cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ur9xe5/cv0bw6
title: A311_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/ddsy6h
title: A2259_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/mirgo6
title: A1302_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/qyz9jv
title: A1272_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/rvez6j
title: A2245_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/slwcay
title: A957_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/xhzbte
title: A2244_summary.pdf

description: :unav
DOI: 10.7910/dvn/ur9xe5/zut8ub
title: A1446_summary.pdf

description: :unav
DOI: 10.5281/zenodo.3620737
title: PERFORM Dataset; one control subject

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.7910/dvn/ixq1bu/avagi8
title: manuscrito_hood_script.do

description: STATA do file
DOI: 10.7910/dvn/ur9xe5/bjq9to
title: A267_summary.pdf

description: :unav
DOI: 10.5281/zenodo.3620787
title: PERFORM Dataset; one control subject

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.7910/dvn/ixq1bu/9of7ve
title: dictionary_dataverse_hood.tab

description: Variable descriptions for datase
DOI: 10.7910/dvn/ixq1bu/sqzinc
title: data_verse_hood.csv

description: Deidentified data set
DOI: 10.25345/c5sq4d
title: MassIVE MSV000084825 - LOSS OF NEURAL STEM CELL O-GLCNACYLATION REGULATES AN AGE-RELATED FATE SWITCH IN THE MATURE HIPPOCAMPUS
title: RAW files of LWAC enriched glycopeptides from mouse hippocampi analyzed on an Orbitrap Fusion Lumos with EThcD.
DOI: 10.5281/zenodo.3620892
title: Orthologs for Homo Sapiens and Drosophila Melanogaster from the Roundup Orthology Database Version 4

description: This dataset contains orthologs for Homo sapiens and Drosophila melanogaster, computed with the Reciprocal Smallest Distance algorithm using a divergence threshold of 0.8 and an e-value threshold of 1e-5. The orthologs were downloaded from version 4 of the Roundup database, which is no longer available.
DOI: 10.5281/zenodo.3620893
title: Orthologs for Homo Sapiens and Drosophila Melanogaster from the Roundup Orthology Database Version 4

description: This dataset contains orthologs for Homo sapiens and Drosophila melanogaster, computed with the Reciprocal Smallest Distance algorithm using a divergence threshold of 0.8 and an e-value threshold of 1e-5. The orthologs were downloaded from version 4 of the Roundup database, which is no longer available.
DOI: 10.5281/zenodo.3620864
title: Dataset for WP6 KPI evaluation

description: Performance of all WP6 use cases was evaluated through KPIs which were defined (together with the methodology) in the beginning of the InterFlex project. The detail definition of WP6 KPIs is included in deliverable D6.1 Design of solution as KPI annex. Following KPIs for WP6 were defined:<br> 1. KPI6_1: Increasing DER hosting capacity 2. KPI6_2: Power quality (according to the standard EN 50160)3. KPI6_ 3: EV charging stations load curtailment in emergency situations 4. KPI6_4: PV production peak shaving <br> Dataset for each KPI evaluation is included in list of this excel sheet.<br> KPI evaluation conclusionAll expectations in terms of WP6 KPIs were fulfilled. Based on KPIs evaluation it is obvious that WP6 solutions are very promising to increase the DER hosting capacity and control EV charging. KPI evaluation for WP6 is an important input for Scalability and Replicability Analysis and for Cost Benefit Analysis which are further key inputs for the definition of viable business models part of the D6.3 deliverable.
DOI: 10.5281/zenodo.3620866
title: Dataset for EVROPSKÝ PROJEKT INTERFLEX – FINÁLNÍ VÝSLEDKY PROJEKTU A JEJICH VYUŽITÍ PRO ČEZD

description: Dataset for EVROPSKÝ PROJEKT INTERFLEX – FINÁLNÍ VÝSLEDKY PROJEKTU A JEJICH VYUŽITÍ PRO ČEZD
DOI: 10.5281/zenodo.3620867
title: Dataset for EVROPSKÝ PROJEKT INTERFLEX – FINÁLNÍ VÝSLEDKY PROJEKTU A JEJICH VYUŽITÍ PRO ČEZD

description: Dataset for EVROPSKÝ PROJEKT INTERFLEX – FINÁLNÍ VÝSLEDKY PROJEKTU A JEJICH VYUŽITÍ PRO ČEZD
DOI: 10.5281/zenodo.3620872
title: Dataset for Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019 Evropský projekt InterFlex from CK CIRED Tabor 2017

