cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh278860.07fu
title: SH278860.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh278861.07fu
title: SH278861.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh278862.07fu
title: SH278862.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh278863.07fu
title: SH278863.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh278864.07fu
title: SH278864.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.7910/dvn/n1klnv/1akvxe
title: pencils.tsv
DOI: 10.7910/dvn/n1klnv/aimumg
title: excessive.tsv
DOI: 10.5281/zenodo.2669179
title: DL-FRONT MERRA-2 vectorized weather fronts over North America, 1980-2018 (JSON format)

description: DL-FRONT is a Deep Learning Neural Network (DLNN) that was trained to detect weather fronts using spatial grids of near-surface atmospheric variables. The dataset is composed of hourly JSON files containing geospatial vector polylines describing the locations of four types of weather fronts—cold front, warm front, stationary front, and occluded front, over the time span 1980-2018.

This dataset is the product of processing data from the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). DL-FRONT processed MERRA-2 hourly data grids of instantaneous measures of air pressure reduced to mean sea level, air temperature at 2 meters, specific humidity at 2 meters, and wind velocity at 10 meters over the time span 1980 - 2018 to produce this dataset. The original MERRA-2 data were resampled at 1 degree resolution over the spatial range 31W - 171W x 10N - 77N using bicubic interpolation.

At each hourly time step the network produced a set of spatial grids with the same resolution and spatial range as the input, one for each of the five categories mentioned above. Each cell in a spatial grid for a given category records the network-assigned probability (from 0.0 to 1.0) that the cell is in a weather front boundary region of that category (or, for the "no front" category, the probability that the cell is not in any weather front boundary region).

Each probability map was then processed to obtain polyline skeletons of the weather front boundary regions found by DL-FRONT. These vector representations of the fronts were then written to JSON files—one file for each hour. Each JSON file contains one top-level object composed of name/value pairs with the names issuanceDate, validDate, ColdFronts, WarmFronts, OccludedFronts, and StationaryFronts. The name/value pairs for createDate and validDate are always present. The other name/value pairs are only present if there is corresponding data. The values for issuanceDate and validDate are UTC timestamp strings.

The ColdFronts, WarmFronts, StationaryFronts, and OccludedFronts names in the top-level object, when present, have values that are arrays. In each case, the array is composed of one or more objects. Each object represents a front of the given type. Each object is composed of five name/value pairs with the names lats, lons, cols, rows, and confidence. The value for the name confidence is a number that is the average of the values of the probability map cells intersected by the front polyline. The values associated with the names lats, lons, cols, and rows are arrays. These arrays represent the vertices of a polyline describing the location of a frontal boundary in both geospatial and grid cell coordinates.
description: {"references": ["The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Ronald Gelaro, et al., 2017, J. Clim., doi: 10.1175/JCLI-D-16-0758."]}
DOI: 10.5281/zenodo.2669180
title: DL-FRONT MERRA-2 vectorized weather fronts over North America, 1980-2018 (JSON format)

description: DL-FRONT is a Deep Learning Neural Network (DLNN) that was trained to detect weather fronts using spatial grids of near-surface atmospheric variables. The dataset is composed of hourly JSON files containing geospatial vector polylines describing the locations of four types of weather fronts—cold front, warm front, stationary front, and occluded front, over the time span 1980-2018.

This dataset is the product of processing data from the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). DL-FRONT processed MERRA-2 hourly data grids of instantaneous measures of air pressure reduced to mean sea level, air temperature at 2 meters, specific humidity at 2 meters, and wind velocity at 10 meters over the time span 1980 - 2018 to produce this dataset. The original MERRA-2 data were resampled at 1 degree resolution over the spatial range 31W - 171W x 10N - 77N using bicubic interpolation.

At each hourly time step the network produced a set of spatial grids with the same resolution and spatial range as the input, one for each of the five categories mentioned above. Each cell in a spatial grid for a given category records the network-assigned probability (from 0.0 to 1.0) that the cell is in a weather front boundary region of that category (or, for the "no front" category, the probability that the cell is not in any weather front boundary region).

