protein of SARS-CoV-2 significantly affect the mutation rate of the virus by examining their correlation to the mutation load of the membrane or envelope proteins. The results indicate that the most common mutation, 14408C&gt;T, increases the mutation rate, while the other common mutations can lower the mutation rate. These results were obtained by examining the number of isolates with a standard nucleotide call disagreeing with the reference sequence for each mutated nucleotide, and separating them into categorical variables, to be analysed along with isolate date and location.
DOI: 10.21227/m7c5-9036
title: Boğaziçi University DDoS Dataset

description: Boğaziçi University DDoS dataset (BOUN DDoS) is generated in Boğaziçi University via Hping3 traffic generator software by flooding TCP SYN, and UDP packets. This dataset includes attack-free user traffic as well as attack traffic and suitable for evaluating network-based DDoS detection methods. Attacks are towards one victim server connected to the backbone router of the campus. Attack packets have randomly generated spoofed source IP addresses. The data-trace was recorded on the backbone and included over 4000 active hosts.
DOI: 10.5281/zenodo.3815064
title: ICECAP-2 consortium processed airborne ice thickness data from the Princess Elizabeth Land, East Antarctica

description: Airborne ice thickness data from the Princess Elizabeth Land (PEL), East Antarctica was collected in four separate seasons. During the first ICECAP2 season (2015/16), a survey acquiring exploratory ‘fan-shaped’ radial profiles to maximize range and data return on each flight was completed across the broadly unknown region of PEL. These flight lines extend from the coastal Progress Station to the interior ice-sheet divide at Ridge B. In the second and third seasons (2016/17 and 2017/18), a survey ‘grid’ was completed, targeting enhanced resolution over a proposed subglacial lake and a series of basal canyons (Jamieson et al., 2016). In the fourth season (2018/19), a few additional transects were completed to fill the largest data gaps within aircraft range. Field data acquisition was achieved using the “Snow Eagle 601” aero geophysical platform; a BT-67 airplane operated by the Polar Research Institute of China for the Chinese National Antarctic Research Expedition (CHINARE) program. The suite of instruments configured on the airplane include a phase-coherent radio-echo sounder system, operating at a central frequency of 60 MHz and a peak power of 8 kW, making it capable of penetrating deep (&gt;3 km) ice in Antarctica. After applying coherent integration and pulse compression at a bandwidth of 15 MHz, which gave an along-track spatial sampling rate and a vertical resolution of ~10 m and ~5.6 m, respectively.
description: {"references": ["Jamieson, S. S., Ross, N., Greenbaum, J. S., Young, D. A., Aitken, A. R., Roberts, J. L., Blankenship, D. D., Bo, S., and Siegert, M. J.: An extensive subglacial lake and canyon system in Princess Elizabeth Land, East Antarctica, Geology, 44, 87-90, 2016."]}
DOI: 10.17632/7dsg8vzj9c.3
title: INCORPORATING MEASURES TO REDUCE GROUND VIBRATION PRODUCED BY BLASTING FOR QUARRY SAFETY MANAGEMENT: A CASE STUDY

description: Therefore 15experimental bench blasts are performed at Wahola limestone quarry with different explosive ratios and drilling parameters to study the results of ground vibration. The objective of this study is to control ground vibration for quarry safety management. During this study ground vibration of experimental blasts is recorded to study their relation with quantity of explosives, ratios of explosives and drilling parameters. To achieve this objective, data is carefully checked and recorded for all important parameters of experimental blasts. Ground vibration level for each blast is recorded separately by using micro mate. On the basis of results of these experimental blasts, new blasting parameters are suggested to control environmental hazards. Explosive for experimental blast was calculated very carefully. All possible hazards were identified and mitigation measures were taken before charging of explosive.
DOI: 10.5281/zenodo.3835481
title: Codes and datasets related to https://doi.org/10.5194/gmd-2020-13

description: Codes and datasets related to https://doi.org/10.5194/gmd-2020-13, discussion paper.
DOI: 10.5281/zenodo.3835482
title: Codes and datasets related to https://doi.org/10.5194/gmd-2020-13

description: Codes and datasets related to https://doi.org/10.5194/gmd-2020-13, discussion paper.
DOI: 10.17632/wwnrg9hd7m.2
title: Análisis geológico-estructural superficial/Distrito Minero Pachuca-Real del Monte

