cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1jh3jdq
title: Age demographics of salmon permit holders in the Alaskan Commercial Fisheries Entry Commission, 1976-2016

description: The Commercial Fisheries Entry Commision (CFEC) is an independent, autonomous agency of the State of Alaska which regulates entry into Alaska's commercial fisheries. The CFEC is committed to promoting conservation and sustained-yield management of Alaska's unique fishery resources and boosting economic stability among fishermen and their dependents. To ensure effective management of commercial fisheries, all vessels used for commercial fishing or related activities must be licensed by the CFEC. This includes fishing vessels, tenders, packers, processors, transporter vessels, and seine skiffs. The CFEC is responsible for leasing all commercial fishing permits including permits for limited-entry fisheries. Limited-entry fisheries include all state salmon fisheries, most herring fisheries, and various other fisheries. This dataset includes age demographics, broken out into decades, of all salmon permit holders between 1975 and 2016. The source of this permit information is permit application and renewal forms collected by CFEC.
DOI: 10.5066/f7jw8d5s
title: Groundwater and Tidal Time Series Data, Operable Unit 2, Area 8, Naval Base Kitsap, Keyport, Washington

description: This Data release includes time series data collected at Operable Unit 2, Area 8, at Naval Base Kitsap, Keyport, WA. Groundwater elevations and water quality parameters in five monitoring wells, along with tide levels in Port Orchard Bay, were monitored every 15 minutes during a 3-week duration. Time series data were collected from October 24, 2017, to November 16, 2017, a period that included neap and spring tides. Field deployment details and quality assurance methods are included in Open-File Report 2018-1082, "Analysis of Groundwater Response to Tidal fluctuations, Operable Unit 2, Area 8, Naval Base Kitsap, Keyport, Washington". Tidal altitudes were adjusted by an estimated offset to be approximately comparable to NAVD88 groundwater altitudes. Tide and groundwater altitudes are referenced to the North American Vertical Datum 1988 (NAVD88). Tide and groundwater horizontal datum for latitude and longitude were referenced to North American Datum 1983 (NAD83). Water parameters included in each MW-#_Time_Series_Data.csv file are temperature, in degrees Celsius (C); water level altitude, in feet (ft) above NAVD88; specific conductivity, in microsiemens per centimeter; and salinity, in practical salinity units (PSU). Parameters in the file Tide_Level_Time_Series_Data.csv are temperature, in degrees C, and tide level, in ft approximately above NAVD88. An Internet link to the National Water Information System (NWIS) is provided on this landing page along with an attached table of monitoring well and tide information including the well ID number (Keyport_OU2_Area8_Monitoring _Site_ID.csv).
DOI: 10.5281/zenodo.1472213
title: AndyData-lab-onePersonWithExoskeleton

description: This dataset contains physical, physiological and subjective measurements of humans performing a manual task with and without the assistance of an upper-limb exoskeleton. 12 participants took part in an in-lab experiment in which they performed an overhead pointing task in two different conditions: while wearing the PAEXO passive exoskeleton for arm support developed by Ottobock SE & Co. KGaA, and while not wearing the exoskeleton. Participants' whole-body kinematics, ground reaction force, shoulder and back muscle activity, oxygen consumption and heart rate were recorded. The Nasa Task Load Index was used to assess the perceived workload. After the experiment, participants answered a technology acceptance questionnaire and were interviewed to evaluate their opinion of the exoskeleton.<br> All data files are provided in proprietary format (when existing), in standard motion analysis format, and in matlab and csv format. Videos of a human avatar replaying participants' motions are also provided.<br> A detailed description of how the data were collected is available in the paper associated with the dataset: "Objective and Subjective Effects of a Passive Exoskeleton on Overhead Work" (Maurice <em>et al.</em>, IEEE Trans. Neural Systems and Rehabilitation Engineering, in press) https://hal.archives-ouvertes.fr/hal-02301922/document
DOI: 10.5281/zenodo.1472214
title: AndyData-lab-onePersonWithExoskeleton

description: This dataset contains physical, physiological and subjective measurements of humans performing a manual task with and without the assistance of an upper-limb exoskeleton. 12 participants took part in an in-lab experiment in which they performed an overhead pointing task in two different conditions: while wearing the PAEXO passive exoskeleton for arm support developed by Ottobock SE & Co. KGaA, and while not wearing the exoskeleton. Participants' whole-body kinematics, ground reaction force, shoulder and back muscle activity, oxygen consumption and heart rate were recorded. The Nasa Task Load Index was used to assess the perceived workload. After the experiment, participants answered a technology acceptance questionnaire and were interviewed to evaluate their opinion of the exoskeleton.<br> All data files are provided in proprietary format (when existing), in standard motion analysis format, and in matlab and csv format. Videos of a human avatar replaying participants' motions are also provided.<br> A detailed description of how the data were collected is available in the paper associated with the dataset: "Objective and Subjective Effects of a Passive Exoskeleton on Overhead Work" (Maurice <em>et al.</em>, IEEE Trans. Neural Systems and Rehabilitation Engineering, in press) https://hal.archives-ouvertes.fr/hal-02301922/document
DOI: 10.5281/zenodo.1472476
title: Experiments on the effects of width variations of step formation and stability in steep streams