description: Dataset for Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019 Evropský projekt InterFlex from CK CIRED Tabor 2017
DOI: 10.5281/zenodo.3620873
title: Dataset for Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019 Evropský projekt InterFlex from CK CIRED Tabor 2017

description: Dataset for Vliv dobijeni elektromobilu na pomery v distribucni soustave from CK CIRED Tabor 2018 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from SEST2019 Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex from ISGT2019 Evropský projekt InterFlex from CK CIRED Tabor 2017
DOI: 10.5258/soton/d1205
title: Dataset for "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils"
DOI: 10.17632/rtp5bng99v.1
title: Data for: Acoustic emissions from in situ compression and indentation experiments on sea ice

description: Field exp 8a gives data for the compression experiment described; field exp 10a gives data for the indentation experiment.
DOI: 10.5281/zenodo.3620875
title: Dataset for Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex

description: Dataset for Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex
DOI: 10.5281/zenodo.3620876
title: Dataset for Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex

description: Dataset for Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex
DOI: 10.5281/zenodo.3620879
title: Dataset for TESTOVÁNÍ FV STŘÍDAČŮ V LABORATOŘI ČEZ Distribuce

description: Dataset for TESTOVÁNÍ FV STŘÍDAČŮ V LABORATOŘI ČEZ Distribuce
DOI: 10.5281/zenodo.3620880
title: Dataset for TESTOVÁNÍ FV STŘÍDAČŮ V LABORATOŘI ČEZ Distribuce

description: Dataset for TESTOVÁNÍ FV STŘÍDAČŮ V LABORATOŘI ČEZ Distribuce
DOI: 10.5281/zenodo.3620900
title: Dataset for EVROPSKÝ PROJEKT INTERFLEX – PREZENTACE AKTUÁLNÍCH VÝSLEDKŮ PROJEKTU

description: Dataset for EVROPSKÝ PROJEKT INTERFLEX – PREZENTACE AKTUÁLNÍCH VÝSLEDKŮ PROJEKTU
DOI: 10.5281/zenodo.3620901
title: Dataset for EVROPSKÝ PROJEKT INTERFLEX – PREZENTACE AKTUÁLNÍCH VÝSLEDKŮ PROJEKTU

description: Dataset for EVROPSKÝ PROJEKT INTERFLEX – PREZENTACE AKTUÁLNÍCH VÝSLEDKŮ PROJEKTU
DOI: 10.5281/zenodo.3620903
title: Dataset for TECHNICAL SOLUTIONS FOR INCREASING DER HOSTING CAPACITY IN DISTRIBUTION GRIDS IN THE CZECH REPUBLIC IN TERMS OF EUROPEAN PROJECT INTERFLEX

description: Data set for TECHNICAL SOLUTIONS FOR INCREASING DER HOSTING CAPACITY IN DISTRIBUTION GRIDS IN THE CZECH REPUBLIC IN TERMS OF EUROPEAN PROJECT INTERFLEX
DOI: 10.5281/zenodo.3620904
title: Dataset for TECHNICAL SOLUTIONS FOR INCREASING DER HOSTING CAPACITY IN DISTRIBUTION GRIDS IN THE CZECH REPUBLIC IN TERMS OF EUROPEAN PROJECT INTERFLEX

description: Data set for TECHNICAL SOLUTIONS FOR INCREASING DER HOSTING CAPACITY IN DISTRIBUTION GRIDS IN THE CZECH REPUBLIC IN TERMS OF EUROPEAN PROJECT INTERFLEX
DOI: 10.5281/zenodo.3620907
title: Dataset for VYHODNOCENÍ MĚŘENÍ PROVOZU FV STŘÍDAČŮ S POKROČILÝMI FUNKCEMI V DS V PROJEKTU INTERFLEX

description: Dataset for VYHODNOCENÍ MĚŘENÍ PROVOZU FV STŘÍDAČŮ S POKROČILÝMI FUNKCEMI V DS V PROJEKTU INTERFLEX
DOI: 10.5281/zenodo.3620908
title: Dataset for VYHODNOCENÍ MĚŘENÍ PROVOZU FV STŘÍDAČŮ S POKROČILÝMI FUNKCEMI V DS V PROJEKTU INTERFLEX

description: Dataset for VYHODNOCENÍ MĚŘENÍ PROVOZU FV STŘÍDAČŮ S POKROČILÝMI FUNKCEMI V DS V PROJEKTU INTERFLEX
DOI: 10.7910/dvn/rexz8h/4nieap
title: analysis_electoral.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/4tahcy
title: census_amenities.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/6puedt
title: census_ethnic_2005.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/gmxzz8
title: census_locality.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/nqzzgk
title: analysis_HIES.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/pedxb2
title: all_tables_and_figures.tex

