cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cmu.the.2001.162
title: ผลการเรียนโดยใช้บทเรียนไฮเปอร์บุ๊กเพื่อการสอนเสริม สำหรับนักเรียนชั้นประถมศึกษาปีที่ 5 โรงเรียนไชยโรจน์วิทยา
DOI: 10.14457/cmu.the.2001.163
title: ศักยภาพในการเป็นกองบินส่งเสริมสุขภาพของกองบิน 41 จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2001.164
title: ค่าใช้จ่ายสุทธิทางตรงจากการบริบาลเภสัชกรรมผู้ป่วยในชาย แผนกอายุรกรรม โรงพยาบาลลำปาง
DOI: 10.14457/cmu.the.2002.515
title: เชาวน์ปัญญาและสุขภาพจิตของนักเรียนชั้นมัธยมศึกษาปีที่ 1 ในโรงเรียนขยายโอกาสทางการศึกษา สังกัดสำนักงานการประถมศึกษาอำเภอแม่อาย จังหวัดเชียงใหม่
DOI: 10.3886/e116520v2
title: Replication data for: Life-Cycle Consumption Patterns at Older Ages in the United States and the United Kingdom: Can Medical Expenditures Explain the Difference?

description: This paper documents significantly steeper declines in nondurable expenditures at older ages in the United Kingdom compared to the United States, in spite of income paths being similar. Several possible causes are explored, including different employment paths, housing ownership and expenses, levels and paths of health status, number of household members, and out-of-pocket medical expenditures. Among all the potential explanations considered, those relating to health care—differences in levels and age paths in medical expenses and medical expenditure risk—can fully account for the steeper declines in nondurable consumption in the United Kingdom compared to the United States.
DOI: 10.6073/pasta/cf300ead3c83db3bcc8c37195569dc23
title: PBG04 Reproductive effort of Big Bluestem, Indiangrass and Little Bluestem in the Patch-Burn Grazing Experiment at Konza Prairie

description: 'PBG' datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. PBG041 includes data on flowering stem height (m) of three dominant prairie grasses: Andropogon gerardii (ANGE), Sorghastrum nutans (SONU), and Schizachyrium scoparium (ANSC). PBG042 includes flowering stem density (no. per sq. m) and mass (grams per sq. m) for the same grass species.
DOI: 10.7483/opendata.opera.93hc.phoq
title: OPERA neutrino-induced charmed hadron event 9180028411
DOI: 10.7483/opendata.opera.ggun.oi8e
title: OPERA neutrino-induced charmed hadron event 9152034063
DOI: 10.7483/opendata.opera.kcny.95no
title: OPERA neutrino-induced charmed hadron event 9163097136
DOI: 10.7483/opendata.opera.lu2m.t647
title: OPERA neutrino-induced charmed hadron event 9184112367
DOI: 10.7483/opendata.opera.px6n.b3i0
title: OPERA neutrino-induced charmed hadron event 9189079481
DOI: 10.7483/opendata.opera.tusg.5420
title: OPERA neutrino-induced charmed hadron event 9187032220
DOI: 10.7483/opendata.opera.x99o.nex3
title: OPERA neutrino-induced charmed hadron event 9153055713
DOI: 10.7483/opendata.opera.xp6b.b3fv
title: OPERA neutrino-induced charmed hadron event 9185049172
DOI: 10.14457/cmu.the.2001.165
title: การศึกษาขอบเขตของจำนวนแรมเซย์บางจำนวน
DOI: 10.14457/cmu.the.2002.516
title: สภาพทางเศรษฐกิจ สังคม และวิถีชีวิตของชาวไทยภูเขาเผ่าม้ง ที่มีผลต่อการเสื่อมโทรมของทรัพยากรธรรมชาติและสิ่งแวดล้อม ในอำเภอแม่แจ่ม จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2002.517
title: กระบวนการถ่ายทอดความรู้และประสบการณ์ด้านการเกษตรบนที่สูงอย่างยั่งยืน : กรณีศึกษาชุมชนม้งบ้านสันป่าเดี๊ยะ ตำบลแม่นะ อำเภอเชียงดาว จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2002.518
title: การพัฒนาผลิตภัณฑ์เนคต้ามะม่วงผสมสมุนไพร
DOI: 10.14457/cmu.the.2002.519
title: ความเชื่อเรื่องผีในชุมชนชนบทภาคเหนือ
DOI: 10.7483/opendata.opera.3kj9.3uhq
title: OPERA neutrino-induced charmed hadron event 9214106181
DOI: 10.7483/opendata.opera.5esv.4fbb
title: OPERA neutrino-induced charmed hadron event 9253108902
DOI: 10.7483/opendata.opera.ayag.oz5q
title: OPERA neutrino-induced charmed hadron event 9262083703
DOI: 10.7483/opendata.opera.hv5k.q65f
title: OPERA neutrino-induced charmed hadron event 9248074251
DOI: 10.7483/opendata.opera.zuzc.t7fy
title: OPERA neutrino-induced charmed hadron event 9231046733
DOI: 10.7483/opendata.opera.e23m.z488
title: OPERA neutrino-induced charmed hadron event 9273029609
DOI: 10.7483/opendata.opera.eazu.gc9e
title: OPERA neutrino-induced charmed hadron event 9291027303
DOI: 10.21227/nz54-wm32
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.5281/zenodo.3836615
title: Mixing ratios and FRFs of ODSs observed in air samples from research aircraft campaigns in 2016 and 2017

