cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1486562
title: One-Dimensional Shallow Flow Solution Data With Uncertain Topography

description: Raw tabulated data generated by SEAMLESS-WAVE stochastic models.
DOI: 10.7910/dvn/jvpvtu/bgsuoa
title: SR1008.tif.xml
DOI: 10.7910/dvn/jvpvtu/bsxy9t
title: SR0306.tif.xml
DOI: 10.7910/dvn/jvpvtu/evgbnr
title: SR0510.tif.xml
DOI: 10.7910/dvn/jvpvtu/r70f3p
title: SR1110.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/xhui3z
title: SR0314.tif.xml
DOI: 10.7910/dvn/jvpvtu/zq2xg5
title: SR1014.tif.aux.xml
DOI: 10.7910/dvn/npa6z9/38r4sg
title: Oregon-Match08.R
DOI: 10.7910/dvn/npa6z9/fezbzp
title: CC-Match06-SC-W.R
DOI: 10.7910/dvn/npa6z9/hzigl3
title: Forsyth-Match02-P-W.tab
DOI: 10.7910/dvn/npa6z9/mx9nd2
title: Match-Oregon.txt
DOI: 10.7910/dvn/npa6z9/qy1ddf
title: Marietta-Panel-W.tab
DOI: 10.7910/dvn/npa6z9/vdba03
title: Panel_Outcomes.R
DOI: 10.7910/dvn/npa6z9/w6k7lq
title: CPP-Results-2004-W.RData
DOI: 10.7910/dvn/wdlzgr/1yawsg
title: Wind_dir_2001_11.tif.xml
DOI: 10.7910/dvn/wdlzgr/58rglq
title: Wind_dir_2000_9.tif.xml
DOI: 10.7910/dvn/wdlzgr/bxahyx
title: Wind_dir_2001_7.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/rtc7yr
title: Wind_dir_2000_6.tif.xml
DOI: 10.7910/dvn/wdlzgr/xbvpm7
title: Wind_dir_2005_9.tif.aux.xml
DOI: 10.7910/dvn/erkcls/bstkpk
title: CERC Dataset (Full Hadza Data).xls
DOI: 10.7910/dvn/jvpvtu/22jgtk
title: SR0112.tif.xml
DOI: 10.7910/dvn/jvpvtu/98rfs5
title: SR1209.tif.xml
DOI: 10.7910/dvn/jvpvtu/f14nxy
title: SR0807.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/g0irtj
title: SR0906.tif.xml
DOI: 10.7910/dvn/jvpvtu/sddmpw
title: SR0414.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/ufykqf
title: SR1212.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/ygrxcn
title: SR1210.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/zaxshi
title: SR0604.tif.aux.xml
DOI: 10.7910/dvn/npa6z9/fhzr59
title: Match02-Oregon-W.tab
DOI: 10.7910/dvn/npa6z9/jib5vv
title: Match06-Oregon-W.tab
DOI: 10.7910/dvn/npa6z9/kzp2eh
title: D2-Results-2002-TenSubclass.RData
DOI: 10.7910/dvn/npa6z9/l1uqdc
title: CPPWhite-Match04-P.tab
DOI: 10.7910/dvn/npa6z9/msshaz
title: .Rapp.history
DOI: 10.7910/dvn/npa6z9/vupg2t
title: Forsyth-Match98.R
DOI: 10.7910/dvn/wdlzgr/1sfeh3
title: Wind_dir_2003_7.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/9upcrh
title: Wind_dir_2005_3.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/cdgdqw
title: Wind_dir_2001_8.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/n4c0tg
title: Wind_dir_2001_10.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/vzkvxn
title: Wind_dir_2005_12.tif.xml
DOI: 10.7910/dvn/wdlzgr/xfpxue
title: Wind_dir_2000_7.tif.xml
DOI: 10.7910/dvn/wdlzgr/xibtzk
title: Wind_dir_2004_4.tif.aux.xml
DOI: 10.13135/ela-157
title: Dedication of the phyle Hippothontis
DOI: 10.17632/865525x5f9.1
title: ALM

description: Work on paper for SWGSB
DOI: 10.17632/m7gc59vnp3.1
title: Data for: Four hundred shades of brown: Higher level phylogeny of the problematic Euptychiina (Lepidoptera, Nymphalidae, Satyrinae) based on hybrid enrichment data