description: :unav
DOI: 10.7910/dvn/rexz8h/vpedxe
title: analysis_voter_register.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/xtujye
title: census_agriculture.tab

description: :unav
DOI: 10.5281/zenodo.3620853
title: Dataset for MOŽNOSTI ZVÝŠENÍ PŘIPOJITELNOSTI VÝROBEN S AUTONOMNÍMI REGULAČNÍMI CHARAKTERISTIKAMI NA HLADINĚ NN

description: Dataset for MOŽNOSTI ZVÝŠENÍ PŘIPOJITELNOSTI VÝROBEN S AUTONOMNÍMI REGULAČNÍMI CHARAKTERISTIKAMI NA HLADINĚ NN
DOI: 10.5281/zenodo.3620854
title: Dataset for MOŽNOSTI ZVÝŠENÍ PŘIPOJITELNOSTI VÝROBEN S AUTONOMNÍMI REGULAČNÍMI CHARAKTERISTIKAMI NA HLADINĚ NN

description: Dataset for MOŽNOSTI ZVÝŠENÍ PŘIPOJITELNOSTI VÝROBEN S AUTONOMNÍMI REGULAČNÍMI CHARAKTERISTIKAMI NA HLADINĚ NN
DOI: 10.5281/zenodo.3620859
title: Dataset for INTEGRACE VÝROBEN S U/Q REGULACÍ DO DISTRIBUČNÍCH SÍTÍ VN

description: Dataset for INTEGRACE VÝROBEN S U/Q REGULACÍ DO DISTRIBUČNÍCH SÍTÍ VN
DOI: 10.5281/zenodo.3620860
title: Dataset for INTEGRACE VÝROBEN S U/Q REGULACÍ DO DISTRIBUČNÍCH SÍTÍ VN

description: Dataset for INTEGRACE VÝROBEN S U/Q REGULACÍ DO DISTRIBUČNÍCH SÍTÍ VN
DOI: 10.5281/zenodo.3620862
title: KPI evaluation within the InterFlex project under the D2.5 deliverable

description: This dataset contains data used for KPI evaluation within the InterFlex project under the D2.5 deliverable.
DOI: 10.5281/zenodo.3620863
title: KPI evaluation within the InterFlex project under the D2.5 deliverable

description: This dataset contains data used for KPI evaluation within the InterFlex project under the D2.5 deliverable.
DOI: 10.7910/dvn/rexz8h/7b3wru
title: liberia_clans_fixed.prj

description: :unav
DOI: 10.7910/dvn/rexz8h/c3bsba
title: liberia_clans_fixed.qpj

description: :unav
DOI: 10.7910/dvn/rexz8h/jkzyah
title: Locations_2005.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/k49eo2
title: liberia_clans_fixed.shx

description: :unav
DOI: 10.7910/dvn/rexz8h/k4bkuc
title: Results_2011.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/m5bnbt
title: Locations_2011.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/ptbbj0
title: liberia_clans_fixed.dbf

description: :unav
DOI: 10.7910/dvn/rexz8h/uvko4h
title: census_ethnic_2011.tab

description: :unav
DOI: 10.7910/dvn/rexz8h/zklghp
title: Results_2005.tab

description: :unav
DOI: 10.5281/zenodo.3620911
title: Dataset for Technical Solutions for Increasing PV Penetration in Distribution Grids in the Czech Republic in Terms of Interflex project

description: Dataset for Technical Solutions for Increasing PV Penetration in Distribution Grids in the Czech Republic in Terms of Interflex project
DOI: 10.5281/zenodo.3620912
title: Dataset for Technical Solutions for Increasing PV Penetration in Distribution Grids in the Czech Republic in Terms of Interflex project

description: Dataset for Technical Solutions for Increasing PV Penetration in Distribution Grids in the Czech Republic in Terms of Interflex project
DOI: 10.7910/dvn/rexz8h/fnuihq
title: 3_distance.R

description: :unav
DOI: 10.7910/dvn/rexz8h/gkacpa
title: run_prep.R

description: :unav
DOI: 10.7910/dvn/rexz8h/jl384r
title: 5_gen_dataset.R

description: :unav
DOI: 10.7910/dvn/rexz8h/ls7ewe
title: liberia_clans_fixed.shp

description: :unav
DOI: 10.7910/dvn/rexz8h/mqw7js
title: 2_depvars.R

description: :unav
DOI: 10.7910/dvn/rexz8h/obtkqq
title: 1_ps_clean.R

description: :unav
DOI: 10.7910/dvn/rexz8h/r3oavw
title: all_tables_and_figures.pdf