description: This repository contains experimental data used in the manuscript "Width variations control the location and stability of steps in steep streams: insight from flume experiments" submitted to Geophysical Research Letters by Saletti M. and Hassan M. A. - The matlab script Steps_Slices.m is the the code used to identify steps from the bed elevation file DEM, using the modified version of the algorithm of Zimmermann, Church and Hassan (Geomorphology, 2008). - The 4 subfolders contains the DEMs post-processed, as .txt files, and the photos, as .jpg files, after each hour of experiment. The name of the folder identifies the experiments and the cumulative hour after which the data have been collected (e.g. N1_06 contains DEM and photo collected after 6 hours of experiment N1). - Each hour the unit discharge was increased as follows:<br> Runs q [l/s/m]<br> 00 5.0<br> 01 10.0<br> 02 12.0<br> 03 14.5<br> 04 17.5<br> 05 21.0<br> 06 25.0<br> 07 30.0<br> 08 36.0<br> 09 43.2<br> 10 51.8<br> 11 62.2<br>
DOI: 10.5281/zenodo.1472477
title: Experiments on the effects of width variations of step formation and stability in steep streams

description: This repository contains experimental data used in the manuscript "Width variations control the location and stability of steps in steep streams: insight from flume experiments" submitted to Geophysical Research Letters by Saletti M. and Hassan M. A. - The matlab script Steps_Slices.m is the the code used to identify steps from the bed elevation file DEM, using the modified version of the algorithm of Zimmermann, Church and Hassan (Geomorphology, 2008). - The 4 subfolders contains the DEMs post-processed, as .txt files, and the photos, as .jpg files, after each hour of experiment. The name of the folder identifies the experiments and the cumulative hour after which the data have been collected (e.g. N1_06 contains DEM and photo collected after 6 hours of experiment N1). - Each hour the unit discharge was increased as follows:<br> Runs q [l/s/m]<br> 00 5.0<br> 01 10.0<br> 02 12.0<br> 03 14.5<br> 04 17.5<br> 05 21.0<br> 06 25.0<br> 07 30.0<br> 08 36.0<br> 09 43.2<br> 10 51.8<br> 11 62.2<br>
DOI: 10.18739/a2dr2p803
title: Soil properties and plant functional group biomass, Emerald Lake, Kluane Lake Region, Yukon Territory, Canada, 2015
DOI: 10.5066/f7g73d0g
title: Up-looking acoustic Doppler current profiler data in the Chicago Sanitary and Ship Canal near Lemont, Illinois, January 2014 to January 2018

description: A critical component of the Lake Michigan Diversion Accounting (LMDA) program, which oversees the diversion of Great Lakes water by the State of Illinois, is the U.S. Geological Survey (USGS) streamflow gaging station on the Chicago Sanitary and Ship Canal (CSSC) near Lemont, Illinois (05536890). The long-term application of an up-looking acoustic Doppler current profiler (ADCP) at this gaging station allows the flows at this site to be examined from a new perspective; one that is not possible with the horizontally-oriented instruments typically used at the site. This data release includes continuous 1-minute and 15-minute time-averaged velocity data from an up-looking ADCP deployed on the bed of the CSSC approximately 170 feet upstream of the streamgage (Latitude: 41.691151 degrees North, Longitude: -87.963081 degrees West; World Geodetic System 1984). The 1,200 kHz Teledyne RDI Rio Grande ADCP was mounted in a custom-built aluminum mount and fixed (bolted) to the bedrock bottom of the canal by divers on June 18, 2013. A direct connection between the gage house and the instrument was possible using a 300 foot (ft) armored power and communication cable. The trawl-resistant mount was designed to shed debris and places the ADCP transducers 2.0 ft above the bed of the canal. The bed elevation at the deployment location at the time of deployment was measured to be 550.61 ft above the North American Vertical Datum of 1988 (NAVD88). The ADCP was configured with thirty 0.98 ft bins and a 0.82 ft blanking distance. The center of the first bin was located 4.3 ft above the channel bed. The instrument was configured to use water mode 12 with 100 subpings per 1-minute ensemble and a time between subpings of 0.55 seconds. Therefore, each 1-minute ensemble represents an average over approximately 57 seconds of each minute. This configuration produces 1-minute time-averaged velocity profiles with an estimated standard deviation of horizontal velocity of approximately 0.04 feet per second. The 1-minute time-averaged data are used by the Campbell Scientific CR1000 data logger to compute the 15-minute time-averaged data. Time stamps (in Central Standard Time) are recorded at the end of the 1-minute and 15-minute averaging intervals. Data from the instrument including streamwise, transverse, and vertical velocity components, return signal strength indicator (RSSI), correlation, pitch, roll, water temperature at the transducer head, and battery voltage are included in the datasets.
DOI: 10.5281/zenodo.1471709
title: Continuous passive seismic data recorded at the Larderello-Travale geothermal field (June 2017-January 2018)

