cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vnnqn3
title: Occurrence Download

description: A dataset containing 2545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stropharia albonitens (Fr.) Quél., Psilocybe coronilla (Bull.) Noordel.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2545 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254216-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-49221
title: Redemption tidings, vol. 26, nos. 1-26, 6 Jan. - 22 Dec. 1950

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes We hold the lines in each issue (6 Jan. - 3 Mar., 31 Mar. - 23 June, 21 July - 1 Sept., 29 Sept, 27 Oct. - 22 Dec. 1950) except vol. 26 nos. 8, 14, 19 & 21. Bound with vol. 27.
DOI: 10.15468/dl.qr3uqq
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis gracilis (Lynch, 1986)"
 ]
}

 The dataset includes 348 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144845-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wj232
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias albicans S.Watson"
 ]
}

 The dataset includes 1284 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059505-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc9f2v
title: Occurrence Download

description: A dataset containing 735 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynomops planirostris (Peters, 1866)"
 ]
}

 The dataset includes 735 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0349160-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arb2mg
title: Occurrence Download

description: A dataset containing 27905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Saxifraga hypnoides L., Solanum torvum Sw., Cyclamen purpurascens Mill., Iris versicolor L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27905 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194733-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdt2zv
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias cooperi N.E.Br."
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059828-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47897
title: Redemption tidings, vol. 24, nos. 1-26, 2 Jan. - 17 Dec. 1948

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (2-16 Jan., 13 Feb. - 23 Apr., 21 May - 17 Dec. 1948) except vol. 24 nos. 3 & 10. Bound with vol. 25.
DOI: 10.15468/dl.6v7ysv
title: Occurrence Download

description: A dataset listing the 6425 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-111.37413 43.72304,-109.55165 43.72304,-109.55165 45.31118,-111.37413 45.31118,-111.37413 43.72304))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 6425 records were derived from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0361150-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6zpvi
title: Occurrence Download

