cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2542504
title: Simulated Analog Wafer Test Data for Pattern Recognition

description: This data set was generated in accordance with the semiconductor industry and contains simulated electrical test data of manufactured devices, like resistances, voltages, etc. Devices are manufactured on round wafers, i.e. slices of semiconductor material. If the test values of devices form an interesting spatial pattern on the wafer, this might result from deviations during processing and hence, must be traced.<br>
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A bunch of wafers is aggregated to a so-called lot. The dataset contains 4 training lots and 1 test lot à 200 wafers. In this dataset, each wafer contains approx. 17000 devices. Each device is assigned 10 different tests, which show one out of 5 patterns each, simulated with (ring, spot, trend, twospots and crescent) and without ('_pure' suffix) a randomized amount of Gaussian white noise.<br>
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For pattern recognition, each test column on the wafer is regarded as a spatial image, the so-called wafermap. In particular, a wafermap is an image, where the position of each pixel is uniquely identified through the x- and y-coordinates and the coloring is described by a value of one of the test columns.

Each wafermap in a lot is uniquely identified by its wafer number. Classes or clusters should not be assigned to each data row separately, but rather to wafermaps. The data represents wafermaps as spatial objects, with x- and y- coordinates. The values of such a map are characterized by all values in the corresponding test column for given lot and wafer numbers.

The five classes (patterns) are characterized as follows:


	ring: a ring pattern along the border of the wafer
	spot: a single circular or elliptic spot, placed randomly on the wafer
	trend: a constant gradient over the wafer (with changes w.r.t. direction)
	twospots: two spots at the left and right edge of the wafer
	crescent: a crescent-shaped area on the right edge of the wafer
DOI: 10.5281/zenodo.3238357
title: STORM graffiti/tagging detection dataset

description: This object detection dataset was created by University of West Attica, by collecting images containing at least one graffiti/tagging, using the camera of a smartphone and exploiting the STORM crowdsensing application. STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu). The included images display structures, such as walls, pavements, benches and statues that are located in the municipality of Athens and its suburbs. The dataset consists of 1022 images with graffiti/tagging annotations and are split into 80% (813 images) for training and validation and 20% (209 images) for testing.
DOI: 10.5281/zenodo.3451407
title: Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset

description: This is the official dataset for the ACM BuildSys 2019 publication <em>One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.</em> The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN Kindly cite this work as: <pre><code>@inproceedings{roy2019one, title={One size does not fit all: Multi-scale, cascaded RNNs for radar classification}, author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish}, booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, pages={1--10}, year={2019} }</code></pre>
DOI: 10.5281/zenodo.3662711
title: Can a Chatbot Support Software Engineers with Load Testing? Approach and Experiences

description: Supplementary material for the paper: Dusan Okanovic, Samuel Beck, Lasse Merz, Christoph Zorn, Leonel Merino, Andre van Hoorn, and Fabian Beck. Can a chatbot support software engineers with load testing? Approach and experiences. In Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020), 2020. https://dx.doi.org/10.1145/3358960.3375792
DOI: 10.5281/zenodo.7528
title: Raw Data For Studies 1 And 2 In False-Positive Psychology

description: Excel file containing data for experiments 1 and 2 reported http://pss.sagepub.com/content/22/11/1359.short
DOI: 10.5281/zenodo.3458559
title: RECAP Artificial Data Traces

description: The objective of the work package "Data Collection, Visualization and Analysis" of RECAP is to provide the necessary tools for managing and refining the data needed for the rest of the work packages. This includes the collection as well as the generation of data. Within this work package, the task of Artificial Workload Generation is responsible for the generation of a collection of datasets with artificial workloads, that complement the real data traces collected from industrial partners. Moreover, because publicly available workload data is scarce we provide the data as public data sets. This document is a companion report to deliverable which is of type “dataset”. The aim of the report is to describe the collection of datasets that constitute D5.3 and the mathematical techniques (structural time series models, generative adversarial networks, and workload based on traffic propagation) by which one can artificially generate and/or augment such datasets. The datasets described include real data traces collected by industrial partners and artificial data traces generated by the use of statistical models and neural networks. Each published data set can be used by the scientific and industrial community as a starting point for the modelling and experimental validation of distributed edge and cloud applications, facilitating the repeatability of the results.
description: For details on the data itself, see RECAP-Artificial Workload Generation.pdf
DOI: 10.5281/zenodo.7116211
title: Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes

description: Data and matlab code to compute all figures contained in a manuscript submitted to the linked journal.
description: Funded in parts by Russian Foundation for Basic Research, project 20-58-14003.
DOI: 10.6084/m9.figshare.21904065
title: Supplementary Material for: Development of Best Evidence Dosing Recommendations for Term and Preterm Neonates (NeoDose Project)

description: <b><i>Abstract:</i></b> Many drugs are used off-label in neonates which leads to large variation in prescribed drugs and dosages in neonatal intensive care units (NICUs). The NeoDose project aimed to develop best evidence dosing recommendations (DRs) for term and preterm neonates using a three-step approach: 1) drug selection, 2) establishing consensus-based DRs, and 3) establishing best evidence DRs. <b><i>Methods:</i></b> The selection of drugs was based on frequency of prescribing, availability of a neonatal DR in the Dutch Pediatric Formulary, and the labeling status. Clinical need, pharmacological diversity, and Working Group Neonatal Pharmacology (WGNP) preferences were also taken into account, using a consensus-based approach. For the second step, we requested local dosing protocols from all ten Dutch NICUs and established consensus-based DRs within the WGNP, consisting of neonatologists, clinical pharmacologists, hospital pharmacists, and researchers. In the third step, the consensus-based DRs were compared with the available literature, using standardized PubMed searches. <b><i>Results:</i></b> Fourteen drugs were selected for which the local dosing protocols were collected. These protocols differed mostly in total daily dose, dosing frequency, and/or route of administration. Strikingly, almost none of the dosing protocols of these 14 drugs distinguished between preterm and term neonates. The working group established consensus-based DRs, which after literature review needed modification in 56%, mainly in terms of a dose increase. Finally, we established 37 best evidence DRs, 22 for preterm and 15 for term neonates, representing 19 indications. <b><i>Conclusion:</i></b> This project showed the successful three-step approach for the development of DRs for term and preterm neonates.
DOI: 10.15129/31da3ece-f902-4e95-a093-e0a9536983c4
title: REFIT: Electrical Load Measurements

description: The REFIT Electrical Load Measurements dataset includes raw electrical consumption data in Watts for 20 households at aggregate and appliance level, timestamped and sampled at 8 second intervals. This dataset is intended to be used for research into energy conservation and advanced energy services, ranging from non-intrusive appliance load monitoring, demand response measures, tailored energy and retrofit advice, appliance usage analysis, consumption and time-use statistics and smart home/building automation. Please refer to the linked paper below for more details. When using this dataset please cite the following paper in Scientific Data, http://dx.doi.org/10.1038/sdata.2016.122 This work has been carried out as part of the REFIT project (`Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology', Grant Reference EP/K002368/1/1). REFIT is a consortium of three universities - Loughborough, Strathclyde and East Anglia - and ten industry stakeholders funded by the Engineering and Physical Sciences Research Council (EPSRC) under the Transforming Energy Demand in Buildings through Digital Innovation (BuildTEDDI) funding programme. A cleaned data version of this dataset (deposited 16/06/2016) is also available from the Data Sets link below.
DOI: 10.25584/ks4aisogfspds682/1635527
title: KS4A-IsoG.1.0_FspDS682

description: The novel fungal strain, Fusarium sp. DS 682, was isolated from the rhizosphere of the perennial grass, Bouteloua gracilis, at the Konza Prairie Biological Station in Kansas. This fungal strain is common across North American grasslands and is resilient to environmental fluctuations. The draft genome is estimated to be 97.2% complete.
DOI: 10.4225/08/531e573d7f06c
title: 3D Reconstruction from multi-view images of a Longhorn Beetle