description: The compressed files contain the continuous data (in mseed format) recorded from 23 June 2017 to 21 January 2018 by 8 temporary stations installed in the Larderello-Travale geothermal field (Lago Boracifero area). VN.dseed is a dataless SEED containing the metadata about the instruments.
DOI: 10.5281/zenodo.1471708
title: Continuous passive seismic data recorded at the Larderello-Travale geothermal field (June 2017-January 2018)

description: The compressed files contain the continuous data (in mseed format) recorded from 23 June 2017 to 21 January 2018 by 8 temporary stations installed in the Larderello-Travale geothermal field (Lago Boracifero area). VN.dseed is a dataless SEED containing the metadata about the instruments.
description: NIVA.zip does not contain anymore mseed files recorded by RITA, which were previously added by mistake
DOI: 10.5281/zenodo.1117227
title: RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian

description: This dataset contains human-annotated sense identifiers for 2562 contexts of 20 words used in the RUSSE'2018 shared task on Word Sense Induction and Disambiguation for the Russian language; part of the <em>bts-rnc</em> evaluation dataset. These sense identifiers are disambiguated as according to the sense inventory of the Large Explanatory Dictionary of Russian. The annotation is done on December 1, 2017, on the Yandex.Toloka crowdsourcing platform. In particular, 80 pre-annotated contexts are used for training the human annotators, 2562 contexts are annotated by humans such that each context was annotated by 9 different annotators. The annotation reliability is indicated by a high value of Krippendorff's α = 0.83. After the annotation, every context was additionally inspected (“curated”) by the organizers of the shared task. The following words are represented: <em>акция</em> (action / stock), <em>байка</em> (yarn / tale), <em>гвоздика</em> (carnation / nail), <em>гипербола</em> (hyperbole), <em>град</em> (avalanche), <em>гусеница</em> (grub), <em>домино</em> (domino), <em>кабачок</em> (marrow / pub), <em>капот</em> (hood), <em>карьер</em> (mine / career), <em>кок</em> (cook), <em>крона</em> (top / crown), <em>круп</em> (croup), <em>мандарин</em> (mandarine), <em>рок</em> (fate / rock), <em>слог</em> (syllable), <em>стопка</em> (glass, stack), <em>таз</em> (bowl), <em>такса</em> (rate / badger-dog), <em>шах</em> (shah / check). The following files are included in this dataset: Toloka assignments (training: <em>tasks-train.tsv</em>, annotation: <em>tasks-test.tsv</em>) Toloka output (non-aggregated: <em>assignments_01-12-2017.tsv.xz</em>, aggregated: <em>aggregated_results_pool_1036853__2017_12_01.tsv</em>) annotator agreement report (<em>agreement.txt</em>) curated report (<em>report-curated.tsv.xz</em> and a supplementary file <em>tasks-eval.tsv.xz</em>) the final aggregated dataset (<em>bts-rnc-crowd.tsv</em>) The <em>bts-rnc-crowd.tsv</em> file has the following format: <em>id</em>, <em>lemma</em>, <em>sense_id</em>, <em>left</em> hand side context, <em>word</em> form, <em>right</em> hand side context, list of <em>senses</em>. The encoding is UTF-8 and the line breaks are LF (UNIX).
description: Panchenko, A., Lopukhina, A., Ustalov, D., Lopukhin, K., Arefyev, N., Leontyev, A., Loukachevitch, N.: RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference "Dialogue". pp. 547–564. RSUH, Moscow, Russia (2018)
DOI: 10.5281/zenodo.1117228
title: RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian

description: This dataset contains human-annotated sense identifiers for 2562 contexts of 20 words used in the RUSSE'2018 shared task on Word Sense Induction and Disambiguation for the Russian language; part of the <em>bts-rnc</em> evaluation dataset. These sense identifiers are disambiguated as according to the sense inventory of the Large Explanatory Dictionary of Russian. The annotation is done on December 1, 2017, on the Yandex.Toloka crowdsourcing platform. In particular, 80 pre-annotated contexts are used for training the human annotators, 2562 contexts are annotated by humans such that each context was annotated by 9 different annotators. The annotation reliability is indicated by a high value of Krippendorff's α = 0.83. After the annotation, every context was additionally inspected (“curated”) by the organizers of the shared task. The following words are represented: <em>акция</em> (action / stock), <em>байка</em> (yarn / tale), <em>гвоздика</em> (carnation / nail), <em>гипербола</em> (hyperbole), <em>град</em> (avalanche), <em>гусеница</em> (grub), <em>домино</em> (domino), <em>кабачок</em> (marrow / pub), <em>капот</em> (hood), <em>карьер</em> (mine / career), <em>кок</em> (cook), <em>крона</em> (top / crown), <em>круп</em> (croup), <em>мандарин</em> (mandarine), <em>рок</em> (fate / rock), <em>слог</em> (syllable), <em>стопка</em> (glass, stack), <em>таз</em> (bowl), <em>такса</em> (rate / badger-dog), <em>шах</em> (shah / check). The following files are included in this dataset: Toloka assignments (training: <em>tasks-train.tsv</em>, annotation: <em>tasks-test.tsv</em>) Toloka output (non-aggregated: <em>assignments_01-12-2017.tsv.xz</em>, aggregated: <em>aggregated_results_pool_1036853__2017_12_01.tsv</em>) annotator agreement report (<em>agreement.txt</em>) curated report (<em>report-curated.tsv.xz</em> and a supplementary file <em>tasks-eval.tsv.xz</em>) the final aggregated dataset (<em>bts-rnc-crowd.tsv</em>) The <em>bts-rnc-crowd.tsv</em> file has the following format: <em>id</em>, <em>lemma</em>, <em>sense_id</em>, <em>left</em> hand side context, <em>word</em> form, <em>right</em> hand side context, list of <em>senses</em>. The encoding is UTF-8 and the line breaks are LF (UNIX).
description: Panchenko, A., Lopukhina, A., Ustalov, D., Lopukhin, K., Arefyev, N., Leontyev, A., Loukachevitch, N.: RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference "Dialogue". pp. 547–564. RSUH, Moscow, Russia (2018)
DOI: 10.5281/zenodo.1475208
title: Data set used in the Article "Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches"

description: Data used for the Relativistic Runaway Electron Avalanches (RREA) simulations of the Article : "Evaluation of Monte Carlo tools for high energy atmospheric physics II: relativistic runaway electron avalanches" by D. Sarria et al. Includes two set of results : The Probability of Generating RREAs, and the Characterizations of RREAs. Link to the article : https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html DOI of the article: 10.5194/gmd-2018-119
DOI: 10.21227/z9dd-5275
title: Music and Animals' Basic Emotions

description: Music and animal's basic emotions associated with acoustic signals.
DOI: 10.18739/a2901zf74
title: Marine-terminating outlet glacier terminus positions, Disko and Uummannaq Bay, West Greenland, 1985-2015
DOI: 10.7910/dvn/sj00mz/7c23ax
title: Nitrogen_geometry.txt

description: Nitrogen DFT B3LYP 6-31+G(d) geometry and frequency analysis data. D4h (Dinfh) point group symmetry.
DOI: 10.7910/dvn/sj00mz/psh06s
title: Nitrogen_TDDFT.txt

description: Nitrogen TDDFT B3LYP 6-31+G(d) gradient and data output. D4h (Dinfh) point group symmetry.
DOI: 10.5281/zenodo.1453408
title: Pulsational pair-instability supernovae in very close binaries

description: Models of pulsational pair-instability supernovae arising from the evolution of metal poor helium stars. These simulations have been made with the MESA software instrument for stellar evolution, and are used in the paper "Pulsational pair-instability supernovae in very close binaries". Data includes machine-readable tables, both history and profile files from the simulations, as well as the terminal output and a movie for each. All MESA output files have been post-processed to reduce their size. All the code used to process the MESA simulations and produce figures is provided in a jupyter-notebook. WARNING: Simulations were done using a development MESA version (11123) rather than an official release. List of files: - template.tar.xz: MESA work folder to reproduce the simulations. - xxx_xx.tar.xz: Each of these files contains stellar profiles at different moments of evolution for one simulation. - histories.tar.xz: MESA history files for each simulation, containing the time evolution of quantities that are single-valued at each moment in time. - preSN.tar.xz: profiles for stars before the onset of pulsations (see paper for definition). - movies.tar: Movies for all simulations, produced using MESAs pgstar. - terminal_output.tar.xz: Terminal output from the simulations. - masses_table.txt: Machine readable version of Table 1 in the paper. - pulse_tables.tar.xz: machine readable tables containing mass lost, time, and kinetic energy of each pulse. - notebook.tar.xz: jupyter-notebook plus complementary files used to post-process the data and produce Figures.
DOI: 10.5281/zenodo.1475507
title: Slovenian adaptation of the Brief Sensation Seeking Scale (BSSS-8)

