cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25612/837.al72581lw7md
title: Greater Houston Land Cover Change Dataset: 1997-2017

description: Land cover data for the H-GAC 13-county area at 30m spatial resolution, annual temporal resolution, 21-year temporal extent, and nine class thematic resolution. GeoTIFF format.
DOI: 10.17632/52fxfdcb5z.1
title: Jones et al, 2018 - Mendeley figures
DOI: 10.17632/snpbvgfgcw.1
title: Data for: Intuitive Blaming of Peeping Toms Versus Cyber Peepers

description: In a series of studies, we examine the existence and factors underlying a blaming discrepancy between responses to a cyber peeper and to a peeping Tom. The first study demonstrates reduced blame for a cyber peeper, and the subsequent eight studies hone in on major differences between the cyber peeping and peeping Tom scenarios that may contribute to a blaming discrepancy, such as the effort involved on the part of the peeper and the risk-taking on the part of the victim. Four of eight such factors are found to impact blame. We then compare responses to cyber peeping and peeping Tom scenarios that are roughly matched on these four factors to assess whether such matching equalizes blame. Finally, we compare blame for the viewing of a private nude photo on the Internet with blame for the viewing of a private nude photo printed on paper in order to assess whether blame is influenced by the involvement of Internet technology itself, rather than by the other factors the technology brings with it. Study 1 examines the existence and the magnitude of any blaming discrepancy by comparing blame for a regular peeping Tom with blame for a cyber peeper. Studies 2 through 9 explore differences between the cyber peeping and peeping Tom scenarios that might contribute to a blaming discrepancy. Study 2 - Victim Celebrity Status Study 3 - Higher vs Lower Victim Risk Study 4 - Higher vs Lower Perp. Effort Study 5 - Prurience vs Curiosity Study 6 - More vs Fewer other peepers Study 7 - Still vs Live-Streaming Media Study 8 - Distance Study 9 - Middleman Involvement Study 10 matches scenarios on factors found to impact blame in these scenarios to test whether such matching equalizes blame. Study 11 compares photo viewing in person which photo viewing on the internet to test whether the internet itself impacts blame.
DOI: 10.17632/tg2622h9dd.2
title: Intramembrane ionic protein-lipid interaction regulates integrin structure and function

description: Protein transmembrane domains (TMDs) are generally hydrophobic but our bioinformatics analysis shows that many TMDs contain basic residues at terminal regions. Physiological functions of these membrane-snorkeling basic residues are largely unclear. Here we show that a membrane-snorkeling Lys residue in integrin αLβ2 (also known as LFA-1) regulates transmembrane heterodimer formation and integrin adhesion through ionic interplay with acidic phospholipids and Ca2+ in T cells. The amino group of the conserved Lys ionically interacts with the phosphate group of acidic phospholipid to stabilize αLβ2 transmembrane association, thus keeping the integrin at low-affinity conformation. Intracellular Ca2+ uses its charge to directly disrupt this ionic interaction, leading to the transmembrane separation and the subsequent extracellular domain extension to increase adhesion activity. This Ca2+-mediated regulation is independent on the canonical Ca2+ signaling or integrin inside-out signaling. Our work therefore showcases the importance of intramembrane ionic protein-lipid interaction and provides a new mechanism of integrin activation.
DOI: 10.17632/yj333czkbw.2
title: Gastric Emptying During Labor at Term: Non-inferiority Clinical Trial

description: Data collected for https://clinicaltrials.gov/ct2/show/NCT03280706
DOI: 10.25612/837.5mloxpp803wq
title: Greater Houston Land Cover Change Dataset: 1997-2017

description: Land cover data for the H-GAC 13-county area at 30m spatial resolution, annual temporal resolution, 21-year temporal extent, and nine class thematic resolution. Esri binary grid format.
DOI: 10.17632/ns8sk4md4h.1
title: Data for: Embedded real time lane detection algorithm based on stripe feature extraction near candidate points

description: These files contain some output images of the proposed algorithm and quantitative data and its analytics.
DOI: 10.17632/tg2622h9dd.3
title: Intramembrane ionic protein-lipid interaction regulates integrin structure and function

description: Protein transmembrane domains (TMDs) are generally hydrophobic but our bioinformatics analysis shows that many TMDs contain basic residues at terminal regions. Physiological functions of these membrane-snorkeling basic residues are largely unclear. Here we show that a membrane-snorkeling Lys residue in integrin αLβ2 (also known as LFA-1) regulates transmembrane heterodimer formation and integrin adhesion through ionic interplay with acidic phospholipids and Ca2+ in T cells. The amino group of the conserved Lys ionically interacts with the phosphate group of acidic phospholipid to stabilize αLβ2 transmembrane association, thus keeping the integrin at low-affinity conformation. Intracellular Ca2+ uses its charge to directly disrupt this ionic interaction, leading to the transmembrane separation and the subsequent extracellular domain extension to increase adhesion activity. This Ca2+-mediated regulation is independent on the canonical Ca2+ signaling or integrin inside-out signaling. Our work therefore showcases the importance of intramembrane ionic protein-lipid interaction and provides a new mechanism of integrin activation.
DOI: 10.25919/5bc65afbcec4b
title: Parkes observations for project P456 semester 2018OCTS_01