Each probability map was then processed to obtain polyline skeletons of the weather front boundary regions found by DL-FRONT. These vector representations of the fronts were then written to JSON files—one file for each hour. Each JSON file contains one top-level object composed of name/value pairs with the names issuanceDate, validDate, ColdFronts, WarmFronts, OccludedFronts, and StationaryFronts. The name/value pairs for createDate and validDate are always present. The other name/value pairs are only present if there is corresponding data. The values for issuanceDate and validDate are UTC timestamp strings.

The ColdFronts, WarmFronts, StationaryFronts, and OccludedFronts names in the top-level object, when present, have values that are arrays. In each case, the array is composed of one or more objects. Each object represents a front of the given type. Each object is composed of five name/value pairs with the names lats, lons, cols, rows, and confidence. The value for the name confidence is a number that is the average of the values of the probability map cells intersected by the front polyline. The values associated with the names lats, lons, cols, and rows are arrays. These arrays represent the vertices of a polyline describing the location of a frontal boundary in both geospatial and grid cell coordinates.
description: {"references": ["The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Ronald Gelaro, et al., 2017, J. Clim., doi: 10.1175/JCLI-D-16-0758."]}
DOI: 10.7910/dvn/n1klnv/ckjdky
title: compatriot.wav
DOI: 10.7910/dvn/n1klnv/dwmk6t
title: summit.tsv
DOI: 10.7910/dvn/n1klnv/big4yq
title: mayorial.tsv
DOI: 10.7910/dvn/n1klnv/gyvydt
title: subservience.tsv
DOI: 10.7910/dvn/n1klnv/g8qo2t
title: compilation.wav
DOI: 10.7910/dvn/n1klnv/h1wqbx
title: soups.wav
DOI: 10.7910/dvn/n1klnv/p8tsvy
title: homonym.wav
DOI: 10.5281/zenodo.2713750
title: Skeleton Test Suite and PRONOM Archive v95

description: <strong>PRONOM Skeleton Suite V95</strong>

Also available via Github.
DOI: 10.5281/zenodo.2713751
title: Skeleton Test Suite and PRONOM Archive v95

description: <strong>PRONOM Skeleton Suite V95</strong>

Also available via Github.
DOI: 10.7910/dvn/n1klnv/hekoag
title: epidemics.tsv
DOI: 10.7910/dvn/n1klnv/umsd8w
title: kisser.tsv
DOI: 10.7910/dvn/n1klnv/wzxeih
title: killer.wav
DOI: 10.7910/dvn/n1klnv/xah76k
title: invigoration.tsv
DOI: 10.7910/dvn/n1klnv/c8gmz3
title: nun.wav
DOI: 10.7910/dvn/n1klnv/kfla73
title: malted.tsv
DOI: 10.7910/dvn/n1klnv/v811s6
title: scotsman.tsv
DOI: 10.7910/dvn/n1klnv/gdq7wg
title: mercers.wav
DOI: 10.7910/dvn/n1klnv/jd0xpu
title: unrepentant.wav
DOI: 10.7910/dvn/n1klnv/w7nxyo
title: insincere.tsv
DOI: 10.7910/dvn/n1klnv/4fgc6z
title: nun.tsv
DOI: 10.7910/dvn/n1klnv/mbatsd
title: frilly.tsv
DOI: 10.7910/dvn/n1klnv/u9gxwh
title: anova.tsv
DOI: 10.7910/dvn/n1klnv/75ew5y
title: adjustable.tsv
DOI: 10.7910/dvn/n1klnv/egmwmv
title: tie.tsv
DOI: 10.7910/dvn/n1klnv/to4ihr
title: confessions.wav
DOI: 10.7910/dvn/n1klnv/whi4t4
title: nutritive.wav
DOI: 10.7910/dvn/n1klnv/anpgn6
title: suppression.tsv
DOI: 10.7910/dvn/n1klnv/by2qi1
title: striking.wav
DOI: 10.7910/dvn/n1klnv/jb6ofr
title: amnesty.wav
DOI: 10.7910/dvn/n1klnv/lcgfdl
title: predisposed.wav
DOI: 10.7910/dvn/n1klnv/8gjr2r
title: throne.tsv
DOI: 10.7910/dvn/n1klnv/rhehmr
title: bid.tsv
DOI: 10.7910/dvn/n1klnv/wd3u7u
title: pistols.wav
DOI: 10.7910/dvn/n1klnv/z5z9kl
title: dragging.wav
DOI: 10.7910/dvn/n1klnv/zcwttk
title: rededicate.tsv
DOI: 10.7910/dvn/w2cxvu/7tqgsz
title: read me.docx

