cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/c9xwrd
title: Replication Data for: Natural variation in snow depth and snow melt timing in the High Arctic have implications for soil and plant nutrient status and vegetation composition

description: Data used for Moriana-Armendariz et al. 2022- Natural variation in snow depth and snow melt timing in the High Arctic have implications for soil and plant nutrient status and vegetation composition

Snow cover is a key component in Arctic ecosystems and will likely be affected by changes in winter precipitation. Increased snow depth and consequent later snowmelt leads to greater microbial mineralization in winter, improving soil and vegetation nutrient status.
We studied areas with naturally differing snow depths and date of snowmelt in Adventdalen, Svalbard. Soil properties, plant leaf nutrient status and species composition along with vegetation indices (NDVI) were compared for three snowmelt regimes (Early, Mid and Late).
We showed: 1) Late regimes (snow beds) had wetter soils, higher pH and leaves of Bistorta vivipara and Salix polaris had higher concentration of nutrients (nitrogen and d15N). Little to no difference was found in soil nutrient concentrations between snowmelt regimes. 2) Late regimes had highest NDVI values, while those of Early and Mid regimes were similar. 3) Vegetation composition differed between Early and Late regimes, with Dryas octopetala and Luzula arcuata subsp. confusa characterizing the former and Equisetum arvense and Eriophorum scheuchzeri the latter. 4) Trends for plant nutrient contents were similar to those found in a nearby snow manipulation experiment. Snow distribution and time of snowmelt played an important role in determining regional environmental heterogeneity, patchiness in plant community distribution, their species composition and plant phenology.
description: SNOECO
description: R, 4.1.2
DOI: 10.18710/nzxkew/xklhxf
title: 2016-09-26_spawning_ground_3_afternoon_cam_6_file_03.MP4
DOI: 10.18710/whixso/6tksqg
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_14.MP4
DOI: 10.18710/3x0pr8/hyfsvw
title: 2016-09-26_spawning_ground_3_morning_cam_3_file_02.MP4
DOI: 10.18710/7jwazx/bwn4pp
title: RandomSample_trainingset.zip

description: Training set data for the full count 1950 Norwegian census
DOI: 10.18710/7wrxy9/r95epn
title: 2016-09-27_spawning_ground_3_morning_cam_3_file_09.MP4
DOI: 10.18710/8ikveu/qwwce3
title: Dt13.csv

description: transactions information for May-21
DOI: 10.18710/azt6uy/020i7k
title: PLAG053-ASCII.stl
DOI: 10.18710/azt6uy/4nl1to
title: PLAG181-binary.stl
DOI: 10.18710/azt6uy/5ate1k
title: PLAG003-binary.stl
DOI: 10.18710/azt6uy/60fyd9
title: PLAG009-ASCII.stl
DOI: 10.18710/azt6uy/7hxwa2
title: OPX053-binary.stl
DOI: 10.18710/azt6uy/8qevia
title: PLAG176-ASCII.stl
DOI: 10.18710/azt6uy/b3ofrh
title: PLAG041-binary.stl
DOI: 10.18710/azt6uy/bg6jta
title: OPX017-ASCII.stl
DOI: 10.18710/azt6uy/cd32hx
title: PLAG037-ASCII.stl
DOI: 10.18710/azt6uy/cvkrmg
title: PLAG246-binary.stl
DOI: 10.18710/azt6uy/cvlopm
title: PLAG082-binary.stl
DOI: 10.18710/azt6uy/fij0uw
title: PLAG170-binary.stl
DOI: 10.18710/azt6uy/fv9el8
title: OPX006-ASCII.stl
DOI: 10.18710/azt6uy/fwey5j
title: PLAG185-ASCII.stl
DOI: 10.18710/azt6uy/k8qby6
title: PLAG101-ASCII.stl
DOI: 10.18710/azt6uy/knsdic
title: OPX056-ASCII.stl
DOI: 10.18710/azt6uy/ly6i0d
title: OPX032-ASCII.stl
DOI: 10.18710/azt6uy/maoqx0
title: OPX027-binary.stl
DOI: 10.18710/azt6uy/mwttdh
title: PLAG028-ASCII.stl
DOI: 10.18710/azt6uy/o1u8dy
title: PLAG178-binary.stl
DOI: 10.18710/azt6uy/q6o3ae
title: PLAG063-binary.stl
DOI: 10.18710/azt6uy/qpxsat
title: PLAG012-ASCII.stl
DOI: 10.18710/azt6uy/t4p0sg
title: PLAG060-binary.stl
DOI: 10.18710/azt6uy/t6omlh
title: OPX019-ASCII.stl
DOI: 10.18710/azt6uy/wwxorc
title: PLAG168-binary.stl
DOI: 10.18710/azt6uy/zzgh8l
title: OPX051-ASCII.stl
DOI: 10.18710/dhachz
title: Data on dimensional and geometric accuracy for laser-based powder bed fusion of PA12 (PA2200)
title: Raw data from an experiment designed to investigate the effect of part build orientation and location