description: A 3D reconstruction of a Longhorn Beetle [Aridaeus thoracicus] generated from an optical scanning rig. The Longhorn Beetle model was reconstructed from 144 images of 18MP each. Number of vertices is 80,002; and number of faces is 160,000. The dimension of the 3D model is in mm and the physical length of the original specimen is approximately 20mm. This collection contains 4 files:
* A PNG thumbnail of the model
* An X3D file containing the model
* A PLY file containing same the model
* A JPG texture for the model
DOI: 10.5281/zenodo.3610205
title: A dataset of Bot Commits

description: This dataset contains information about 13,762,430 commits by 461 bots, each of whom have created more than 1000 commits, that have committed code in Git. <br> The data is stored in a gzipped csv file (";" as the separator) with the following format in each line: "author_id"; "commit-sha"; "time-of-the-commit"; "timezone"; "files-modified-by-the-commit"; "projects-the-commit-is-associated-with"; "commit-message". In the case of having multiple projects and/or files for a given commit, they are separated by ','. <br> These bots were detected using the BIMAN bot detection approach using the World of Code(http://worldofcode.org/) dataset. For details of the approach, see the corresponding paper in MSR 2020. <br> If you're using this data for your research, please don't forget to cite it!!!
DOI: 10.5281/zenodo.4740791
title: zhgarfield/reputationdiversitydata: Initial release of the reputationdiversitydata package

description: This release publishes the reputationdiversitydata package produced by, and which includes data for, the publication "The content and structure of reputation domains across human societies: a view from the evolutionary social sciences" by Zachary H. Garfield, Ryan Schacht, Emily R. Post, Dominique Ingram, Andrea Uehling, and Shane J. Macfarlan.
DOI: 10.5281/zenodo.5336000
title: Dataset in "Continent-continent Collision between the South and North China Plates Revealed by Seismic Refraction and Reflection at the Southern Segment of the Tanlu Fault Zone""

description: This dataset contains: Field-data FWI Results<br> Deep Seismic Profiling Result<br> Post-stack Depth Migration<br> Source Signature<br> Misfit Reduction Descriptions:<br> 1. the unit of distance or depth is meter;<br> 2. the unit of time is ms;<br> 3. all the *.dat files are saved as plain text files;<br> 4. all the *.m files are the Matlab scripts for loading and plotting the data.
DOI: 10.5281/zenodo.6473079
title: Data for 'Normalization procedure for obtaining the local density of states from high-bias scanning tunneling spectroscopy'

description: This folder contains all the raw data needed to generate the figures in the paper '<em>Normalization procedure for obtaining the local density of states from high-bias scanning tunneling spectroscopy.</em>' The data are seperated by the figures in which they appear, with a text folder in each folder that contains any relevant additional information.
DOI: 10.5281/zenodo.7020265
title: SURE 2.0

description: Surface rupturing data from the historical earthquakes is used for obtaining empirical regression parameters for fault displacement hazard assessment. This is the second version of the SUrface Ruptures due to Earthquake (SURE) database. This new release contains slip measurements and mapped surface rupture traces of 50 surface rupturing earthquakes of reverse, normal, and strike-slip kinematics. As a novelty, a ranking scheme of the rupture features is applied to all the traces and slip measurements in the database. Fault ranking introduces geology as a primary analysis tool and allows the end user to obtain regression parameters suitable for the specific geological conditions at the site of interest. SURE 2.0 dataset consists of a table containing the background information about each earthquake, a table containing the slip measurement data of each event, and a joint shapefile containing all the surface rupture traces of the events in the database.
DOI: 10.6084/m9.figshare.1353990
title: Public Transport Journey Data