description: This data set consists of mixing ratios and fractional release factors of ozone-depleting substances measured in air samples collected during research aircraft campaigns in 2016 and 2017 which were both sampling air masses related to the upper part of the Asian Summer Monsoon and above. These activities were part of the EU Stratoclim-603557 project and a corresponding manuscript has been submitted to the journal JGR Atmospheres.
DOI: 10.7483/opendata.opera.6oc6.40jd
title: OPERA neutrino-induced charmed hadron event 9306092701
DOI: 10.7483/opendata.opera.7dk1.b2e4
title: OPERA neutrino-induced charmed hadron event 9302097642
DOI: 10.7483/opendata.opera.kb3r.5zm4
title: OPERA neutrino-induced charmed hadron event 9315114545
DOI: 10.7483/opendata.opera.41w8.qeg8
title: OPERA electron neutrino event 10312027541
DOI: 10.7483/opendata.opera.dcmt.0r6d
title: OPERA neutrino-induced charmed hadron event 9318073896
DOI: 10.7483/opendata.opera.ffoa.c60k
title: OPERA electron neutrino event 10299040193
DOI: 10.7483/opendata.opera.fn68.4jqp
title: OPERA electron neutrino event 10257032729
DOI: 10.7483/opendata.opera.hm8i.nwil
title: OPERA electron neutrino event 10157017947
DOI: 10.7483/opendata.opera.ogv5.jp9f
title: OPERA neutrino-induced charmed hadron event 9317000655
DOI: 10.5281/zenodo.3833938
title: RuBQ

description: We present RuBQ (pronounced [`rubik]) -- Russian Knowledge Base Questions, a KBQA dataset that consists of 1,500 Russian questions of varying complexity along with their English machine translations, corresponding SPARQL queries, answers, as well as a subset of Wikidata covering entities with Russian labels. To the best of our knowledge, this is the first Russian KBQA and semantic parsing dataset. The dataset is thought to be used as a development and test sets in cross-lingual transfer, few-shot learning, or learning with synthetic data scenarios. Detailed information about RuBQ can be found on the Github page.
DOI: 10.5281/zenodo.3833939
title: RuBQ