description: This dataset contains measurements of dimensional- and geometric accuracy in laser-based powder bed fusion, with relevant background data. The experiment was conducted to investigate the effect of part build orientation on the dimensional- and geometric accuracy. The experiment was conducted at NTNU in Gjøvik where 135 specimens were produced over 3 builds alongside 372 additional parts not included in the main study. An elaborate build layout was designed to enable analysis of part position as well as orientation in the build chamber. An EOSINT P395 machine was used with a 50/50 blend of virgin and recycled PA12 polymer powder (PA2200 provided by EOS). The specimens were measured in a Zeiss Duramax coordinate measuring machine for minimum measurement error.
description: Zeiss Calypso, 6.6.1601
DOI: 10.18710/ha3x4c/ondret
title: 2016-09-26_spawning_ground_3_morning_cam_4_file_02.MP4
DOI: 10.18710/hs8qah/iaxwv8
title: 00_README_file.txt
DOI: 10.18710/jj3ebo/b8ihoy
title: 2016-09-26_spawning_ground_3_afternoon_cam_1_file_03.MP4
DOI: 10.18710/jj3ebo/mh8ucs
title: 2016-09-26_spawning_ground_3_afternoon_cam_1_file_01.MP4
DOI: 10.18710/ltpxrs/eonjvx
title: 2016-09-26_spawning_ground_3_morning_cam_2_file_09.MP4
DOI: 10.18710/ltpxrs/nibsky
title: 2016-09-26_spawning_ground_3_morning_cam_2_file_01.MP4
DOI: 10.18710/ltpxrs/nuci17
title: 2016-09-26_spawning_ground_3_morning_cam_2_file_11.MP4
DOI: 10.18710/oflznp/cjnh4j
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_14.MP4
DOI: 10.18710/pvvykl/6fpbyo
title: 2016-09-26_spawning_ground_3_morning_cam_8_file_04.MP4
DOI: 10.18710/rbcb8f/os0kgt
title: 2016-09-24_spawning_ground_3_afternoon_cam_6_file_06.MP4
DOI: 10.18710/7wrxy9/dl4rw3
title: 2016-09-27_spawning_ground_3_morning_cam_3_file_10.MP4
DOI: 10.18710/7wrxy9/meywid
title: 2016-09-27_spawning_ground_3_morning_cam_3_file_14.MP4
DOI: 10.18710/ksubim/hetnhu
title: 2016-09-24_spawning_ground_3_evening_cam_8_file_06.MP4
DOI: 10.18710/n130gr/ngxwxm
title: 2016-09-27_spawning_ground_3_morning_cam_5_file_07.MP4
DOI: 10.18710/7wrxy9/kct2u0
title: 2016-09-27_spawning_ground_3_morning_cam_3_file_04.MP4
DOI: 10.18710/azt6uy/cvu6hk
title: PLAG011-ASCII.stl
DOI: 10.18710/azt6uy/gz7ics
title: PLAG086-ASCII.stl
DOI: 10.18710/azt6uy/xcohmb
title: PLAG161-binary.stl
DOI: 10.18710/lp3ymq/l4fc7f
title: Supplement_S2.jpg

description: High-resolution version of Supplement S2.
DOI: 10.18710/lp3ymq/yicf4q
title: Figure_2.jpg