description: :unav
DOI: 10.7910/dvn/n1klnv/10cq3f
title: timpani.wav
DOI: 10.7910/dvn/n1klnv/1caej2
title: excel.tsv
DOI: 10.7910/dvn/n1klnv/ijfoas
title: evil.wav
DOI: 10.7910/dvn/n1klnv/qnzoj7
title: bourbons.tsv
DOI: 10.7910/dvn/n1klnv/ufxzzg
title: companionship.tsv
DOI: 10.7910/dvn/n1klnv/vsdvec
title: investigates.tsv
DOI: 10.7910/dvn/n1klnv/f32yzu
title: chickenpox.wav
DOI: 10.7910/dvn/n1klnv/nlkg5o
title: tickled.tsv
DOI: 10.7910/dvn/n1klnv/ogcgtm
title: carpets.wav
DOI: 10.7910/dvn/n1klnv/zrzvzq
title: receipts.wav
DOI: 10.7910/dvn/n1klnv/dif2pt
title: judges.tsv
DOI: 10.7910/dvn/n1klnv/lblcra
title: mannered.wav
DOI: 10.7910/dvn/n1klnv/ntxu9r
title: swaddle.wav
DOI: 10.7910/dvn/n1klnv/oi7bh4
title: assumes.tsv
DOI: 10.7910/dvn/n1klnv/rixqif
title: adept.wav
DOI: 10.7910/dvn/n1klnv/xsf930
title: recharge_v.wav
DOI: 10.7910/dvn/n1klnv/gqhy5k
title: cleverly.tsv
DOI: 10.7910/dvn/n1klnv/hob6iw
title: robbers.tsv
DOI: 10.7910/dvn/n1klnv/pnrhib
title: utterly.wav
DOI: 10.7910/dvn/n1klnv/v8wkbd
title: obedient.wav
DOI: 10.7910/dvn/n1klnv/743kjt
title: famous.wav
DOI: 10.7910/dvn/n1klnv/sgm00h
title: seeded.tsv
DOI: 10.7910/dvn/n1klnv/togrgp
title: yard.tsv
DOI: 10.7910/dvn/n1klnv/vk7si3
title: notion.wav
DOI: 10.7910/dvn/n1klnv/z7ihrp
title: intentionally.tsv
DOI: 10.7910/dvn/n1klnv/b98e9s
title: suppression.wav
DOI: 10.7910/dvn/n1klnv/bpijup
title: bandanna.tsv
DOI: 10.7910/dvn/n1klnv/empdpj
title: excitement.tsv
DOI: 10.7910/dvn/n1klnv/ldxfty
title: lounge.wav
DOI: 10.7910/dvn/n1klnv/lilzbu
title: preparation.tsv
DOI: 10.7910/dvn/n1klnv/9qmwj9
title: discretionary.wav
DOI: 10.7910/dvn/n1klnv/ft3n4a
title: newspaper.tsv
DOI: 10.7910/dvn/n1klnv/k54xjr
title: dissatisfaction.tsv
DOI: 10.7910/dvn/n1klnv/t0ij6o
title: confessed.wav
DOI: 10.7910/dvn/n1klnv/v6nfs3
title: spangled.wav
DOI: 10.7910/dvn/n1klnv/wbhiqd
title: iranians_1.tsv
DOI: 10.7910/dvn/n1klnv/a1mcdc
title: throne.wav
DOI: 10.7910/dvn/n1klnv/frgecj
title: musky.tsv
DOI: 10.7910/dvn/n1klnv/mxnpwm
title: defacing.tsv
DOI: 10.7910/dvn/n1klnv/rypivc
title: peased.wav
DOI: 10.7910/dvn/n1klnv/stivhh
title: recharge_v.tsv
DOI: 10.7910/dvn/n1klnv/u46ww4
title: crowd.tsv
DOI: 10.7910/dvn/n1klnv/3x5xf8
title: approaching.tsv
DOI: 10.7910/dvn/n1klnv/is0r53
title: hands.tsv
DOI: 10.7910/dvn/n1klnv/ksa0qo
title: planners.wav
DOI: 10.7910/dvn/n1klnv/sddebv
title: wreckage.tsv
DOI: 10.7910/dvn/n1klnv/sexxgp
title: racking.tsv
DOI: 10.7910/dvn/n1klnv/swntkf
title: renunciations.tsv
DOI: 10.7910/dvn/xzxaup/awcnqi
title: ACS_1216_BLKGRP.tab