description: This dataset contains data for the paper Espeland et al. xxx. Four hundred shades of brown: Higher level phylogeny of the problematic Euptychiina (Lepidoptera, Nymphalidae, Satyrinae) based on hybrid enrichment data. Molecular Phylogenetics and Evolution, https://doi.org/10.1016/j.ympev.2018.10.039 The following data is available: 1) Alignments_of_all_loci.zip: Alignments in fasta format of all loci used in the analyses 2) Concatenated_alignments_models_and_partition_files.zip : The concatenated alignment in phylip format, as well as both a locus partition file (part.txt), which can be used to split the alignment into individual loci, and a file (models_merge.nex) with the partitions and substitution models used in the analyses. 3) Maximum_likelihood_newick.tree: The maximum likelihood tree topology inferred using IQ-tree. In newick format. 4) Exabayes.tree: Maximum credibility tree inferred using bayesian inference in Exabayes. In nexus format. 5) ASTRAL_output_filtered.tre: Species tree topology inferred using ASTRAL based on the filtered dataset, e.g. only loci longer than 250bps and with a GC value lower than 60 were included. In newick format. 6) ASTRAL_ouput_all.tree: Species tree topology inferred using ASTRAL based on the total dataset. In newick format. Raw sequence data can be found at the NCBI Short Read Archive: Bioproject PRJNA483787
DOI: 10.17632/px5fkz9pv3.1
title: Power System Data for Relay Coordination

description: This dataset contains all basic information for Four transmission systems (IEEE-3, IEEE-6, IEEE-8, and IEEE-30 Bus). Those systems are commonly implemented to corroborate relay coordination models and to solve this optimization problem.
DOI: 10.7910/dvn/jvpvtu/3p4wem
title: SR0205.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/9tzfm9
title: SR1013.tif.xml
DOI: 10.7910/dvn/jvpvtu/czqrj0
title: SR0213.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/fawt4r
title: SR0311.tif.xml
DOI: 10.7910/dvn/jvpvtu/gpcykw
title: SR0308.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/osxc1j
title: SR0709.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/owuqoc
title: SR0212.tif.aux.xml
DOI: 10.7910/dvn/npa6z9/b35q4p
title: D2-Match04.tab
DOI: 10.7910/dvn/npa6z9/fig5pk
title: Cobb-Split-Match08.tab
DOI: 10.7910/dvn/npa6z9/kwibgq
title: Forsyth-Results-2002-W.RData
DOI: 10.7910/dvn/npa6z9/plepv3
title: Oregon-Match08-W.R
DOI: 10.7910/dvn/npa6z9/tb6oyq
title: Cobb-Split-Match02.tab
DOI: 10.7910/dvn/npa6z9/v7yrhs
title: Panel.RData
DOI: 10.7910/dvn/npa6z9/xnnif4
title: Oregon-Panel.tab
DOI: 10.7910/dvn/npa6z9/zx6huu
title: Match06-Marietta-W.tab
DOI: 10.7910/dvn/wdlzgr/2gvuay
title: Wind_dir_2005_4.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/f4dtz6
title: Wind_dir_2002_7.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/femmnw
title: Wind_dir_2004_11.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/kwes22
title: Wind_dir_2000_2.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/wqres4
title: Wind_dir_2002_5.tif.xml
DOI: 10.7910/dvn/wdlzgr/x9d6yj
title: Wind Direction Metadata.pdf
DOI: 10.17632/5gszp2sxsh.1
title: Traumatic brain injury

description: This dataset contains entries of the admission assessment of Neurotraumatic patients admitted to the hosputal and their discharge status.
DOI: 10.5281/zenodo.1486193
title: Dataset On Grant Fund Mismanagement And Funding The Researcher

description: This dataset was collected in December 2017. Participants (N=53) were graduate students in psychology. Questionnaire was self-report. The survey asked questions about grant and publishing experience, pressures associated with grants or publications, and demographics (e.g. age, gender, family income, year in graduate school, etc.). Participants were asked whether they preferred a funding the researcher or funding the project design. There was also an experimental component, whereby participants were randomly assigned to the experimental or control condition. In the experimental condition, they read a false APA ethics code concerning grant fund management. Participants then read through 7 ethically gray scenarios regarding grant management, and indicated if they would act similarly.
DOI: 10.5281/zenodo.1486194
title: Dataset On Grant Fund Mismanagement And Funding The Researcher