description: High-resolution version of Figure 2.
DOI: 10.18710/oflznp/4mt0s3
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_03.MP4
DOI: 10.18710/oflznp/zjfemc
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_17.MP4
DOI: 10.18710/rbcb8f/sqky0z
title: 2016-09-24_spawning_ground_3_afternoon_cam_6_file_07.MP4
DOI: 10.18710/vttnxm/t0imjl
title: ID9.txt
DOI: 10.18710/whixso/j34x1m
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_13.MP4
DOI: 10.18710/whixso/r7mly2
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_03.MP4
DOI: 10.18710/whixso/s2y9rg
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_02.MP4
DOI: 10.18710/06hsda/8lfjfk
title: 317_EL_DEMAND_YCR_DH.tab
DOI: 10.18710/6zwc9z
title: Replication data for Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research

description: This dataset contains a list of 423 consumer-based wrist-worn activity trackers and smart watches, capable of collecting and estimating physical activity levels in individuals, using accelerometer and other sensors. 
Data were collected by automatic and manual searches through six online and offline databases, as well as manual collecting of data from company web sites. Data were collected in 2017, and contains all identified devices released between 2011 (earliest identified device) and July 2017. For each device, 12 attributes are included. See list in the ReadMe file.
DOI: 10.18710/7wrxy9/tpkkab
title: 2016-09-27_spawning_ground_3_morning_cam_3_file_06.MP4
DOI: 10.18710/8ee2js
title: Replication Data for: The potential for cleaner fish driven evolution in the salmon louse Lepeophtheirus salmonis: genetic or environmental control of pigmentation?

description: The datasets consist of two files with data from two different experiments.
Experiment 1: compares pigmentation of lice cultivated indoor and outdoors in two experiments, one in June and one in September 2008. Photos are taken using translucent light and pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse. Each louse was also given a subjective pigment score: 1= little pigmentation, 2=medium pigmentation, 3= heavily pigmented.
Experiment 2: Salmon lice with little pigmentation from Trøndelag was cultivated in an outdoor tank to see whether they developed dark pigmentation when exposed to daylight and sunshine. An old laboratory strain (LsOslofjord) was cultivated in a neighboring tank to compare pigmentation between the two strains. Pigmentation was measured as in experiment 1
description: Abstract:
The parasitic salmon louse represents one of the biggest challenges to environmentally sustainable salmonid aquaculture across the globe. This species also displays a high evolutionary potential, as demonstrated by its rapid development of resistance to delousing chemicals. In response, farms now use a range of non-chemical delousing methods, including cleaner fish that eat lice from salmon. Anecdotal reports suggest that in regions where cleaner fish are extensively used on farms, lice have begun to appear less pigmented and therefore putatively less visible to cleaner fish. However, it remains an open question whether these observations reflect a plastic (environmental) or adaptive (genetic) response. To investigate this, we developed a pigment scoring system and conducted complimentary experiments which collectively demonstrate that, a) louse pigmentation is strongly influenced by environmental conditions, most likely light, and b) the presence of modest but significant differences in pigmentation between two strains of lice reared under identical conditions. Based on these data, we conclude that pigmentation in the salmon louse is strongly influenced by environmental conditions, yet there are also indications of underlying genetic control. Therefore, lice could display both plastic and adaptive responses to extensive cleaner fish usage where visual appearance is likely to influence survival of lice.
description: ImageJ
DOI: 10.18710/aw5ie6/2yt5rd
title: 2016-09-24_spawning_ground_3_afternoon_cam_7_file_03.MP4
DOI: 10.18710/aw5ie6/uaydy3
title: 2016-09-24_spawning_ground_3_afternoon_cam_7_file_05.MP4
DOI: 10.18710/azt6uy/2l6klv
title: OPX069-binary.stl
DOI: 10.18710/azt6uy/9kuihw
title: OPX073-ASCII.stl
DOI: 10.18710/azt6uy/9zcgyp
title: PLAG078-binary.stl
DOI: 10.18710/azt6uy/bffb8e
title: PLAG014-ASCII.stl
DOI: 10.18710/azt6uy/cpyubj
title: PLAG182-ASCII.stl
DOI: 10.18710/azt6uy/dulfk8
title: PLAG113-binary.stl
DOI: 10.18710/azt6uy/gxcl6c
title: PLAG129-binary.stl
DOI: 10.18710/azt6uy/i6xiiz
title: PLAG001-ASCII.stl
DOI: 10.18710/azt6uy/ieupnn
title: OPX034-binary.stl
DOI: 10.18710/azt6uy/io4lbt
title: PLAG065-ASCII.stl
DOI: 10.18710/azt6uy/iqzhcy
title: PLAG087-ASCII.stl
DOI: 10.18710/azt6uy/jtl7tu
title: PLAG031-ASCII.stl
DOI: 10.18710/azt6uy/kcbiv5
title: OPX022-binary.stl
DOI: 10.18710/azt6uy/lwbilo
title: PLAG020-ASCII.stl
DOI: 10.18710/azt6uy/p6afgf
title: PLAG120-binary.stl
DOI: 10.18710/azt6uy/pzjjid
title: PLAG043-binary.stl
DOI: 10.18710/azt6uy/vsu1gd
title: PLAG078-ASCII.stl
DOI: 10.18710/azt6uy/zabeud
title: PLAG013-ASCII.stl
DOI: 10.18710/ce8rqh/ykicdp
title: Figure_3b.jpg