description: We present RuBQ (pronounced [`rubik]) -- Russian Knowledge Base Questions, a KBQA dataset that consists of 1,500 Russian questions of varying complexity along with their English machine translations, corresponding SPARQL queries, answers, as well as a subset of Wikidata covering entities with Russian labels. To the best of our knowledge, this is the first Russian KBQA and semantic parsing dataset. The dataset is thought to be used as a development and test sets in cross-lingual transfer, few-shot learning, or learning with synthetic data scenarios. Detailed information about RuBQ can be found on the Github page.
DOI: 10.7483/opendata.opera.1bso.pftn
title: OPERA electron neutrino event 11164031847
DOI: 10.7483/opendata.opera.1vb0.bx4o
title: OPERA electron neutrino event 12082052269
DOI: 10.7483/opendata.opera.dcst.qr93
title: OPERA electron neutrino event 11136028585
DOI: 10.7483/opendata.opera.dm7l.nwsn
title: OPERA electron neutrino event 11220031747
DOI: 10.7483/opendata.opera.s6pj.1x1w
title: OPERA electron neutrino event 12092012487
DOI: 10.21227/bypx-7777
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.5281/zenodo.3836630
title: Mixing ratios and FRFs of ODSs observed in air samples from research aircraft campaigns in 2016 and 2017

description: This data set consists of mixing ratios and fractional release factors of ozone-depleting substances measured in air samples collected during research aircraft campaigns in 2016 and 2017 which were both sampling air masses related to the upper part of the Asian Summer Monsoon and above. These activities were part of the EU Stratoclim-603557 project and a corresponding manuscript has been submitted to the journal JGR Atmospheres. This version also includes the supplement of that manuscript.
DOI: 10.7483/opendata.opera.exw6.c9cy
title: OPERA electron neutrino event 12273018341
DOI: 10.7483/opendata.opera.n3vw.5r3z
title: OPERA electron neutrino event 12162027599
DOI: 10.7483/opendata.opera.nu26.2nwp
title: OPERA electron neutrino event 12196039785
DOI: 10.7483/opendata.opera.vqc2.2l5h
title: OPERA electron neutrino event 226395185
DOI: 10.7483/opendata.opera.w3ih.tq04
title: OPERA electron neutrino event 9177016997
DOI: 10.7483/opendata.opera.xz7o.1vea
title: OPERA electron neutrino event 12092016479
DOI: 10.5281/zenodo.3835696
title: BridgeDb: Human and SARS-related corona virus gene/protein mapping database derived from Wikidata

description: Gene/Protein mappings for human and SARS-related corona viruses. Data is derived from Wikidata. Mappings from Wikidata to NCBI Gene, RefSeq, UniProt and Guide to Pharmacology Target are provided in the .bridge file. 169 Wikidata (Wd) identifiers 70 NCBI Gene (L) identifiers 58 RefSeq (Q) identifiers 59 UniProt (S) identifiers 10 Guide to Pharmacology Target (Gpt) identifiers Virus name was added as attribute ("virus") to Wikidata Xrefs.
description: License: Creative Commons CC0
DOI: 10.7483/opendata.opera.2z2j.sg98
title: OPERA electron neutrino event 9197043461
DOI: 10.7483/opendata.opera.6xii.ab48
title: OPERA electron neutrino event 9290026555
DOI: 10.7483/opendata.opera.838a.phup
title: OPERA electron neutrino event 9263028113
DOI: 10.7483/opendata.opera.r5mw.sefx
title: Emulsion data for neutrino-induced charmed hadron production studies
DOI: 10.7483/opendata.opera.w298.eofi
title: OPERA electron neutrino event 9301040593
DOI: 10.7483/opendata.opera.6dhz.02ai
title: Emulsion data for electron neutrino appearance studies
DOI: 10.7483/opendata.opera.6yx1.bruk
title: Electronic detector data for neutrino-induced charmed hadron production studies
DOI: 10.7483/opendata.opera.elj3.0gou
title: Electronic detector data for electron neutrino appearance studies
DOI: 10.21227/g9g7-qs98
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.5281/zenodo.3834858
title: Proteome Discoverer IR E. coli, D. radiodurans, and H. Sapiens result files

