cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.liegmkt8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/64r4jr8c88.1
title: Binary-Classification Performance Metric-Spaces Data

description: Metric-Space is a proposed concept by Gürol Canbek et al (2019). A metric-space indicates all possible permutations of contingency table (or confusion matrix) elements yielding the same sample size (Sn). It holds all possible results of a hypothetical classification conducted in a dataset with a given sample size in terms of one or more performance metrics (e.g. Accuracy, F1, or TPR). Metric-space provides a pseudo-universal space to analyze and compare metrics in complete coverage. The formal definition and the details are given in the article. Each data file has the following performance 13 measures and 13 metrics: * True Positive (TP), False Positive (FP), False Negative (FN), True Negative (TN), Positive (P), Negative (N), Outcome Positive (OP), Outcome Negative (ON), True Classification (TC), False Classification (FC), Sample Size (Sn), Prevalence (PREV), Bias (BIAS) * True Positive Rate (TPR), True Negative Rate (TNR), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy (ACC), Informedness (INFORM), Markedness (MARK), Balanced Accuracy (BACC), G, Normalized Mutual Information (nMI), F1, Cohen’s Kappa (CK), and Mathews Correlation Coefficient (MCC) Each data file belongs to metric-spaces for different Sn values (10, 25, 50, 75, 100, 125, 150, 175, 200, 225). The file format is RData (compatible with The R Project for Statistical Computing) instead of CSV (comma separated values) because of large CSV file sizes. Therefore, MATLAB users should convert the files into CSV and save them in R: &gt; load('MetricSpaces_Sn_10.RData') &gt; metric_spaces_Sn_10  write.csv(metric_spaces_Sn_10, file='MetricSpaces_Sn_10.csv') Note that metric-space sizes (permutations) increase exponentially: Sn=25 (3,276); Sn=50 (23,426); Sn=75 (76,076); Sn=100 (176,851); Sn=125 (341,376); Sn=150 (585,276); Sn=175 (924,176); Sn=200 (1,373,701); Sn=250 (2,667,126).
DOI: 10.17632/bpnd9978v6.1
title: Air temperature, relative humidity and dew point in a boreal raised bog and an upland site (Shichengskoe mire system, north-western Russia)

description: These MS Excel files contain raw data on air temperature, relative humidity and dew point measured in a boreal raised bog and an upland nearby during vegetation periods of 2013-2015 and 2017. Measurements were conducted at 4 sites in total, namely a lagg, a paludified edge of a mineral bog-island, a forested margin of the mire, and an upland site. Data from 7584 time points are available for the year 2013; 5952 for the year 2014; 6384 for the year 2015; 5952 for the year 2017. Linked article provides further information.
DOI: 10.17632/n23pgm86rr.1
title: Data for: Egocentric Foundations of Trust

description: Materials, de-identified data, and analysis scripts of all studies.
DOI: 10.17632/2g36672s5f.1
title: Binary-Classification Performance-Metrics Benchmarking Data

description: This data provides the detailed test results of the benchmarking for the binary-classification performance metrics. The benchmark comprising three stages was applied on 13 metrics namely True Positive Rate, True Negative Rate, Positive Predictive Value, Negative Predictive Value, Accuracy, Informedness, Markedness, Balanced Accuracy, G, Normalized Mutual Information, F1, Cohen’s Kappa, and Mathew’s Correlation Coefficient (MCC). The new benchmarking method is described in Gürol Canbek, Tugba Taskaya Temizel, and Seref Sagiroglu, "Meta-Metrics: A New Systematic Method for Benchmarking Binary-Classification Performance Metrics", Pattern Recognition, 2019 (Submitted).
DOI: 10.17632/2g36672s5f.2
title: Binary-Classification Performance-Metrics Benchmarking Data

description: This data provides the detailed test results of the benchmarking for the binary-classification performance metrics. The benchmark comprising three stages was applied on 13 metrics namely True Positive Rate, True Negative Rate, Positive Predictive Value, Negative Predictive Value, Accuracy, Informedness, Markedness, Balanced Accuracy, G, Normalized Mutual Information, F1, Cohen’s Kappa, and Mathew’s Correlation Coefficient (MCC). The new benchmarking method is described in Gürol Canbek, Tugba Taskaya Temizel, and Seref Sagiroglu, "Meta-Metrics: A New Systematic Method for Benchmarking Binary-Classification Performance Metrics", Pattern Recognition, 2019 (Submitted).
DOI: 10.17632/3ks4dtk29v.1
title: Historical and future sea level rise rates derived by combining observed and modeled data in the Hawaiian Islands