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5281/zenodo.1464356
title: Ld Estimated From 1K Genomes Ceu Population

description: These data contain estimated pairwise r^2 for variants with allele frequency greater than 0.05 in the 1000 Genomes CEU population. They were estimated using LDshrink (https://github.com/stephenslab/LDshrink). R^2 is only reported when the estimate is greater than 0.1.

 

For each chromosome there are two files:

chr&lt;chr&gt;_AF0.5_0.1.RDS is an R object containing a data frame with three columns: rowsnp, colsnp, and r2

chr&lt;chr&gt;_AF0.5_snpdata.RDS is an R object containing a data frame with information for every SNP meeting the allele frequency cutoff.
DOI: 10.5281/zenodo.1464357
title: Ld Estimated From 1K Genomes Ceu Population

description: These data contain estimated pairwise r^2 for variants with allele frequency greater than 0.05 in the 1000 Genomes CEU population. They were estimated using LDshrink (https://github.com/stephenslab/LDshrink). R^2 is only reported when the estimate is greater than 0.1.

 

For each chromosome there are two files:

chr&lt;chr&gt;_AF0.5_0.1.RDS is an R object containing a data frame with three columns: rowsnp, colsnp, and r2

chr&lt;chr&gt;_AF0.5_snpdata.RDS is an R object containing a data frame with information for every SNP meeting the allele frequency cutoff.
DOI: 10.17632/drsfcm7nhk.1
title: dados

description: Growth variables
DOI: 10.25919/5bc65b29b6f87
title: Parkes observations for project P892 semester 2018OCTS_01

description: SUPERBx looks at the highest Galactic latitudes in a search for pulsars and fast radio bursts (FRBs). We use optimised GPU codes and supercomputing to search for these, making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. Our pulsar discoveries are typically nearby scintillating sources, intermittent sources and those in interesting binary systems. Our FRB discoveries have discovery lags of ~1 second, rather than months/years and these feed rapid alerts to the world-wide follow-up community via a dedicated VOEvent format an Astronomer's Telegrams. The goal of this is to allow localisation of the discovered FRBs. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.6073/pasta/f185bcc3ad4f193987892f088e2a7d60
title: WSC - Temperature and relative humidity data from 150 locations in and around Madison, Wisconsin from 2012 -2016

description: To study the urban heat island and other local climatic processes in Madison, Wisconsin, in March 2012, 135 HOBO U23 Pro v2 temperature/relative humidity sensors in RS1 solar shields (Onset Computing) were attached to streetlight and utility poles in and around Madison, Wisconsin. Additional locations were added in 2012 and 2013 for a total of 150 locations. The sensors were installed at a height of 3.5 meters, and they automatically record instantaneous temperature and relative humidity every 15 minutes. This dataset includes all temperature/humidity measurements and a separate file with the coordinates of each measurement location.
DOI: 10.17632/4hczg93xkp.2
title: Data and code for: Captive jays exhibit reduced problem-solving performance compared to wild conspecifics

description: These files include the data used in this manuscript, and the code necessary to reproduce all analyses and figures. The excel file has 5 tabs. The first is the raw data on subject interactions with the puzzle box during trials. Second is the data reformatted for the survival analysis. The third tab lists all dominance interactions at a monopolizable food source. The fourth tab gives the boldness scores (closest approach and order of first approach to a novel object), when known, for subjects in this experiment. The last tab lists all of the IDs of Mexican Jays in this population, and their flock membership for the analysis of dominance ratings. Raw data column details: Flock - Identifier of the social group from which each subject came Treatment - C refers to subjects in captivity, F refers to subjects in the wild ID - The unique identifier for the subject, based on color band combinations Trial - Which trial (max of 6) these interaction data come from Seconds w/in 2m - the amount of time in seconds that the subject spent within 2m of the puzzle box on that trial Attempts - The number of times a subject touched a door on the puzzle box with its beak during that trial Door - The label describing which type of door on the puzzle box Successes - the number of times a subject successfully opened a closed door A, B, C, D - These are the labels for the 4 different door types, and the numbers in these columns indicate the number of times that door type was opened on that trial. Survival analysis column details where different from above: Solve - Whether it was the first (1) or last (3) solve. Or if the subject did not solve that door (0) Trial - the trial in which the solve occurred Time (min) - Minute within the trial that solve occurred Adjusted - Amount of time until the solve accounting for multiple trials We used the R Markdown format to present our code for these data. The code to conduct analyses is annotated and ordered in the R Markdown file.
DOI: 10.17632/dskhn32fsw.2
title: Amphiprion latezonatus survey data