description: Este conjunto de datos contiene fotografías durante trabajo de investigación geológico-estructural superficial de la Sierra de Pachuca (SP), en la cual se encuentra ubicado el Distrito Minero Pachuca-Real del Monte (DMPRM), perteneciente a la porción oriental de la Faja Volcánica Transmexicana (FVTM), Centro-Meridional del Estado de Hidalgo y Centro Oriental de México. Considerado uno de los yacimientos más importantes a nivel mundial por su producción de Ag-Au.
DOI: 10.21227/6kcp-pq30
title: CoMMonS: Challenging Microscopic Material Surface Dataset

description: As one of the research directions atOLIVES Lab @ Georgia Tech, we focus on recognizing textures and materials in real-world images, which plays an important role in object recognition and scene understanding.Aiming at describing objects or scenes with more detailed information, we explore how to computationally characterize apparent or latent properties (e.g. surface smoothness) of materials, i.e., computational material characterization, which moves a step further beyond material recognition. For this purpose, we introduce a large, publicly available dataset named challenging microscopic material surface dataset (CoMMonS).We utilize a powerful microscope to capture high-resolution images with fine details of fabric surfaces. The CoMMonS dataset consists of 6,912 images covering 24 fabric samples in a controlled environment under varying imaging conditions such as lighting, zoom levels, geometric variations, and touching directions. This dataset can be used to assess the performance of existing deep learning-based algorithms and to develop our own method for material characterization in terms of fabric properties such as fiber length, surface smoothness, and toweling effect.Please refer to ourGitHub pagefor code, papers, and more information.
DOI: 10.14457/cu.the.2016.20
title: ผลของโปรแกรมส่งเสริมการกำกับตนเองต่อพฤติกรรมการบริโภค และขนาดรอบเอวของผู้ป่วยสูงอายุโรคเบาหวานที่มีภาวะอ้วน
DOI: 10.14457/cu.the.2017.69
title: พัฒนาการของการรับรองสิทธิและการจำกัดสิทธิในทรัพย์สินในระบบกฎหมายไทย
DOI: 10.14457/cu.the.2017.70
title: การพัฒนาช่วงความสนใจและสมาธิของนักเรียนระดับชั้นประถมศึกษาปีที่ 1 โดยใช้กิจกรรมการเล่น
DOI: 10.14457/cu.the.2017.71
title: พยาธิกำเนิดระดับโมเลกุลของการลดระดับการแสดงออกของ G6PD ในเซลล์มะเร็งปอด
DOI: 10.17632/c378wsmy58.1
title: Geochemical data sets on the Enugu and Nkporo shales of the Anambra Basin, Southeastern Nigeria

description: Geochemical Data sets for sedimentary basin analysis
DOI: 10.17632/pvb5gbk2wx.1
title: Mapping among number representations

description: This data is from a larger project, the Study of Language and Math, at the University of Connecticut. It consists of children's (ages 5-9) performances on our mapping task that assessed their ability to translate between three number representations: Arabic numerals, number words, and quantities (e.g., dot arrays). We analyzed children's performance on different mappings and set sizes (measured by proportion correct) across three age groups: 5-years-old, 6-years-old, and 7 to 9-years-old. 5-year-olds showed the most variability in overall performance and set size effects, performing best on numeral-word mappings and equivalently on quantity-numeral and quantity-word mappings. Children 6 years old and older barely had any set size effects and performed equally well on numeral-word and quantity-numeral, but remained less skilled at mapping among quantities and words.
DOI: 10.14457/cu.the.2014.1437
title: การแยกวินิจฉัยและการก่อโรคของเชื้อคริสซีโอแบคทีเรียม อินโดโลจีเนส ในปลาทับทิม (โอรีโอโครมีส เอสพี)
DOI: 10.14457/cu.the.2014.1438
title: การพัฒนาวิธีที่รวดเร็วในการตรวจเชื้อ Helicobacter pylori ที่ดื้อยา คลาริโธรมัยซิน ด้วยเทคนิค Loop-mediated isothermal amplification ร่วมกับการตัดด้วยเอนไซม์ตัดจำเพาะ
DOI: 10.14457/cu.the.2015.13
title: การตรวจการกลายพันธุ์ของยีน K-ras ในตัวอย่างชิ้นเนื้อที่ฝังพาราฟิน ของผู้ป่วยมะเร็งลำไส้ใหญ่และไส้ตรง โดยวิธี Multiplex Allele-Specific Polymerase Chain Reaction