description: High-resolution version of Figure 3b in manuscript.
DOI: 10.18710/dhachz/jq3ggr
title: 01_Results_All_Specimens.tab

description: Measurement_data
DOI: 10.18710/jen4sb/qpdeye
title: waveguide_600um_step_200nm.zip

description: 16-bit TIFF stack
DOI: 10.18710/kwqmyd
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-25; spawning ground: 3; time: morning; camera no: 3

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 3 at spawning ground 3 in the morning of 25 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: morning
DOI: 10.18710/kwqmyd/9oabin
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_13.MP4
DOI: 10.18710/kwqmyd/pj4czm
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_14.MP4
DOI: 10.18710/kwqmyd/vkfxkg
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_12.MP4
DOI: 10.18710/kwqmyd/zxiwu4
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_08.MP4
DOI: 10.18710/oflznp/5aues9
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_07.MP4
DOI: 10.18710/oflznp/asumad
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_09.MP4
DOI: 10.18710/oflznp/dsxqsa
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_02.MP4
DOI: 10.18710/oflznp/gpe22d
title: 2016-09-25_spawning_ground_3_morning_cam_2_file_12.MP4
DOI: 10.18710/pxc6vf/b0v0le
title: 2016-09-24_spawning_ground_3_evening_cam_9_file_05.mp4
DOI: 10.18710/pxc6vf/kzdqt1
title: 2016-09-24_spawning_ground_3_evening_cam_9_file_04.mp4
DOI: 10.18710/splq0i/hwqa2f
title: 2016-09-27_spawning_ground_3_morning_cam_4_file_01.MP4
DOI: 10.18710/vttnxm/rxv9bw
title: ID9.pdf
DOI: 10.18710/whixso/cewm5c
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_09.MP4
DOI: 10.18710/whixso/ucjcgf
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_15.MP4
DOI: 10.18710/whixso/yfkuta
title: 2016-09-27_spawning_ground_3_morning_cam_2_file_06.MP4
DOI: 10.18710/yphcna/6bfjku
title: Locatives-RR_tc_export_4510.xml
DOI: 10.18710/yphcna/vscrrh
title: 00-READ_ME_supplemet_Locatives_Runyankore-Rukiga.txt
DOI: 10.15468/dl.xx2yqe
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cheirotonus parryi"
 ]
}

 The dataset includes 90 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054562-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/7jwazx/6hzajv
title: y_valid.npy

description: Validation set y
DOI: 10.18710/7wrxy9
title: Video recordings of spawning behavior of Arctic charr; date: 2016-09-27; spawning ground: 3; time: morning; camera no: 3