description: This dataset was collected in December 2017. Participants (N=53) were graduate students in psychology. Questionnaire was self-report. The survey asked questions about grant and publishing experience, pressures associated with grants or publications, and demographics (e.g. age, gender, family income, year in graduate school, etc.). Participants were asked whether they preferred a funding the researcher or funding the project design. There was also an experimental component, whereby participants were randomly assigned to the experimental or control condition. In the experimental condition, they read a false APA ethics code concerning grant fund management. Participants then read through 7 ethically gray scenarios regarding grant management, and indicated if they would act similarly.
DOI: 10.7910/dvn/jvpvtu/6pqwck
title: SR0613.tif.xml
DOI: 10.7910/dvn/jvpvtu/9fs1nj
title: SR0711.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/bb9zh2
title: SR0513.tif.xml
DOI: 10.7910/dvn/jvpvtu/elhasl
title: SR0712.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/moyj7g
title: SR0805.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/sov6jt
title: SR0109.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/tkxl4a
title: SR0913.tif.xml
DOI: 10.7910/dvn/npa6z9/2ypmwr
title: Match06-Oregon.tab
DOI: 10.7910/dvn/npa6z9/85wl5a
title: Forsyth-match04-W.job
DOI: 10.7910/dvn/npa6z9/fldc4j
title: .Rapp.history
DOI: 10.7910/dvn/npa6z9/lhoznu
title: Forsyth-Match98-W.Rout
DOI: 10.7910/dvn/npa6z9/n5mxv4
title: Match02.tab
DOI: 10.7910/dvn/npa6z9/s0rfcx
title: CPP-Match02P-W.R
DOI: 10.7910/dvn/npa6z9/xfcth9
title: Oregon-Panel-W.tab
DOI: 10.7910/dvn/npa6z9/yjpnlj
title: Forsyth-Match04.tab
DOI: 10.7910/dvn/wdlzgr/83ot8x
title: Wind_dir_2002_1.tif.xml
DOI: 10.7910/dvn/wdlzgr/bh4gve
title: Wind_dir_2001_2.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/eeykk6
title: Wind_dir_2003_12.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/gttjcl
title: Wind_dir_2002_2.tif.xml
DOI: 10.7910/dvn/wdlzgr/jdjj7t
title: Wind_dir_2002_5.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/l5rnfk
title: Wind_dir_2005_8.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/rpf1xj
title: Wind_dir_2003_7.tif.xml
DOI: 10.17632/686sc6snxc.1
title: Dataset of CM and CM-FfM tasks

description: Our Hypothesis was to study whether global motion perception in autism decline if Form-from motion (FfM) details embedded in the global picture. We conducted data from 14 adults with autism IQ&gt; 75 and 14 adults with same age, gender, and academic level from a control group. We used the RDK stimulus to generate different levels of coherent motion, and we measured the threshold ( minimum number of dots that run in one direction are required to define the direction of the coherent dots), in on task of coherent motion (CM) and compared with the threshold with the same task but with embedding a Form-from motion shape that moved in the center of the stimulus and in 45 degree from the direction of the coherent dots. We collected the following data: the threshold of CM and CM-FfM tasks, the average response time for both tasks, and the percentage of correct responses to the shape at each coherent levels. Results showed that in CM task, both groups showed similar performance, however, when the FfM shape was embedded, the autism group performance declined dramatically. In our publication of " Is Global Motion Perception Affected in Adults with Autism When Form-from Motion Stimulus is Embedded ?" we explained more about what could be behind this global/local biased of motion perception in autism.
DOI: 10.17632/7yhy5b5mj4.1
title: FE Foot Model - Passive soft tissues study

description: The videos show some examples of the simulations performed using the model described in the manuscript: “Analysis of the main soft tissues associated with adult acquired flatfoot deformity development: A computational modeling approach” under review process in the Journal of Biomechanics. The name of each one have the description of the simulation performed. The videos were captured showing the lateral and coronal views. We recommend to use the Windows media player to reproduce the videos. All of them are in .AVI
DOI: 10.17632/rptvtcyj2h.2
title: Empathy Score Data