description: 2012 - 2016 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/bihlgd
title: ACS_0711_TRACT.tab

description: 2007 - 2011 ACS Tract Indicators
DOI: 10.7910/dvn/xzxaup/nfba1w
title: ACS_1317_TRACT.tab

description: 2013 - 2017 ACS Tract Indicators
DOI: 10.3886/icpsr37315.v1
title: Can Looks Deceive You? Attractive Decoys Mitigate Beauty is Beastly Bias Against Women
title: Version 1

description: Applicant attractiveness is usually beneficial in employee selection. However, under some circumstances, female applicant attractiveness can be detrimental, demonstrating a subtle form of gender bias. Little research has explored factors that accentuate or attenuate negative evaluations of attractive female job candidates (the beauty is beastly effect). In a series of studies, we find that the presence of a second attractive decoy job candidate in the hiring pool decreased the beauty is beastly effect. Mediation analysis suggests that the dominance heuristic explains the effect. The findings shed light on the beauty is beastly effect, the importance of context, and gender bias.
description: Datasets:
					
						DS1: Dataset
DOI: 10.7910/dvn/n1klnv/c7iumi
title: femur.wav
DOI: 10.7910/dvn/n1klnv/up9r33
title: appreciate.tsv
DOI: 10.7910/dvn/n1klnv/vozppu
title: wondrous.tsv
DOI: 10.7910/dvn/n1klnv/yvtzkz
title: swaddle.tsv
DOI: 10.7910/dvn/n1klnv/zuu29n
title: skate.wav
DOI: 10.7910/dvn/xzxaup/eryrbh
title: ACS_0812_BLKGRP.tab

description: 2008 - 2012 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/glw89c
title: ACS_1115_BLKGRP.tab

description: 2011 - 2015 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/qeyefq
title: ACS_1014_BLKGRP.tab

description: 2010 - 2014 ACS Block Group Indicators
DOI: 10.7910/dvn/n1klnv/1fw5rt
title: repressed.tsv
DOI: 10.7910/dvn/n1klnv/qja63t
title: upstairs.tsv
DOI: 10.7910/dvn/n1klnv/ugylnf
title: defacing.wav
DOI: 10.7910/dvn/xzxaup/7abov6
title: DEC_CENSUS_2010_BLK.tab

description: 2010 Decennial Census Indicators at the Block level.
DOI: 10.7910/dvn/xzxaup/bqie0x
title: DEC_CENSUS_2010_BLKGRP.tab

description: 2010 Decennial Census Indicators at the Block group level.
DOI: 10.7910/dvn/xzxaup/qpcx5x
title: ACS_0610_BLKGRP.tab

description: 2006 - 2010 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/txxojw
title: ACS_1317_BLKGRP.tab

description: 2013 - 2017 ACS Block Group Indicators
DOI: 10.7910/dvn/n1klnv/aq6ajk
title: greatness.tsv
DOI: 10.7910/dvn/n1klnv/ectwea
title: folders.wav
DOI: 10.7910/dvn/n1klnv/eoon3z
title: humiliated.wav
DOI: 10.7910/dvn/n1klnv/pngpjt
title: portions.wav
DOI: 10.7910/dvn/n1klnv/sxhmuc
title: kisser.wav
DOI: 10.7910/dvn/xzxaup/ha1fsp
title: ACS_0913_BLKGRP.tab

description: 2009 - 2013 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/szplkr
title: ACS_0913_TRACT.tab

description: 2009 - 2013 ACS Tract Indicators
DOI: 10.7910/dvn/n1klnv/dgucws
title: retreat.wav
DOI: 10.7910/dvn/n1klnv/f90k62
title: displacing.wav
DOI: 10.7910/dvn/n1klnv/lp5z8x
title: toured.wav
DOI: 10.7910/dvn/n1klnv/o6oj40
title: barracks.wav
DOI: 10.7910/dvn/n1klnv/oqdc1n
title: planted.wav
DOI: 10.7910/dvn/n1klnv/zb7kyu
title: unheard.tsv
DOI: 10.7910/dvn/xzxaup/7zf5wk
title: ACS_0711_BLKGRP.tab