description: Dataset accompanying the paper "Adaptation and psychometric properties of the Slovenian Brief Sensation Seeking Scale (BSSS-8)" submitted to the Current Psychology.
DOI: 10.5281/zenodo.1475508
title: Slovenian adaptation of the Brief Sensation Seeking Scale (BSSS-8)

description: Dataset accompanying the paper "Adaptation and psychometric properties of the Slovenian Brief Sensation Seeking Scale (BSSS-8)" submitted to the Current Psychology.
DOI: 10.7910/dvn/yaav4x/49z38f
title: Section 06a1 HHH_s Marriage and Dowry Information.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/9zwfi5
title: Section 15 Regular Contacts on Mainland.tab

description: :unav
DOI: 10.7910/dvn/yaav4x/bozfkr
title: Section 20c Birth, Postnatal Care, Breastfeeding, and Tobacco Consumption Behaviour during Pregnancy.tab

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DOI: 10.7910/dvn/yaav4x/cl3k4n
title: Section 07c Second-hand Smoking, and Knowledge, Attitudes and Perception.tab

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DOI: 10.7910/dvn/yaav4x/e4kva0
title: Section 09 Support from Government and Non-Government Programs.tab

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DOI: 10.7910/dvn/yaav4x/egzglo
title: Section 07b Smokeless Tobacco Consumption of HHH.tab

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DOI: 10.7910/dvn/yaav4x/iuett7
title: Section 20a EQ-5D-3L and WPAI of Spouse.tab

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DOI: 10.7910/dvn/yaav4x/jarkwm
title: Section 08a Housing and Plot Ownership.tab

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DOI: 10.7910/dvn/yaav4x/k5tz6d
title: Section 06b Daughter-in-law_s Information.tab

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DOI: 10.7910/dvn/yaav4x/mmoddx
title: Section 08b Farm Production.tab

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DOI: 10.7910/dvn/yaav4x/nc11nd
title: Section 16 Relocation History.tab

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DOI: 10.7910/dvn/yaav4x/xhvd7z
title: Section 17a Respiratory Diseases.tab

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DOI: 10.7910/dvn/yaav4x/zkwse2
title: Section 02 Household Composition.tab

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DOI: 10.7910/dvn/yaav4x/zxmkyv
title: Section 17c EQ-5D-3L and WPAI of HHH.tab

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DOI: 10.7910/dvn/yaav4x/5wxgcv
title: Section 14a Migration and Remittance.tab

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DOI: 10.7910/dvn/yaav4x/5xczvo
title: Section 10 Loans, Savings and Lendings.tab

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DOI: 10.7910/dvn/yaav4x/ahzzkr
title: Section 17b Co-morbidities and Cost of Health Care.tab

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DOI: 10.11588/data/qgkgsn/yvahe0
title: Clt_instructions_early_late_ger.docx

description: :unav
DOI: 10.11588/data/qgkgsn/ar8bbx
title: Clt_instructions_early_late_translated_en.pdf

description: :unav
DOI: 10.11588/data/qgkgsn/yx6c5t
title: zTree programs.zip

description: :unav
DOI: 10.11588/data/qgkgsn/zu6egp
title: Clt_instructions_early_late_translated_en.docx

description: :unav
DOI: 10.11588/data/qgkgsn/76oggr
title: Data and statistical analyses.zip

description: :unav
DOI: 10.11588/data/qgkgsn
title: Delayed Risk in Individual and Social Decisions [Dataset]

description: This paper studies temporal-distance effects on individual and social risks, testing Construal Level Theory. We elicit WTPs for risky and ambiguous lotteries and vary the timing (immediately vs. in two weeks) when the uncertainty is resolved. Subjects have lower WTPs for longshots than for safer lotteries. Under ambiguity, this gap decreases with temporal distance. Subjects are ambiguity averse, which becomes less pronounced when low probability lotteries are processed in the future. In a trust game, we study temporal-distance effects on social risks. Time distance lowers trust as trustors correctly anticipate that reciprocity is lower when trustees decide in the future.