description: This file contains the public transport journey data (modes, distances, durations and emissions) as used in "Multi-Modal Employee Routing with Time Windows in an Urban Environment" by Urqhart, Hart and Judson in Proceedings of GECCO 2015. The file is designed to be loaded into a mySQL database. The problem instances are form of comma separated variable files, they are best viewed in something like Excel. Locations are given as UK postcodes which can be used with the mySQL database provided. If you need to geolocate the postcodes use the freely available UK postcode data from sites such as doogal.co.uk
DOI: 10.6084/m9.figshare.21164842
title: Earthquake-simulator test results: Mid-height isolated tall, slender vessel

description: This digital appendix presents results of earthquake-simulator testing of a 240-inch tall vessel with an outer diameter of 60 inches and a wall thickness of 1 inch. The vessel was supported on three radial mounts at its mid-height, near its center of gravity, on a steel frame.
DOI: 10.6084/m9.figshare.21904860
title: Supplementary Material for: A Genetics Study in the Foreskin of Boys with Hypospadias

description: <b><i>Introduction:</i></b> Hypospadias is a malformation of the genitourinary system in males, characterized by the placement of the urethral opening in the ventral surface of the penis. Although controversies continue about etiology, endocrine disrupting chemicals that disrupt normal endocrine signaling at the receptor or signal transduction level are thought to play an essential role in etiology. This study aimed to investigate the receptor gene expressions of the sex hormones and <i>FGFR2</i>, <i>HOXA13</i>, and <i>TGFB1</i>, which are considered to play an essential role in developing hypospadias. <b><i>Methods:</i></b> The samples from the foreskin of 26 patients with hypospadias and 26 healthy children who underwent circumcision operations were collected. <i>ESR1</i>, <i>AR</i>, <i>FGFR2</i>, <i>HOXA13</i>, and <i>TGFB</i> gene expressions were investigated by real-time PCR in samples obtained during surgery. <b><i>Results:</i></b> In the hypospadias group, <i>ESR1</i> expression was increased (<i>p</i> = 0.013), and <i>AR</i> and <i>FGFR2</i> expressions were decreased, which were found to be statistically significant (<i>p</i> = 0.027 and <i>p</i> = 0.003, respectively). There was no statistically significant difference between hypospadias and control groups in <i>TGFB</i>and <i>HOXA13</i>expression levels (<i>p</i> &gt; 0.05). <b><i>Discussion:</i></b> The results suggest that sex hormone receptors and FGFR2 may play an essential role in developing male external genital structures at the gene level. The defects in the expression of these genes can contribute to understanding the development of hypospadias.
DOI: 10.21223/2gjmna
title: Dataset for: Remote sensing and agronomic data for drought trials evaluated at Umbeluzi Research Station in 2019 (2nd experiment).

description: The trial had 120 clones, the majority begin parents used in crossing blocks at Umbeluzi and Gurue Research Stations. The check clones such as Resisto and 199062.1 are parents in crossing blocks as well and some checks were landraces such as Xitsekele, Xiadla xakau. Trial life span started on 28 March 2019 and ended on 18 October 2019. The experiment was laid in two treatments defined as follows; (i) Optimum Irrigation (OI, as control): No water restriction was imposed. (ii) Late-season drought (LSD): Irrigation was withheld at 110 DAP and no irrigation was applied thereafter. Plot size was 25m2. The plots were arranged as 8 rows × 15 columns per treatment and replicated twice in each treatment. The plots were fertilized with urea, 46N:0P:0K at three weeks after planting and irrigated twice a week. All the field plots were kept weed-free by hoe weeding. A Cypermethrin (Avansagro, Shangai, China) insecticide was applied at 20 and 35 days after planting (DAP) in all trials with doses of 10mL 100mL-1 water.
DOI: 10.21227/c5cn-jv76
title: DTU three-channel room impulse response dataset for direction of arrival estimation 2020