description: A dataset containing 4319249 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 4319249 records from 1195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012568-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/iorwf6/2cg6da
title: Ch3_page092_enus.wav
DOI: 10.18710/iorwf6/2cyrtp
title: Ch6_ex126_130825-6_12-54.wav
DOI: 10.18710/iorwf6/3an0d3
title: Ch6_ex108_120715-4_00-57.mp3
DOI: 10.18710/iorwf6/3byojy
title: Ch3_page111_nisif.mp3
DOI: 10.18710/iorwf6/3xdotk
title: Ch7_ex145_120715-1_01-31.wav
DOI: 10.18710/iorwf6/6hn1kv
title: Ch6_ex110_130825-7_01-02.mp3
DOI: 10.18710/iorwf6/6wdtp3
title: Ch4_Table4-11c_neno_nua.mp3
DOI: 10.18710/iorwf6/7xmbi8
title: Ch3_ex053a_kaunaq.mp3
DOI: 10.18710/iorwf6/aezguv
title: Ch6_ex094_130825-6_07-34.wav
DOI: 10.18710/iorwf6/auj7ux
title: Ch3_ex131_130913-1_00-35.wav
DOI: 10.18710/iorwf6/bmu7ja
title: Ch4_Table4-14e_NB_nluuli.mp3
DOI: 10.18710/iorwf6/bzmbg7
title: Ch7_ex162_RO-170830-5_02-24.wav
DOI: 10.18710/iorwf6/cn9ah7
title: Ch3_page094c_uki.mp3
DOI: 10.18710/iorwf6/eltzwu
title: Ch3_ex015b_riaksaen.wav
DOI: 10.18710/iorwf6/fnsraj
title: Ch7_ex025_120923-2_06-28.wav
DOI: 10.18710/iorwf6/forh5b
title: Ch7_ex108_120715-0-00-51-00-58.wav
DOI: 10.18710/iorwf6/gblnwq
title: ChA_ex033_RO-170819-1_02-51.mp3
DOI: 10.18710/iorwf6/gs1y7s
title: Ch3_page136b_aikaq.mp3
DOI: 10.18710/iorwf6/if3vsb
title: Ch6_ex083_120715-2_00-37.mp3
DOI: 10.18710/iorwf6/itj1bt
title: Ch6_ex165_130906-1_05-19.wav
DOI: 10.18710/iorwf6/iyjltv
title: Ch3_ex084c_bijae.wav
DOI: 10.18710/iorwf6/jecp3k
title: Ch6_ex177_130907-3_00-33.wav
DOI: 10.18710/iorwf6/k3ywuy
title: Ch3_ex002c_koqu.mp3
DOI: 10.18710/iorwf6/lhjfca
title: Ch6_ex205_130907-3_07-36.wav
DOI: 10.18710/iorwf6/ltpcyi
title: Ch6_ex208_130821-1_07-18.wav
DOI: 10.18710/iorwf6/obochq
title: Ch7_ex041_120715-3_00-14.wav
DOI: 10.18710/iorwf6/oojgms
title: Ch7_ex135_130825-7_03-30-03-40.wav
DOI: 10.18710/iorwf6/p4w74o
title: Ch3_ex056d_qnaak_funuf.wav
DOI: 10.18710/iorwf6/phmzwv
title: Ch3_ex127_130902-1_03-15_part.wav
DOI: 10.18710/iorwf6/pplrlj
title: Ch6_ex014_120715-3_00-33.mp3
DOI: 10.18710/iorwf6/q3b3zo
title: Ch6_ex136_130825-8_01-41.mp3
DOI: 10.18710/iorwf6/slovpr
title: Ch6_ex128_130823-5_00-26.mp3
DOI: 10.18710/iorwf6/ssjwi6
title: Ch7_ex130_130913-1_00-57-00-59.mp3
DOI: 10.18710/iorwf6/twk12j
title: Ch3_Table3-12h_antoup.mp3
DOI: 10.18710/iorwf6/ve7ofi
title: Ch6_ex160_130825-6_00-08.wav
DOI: 10.18710/iorwf6/vfn4rm
title: Ch3_ex027_130928-1_01-41.wav
DOI: 10.18710/iorwf6/vmxhud
title: Ch6_ex133_130909-6_03-39.wav
DOI: 10.18710/iorwf6/vyg34f
title: Ch8_ex013_130825-3_01-21.mp3
DOI: 10.18710/iorwf6/wdzp2q
title: Ch6_ex161_130909-6_01-26.wav
DOI: 10.18710/iorwf6/woqj3d
title: Ch6_ex052_120715-4_03-57.mp3
DOI: 10.18710/iorwf6/wrpo5k
title: Ch4_Table4-14p_NB_nanaano.mp3
DOI: 10.18710/iorwf6/x0yizm
title: Ch3_ex017_130902-1_03-52.mp3
DOI: 10.18710/iorwf6/y32guv
title: Ch4_Table4-14l_NB_nkiiso.mp3
DOI: 10.18710/iorwf6/ysb6dr
title: Ch4_page196b_NB_nmaani.wav
DOI: 10.18710/iorwf6/ywqwbm
title: Ch6_ex157_130925-1_03-47.wav
DOI: 10.18710/iorwf6/zpbxxm
title: Ch7_ex060_120923-1_04-18.wav
DOI: 10.18710/jhb371/k29oht
title: 1_ms_data.RData
DOI: 10.18710/klqvok/illxdw
title: JupyterNotebook_table1_make_species_table.ipynb

description: Jupyter Notebook with Python code for generating Table 1 in the journal article. Note that the molecular formulas are generated in upper case.
DOI: 10.18710/meyfpm/je7boj
title: fields-07500.dat
DOI: 10.18710/pakds9/khc8tc
title: 09_PERELISTNUT_PERELISTAT.csv

description: Annotated corpus examples of the Pref-dyad perelistnut’ - perelistat’ ‘flip page(s)’ (CSV).
DOI: 10.18710/pakds9/olpl2n
title: 08_PrefDyads_Semantics.tab

description: Corpus examples for verbs in 20 Pref-dyads annotated with lexical meanings (XLSX).
DOI: 10.18710/saiank/s4nw3p
title: Melkoya.txt
DOI: 10.18710/wnksvx
title: Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables

description: Access to an increasing amount of data opens for the application of machine learning
models to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. 

This data-set describe the historical performance-gap of two given bidding strategies over several years (2016-2018). Data from two different bidding strategies are presented in the data-set. The first is bidding the expected volume. The expected volumes are found by deterministic optimization against forecasted price and inflow using the SHOP software, and are submitted as fixed hourly bids to the Nord Pool power exchange. The second strategy is stochastic bidding. The stochastic model is based on the deterministic method, but allows for a stochastic representation of inflow to the reservoir and day-ahead market prices. SHOP is a software tool for optimal short-term hydropower scheduling developed by SINTEF Energy Research, used by many hydropower producers in the Nordic market.