description: File containing all of the Proteome Discoverer result files available with the publication "<strong>Ionizing radiation-induced proteomic oxidation in <em>Escherichia coli."</em></strong>
DOI: 10.5281/zenodo.3834859
title: Proteome Discoverer IR E. coli, D. radiodurans, and H. Sapiens result files

description: File containing all of the Proteome Discoverer result files available with the publication "<strong>Ionizing radiation-induced proteomic oxidation in <em>Escherichia coli."</em></strong>
DOI: 10.5281/zenodo.3836189
title: Bayesian evaluation of the mass calibration example from EA 4/02

description: The example describes how the measurement uncertainty of the calibration of a 10 kg weight can be performed using Bayes’ rule and a measurement model. The purpose of the example is to demonstrate how Bayes’ rule can be implemented in the context of the Guide to the expression of Uncertainty in Measurement and the uncertainty can be propagated. Special attention is paid to the assignment of probability density functions of type A and type B evaluations of standard uncertainty. The files contained in the dataset are: Readme.txt: instructions on how to install and run the project Mass_example_EA_4_02.pdf: Report "Bayesian evaluation of the mass calibration example from EA 4/02" Compendium.bib: bibliography file Mass_example_EA_4_02_Article.Rproj: RStudio project file Mass_example_EA_4_02.Rnw: source file to generate Mass_example_EA_4_02.tex in RStudio Mass_example_EA_4_02.bbl: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.log: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.synctex.gz: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.tex: LaTeX file to be compiled in order to produce Mass_example_EA_4_02.pdf Mass_example_EA_4_02-concordance.tex: file generated by RStudio when compiling Mass_example_EA_4_02.Rnw.
description: This example was produced in the frame of the EMPIR project 17NRM05 Examples for evaluating measurement uncertainty.
DOI: 10.5281/zenodo.3836190
title: Bayesian evaluation of the mass calibration example from EA 4/02

description: The example describes how the measurement uncertainty of the calibration of a 10 kg weight can be performed using Bayes’ rule and a measurement model. The purpose of the example is to demonstrate how Bayes’ rule can be implemented in the context of the Guide to the expression of Uncertainty in Measurement and the uncertainty can be propagated. Special attention is paid to the assignment of probability density functions of type A and type B evaluations of standard uncertainty. The files contained in the dataset are: Readme.txt: instructions on how to install and run the project Mass_example_EA_4_02.pdf: Report "Bayesian evaluation of the mass calibration example from EA 4/02" Compendium.bib: bibliography file Mass_example_EA_4_02_Article.Rproj: RStudio project file Mass_example_EA_4_02.Rnw: source file to generate Mass_example_EA_4_02.tex in RStudio Mass_example_EA_4_02.bbl: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.log: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.synctex.gz: file generated when compiling Mass_example_EA_4_02.tex Mass_example_EA_4_02.tex: LaTeX file to be compiled in order to produce Mass_example_EA_4_02.pdf Mass_example_EA_4_02-concordance.tex: file generated by RStudio when compiling Mass_example_EA_4_02.Rnw.
description: This example was produced in the frame of the EMPIR project 17NRM05 Examples for evaluating measurement uncertainty.
DOI: 10.21227/b9rm-c204
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.21227/q54p-ks40
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 100+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data) if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.21227/xbjd-3c71
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.25386/genetics.12245753
title: Supplemental Material for Feke et al., 2020