description: Data for surveys at Norfolk Island, Lord Howe Island, Elizabeth Reef, and Sunshine Coast. All data is completely unaltered.
DOI: 10.17632/ghvsygk52s.1
title: Data for: Mirror Symmetry Detection in Curves Represented by Means of the Slope Chain Code

description: Symmetry is an important feature in natural and man-made objects; particularly, mirror symmetry is a relevant task in fields such as computer vision and pattern recognition. In the current work, we propose a new method to characterize mirror-symmetry in open and closed curves represented by means of the Slope Chain Code. This representation is invariant under scale, rotation, and translation, highly desirable properties for object recognition applications. The proposed method detects symmetries through simple inversion, concatenation and reflection operations on the chains, thus allowing the classification of symmetrical and asymmetrical contours. It also introduces a measure to quantify the degree of symmetry in quasi-mirror-symmetrical objects. Furthermore, it allows the identification of multiple symmetry axes and their location. Results show high performances in symmetrical/asymmetrical classification (0.9 recall, 0.9 accuracy, 0.97 precision) and axes’ detection (0.8 recall, 0.84 accuracy, 0.99 precision). Compared to other methods, the proposed algorithm provides properties such as: global, local, and multiple axes’ detection, as well as the capability to classify symmetrical objects, which makes it adequate for several practical applications, like the three exemplified in the paper. The available demo of the proposed mirror symmetry detection method is written in Matlab.
DOI: 10.17632/mwmhh766fc.3
title: Electronic nose dataset for beef quality monitoring under an uncontrolled environment

description: Table 1 is a list of sensors used in this experiment. The sensory classes of beef are described in Table 2 and the example of ground-truth data is shown in Fig.2. Then, Fig. 1 denotes the schematic experimental design. Fig.3 implies the example of ambient conditions in this experiment. The sample of e-nose signals is depicted in Fig.4. This dataset consists of five series correspond to five beef cuts where one series contains 2160 minutes of measurement points. Every series is distributed in comma-separated value (csv). The first row contains the column header as follows: • Minute: time of measurement point (minute); • Class: discrete label of beef quality [“excellent”, “good”, “acceptable”, “spoiled”]; • TVC: continuous label of microbial population (log10 cfu/g); • MQ_: sensor resistance value of a particular gas sensor (Ω); • Humidity: relative humidity (%) in the sample chamber; • Temperature: temperature (C) in the sample chamber. The dataset is sorted ascendingly by column “minute” to represent the time-series data in beef quality monitoring. The experimental dates for each series are as follows: • Time-series 1 (TS1.csv): May 12, 2016 to May 13, 2016 • Time-series 2 (TS2.csv): October 8, 2018 to October 9, 2018 • Time-series 3 (TS3.csv): October 11, 2018 to October 12, 2018 • Time-series 4 (TS4.csv): October 13, 2018 to October 14, 2018 • Time-series 5 (TS5.csv): October 15, 2018 to October 16, 2018.
DOI: 10.17632/w3dwy8nfth.1
title: Eighteen environmental variables and real survey sites for a region in central western Victoria, Australia

description: The file predictors.txt contains eighteen environmental variables (including bioclimatic, topographic and radiometric variables) for a region covering 250 km x 250 km in central western Victoria, Australia. Another file survey_combined.txt shows the sites where there are (any) species records in the database of the Department of Environment, Land, Water and Planning, Victoria, Australia. The resolution of the two datasets are all 1 km x 1 km. These data have been used in our simulations to investigate various modelling strategies related to species distribution modelling.
DOI: 10.5517/ccdc.csd.cc20d31l
title: CCDC 1858668: Experimental Crystal Structure Determination

description: Related Article: Ya-Ke Fan, Wen-Yan Zhang, Si-Si Zhang, Yang-Tian Yan, Kai Zhong, Yu Zhang, Guo-Ping Yang, Yao-Yu Wang|2019|J.Solid State Chem.|269|386|doi:10.1016/j.jssc.2018.10.017
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20dtnx
title: CCDC 1859369: Experimental Crystal Structure Determination

description: Related Article: Ting Wang, Joanna S. Stevens, Thomas Vetter, George F. S. Whitehead, Iñigo J. Vitorica-Yrezabal, Hongxun Hao, Aurora J. Cruz-Cabeza|2018|Cryst.Growth Des.|18|6973|doi:10.1021/acs.cgd.8b01159
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20dtpy
title: CCDC 1859370: Experimental Crystal Structure Determination