description: The data set includes the results of historical and future sea level rise rates derived by integrating observed (i.e., tide gauge and satellite altimetry) and modeled data. Please read "Data Description.dox" for the detailed information.
DOI: 10.17632/3xknb3sdb5.2
title: Test database on concrete-filled steel tubular columns

description: This database contains results of 3103 tests carried out on CFST columns over the past few years.
DOI: 10.17632/ydp4zjrknh.1
title: State-Dependent TMS reveals the differential contribution of ATL and IPS to the representation of abstract concepts related to social and quantity knowledge

description: - presentation code and script for the category priming task - single subject log files - TMS site randomization
DOI: 10.5281/zenodo.3256201
title: Webis Query Spelling Corpus 2017 (Webis-QSpell-17)

description: The Webis Query Spelling Corpus 2017 (Webis-QSpell-17) contains 54,772 web queries that were manually spell-checked; for 9,171 queries alternative spelling variants are contained.

As for segmentations of many of the queries (i.e., tagged concepts and phrases), please refer to the companion corpus Webis-QSeC-10.
description: {"references": ["Matthias Hagen, Martin Potthast, Marcel Gohsen, Anja Rathgeber, and Benno Stein. A Large-Scale Query Spelling Correction Corpus. In Noriko Kando et al, editors, 40th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2017), pages 1261-1264, August 2017. ACM. ISBN 978-1-4503-5022-8."]}
DOI: 10.5281/zenodo.3257156
title: Valencia Portcalls 07/2018 to 12/2018

description: Json file with a list of portcalls from vessels arriving to Valencia ports. Data was used inside the INTER-IoT project as an example dataset that a legacy IoT platform was providing.

*NOTE: Due to a bug in the system it is not possible to upload files with a .json extension. It is uploaded to ._json extension instead. Please rename it after download.
DOI: 10.5281/zenodo.3257157
title: Valencia Portcalls 07/2018 to 12/2018

description: Json file with a list of portcalls from vessels arriving to Valencia ports. Data was used inside the INTER-IoT project as an example dataset that a legacy IoT platform was providing.

*NOTE: Due to a bug in the system it is not possible to upload files with a .json extension. It is uploaded to ._json extension instead. Please rename it after download.
DOI: 10.17632/4zkszx3398.3
title: Powerline Image Dataset Extra (Infrared-IR and Visible Light-VL) - Classified (Easy and Hard)

description: Powerline Image Dataset Extra (Infrared-IR and Visible Light-VL) Classified (Easy and Hard)
DOI: 10.17632/9msc9r8y9f.1
title: Data for: Wave height and setup in the sheltered area of a segmented, detached, rubble-mound, zero-freeboard breakwater on a steep beach
DOI: 10.17632/wzz5pf7h4m.2
title: Powerline Image Dataset Extra (Infrared-IR and Visible Light-VL)

description: Non-wire visible images (2000 pieces) and Non-wireinfrared images (2000 pieces) were added.
DOI: 10.17632/xb87344697.1
title: 2.2V High Performance Symmetrical Fiber-Shaped Aqueous Supercapacitors Enabled by “Water-in-Salt” Gel Electrolyte and N-Doped Graphene Fiber