description: This data represents scored empathy questionnaires from 68 7th and 8th-grade students during a visit to a retirement center. All students were given a baseline empathy questionnaire the day prior to the visit, at the same time that the visit would take place. During the visit, students were broken up into two equal groups. Half of the students conducted reciprocal interviews with one another (peer interviews), and half conducted reciprocal interviews with an elderly person. Following this first session, all students were given an empathy questionnaire. Then students in the peer and elder groups switched. Empathy scores were gathered following the second session as well. Three, five-question forms measured baseline, post-peer interview, and post-student-elder interview empathy levels. This questionnaire was created by Gaumer and colleagues (2016). Questions were distributed at random throughout the baseline, peer-interview, and student-elder interviews in case certain questions encouraged higher or lower empathy responses. All returned responses were anonymous. Students were directed to take as long as they need to answer the questions, with no less than three minutes for each five-question form.
DOI: 10.7910/dvn/jvpvtu/25mm4n
title: SR1104.tif.xml
DOI: 10.7910/dvn/jvpvtu/2wkja0
title: SR0909.tif.xml
DOI: 10.7910/dvn/jvpvtu/dh14q7
title: SR0708.tif.aux.xml
DOI: 10.7910/dvn/npa6z9/iu67kp
title: Panel.txt
DOI: 10.7910/dvn/npa6z9/qrxcg8
title: Oregon-Match02.R
DOI: 10.7910/dvn/npa6z9/qszzqu
title: Forsyth-match06-W.job
DOI: 10.7910/dvn/npa6z9/uem1fw
title: Marietta-Match06.R
DOI: 10.7910/dvn/npa6z9/utmgg3
title: Results-2006.RData
DOI: 10.7910/dvn/npa6z9/vvdku1
title: Match02-P.tab
DOI: 10.7910/dvn/wdlzgr/ckq7b5
title: Wind_dir_2002_12.tif.xml
DOI: 10.7910/dvn/wdlzgr/ifi67q
title: Wind_dir_2003_6.tif.xml
DOI: 10.7910/dvn/wdlzgr/t5d901
title: Wind_dir_2000_7.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/vrenay
title: Wind_dir_2003_12.tif.xml
DOI: 10.17632/6rrtmbsxtt.1
title: sacrum tumor resection PBM

description: Retrospectively collected to analyze clinical outcomes related with sacrum tumor resection
DOI: 10.17632/8vmjk3zp8h.2
title: Excel Pricing Workbook: How to Price Swaps in Your Head - An Interest Rate Swap & Asset Swap Primer

description: Interest Rate Swap Excel Pricing and Risk Workbook with Market Data
DOI: 10.17632/bfp55yvfxx.1
title: HardwareX Data: Multi-axis Stress Sensor Characterization and Testing Platform