description: &lt;p&gt;This dataset contains video recordings of spawning behavior of Arctic charr (&lt;em&gt;Salvelinus alpinus&lt;/em&gt;) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 3 at spawning ground 3 in the morning of 27 September 2016.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;A description of the data structure and format is gathered in the documentation dataset: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Documentation of the Spawning behavior of Arctic charr video collection", DataverseNO, https://doi.org/10.18710/VIQB0B&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;This dataset is part of a larger collection: Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "The Spawning behavior of Arctic charr video collection". DataverseNO. https://doi.org/10.18710/HTM6-F146.&lt;/b&gt;&lt;/p&gt;
description: morning
DOI: 10.18710/azt6uy/aw8z0c
title: PLAG048-binary.stl
DOI: 10.18710/azt6uy/dah3pd
title: PLAG156-ASCII.stl
DOI: 10.18710/azt6uy/jyqlhy
title: PLAG008-binary.stl
DOI: 10.18710/azt6uy/pq68zu
title: PLAG036-binary.stl
DOI: 10.18710/azt6uy/s9zlzp
title: OPX023-binary.stl
DOI: 10.18710/azt6uy/tud1g6
title: OPX040-binary.stl
DOI: 10.18710/azt6uy/wfarfg
title: PLAG117-binary.stl
DOI: 10.18710/azt6uy/wg6iva
title: PLAG136-ASCII.stl
DOI: 10.18710/azt6uy/xgpqgl
title: OPX036-binary.stl
DOI: 10.18710/ce8rqh/8piuih
title: Figure_3e.jpg

description: High-resolution version of Figure 3e in manuscript.
DOI: 10.18710/ce8rqh/rqxccs
title: Figure_4.jpg

description: High-resolution version of Figure 4 in manuscript.
DOI: 10.18710/ghziiy
title: Replication Data for: Charged dust in the D-region incoherent scatter spectrum

description: MATLAB code for use with Incoherent scatter radar spectrum calculations with an added dust component. This code takes into account the plasma and dust parameters and atmospheric conditions in the altitude region around 50-100 km. Assuming that dust residing in this region is charged and thus participating in the dusty plasma environment and influencing the electron backscatter that can be measured with incoherent scatter radars.
description: MATLAB, 2019a-2021a
DOI: 10.18710/kwqmyd/aszfry
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_03.MP4
DOI: 10.18710/kwqmyd/xteolp
title: 2016-09-25_spawning_ground_3_morning_cam_3_file_16.MP4
DOI: 10.18710/06hsda/t8dgtl
title: 306_IDVH_PRICE_YCRAST_LOW.tab
DOI: 10.18710/44vr8k
title: Hest i trafikk

description: &lt;p&gt;Dette datasettet inneholder resultater fra en spørreundersøkelse utført blant 2757 hestebrukere i Norge og tar for seg spørsmål knyttet til samspillet mellom hest, hestebruker og moderne veitrafikk. Datamaterialet er ferdig prosessert og presenteres i form av grafiske fremstillinger basert på svarene på spørreskjemaet. Datasettet inngår i datamaterialet bak publikasjonen «Predictors of perceived road collision/incident risk among horse users: A survey study from Norway» (doi: 10.1016/j.trf.2020.08.022).&lt;/p&gt;
&lt;p&gt; This dataset contains results from a survey performed among 2757 horse users in Norway on the interaction between horses, horse users and road traffic. The data material has been analysed and is displayed as graphic charts based on the survey responses. The dataset is comprised in the data material behind the research article «Predictors of perceived road collision/incident risk among horse users: A survey study from Norway» (doi: 10.1016/j.trf.2020.08.022).&lt;/p&gt;
&lt;p&gt;Abstract for the related publication: Although horse users in traffic are a vulnerable road user group, traffic safety problems among them are scantly examined by previous research. The main aim of the present study was to examine the role of some demographic variables, traffic safety attitudes, and level of knowledge about rules and regulations applying to horse use in traffic for predicting perceived road collision/incident risk in a sample of horse users in Norway. An online survey was conducted to collect data from a total of 1733 horse users including horse riders and drivers of horse-drawn sulky, wagon or sled. The respondents accessed the survey via a link put to the website of the Norwegian Horse Centre, which is in contact with many different horse user environments in Norway. The majority of the respondents were female and between the ages of 18–30. A multiple regression analysis was conducted to examine the predictors of the perceived collision/incident risk involving other motor vehicles. Results showed that traffic safety attitudes among horse users were the strongest predictor of the perceived collision/incident risk. In particular, horse users reported a negative attitude towards the other road users (e.g. drivers) indicating that they perceive the other road users’ actions and approaches as the biggest source of risk in road traffic. The level of knowledge about the rules and regulations applying to horse use, especially in walking and cycling lane, was relatively low among the respondents. However, knowledge about rules and regulations did not appear as a strong predictor of the perceived collision/incident risk. Results indicate the need to increase road users, especially drivers’, awareness about the problems and needs of horse users in traffic.&lt;/p&gt;
description: Enalyzer
DOI: 10.18710/8ee2js/mnjja7
title: LousePigmentation_Indoor-Outdoor.txt