description: :unav
DOI: 10.7910/dvn/rexz8h/rglrc0
title: 4_covars.R

description: :unav
DOI: 10.7910/dvn/rexz8h/wjijjk
title: Codebook.pdf

description: :unav
DOI: 10.7910/dvn/rexz8h/b7zsxo
title: readme.txt

description: :unav
DOI: 10.7910/dvn/rexz8h/mqwk3h
title: make_tables.do

description: :unav
DOI: 10.7910/dvn/rexz8h/vqmnsc
title: make_figures.R

description: :unav
DOI: 10.21227/2sp6-6x86
title: Research on Fading Characteristics of Ultrahigh Frequency Signals in Karst Landform

description: This dataset is data of research on fading characteristics of ultrashigh frequency signals in Karst landform
DOI: 10.21227/2wfj-tz52
title: Paper Industry

description: The dataset corresponds to the variables that affect the process of passing the sheet between rodsizer and the spooner section for a paper machine.
DOI: 10.21227/40hd-cj56
title: In-smoking respiration and hand gesture IMU signals

description: These CSV files contain the wearable sensor data (RIP and IMU )collected from forty subjects during multiple cigarette smoking sessions.Unix_time;Air_volume;Acc_x;Acc_y;Acc_z;Gyro_z;Gyro_y;Gyro_z;Puff_label1508422775.107716;0.152453;-0.299239;0.643658;0.551803;-19.422554;-5.030965;-0.513648;01508422775.117717;0.158024;-0.295076;0.644872;0.550053;-12.148512;-7.795601;1.466739;01508422775.127717;0.163883;-0.290974;0.647284;0.549203;-4.083356;-10.720964;3.481177;01508422775.137717;0.169834;-0.286920;0.650502;0.550134;4.671266;-13.769435;5.529415;01508422775.147718;0.175980;-0.282592;0.654563;0.553597;13.979452;-16.823568;7.575012;01508422775.157718;0.182117;-0.277179;0.659758;0.559042;23.628141;-19.757325;9.542117;01508422775.167718;0.188229;-0.270221;0.665873;0.564969;33.305498;-22.496849;11.374955;01508422775.177719;0.194513;-0.261979;0.673034;0.570075;42.701115;-24.985147;13.056668;01508422775.187719;0.200926;-0.253093;0.682405;0.573717;51.593177;-27.171810;14.570514;01508422775.197719;0.207171;-0.244214;0.695092;0.575952;59.874517;-29.030667;15.881838;01508422775.207719;0.213248;-0.235723;0.711265;0.577308;67.565673;-30.553937;16.963801;01508422775.217720;0.219274;-0.227696;0.730104;0.578480;74.787456;-31.742250;17.817791;01508422775.227720;0.225176;-0.220078;0.750075;0.579927;81.676203;-32.599463;18.456894;01508422775.237720;0.231179;-0.212882;0.769619;0.581492;88.295862;-33.132336;18.887571;01508422775.247721;0.237298;-0.206192;0.787704;0.582356;94.607785;-33.351479;19.108364;01508422775.257721;0.243359;-0.200163;0.803707;0.581440;100.475061;-33.270067;19.119319;01508422775.267721;0.249413;-0.195036;0.817074;0.577794;105.658952;-32.897144;18.930358;01508422775.277722;0.255340;-0.191107;0.827287;0.570926;109.820421;-32.231325;18.558514;01508422775.287722;0.261106;-0.188594;0.834244;0.561007;112.570786;-31.253126;18.023488;01508422775.297722;0.266806;-0.187517;0.838732;0.548850;113.562244;-29.928963;17.343627;01508422775.307723;0.272397;-0.187681;0.842282;0.535599;112.613273;-28.241053;16.536391;01508422775.317723;0.277908;-0.188643;0.846486;0.522365;109.817024;-26.209185;15.616212;0
DOI: 10.21227/87ms-9r91
title: Heidelberg Spiking Datasets

description: The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.
DOI: 10.21227/frvx-a697
title: Myanmar Sign Language