description: The dominated obstacle facing current quasi-solid-state fiber-shaped aqueous supercapacitors (FSASs) system is their quite limited energy density, which is the consequence of insufficient active sites of electrodes, and narrow operating voltage window of electrolyte. In the light of the outlined issues, a novel symmetric FSAS comprising surface-wrinkled and N-doped reduced graphene oxide (rGO) fiber (NRGF) electrodes matched with concentrated “water-in-salt” gel polymer electrolyte (GPE，8.96M) was reported in this work. Benefit from the one-dimensional porous microstructure of NRGF and improved hydration energy of GPE, the assembled FSAS has delivered a widely broadened voltage window of 0-2.2 V, an ultrahigh energy density of 25.6 μWh cm-2 (22.7 mWh cm-3) and an outstanding cycling stability for over 20000 cycles. The electrochemical performance of this FSAS can be well-maintained even under different deformation conditions or after numerous bending cycles. Interestingly, the as-fabricated FSAS can also deliver high energy density from 8.4 μWh cm-2 to 36.6 μWh cm-2 in a temperature range of -20-70 °C, exhibiting a great potential for all-climate aqueous energy device.
DOI: 10.17632/xb87344697.2
title: 2.2V High Performance Symmetrical Fiber-Shaped Aqueous Supercapacitors Enabled by “Water-in-Salt” Gel Electrolyte and N-Doped Graphene Fiber

description: The dominated obstacle facing current quasi-solid-state fiber-shaped aqueous supercapacitors (FSASs) system is their quite limited energy density, which is the consequence of insufficient active sites of electrodes, and narrow operating voltage window of electrolyte. In the light of the outlined issues, a novel symmetric FSAS comprising surface-wrinkled and N-doped reduced graphene oxide (rGO) fiber (NRGF) electrodes matched with concentrated “water-in-salt” gel polymer electrolyte (GPE，8.96M) was reported in this work. Benefit from the one-dimensional porous microstructure of NRGF and improved hydration energy of GPE, the assembled FSAS has delivered a widely broadened voltage window of 0-2.2 V, an ultrahigh energy density of 25.6 μWh cm-2 (22.7 mWh cm-3) and an outstanding cycling stability for over 20000 cycles. The electrochemical performance of this FSAS can be well-maintained even under different deformation conditions or after numerous bending cycles. Interestingly, the as-fabricated FSAS can also deliver high energy density from 8.4 μWh cm-2 to 36.6 μWh cm-2 in a temperature range of -20-70 °C, exhibiting a great potential for all-climate aqueous energy device.
DOI: 10.5257/iea/oil/2019-1
title: Oil Information (2019 First Edition)

description: Oil Information is a comprehensive reference dataset on current developments in oil supply and demand. This publication contains key data on world production, trade, prices and consumption of major oil product groups, with time-series back to the early 1970s. Its core consists of a detailed and comprehensive picture of oil supply, demand, trade, production and consumption by end-user for each OECD country individually and for the OECD regions. Trade data are reported extensively by origin and destination.
DOI: 10.5281/zenodo.3257634
title: dictionaria/sanzhi: Sanzhi Dargwa dictionary

description: Sanzhi Dargwa dictionary by Diana Forker
DOI: 10.17632/f3krc23s8h.1
title: Trade-off between overheating and fasting: how animals minimize heat vs. starvation risk during behavioural thermoregulation

description: Behavioural thermoregulation is critical for animals to buffer against thermal extremes. However, many animals have to face a trade-off between heat escape and food acquisition during thermoregulation, but how animals balance overheating vs. starvation risk based on their different resistance to heat and starvation currently remains unclear. Here, we proposed a hypothesis for predicting how animals reduce heat vs. starvation risk during behavioural thermoregulation. Animals with higher starvation risk give priority to reducing starvation by taking a higher heat risk, whereas animals with lower starvation risk give priority to reducing heat stress by taking a lower heat risk. We used three aphid species (Metopolophium dirhodum, Sitobion avenae, Schizaphis graminum) as focal animals. First, by simulating linearly increasing ambient temperatures during the daytime, we measured the heat-avoidance temperatures (HATs) and critical thermal maximum (CTmax) values to understand their thermoregulatory behaviour and heat tolerance. Then, we tested the time spent locating a host plant (TL) and the survival time under starvation (TS) of the aphids to assess their food accessibility and starvation tolerance, respectively. Finally, we combined these results by linking the aphids’ heat risk (CTmax minus HAT) and starvation risk (TS minus TL) with their thermoregulatory behaviour to test our hypothesis. Our results provide evidence to support our hypothesis. The species with higher starvation risk gave priority to reducing starvation by spending more time feeding on the host plant and escaping from heat later and thus taking a higher heat risk. In contrast, the species with lower starvation risk gave priority to limiting heat stress by spending less time on feeding and escaping from heat earlier and thus taking a lower heat risk. Animals may adopt different strategies to reduce the integrative risks of starvation and heat based on their respective food accessibility, starvation resistance and heat tolerance. Our findings highlight the complexity of the interactions among multiple risks in animal decision-making behaviour to increase their fitness. Such different behaviours and their potential consequences matter when taking behavioural thermoregulation into account in predicting the impacts of climate change.
DOI: 10.17632/k28w7s3r9y.1
title: Raw data for: "Sulfur isotopic composition of gas-phase organic sulfur compounds provides insights into the thermal maturation of organic-rich rocks" to be published in Geochimica et Cosmochimica Acta