description: This repository contains the supplement files for the HardwareX Journal titled: Multi-axis Stress Sensor Characterization and Testing Platform Authors: Talha Agcayazi*, Marc Foster, Hannah Kausche, Max Gordon, Alper Bozkurt Affiliations: Electric and Computer Engineering, North Carolina State University Contact email: [tmagcaya@ncsu.edu] Abstract: Multi-Axis mechanical stress sensors have become an important tool in numerous fields. To characterize the quality and resolution of a new stress sensor, researchers use test platforms to apply controlled amounts of shear and normal stresses. Since commercially available multi-axis test platforms are expensive, in many cases researchers end up needing to build their own sensor characterization platforms. In this study, we describe a cost-effective multi-axis stress sensor characterization platform to reduce development time, enable accurate benchmarking and provide an open source standard for stress sensor characterization for other researchers. In our design, we combined a 3-axis translational stage and a 3-axis force and torque (F/T) sensor through custom hardware and software. Our platform is cost effective and can reach the limits of the F/T sensor (Fxy = ±65N and Fz = ±200N) without losing any accuracy to structural bending. We provide detailed construction and operation instructions as well as results of extensive static and cyclic load experiments. To further validate our system, we show characterization results from a custom stress sensor as a case study. The modular nature of our platform also enables other researchers to customize this characterization platform for their unique experimental requirements.
DOI: 10.25921/rjq4-cq67
title: Earth Systems Research Laboratory Global Radiation Surface Radiation Budget (SURFRAD) Quality Control Radiation (QCRAD) Level 3 Measurements
DOI: 10.7910/dvn/jvpvtu/2ky1zd
title: SR0504.tif.xml
DOI: 10.7910/dvn/jvpvtu/becnlu
title: SR0407.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/c50lzu
title: SR0204.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/f0k4fl
title: SR0607.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/lgypgk
title: SR0210.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/tpwugu
title: SR0307.tif.xml
DOI: 10.7910/dvn/jvpvtu/tsfy4b
title: SR0712.tif.xml
DOI: 10.7910/dvn/npa6z9/81hkcd
title: Outcome_Estimates.R
DOI: 10.7910/dvn/npa6z9/c0vnsj
title: CPP-Results-1998-W.RData
DOI: 10.7910/dvn/npa6z9/g4ty8q
title: Marietta-Match08-W.R
DOI: 10.7910/dvn/npa6z9/gqnggl
title: D2-Results-2002-W.RData
DOI: 10.7910/dvn/npa6z9/j3amqe
title: Results-1998.RData
DOI: 10.7910/dvn/npa6z9/lrpdq8
title: Panel-Oregon-W.txt
DOI: 10.7910/dvn/npa6z9/uy9nyy
title: CPPWhite-Prim-Match02-P.tab
DOI: 10.7910/dvn/npa6z9/xtaoao
title: Forsyth-Results-2002-W.txt
DOI: 10.7910/dvn/wdlzgr/3xn0d0
title: Wind_dir_2000_11.tif.xml
DOI: 10.7910/dvn/wdlzgr/83shlr
title: Wind_dir_2004_8.tif.xml
DOI: 10.7910/dvn/wdlzgr/boqa7i
title: Wind_dir_2000_10.tif.xml
DOI: 10.7910/dvn/wdlzgr/ixcrsl
title: Wind_dir_2003_3.tif.xml
DOI: 10.7910/dvn/wdlzgr/k4ggig
title: Wind_dir_2002_9.tif.xml
DOI: 10.7910/dvn/wdlzgr/p87wwq
title: Wind_dir_2000_11.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/vssxid
title: Wind_dir_2004_8.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/wf47je
title: Wind_dir_2003_1.tif.xml
DOI: 10.7910/dvn/wdlzgr/wrsek1
title: Wind_dir_2004_7.tif.xml
DOI: 10.7910/dvn/wdlzgr/xxi23m
title: Wind_dir_2000_12.tif.aux.xml
DOI: 10.13135/ela-146
title: Dedication of the phyle Erechtheis
DOI: 10.17632/3cmtb9n9ph.1
title: Joint Fire Science Program (JFSP) Dataset- Vegetative Firebrands

description: The dataset includes physical properties of generated vegetative firebrands from full-scale tests that have been performed between 2016 and 2017 in the Insurance Institute for Business & Home Safety (IBHS) Research Center in Richburg, South Carolina. Physical properties, including mass, projected area, and flying distance have been measured in the Materials Flammability Laboratory in the University of North Carolina at Charlotte located in Charlotte, North Carolina.
DOI: 10.17632/scg5yx7wfr.2
title: Effectiveness and Acceptability of Audiovisual Aids (Videos) for Increasing Knowledge of Neonatal Danger Signs among Primiparous Women: A Randomized Controlled Trial

description: Aim: To determine whether health education using audiovisual aids (video) and the standard mother and child health booklet among primiparous women increases knowledge of neonatal danger signs compared to use of the standard mother and child health booklet alone. To evaluate acceptability of audiovisual aids for health education. Results: At baseline, 153 mothers were enrolled (Intervention:77, Control:76). The two arms of the study were comparable for socio-demographics and care seeking. At week 1, the intervention arm had greater knowledge of trouble breathing (OR 2.5 95% CI 1.25-5) and red swollen eyes with drainage (OR 2.5 95% CI 1.4-5). At week 4, the intervention arm had greater knowledge of 5 of the 10 signs i.e. less energy (OR 2.5 95% CI 1.25-5), fits (OR 2.5 95% CI 1.1-5), trouble breathing (OR 3.3 95% CI 1.6-5), skin pustules (OR 2.5 95% CI 1.1-5) and red swollen eyes with drainage (OR 5 95% CI 2-10). About 85% of mothers thought the audiovisual aids were beneficial.
DOI: 10.17632/x6yww4dnm6.1
title: Joint Fire Science Program (JFSP) Dataset- Structural Firebrands