The total performance-gap for the two strategies in the data-set are calculated as the difference between the optimum value for the relevant bidding date and the value of the investigated strategy. A high number for indicate poor performance.

In addition, a set of of relevant variables accessible prior to bidding have been collected and are published in the data-set. Realized- and prognosed prices in the data-set are prices for the NO2 area in Nordpool. The reservoir and watervalue in the data-set are associated with a river system located in south-western Norway
DOI: 10.18710/xh0kce/9mx6yu
title: IMG_0057.JPG
DOI: 10.18710/aqbbui/qhqjdm
title: qmigrant_questionnaire_pl.txt

description: QMigrant question and response set, Polish version
DOI: 10.18710/bg1qng/5uv3ud
title: y2016-m09-d21-08-55-54.nc
DOI: 10.18710/bg1qng/detpom
title: y2016-m09-d26-10-40-25.nc
DOI: 10.18710/bg1qng/ftz3hf
title: y2016-m09-d22-03-45-03.nc
DOI: 10.18710/bg1qng/i0vtlq
title: y2016-m09-d22-14-20-11.nc
DOI: 10.18710/bg1qng/nf1yeb
title: y2016-m09-d22-21-58-49.nc
DOI: 10.18710/bg1qng/omltze
title: y2016-m09-d21-20-06-22.nc
DOI: 10.18710/bg1qng/oro0o3
title: y2016-m09-d21-20-41-38.nc
DOI: 10.18710/bg1qng/vfagid
title: y2016-m09-d21-04-48-52.nc
DOI: 10.18710/bg1qng/wwqtzo
title: y2016-m09-d20-01-10-27.nc
DOI: 10.18710/bg1qng/xbtqjb
title: y2016-m09-d24-00-26-49.nc
DOI: 10.18710/bg1qng/yxugyu
title: y2016-m09-d23-10-19-48.nc
DOI: 10.18710/iorwf6/11yqcc
title: Ch6_ex048_130906-1_03-15.mp3
DOI: 10.18710/iorwf6/3oibwm
title: Ch7_ex168_RO-170820-1_03-38.mp3
DOI: 10.18710/iorwf6/4igmln
title: Ch7_ex101_130825-3_01-21.wav
DOI: 10.18710/iorwf6/8pb8qw
title: Ch6_ex188_130902-1_02-09.mp3
DOI: 10.18710/iorwf6/9rzc7s
title: Ch6_ex126_130825-6_12-54.mp3
DOI: 10.18710/iorwf6/agjs2i
title: Ch3_ex084b_aijonuus.wav
DOI: 10.18710/iorwf6/aozgbf
title: Ch7_ex065_130825-8_01-00.mp3
DOI: 10.18710/iorwf6/ez7cqn
title: Ch3_ex056a_aam_babaq.wav
DOI: 10.18710/iorwf6/i4fe5v
title: Ch4_Table4-11i_neno_niim.mp3
DOI: 10.18710/iorwf6/khinq0
title: Ch6_ex098_120923-1_00-01.wav
DOI: 10.18710/iorwf6/llkipz
title: Ch3_ex006a_bifee.mp3
DOI: 10.18710/iorwf6/ooinho
title: Ch6_ex053_130905-1_01-18.wav
DOI: 10.18710/iorwf6/ooyax8
title: Ch7_ex173_RO-170820-1_08-24.mp3
DOI: 10.18710/iorwf6/oy5uga
title: Ch7_ex055_130902-1_00-39-00-51.wav
DOI: 10.18710/iorwf6/pdtj53
title: Ch7_ex104_140726_00-00-00-14.wav
DOI: 10.18710/iorwf6/ql2bxn
title: Ch3_ex019b_anreruq.mp3
DOI: 10.18710/iorwf6/rv6xkd
title: Ch6_ex037_130822-1_00-56.wav
DOI: 10.18710/iorwf6/srabzb
title: Ch6_ex171_130821-1_07-13.mp3
DOI: 10.18710/iorwf6/ttppck
title: Ch6_ex047_120715-1_00-44-00-47.mp3
DOI: 10.18710/iorwf6/uxzjqz
title: Ch3_ex009b_ankias.mp3
DOI: 10.18710/iorwf6/uzj3le
title: Ch7_ex082_160326_04-57-05-05.mp3
DOI: 10.18710/iorwf6/wajp6y
title: Ch7_ex059_130907-3_05-13.mp3
DOI: 10.18710/iorwf6/wrrogr
title: Ch7_ex065_130825-8_01-00.wav
DOI: 10.18710/iorwf6/x0iyp8
title: Ch3_ex015c_seo.wav
DOI: 10.18710/pakds9/fjxbyu
title: 15_VSKRIKNUT_VSKRIČAT.tab