description: Related Article: Ting Wang, Joanna S. Stevens, Thomas Vetter, George F. S. Whitehead, Iñigo J. Vitorica-Yrezabal, Hongxun Hao, Aurora J. Cruz-Cabeza|2018|Cryst.Growth Des.|18|6973|doi:10.1021/acs.cgd.8b01159
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20dtqz
title: CCDC 1859371: Experimental Crystal Structure Determination

description: Related Article: Ting Wang, Joanna S. Stevens, Thomas Vetter, George F. S. Whitehead, Iñigo J. Vitorica-Yrezabal, Hongxun Hao, Aurora J. Cruz-Cabeza|2018|Cryst.Growth Des.|18|6973|doi:10.1021/acs.cgd.8b01159
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20dtr0
title: CCDC 1859372: Experimental Crystal Structure Determination

description: Related Article: Ting Wang, Joanna S. Stevens, Thomas Vetter, George F. S. Whitehead, Iñigo J. Vitorica-Yrezabal, Hongxun Hao, Aurora J. Cruz-Cabeza|2018|Cryst.Growth Des.|18|6973|doi:10.1021/acs.cgd.8b01159
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20dts1
title: CCDC 1859373: Experimental Crystal Structure Determination

description: Related Article: Ting Wang, Joanna S. Stevens, Thomas Vetter, George F. S. Whitehead, Iñigo J. Vitorica-Yrezabal, Hongxun Hao, Aurora J. Cruz-Cabeza|2018|Cryst.Growth Des.|18|6973|doi:10.1021/acs.cgd.8b01159
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/92dpg5xvr2.1
title: The Empirical Cloud Mask Algorithm (ECMA)

description: NASA’s atmospheric science team using MODIS, have developed their own standard cloud mask product that can be used to detect the presence of clouds over a given area. The cloud mask product however, has several significant drawbacks. For example, the mask is incapable of discriminating effectively between heavy aerosols (dust) and clouds that appear over both land and water. This shortcoming is commonly attributed to its dependency on static thresholds. Moreover, it cannot be generated in near-real-time, due to the absence of specific ancillary data required for its generation. Due to these shortcomings, a single mathematical formula -The Empirical Cloud Mask Algorithm (ECMA) – has been devised which is able to bypass these constraints of dependency upon auxiliary data or thresholds. The EMCA is composed from a total of eight of MODIS bands (469 nm, 555 nm, 645 nm, 859 nm, 1380 nm, 2130 nm, 11 μm and 12 μm). Currently, the ECMA has a simple yes/no output which corresponds to cloudy or non-cloudy pixels in a day-only MODIS scene. Therefore, further research remains pending to expand its applicability over night passes. Although, the current ECMA expression is developed based on the MODIS bands, its applicability using different sensors using different spectral and thermal bands is also open for investigation. Finally, the ECMA can be viewed as the dynamic mathematical-code representation of day-only clouds observed in MODIS, whose nature is equally dynamic and can thus explain its success.
DOI: 10.17632/9cbk9dx8pc.1
title: The processed data in the study of closed-form solutions for free vibration and eigenbuckling of rectangular nanoplates

description: "DATA1 .xlsx" includes the fundamental frequencies for SSSS, SSSC and CSCS nanoplates (2a=2b=10nm). "DATA2 .xlsx" includes the fundamental frequencies of nanoplates (2a=2b=5nm) with arbitrary homogeneous BCs. "DATA3 .xlsx" includes the critical buckling loads of SSSS rectangular nanoplates. "DATA4 .xlsx" includes the critical buckling loads of SCSC and SSSC rectangular nanoplates. "DATA5 .xlsx" includes the first six frequencies of square nanoplates (2a=2b=10nm) with various BCs. "DATA6 .xlsx" includes the fundamental frequency ratios of square nanoplates with different plate lengths. "DATA7 .xlsx" includes the fundamental frequency ratios of square nanoplates (2a=2b=10nm) with various BCs. "DATA8 .xlsx" includes the critical buckling loads of square nanoplates (2a=2b=5nm) with 17 kinds of BCs. "DATA9 .xlsx" includes the critical buckling load ratios of square nanoplates with different plate lengths. "DATA10 .xlsx" includes the critical buckling load ratios of square nanoplates (2a=2b=10nm) with various BCs. From these data, it was concluded that in both free vibration and eigenbuckling, nonlocal effects play a greater role in smaller plates. With the increase of plate aspect ratios, the frequencies and critical buckling loads increase, and nonlocal effects become more important. In vibration analysis, nonlocal effects are more significant in higher modes, this is because the higher the mode number is, the smaller the wavelengths are, and nonlocal effects are more important for smaller wavelengths. One also observed that nonlocal effects play a greater role in the stiffer boundary conditions in both vibration and eigenbuckling analysis.