description: 2007 - 2011 ACS Block Group Indicators
DOI: 10.7910/dvn/xzxaup/erembu
title: ACS_1014_TRACT.tab

description: 2010 - 2014 ACS Tract Indicators
DOI: 10.7910/dvn/xzxaup/puoqll
title: DEC_CENSUS_2010_TRACT.tab

description: 2010 Decennial Census Indicators at the Tract level.
DOI: 10.7910/dvn/xzxaup/usdcfa
title: ACS_1115_TRACT.tab

description: 2011 - 2015 ACS Tract Indicators
DOI: 10.17632/435f68r4dy.1
title: Data for: Rational design of HSNs/VO2 bilayer coatings with optimized optical performances and mechanical robustness for smart windows
DOI: 10.7910/dvn/n1klnv/3o63m8
title: spangled.tsv
DOI: 10.7910/dvn/n1klnv/jly87n
title: snuck.tsv
DOI: 10.7910/dvn/n1klnv/ksalqj
title: drifted.wav
DOI: 10.7910/dvn/n1klnv/kterix
title: married.wav
DOI: 10.7910/dvn/n1klnv/u0czq6
title: swoops.wav
DOI: 10.7910/dvn/xzxaup/01z2mv
title: ACS_1216_TRACT.tab

description: 2012 - 2016 ACS Tract Indicators
DOI: 10.7910/dvn/xzxaup/6licns
title: ACS_0610_TRACT.tab

description: 2006 - 2010 ACS Tract Indicators
DOI: 10.7910/dvn/xzxaup/lp066d
title: ACS_0509_TRACT.tab

description: 2005 - 2009 ACS Tract Indicators
DOI: 10.7910/dvn/n1klnv/ulxvvr
title: stretch.wav
DOI: 10.7910/dvn/n1klnv/y7lfd1
title: glucose.wav
DOI: 10.7910/dvn/xzxaup/em4zw0
title: ACS_0812_TRACT.tab

description: 2008 - 2012 ACS Tract Indicators
DOI: 10.7910/dvn/iaelbg/67bg2f
title: Extended Data.docx

description: Extended Data:
Table 1: Prevalence (%) of self-reported disability in each domain (defined as "a lot of difficulty" or "can't do at all") at Round 1, by age group
Table 2: Logistic regression analysis of the association between BMI, hypertension, diabetes, and HIV infection with self-reported disability in different domains* at Round 1
Table 3: Self-reported disability status at Round 2, according to their status at Round 1, for each disability domain stratified by age group
DOI: 10.7910/dvn/n1klnv/ax1udn
title: browns.wav
DOI: 10.7910/dvn/n1klnv/gzddjv
title: mouse.wav
DOI: 10.7910/dvn/n1klnv/ih8rbk
title: detainees.wav
DOI: 10.7910/dvn/n1klnv/ugopzs
title: supposedly.wav
DOI: 10.7910/dvn/n1klnv/zrc8lj
title: serviceable.wav
DOI: 10.17632/fsz5zpkvh6.1
title: Data for: Green Closed-Loop Supply Chain Network Design under Uncertainty

description: Raw Date of Input Parameters
DOI: 10.7910/dvn/n1klnv/awccy4
title: presentations.tsv
DOI: 10.7910/dvn/n1klnv/hksjkx
title: companionship.wav
DOI: 10.7910/dvn/n1klnv/ilyegd
title: eccentricities_2.tsv
DOI: 10.7910/dvn/n1klnv/qs8dfn
title: spectacular.tsv
DOI: 10.7910/dvn/n1klnv/dmgtvi
title: curricular.tsv
DOI: 10.7910/dvn/n1klnv/etiikj
title: dysfunctional.tsv
DOI: 10.7910/dvn/n1klnv/gneam2
title: paradoxically.wav
DOI: 10.7910/dvn/n1klnv/iso1do
title: rededicate.wav
DOI: 10.7910/dvn/n1klnv/mfepko
title: relied.tsv
DOI: 10.7910/dvn/n1klnv/moeiqt
title: organizer.tsv
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