description: The attached data is the raw data used in the paper-"Sulfur isotopic composition of gas-phase organic sulfur compounds provides insights into the thermal maturation of organic-rich rocks", accepted for publication in Geochimica et Cosmochimica Acta. In this work, we study the formation pathways of Volatile Organic Sulfur Compounds (VOSC), their specific sulfur isotope (d34S) values, and interaction with organic-rich sedimentary rock (or ‘source rock’) from the Ghareb Formation, a Type II-S source rock deposited in an upwelling marine environment. The source rock was exposed to laboratory controlled thermal maturation. We used a semi-open, non-isothermal pyrolysis system between 200 and 440 °C, and analyzed the molecular composition and compound specific d34S value of the evolved gases. For independent comparison, Quantum chemistry calculations (ab-initio) for S isotope exchange between H2S and representative VOSC were also included. All experimental and ab-intio calculated data is supplied in the attached file. First, the reader can find the first three tables provided in the published paper (Table 1-3). Afterward, additional data is provided, which in the text is referred as supplementary. Tables S1-S5 are the optimized coordinates for molecular structures obtained by ab-initio quantum calculations as described in the paper. Table S6 shows the vibrational temperatures obtained from the Gaussian 09 program and used to calculate the equilibrium constants for the equilibrium isotopic effect between the different organic sulfur compounds used in the study and co-existing H2S and given in table S7. Table S8 contains the amount of the major gas composition in the rock used for the experiment.
DOI: 10.17632/z5j2pfmmct.1
title: Data for: Biochemical Methane Potential Test with Gas Measurement Based on Pressure Triggered Release Cycles
DOI: 10.21227/e931-6h72
title: Four arff multivariate time-series

description: The original AirQuality dataset is downloaded from UCI\footnote{http://archive.ics.uci.edu/ml/datasets/Air+Quality}. CentralAirConditioning is a semi-open access dataset for Chinese National Contest of Maths Models\footnote{http://www.tipdm.org/bdrace/index.html}. The last two oilwell maintenance datasets are provided by China National Offshore Oil Corporation (CNOOC)\footnote{http://www.cnooc.com.cn/en/}.
DOI: 10.17632/xwyjp3n7kx.1
title: Hospital in Kukatpally

description: Padmaja Hospital incorporates the latest technology and medical equipment in patient care which enhances the quality of care and helps the doctors treat patients efficiently. We offer cutting-edge state-of-the-art technology for therapeutic and diagnostic procedures, many of which were pioneered by our own researchers and clinicians https://padmajahospital.in
DOI: 10.17632/z7wznk53cf.1
title: Health Count Data

description: The data set was used in the article titled "Bayesian Models for Zero Truncated Count Data" with link http://www.journalajpas.com/index.php/AJPAS/article/view/30105 The data set was obtained from health facility in Ota, Ogun State, Nigeria, comprising of National Health Insurance Scheme (NHIS) data with no zero count. A sample of 1647 patients under National Health Insurance Scheme was obtained from July 2016 to July 2017. Response variable (Nencounter) that is, number of encounter (visit to the doctor). The class (Eclass) indicated whether a patient was ever on admission for the period, that is, (in-patient=1, out-patient= 0). Another predictor is (follow-up), indicating whether a patient was on regular check-up or not, (follow-up=1, no follow-up=0). Gender (sex) of patients; (male=1, female=0). Another predictor was Ndiagnosis, which represented the number of diagnosis a patient had for the period of encounter. The last predictor included is biological age of patient. Following the dispersion test, the data is under-dispersed with dispersion parameter =0.7806.
DOI: 10.21227/k67j-0767
title: Four arff multivariate time-series