description: Annotated corpus examples of the Pref-dyad vskriknut’ - vskričat’ ‘shout suddenly, exclaim’ (XLSX).
DOI: 10.18710/pakds9/ixfd2c
title: 17_ZATOLKNUT_ZATOLKAT.csv

description: Annotated corpus examples of the Pref-dyad zatolknut’ - zatolkat’ ‘push into’ (CSV).
DOI: 10.18710/saiank/3djp3y
title: Oxy.txt
DOI: 10.18710/saiank/bgfddp
title: Energy.tif
DOI: 10.18710/saiank/m2dhxh
title: Melkoya.mat
DOI: 10.18710/xcexj1/09ysji
title: 00_ReadMe_Nutrients.v1.txt

description: ReadMe file to interpret the dataset Nutrients_dataset.v1
DOI: 10.18710/bg1qng/b29cgb
title: y2016-m09-d23-21-30-17.nc
DOI: 10.18710/iorwf6/05uetm
title: Ch3_ex119_160326_10-36.mp3
DOI: 10.18710/iorwf6/1gotmq
title: Ch4_Table4-11j_neon_nimaq.mp3
DOI: 10.18710/iorwf6/9li9d9
title: Ch6_ex103_130907-4_00-36.wav
DOI: 10.18710/iorwf6/ah6m7o
title: Ch6_ex209_130921-1_00-43.wav
DOI: 10.18710/iorwf6/c8ala1
title: Ch7_ex088_130825-8_01-06-01-10.wav
DOI: 10.18710/iorwf6/ee73wz
title: Ch7_ex165_RO-170829-1_14-18.wav
DOI: 10.18710/iorwf6/eisnkt
title: Ch3_page122b_amaf_Roni.wav
DOI: 10.18710/iorwf6/ezs1fy
title: Ch3_ex004b_ooj-ee.wav
DOI: 10.18710/iorwf6/hjr76r
title: Ch3_ex010a_antoit.wav
DOI: 10.18710/iorwf6/hob1s3
title: Ch6_ex115_130823-5_00-26.mp3
DOI: 10.18710/iorwf6/jtjisi
title: Ch6_ex181_120715-4_01-16.wav
DOI: 10.18710/iorwf6/lh1hmn
title: Ch3_ex074c_nqoban.mp3
DOI: 10.18710/iorwf6/oy7ljl
title: Ch3_ex053d_naunuq.mp3
DOI: 10.18710/iorwf6/p23bsg
title: Ch4_Table4-14x_NB_nmoofu.wav
DOI: 10.18710/iorwf6/qik6ds
title: Ch3_ex086c_ate.mp3
DOI: 10.18710/iorwf6/royvy6
title: Ch3_ex006e_nisif.mp3
DOI: 10.18710/iorwf6/tjffpv
title: Ch7_ex176_RO-170917-1_08-16.wav
DOI: 10.18710/iorwf6/tl6nkn
title: Ch7_ex024_120715-4_01-52.wav
DOI: 10.18710/iorwf6/u4f5i0
title: Ch6_ex146_130821-1_04-52.mp3
DOI: 10.18710/iorwf6/u4x4am
title: Ch3_Table3-20c_riuksaen.mp3
DOI: 10.18710/iorwf6/vjvkhu
title: ChA_ex020_130825-6_03-43.wav
DOI: 10.18710/iorwf6/wavend
title: Ch7_ex032_130823-2_00-51-00-59.wav
DOI: 10.18710/iorwf6/wwshk7
title: Ch6_ex001_neno_meseq.mp3
DOI: 10.18710/iorwf6/yinope
title: Ch3_ex024b_natiingg-on.wav
DOI: 10.18710/iorwf6/zzne3i
title: Ch6_ex175_120715-4_02-59.wav
DOI: 10.18710/klqvok/adv43c
title: gtofd_vs_mwfd.ipynb