description: The data set contains 152 measurements of room impulse responses for direction of arrival estimation, using a compact three-channel microphone array. Sources are placed at 10-degree intervals from -90 to 90 degrees in the azimuth plane at range 150 cm. There are also 5 off-grid measurement positions and 6 off-range positions - at ranges 1 m, 2 m, 2.5 m and 3 m. The measurements are performed in a furnished classroom, which is approximately rectangular and of dimensions 9 x 6 x 3 m. The reverberation time is 0.4 s. Two different sources are used, a compact single-driver closed-box loudspeaker, as well as a larger two-way closed box loudspeaker. The microphones are three ½-inch condenser B&K microphones, spaced by 8.5 cm, which use a Nexus signal conditioning system for improved signal to noise ratio. The measurements were performed in June 2020.
DOI: 10.5281/zenodo.7472000
title: ARRIVE author checklist

description: ARRIVE author checklist
DOI: 10.5285/d4e823f0172947c5ae6e6b265656c273
title: CRU CY4.01: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.01 (Jan. 1901 - Dec. 2016)

description: The Climatic Research Unit (CRU) Country (CY) data version 4.01 dataset consists of ten climate variables for  country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. 

This dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY4.00 data to include 2016. CRU CY4.01 is a full release, differing only in methodology from the existing current version 3 release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3.

Spatial averages are calculated using area-weighted means. CRU CY4.01 is derived directly from the CRU TS4.01 dataset. CRU CY version 4.01 spans the period 1901-2016 for 289 countries.

To understand the CRU CY4.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.01. It is therefore recommended that all users read the Harris et al, 2014 paper and the CRU TS4.01 release notes listed in the online documentation on this record.

CRU CY data are available for download to all CEDA users.
DOI: 10.6084/m9.figshare.16837237
title: Figure 2: GTDB alignment and phylogeny

description: These items are the GTDB generated alignment for Figure 2 and the resulting phylogeny, generated by IQ-Tree.
DOI: 10.17043/hutchinson-2022-eocene-oligocene-1
title: Data from a modelling study to investigate North Atlantic sea surface temperature at the Eocene-Oligocene Transition
DOI: 10.17863/cam.56
title: Research Data Supporting "Through entrepreneurs’ eyes: the Fab-spaces constellation."

description: In the spring-summer 2013, 73 Fab-spaces were identified through a review of websites, newsletters, research papers and two websites which list the majority of the physical Fab-spaces: http://hackerspaces.org/wiki/ and http://wiki.fablab.is. With “Fab-spaces” we encompass a number of organisations which provide a suite of fabrication technologies openly accessible for use by individuals and firms alike. Through Fab-spaces it is possible to access professional grade manufacturing technologies once only available to trade organisations, including additive manufacturing equipment; Laser cutting and CNC tools; wood and metal working machinery and electrical/electronic components assembling tools. Fab-spaces are growing in number in many countries, taking a variety of forms and providing a range of innovation/production environments. Many Fab-spaces are physical places, the most famous of which are known as Makerspaces, Hackerspaces, FabLabs and TechShops, however, Fab-spaces include also those which provide access to digital manufacturing technologies remotely via internet platforms such as Shapeways or i.materialise For inclusion in the database Fab-spaces needed to be more than one year old, as it was assumed that these had more mature and hence more stable characteristics. Further, the information on the website had to be in English or could be translated with tools such as “Google Translate”. Overall, a list of 65 variables, based on Osterwalder and Pigneur's Business Models Canvass (See "Characterisation template" tab) and their codification, either binary (i.e. yes-no) or categorical (e.g. Low, Medium, High) was collated and used for the charaterisation of Fab-spaces, based on of the information available on each website (see "2013 Fab-spaces" tab).
description: ESRC
DOI: 10.21223/fooz1y
title: Thiry's Screening Method (TSM)

description: R function to calculate Productivity (PCI) and Resilience (RCI) Capacity Index according to Thiry's Screening Method (TSM). This one can help us to identify productive and resilient genotypes according to Fernandez's Groups.