description: The dataset includes physical properties of generated structural firebrands from full-scale tests that have been performed between 2016 and 2017 in the Insurance Institute for Business & Home Safety (IBHS) Research Center in Richburg, South Carolina. Physical properties, including mass, projected area, and flying distance, have been measured in the Materials Flammability Laboratory in the University of North Carolina at Charlotte located in Charlotte, North Carolina.
DOI: 10.7910/dvn/jvpvtu/h5hr0z
title: SR0110.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/jnczso
title: SR0306.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/ljk9hb
title: SR0213.tif.xml
DOI: 10.7910/dvn/jvpvtu/mqaggu
title: SR1108.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/rpbvo9
title: SR0807.tif.xml
DOI: 10.7910/dvn/jvpvtu/ru44cc
title: SR0214.tif.aux.xml
DOI: 10.7910/dvn/jvpvtu/smgsmi
title: SR0706.tif.aux.xml
DOI: 10.7910/dvn/npa6z9/0mowdh
title: .Rapp.history
DOI: 10.7910/dvn/npa6z9/ehrkmg
title: Match06.R
DOI: 10.7910/dvn/npa6z9/head1k
title: Prim-Match02.tab
DOI: 10.7910/dvn/npa6z9/np26df
title: Match-Marietta.txt
DOI: 10.7910/dvn/npa6z9/oiccez
title: Prim-Match02-P.tab
DOI: 10.7910/dvn/npa6z9/ushzd6
title: Forsyth-Match06.R
DOI: 10.7910/dvn/npa6z9/wukuc8
title: CPPWhite-Prim-Match02.tab
DOI: 10.7910/dvn/npa6z9/xyvvdk
title: Matching.txt
DOI: 10.7910/dvn/npa6z9/yzwnbx
title: Forsyth-Match06-P-W.tab
DOI: 10.7910/dvn/wdlzgr/fwdech
title: Wind_dir_2004_2.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/h4wiew
title: Wind_dir_2002_3.tif.xml
DOI: 10.7910/dvn/wdlzgr/lmnfvg
title: Wind_dir_2004_10.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/psprtk
title: Wind_dir_2001_5.tif.aux.xml
DOI: 10.7910/dvn/wdlzgr/ugvzix
title: Wind_dir_2001_7.tif.xml
DOI: 10.7910/dvn/wdlzgr/wv74ag
title: Wind_dir_2005_4.tif.xml
DOI: 10.17632/6cm9wyd5g5.1
title: Educational Attainment in North Carolina Public Schools: Use of statistical modeling, data mining techniques, and machine learning algorithms to explore 2014-2017 North Carolina Public School datasets.

description: The purpose of data mining analysis is always to find patterns of the data using certain kind of techiques such as classification or regression. It is not always feasible to apply classification algorithms directly to dataset. Before doing any work on the data, the data has to be pre-processed and this process normally involves feature selection and dimensionality reduction. We tried to use clustering as a way to reduce the dimension of the data and create new features. Based on our project, after using clustering prior to classification, the performance has not improved much. The reason why it has not improved could be the features we selected to perform clustering are not well suited for it. Because of the nature of the data, classification tasks are going to provide more information to work with in terms of improving knowledge and overall performance metrics. From the dimensionality reduction perspective: It is different from Principle Component Analysis which guarantees finding the best linear transformation that reduces the number of dimensions with a minimum loss of information. Using clusters as a technique of reducing the data dimension will lose a lot of information since clustering techniques are based a metric of 'distance'. At high dimensions euclidean distance loses pretty much all meaning. Therefore using clustering as a "Reducing" dimensionality by mapping data points to cluster numbers is not always good since you may lose almost all the information. From the creating new features perspective: Clustering analysis creates labels based on the patterns of the data, it brings uncertainties into the data. By using clustering prior to classification, the decision on the number of clusters will highly affect the performance of the clustering, then affect the performance of classification. If the part of features we use clustering techniques on is very suited for it, it might increase the overall performance on classification. For example, if the features we use k-means on are numerical and the dimension is small, the overall classification performance may be better. We did not lock in the clustering outputs using a random_state in the effort to see if they were stable. Our assumption was that if the results vary highly from run to run which they definitely did, maybe the data just does not cluster well with the methods selected at all. Basically, the ramification we saw was that our results are not much better than random when applying clustering to the data preprocessing. Finally, it is important to ensure a feedback loop is in place to continuously collect the same data in the same format from which the models were created. This feedback loop can be used to measure the model real world effectiveness and also to continue to revise the models from time to time as things change.
DOI: 10.17632/wcmdz6mvr4.1
title: Uptime and response time

description: This dataset contains the information about 305 shared web hosting providers, their uptime, response time, number of servers and sites for the period of the previous 3 months (08/14/2018 – 11/11/018).