description: Data from experiment 1: compares pigmentation of lice cultivated indoor and outdoors in two experiments, one in June and one in September 2008. Photos are taken using translucent light and pigmentation is measured as the mean grey value in 50 pixel wide area on the louse cephalothorax using ImageJ. An equivalent area in the background just outside each louse is also measured and subtracted from the area covered by the louse to give a measure on how much light that is blocked by each louse.
DOI: 10.18710/azt6uy/05oz72
title: OPX050-binary.stl
DOI: 10.18710/azt6uy/37k9ny
title: OPX011-binary.stl
DOI: 10.18710/azt6uy/70lub7
title: PLAG017-ASCII.stl
DOI: 10.18710/azt6uy/bhascg
title: PLAG138-binary.stl
DOI: 10.18710/azt6uy/c5isua
title: PLAG109-ASCII.stl
DOI: 10.18710/azt6uy/ci6unm
title: PLAG162-binary.stl
DOI: 10.18710/azt6uy/dfap8c
title: PLAG111-binary.stl
DOI: 10.18710/azt6uy/dqlcmc
title: OPX075-ASCII.stl
DOI: 10.18710/azt6uy/g07tzc
title: PLAG051-ASCII.stl
DOI: 10.18710/azt6uy/lf564x
title: PLAG134-binary.stl
DOI: 10.18710/azt6uy/m5lnel
title: PLAG161-ASCII.stl
DOI: 10.18710/azt6uy/menowg
title: OPX051-binary.stl
DOI: 10.18710/azt6uy/oksp7s
title: PLAG022-binary.stl
DOI: 10.18710/azt6uy/spb1jg
title: PLAG016-ASCII.stl
DOI: 10.18710/azt6uy/ti1mst
title: Figure A.1.pdf
DOI: 10.18710/azt6uy/wdnpel
title: OPX008-ASCII.stl
DOI: 10.18710/azt6uy/zgc6my
title: PLAG033-ASCII.stl
DOI: 10.18710/lp3ymq/irmlfe
title: Supplement_S1.jpg

description: High-resolution version of supplement S1.
DOI: 10.18710/zgaydt
title: Sibilant and velarized coda /s/ matched guise survey in Spain

description: This dataset contains the responses (386) collected from a matched guise survey distributed in Spain. The speakers used in the study were from Madrid and their recordings presented to the participants differed in the pronunciation of coda /s/ before /k/, each recording presenting either the sibilant or velarized variant. Participants were asked to hypothesize the speaker's place of origin, evaluate several personal characteristics and postulate the education level, class and profession of the speaker. Participants were also asked about their preference for the speaker as a friend, colleague and employee as well as their evaluation of how the speaker completed the task (telling a story) and whether they thought they would get along with the speaker. Personal data collected from the participants include their origin, age, gender and whether they had ever lived in another region of Spain. This dataset forms part of a dissertation investigating coda /s/ in Madrid, and the findings from this dataset are published in &lt;i&gt;Borealis – An International Journal of Hispanic Linguistics&lt;/i&gt; and &lt;i&gt;Studies in Hispanic and Lusophone Linguistics&lt;/i&gt;.
description: SurveyGuizmo, 2006
DOI: 10.18710/06hsda/bv5bwl
title: 324_X_FLOW_YCRST_LOW.tab
DOI: 10.18710/06hsda/qpw4hd
title: 326_CURT_YCRAGFST_LOW.tab
DOI: 10.18710/azt6uy/vks9oh
title: OPX076-ASCII.stl
DOI: 10.18710/ce8rqh/8e7n6i
title: Figure_3f.jpg

description: High-resolution version of Figure 3f in manuscript.
DOI: 10.18710/g4siij/3nnbrw
title: eye3.zip
DOI: 10.18710/g4siij/e4pltj
title: eye1.zip
DOI: 10.18710/lp3ymq/a9tenk
title: Supplement_S1.jpg

description: High-resolution version of Supplement S1.
DOI: 10.18710/u7rrke/n3xxka
title: fold increase in treatment length.txt

description: .txt version of the Mathematica code with the same name
DOI: 10.18710/viqb0b/z2ocz7
title: Spawning_observed.tab