description: The original AirQuality dataset is downloaded from UCI\footnote{http://archive.ics.uci.edu/ml/datasets/Air+Quality}. CentralAirConditioning is a semi-open access dataset for Chinese National Contest of Maths Models\footnote{http://www.tipdm.org/bdrace/index.html}. The last two oilwell maintenance datasets are provided by China National Offshore Oil Corporation (CNOOC)\footnote{http://www.cnooc.com.cn/en/}.
DOI: 10.17632/xwyjp3n7kx.2
title: Hospital in Kukatpally

description: Padmaja Hospital incorporates the latest technology and medical equipment in patient care which enhances the quality of care and helps the doctors treat patients efficiently. We offer cutting-edge state-of-the-art technology for therapeutic and diagnostic procedures, many of which were pioneered by our own researchers and clinicians https://padmajahospital.in
DOI: 10.17632/xwyjp3n7kx.3
title: Hospital in Kukatpally

description: Padmaja Hospital incorporates the latest technology and medical equipment in patient care which enhances the quality of care and helps the doctors treat patients efficiently. We offer cutting-edge state-of-the-art technology for therapeutic and diagnostic procedures, many of which were pioneered by our own researchers and clinicians https://padmajahospital.in
DOI: 10.17632/yr2s3r79kc.1
title: Models of Abstract Reasoning in Healthy Participants

description: Among advanced cognitive functions, abstract reasoning is closely associated with an ability to detect relations among objects, ideas, conditions or events. Abstract thinking underlies the understanding of other individuals' thoughts, intentions and problem-solving. Due to high individual variance in creating abstractions, neural underpinnings of the phenomenon remain unclear. Using EEG, we investigated neurophysiological differences accompanying abstract reasoning in 17 healthy volunteers. There were three types of conditions representing different models of abstract reasoning and using correspondent stimuli: direct (nouns from one semantic category), latent (a loose relation based on a common attribute of the presented words), and non-related words. The participants were to define a general association underlying a group of presented words.
DOI: 10.5519/qd.z91hfyuw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.5281/zenodo.3257428
title: Supplemental material to 'Quantifying the out-of-plane response of unreinforced masonry walls subjected to relative support motion'

description: This repository contains the results of numerical simulations along with the Matlab scripts needed to reproduce the results shown in the article: Godio M, Beyer K. Quantifying the out-of-plane response of unreinforced masonry walls subjected to relative support motion. Frattura ed Integrità Strutturale (Fracture and Structural Integrity). 2019;50:194-208. DOI:10.3221/IGF-ESIS.50.17 Version history<br> V1: datasets added to the repository<br> V2: content PDF-file added to the repository
DOI: 10.17632/4c376dt9kw.1
title: (De)twinning in magnesium alloy AZ31B by sXRD, EBSD, CP-FEM

description: Raw and analysed data for published paper https://doi.org/10.1016/j.ijplas.2019.02.018. Notable findings and conclusions can be found in the paper.
DOI: 10.18169/papdeott007954
title: RAID controlled vehicular data recorder
DOI: 10.5281/zenodo.3255045
title: SOTorrent Dataset

description: Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built <em>SOTorrent</em>, an open dataset based on the official SO data dump. <em>SOTorrent </em>provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use <em>SOTorrent </em>to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub.

<strong>If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.</strong>
description: The dataset is based on the official Stack Overflow data dump released 2019-06-03 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2019-06-21 and last updated 2019-06-21 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
DOI: 10.5281/zenodo.3257435
title: Data for blog post: Are there publications in Mathematics written only by women?

description: Data for the blog post: Are there publications in Mathematics written only by women?
DOI: 10.5281/zenodo.3257436
title: Data for blog post: Are there publications in Mathematics written only by women?

description: Data for the blog post: Are there publications in Mathematics written only by women?
DOI: 10.17909/t9-pwxf-5h77
title: K2 Old Light Curve Release Files

description: Collection of previous K2 light curve releases.
DOI: 10.17909/t9-v1ae-7k16
title: Previous K2 light curve file releases.

description: Collection of previous K2 light curve releases.
DOI: 10.17909/t9-xp0s-kn50
title: Previous K2 target pixel file releases.

description: Collection of previous K2 target pixel releases.