description: The databases include arrays of alphabets and numbers, ["Ka Gyi" "Ka Kway" "Ga Nge" "Ga Gyi" "Nga" "Sa Lone" "Sa Lane" "0" '0' "Nya" "Ta Talin Jade" "Hta Won Bell" "Dain Yin Gouk" "Dain Yin Hmote" "Na Gyi" "Ta Won Bu" "Hta Sin Htoo" "Da Dway" "Da Out Chike" "Na Nge" "Pa Sout" "Pha Oo Htote" "Ba Htet Chike" "Ba Gone" "Ma" "Ya Pa Lat" "Ya Gout" "La" "Wa" "Tha" "Ha" "La Gyi" "Ah" '0' '1' '2' '3' '4' '5' '6' '7' '8' '9' "10"]. The symbols are recorded as gestures of palm by the MIIT research team and recorded audio file also for each number and alphabet. The symbolic representations of the characters were verified with the help of a school in Mandalay running for deaf and dumb people. Deaf charity Mandalay Myanmar helps in collecting database and other gestures were recorded. All 33 alphabets (from ‘Ka’ to ‘Ah’) and 11 numbers (‘0’ to ‘10’) are created and recorded as images. We also created sound or audio files for all these data with the help of Google Translate Text to Speak (TTS) assistant. Then, some preprocessing was applied to resize and reformat the images.
DOI: 10.21227/gamg-kw86
title: Simulation data for a Monte Carlo Wave-Particle Event-Based Interaction Model

description: The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
DOI: 10.21227/hrcn-cm70
title: THz Wireless Channel Measurements in between 240GHz and 300GHz

description: The experimental measurement setup is performed in an anechoic chamber to secure the LOS transmission at the Millimeter Wave and Terahertz Technologies Research Laboratories (MILTAL), Scientific and Technological Research Council of Turkey (TUBİTAK), Kocaeli. The dimensions of anechoic chamber are 7m × 4m × 3m. The dataset includes channel impulse response in between 240GHz and 300GHz for the transmitter-receiver distance of 20cm, 30cm, 40cm, 60cm, and 80cm.
DOI: 10.21227/ndsq-hp87
title: Road Surface Damages

description: Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection. Such dataset could be used in a great variety of applications; herein, it is intended to serve as the acquisition component of a physical asset management tool which can aid governments agencies for planning purposes, or by infrastructure maintenance companies. described in https://github.com/sekilab/RoadDamageDetector/ and available here https://mycityreport.s3-ap-northeast-1.amazonaws.com/02_RoadDamageDataset/RoadDamageDataset.tar.gz), by incoporating more examples of potholes and longitudinal and alligator cracks
DOI: 10.21227/kf3a-qj05
title: Ten Dynamic Hand Gesture Tracking

description: This data consists of ten gestures. The format is CSV, arranged in thirty features that end with a label. Each movement is repeated five times and the coordinates are obtained. The sensor used is LeapMotion. This data can be used as a means of machine learning exercises. can be used for students learning machine learning subjects. articles that have used this data can be seen at the link: https://doi.org/10.1109/CENIM.2018.8711397andhttp://www.engineeringletters.com/issues_v26/issue_3/EL_26_3_09.pdf
DOI: 10.21227/rcv5-bw19
title: WiFi RSSI Indoor Localization

description: A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.
DOI: 10.25934/00005157
title: Cure Duchenne data package upload (2)

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.3621222
title: Paper Repository and References for "Early software defect prediction: A systematic map and review"

description: Context: Software defect prediction is a trending research topic, and a wide variety of the published papers focus on coding phase or after. A limited number of papers, however, includes the prior (early) phases of the software development lifecycle (SDLC).<br> Objective: The goal of this study is to obtain a general view of the characteristics and usefulness of Early Software Defect Prediction (ESDP) models reported in scientific literature. <br> Method: A systematic mapping and systematic literature review study has been conducted. We searched for the studies reported between 2000 and 2016. We reviewed 52 studies and analyzed the trend and demographics, maturity of state-of-research, in-depth characteristics, success and benefits of ESDP models. <br> Results: We found that categorical models that rely on requirement and design phase metrics, and few continuous models including metrics from requirements phase are very successful. We also found that most studies reported qualitative benefits of using ESDP models.<br> Conclusion: We have highlighted the most preferred prediction methods, metrics, datasets and performance evaluation methods, as well as the addressed SDLC phases. We expect the results will be useful for software teams by guiding them to use early predictors effectively in practice, and for researchers in directing their future efforts.
description: To ensure transparency of our work, we have made the entire repository of the primary studies available.
description: {"references": ["R. \u00d6zak\u0131nc\u0131 and A. Tarhan, \"Early software defect prediction: A systematic map and review,\" J. Syst. Softw., vol. 144, pp. 216\u2013239, 2018. https://doi.org/10.1016/j.jss.2018.06.025."]}