description: Figure S1 contains the results of our anthesis decoy screen.<br>Figure S2 contains the results of our stem elongation decoy screen.<br>Figure S3 contains the control data from our leaf number, bolting age, anthesis, and stem elongation decoy screens.<br>Figure S4 contains the expression of <i>PUB14 </i>in the <i>pub14-1</i> mutant.<br>Figure S5 contains the anthesis and stem elongation data from the <i>pub14-1 </i>mutant.<br>Figure S6 contains the anthesis and stem elongation data from the <i>mac3a</i>, <i>mac3b</i>, and <i>mac3a/mac3b </i>mutants.Figure S7 contains the anthesis and stem elongation data from the MAC3B-OX, MAC3B-decoy, and MAC3B-WD overexpressing plants.<br>Table S1 contains the source data for figures 1-2 and S1-S3.Table S2 contains the full IP/MS results from the PUB14 decoy.
DOI: 10.25386/genetics.12245753.v1
title: Supplemental Material for Feke et al., 2020

description: Figure S1 contains the results of our anthesis decoy screen.<br>Figure S2 contains the results of our stem elongation decoy screen.<br>Figure S3 contains the control data from our leaf number, bolting age, anthesis, and stem elongation decoy screens.<br>Figure S4 contains the expression of <i>PUB14 </i>in the <i>pub14-1</i> mutant.<br>Figure S5 contains the anthesis and stem elongation data from the <i>pub14-1 </i>mutant.<br>Figure S6 contains the anthesis and stem elongation data from the <i>mac3a</i>, <i>mac3b</i>, and <i>mac3a/mac3b </i>mutants.Figure S7 contains the anthesis and stem elongation data from the MAC3B-OX, MAC3B-decoy, and MAC3B-WD overexpressing plants.<br>Table S1 contains the source data for figures 1-2 and S1-S3.Table S2 contains the full IP/MS results from the PUB14 decoy.
DOI: 10.15161/oar.it/23676
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6073/pasta/1be2fb27c20b3893d73f23f9e45729d5
title: Eight Mile Lake Research Watershed: hourly meteorological data, 2004-2019

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set provides annual meterological data.
DOI: 10.15468/ta9pwu
title: Nemapogon helveticola sp. nov. aus der Schweiz (Lepidoptera, Tineidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gaedike, Reinhard, Bryner, Rudolf (2020): Nemapogon helveticola sp. nov. aus der Schweiz (Lepidoptera, Tineidae). Alpine Entomology 4: 73-79, DOI: http://dx.doi.org/10.3897/alpento.4.51727, URL: http://dx.doi.org/10.3897/alpento.4.51727
DOI: 10.15468/4c2jzj
title: A new genus for Pericera septemspinosa Stimpson, 1871 and Pericera heptacantha Bell, 1836 (Crustacea, Brachyura, Majoidea), based on morphology and molecular data

description: This dataset contains the digitized treatments in Plazi based on the original journal article Colavite, Jessica, Windsor, Amanda M., Santana, William (2020): A new genus for Pericera septemspinosa Stimpson, 1871 and Pericera heptacantha Bell, 1836 (Crustacea, Brachyura, Majoidea), based on morphology and molecular data. Zoosystematics and Evolution 96 (1): 205-216, DOI: http://dx.doi.org/10.3897/zse.96.50360, URL: http://dx.doi.org/10.3897/zse.96.50360
DOI: 10.15468/mcfu65
title: Rediscovery of four narrow endemic Didymocarpus species (Gesneriaceae) from Mizoram, India, with revised species descriptions and lectotypifications

description: This dataset contains the digitized treatments in Plazi based on the original journal article Prasanna, Naibi Shrungeshwara, Gowda, Vinita (2020): Rediscovery of four narrow endemic Didymocarpus species (Gesneriaceae) from Mizoram, India, with revised species descriptions and lectotypifications. PhytoKeys 148: 1-19, DOI: http://dx.doi.org/10.3897/phytokeys.148.49772, URL: http://dx.doi.org/10.3897/phytokeys.148.49772
DOI: 10.21227/9jht-5y38
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
DOI: 10.21227/d3z5-n231
title: Environment Recognition Dataset

description: This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.