description: Jupyter Notebook for generating Figure 3 in journal article.
DOI: 10.18710/mcgmqo/y0f2cq
title: Deliberate_Practice_Entrepreneurs.tab
DOI: 10.18710/pakds9
title: Replication Data for: Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian

description: This dataset includes all the data files that were used for the studies in my PhD dissertation "Together and apart: Perfective verbs with a prefix and the semelfactive suffix -nu- in Contemporary Standard Russian" (2019). Most of the files involve data tables with annotated corpus data from the Russian National Corpus (www.ruscorpora.ru). Every tabular data file is available in two formats: .csv and .xlsx. The data files are numbered so that they are shown in the same order as they become relevant in the dissertation, and their contents are described in the ReadMe files with the same number. In addition, the dataset contains the R script and .txt file that was used in order to make the plot in Chapter 2.
description: The dissertation investigates Russian perfective verbs with a prefix and the semelfactive suffix -nu-, such as zaxlopnut’ ‘slam shut’, for the sake of simplicity referred to as “Pref-Nu verbs”. Pref-Nu verbs have received only marginal attention in the scholarly literature, and in the dissertation a main goal is therefore to shed light on their distribution and productivity in Contemporary Standard Russian, as well as the type of verb clusters and semantic classes they represent. A second main goal is to compare the behavior of Pref-Nu verbs with the behavior of perfective verbs that have only one of the two relevant affixes, i.e. only a prefix, such as zaxlopat’ ‘begin to slam’, or only the semelfactive suffix -nu , such as xlopnut’ ‘slam, clap, bang once’. All of these questions are explored with data from the Russian National Corpus (years 1950-2017), and, as a general tendency, Pref-Nu verbs are found to differ from the other two verb types in that they express a single “quantum” of an action that yields some result. The choice between Pref-Nu verbs and other perfectives is furthermore explored through an informant experiment that focuses on cases of near-synonymy between related verbs. The results of the experiment indicate that none of the verbs are fully synonymous, although their semantic differences are often subtle.
DOI: 10.18710/ql1ctr/lsbmow
title: 00_ReadMe_for_data_of_Carricondo_2020_Wolves_at_the_door_Biol_Conserv.txt

description: The ReadMe file.
DOI: 10.18710/xcexj1
title: Replication data for: Interactions between winter and summer herbivory affect spatial and temporal plant nutrient dynamics in tundra grassland communities

description: Data used to answer the question:
To what extent herbivore interactions affect tundra plant-community nutrient levels during the short duration of an alpine/sub-Arctic summer
description: R: A language and environment for statistical computing, 3.6.1
DOI: 10.18710/bg1qng/2ovc97
title: y2016-m09-d20-05-17-24.nc
DOI: 10.18710/bg1qng/7lqvgi
title: y2016-m09-d22-21-23-33.nc
DOI: 10.18710/bg1qng/axbkbx
title: y2016-m09-d21-02-27-43.nc
DOI: 10.18710/bg1qng/c2uzup
title: y2016-m09-d22-19-02-21.nc
DOI: 10.18710/bg1qng/g0330h
title: y2016-m09-d22-15-30-42.nc
DOI: 10.18710/bg1qng/jg6sya
title: y2016-m09-d23-16-12-44.nc
DOI: 10.18710/bg1qng/t6yjoh
title: y2016-m09-d21-06-34-44.nc
DOI: 10.18710/bg1qng/ymgcuz
title: y2016-m09-d23-23-16-12.nc
DOI: 10.18710/bg1qng/ynkq6e
title: y2016-m09-d21-07-45-16.nc
DOI: 10.18710/iorwf6/5jm2gd
title: Ch3_ex006f_sisi.mp3
DOI: 10.18710/iorwf6/awm8k4
title: Ch4_Table4-14m_NB_natseelo.wav
DOI: 10.18710/iorwf6/gblfvu
title: Ch6_ex109_130821-1_04-42.mp3
DOI: 10.18710/iorwf6/hjs45x
title: ChA_ex016_130825-6_17-22.wav
DOI: 10.18710/iorwf6/mwt5ik
title: Ch6_Table6-10f_neon_tenuq.mp3
DOI: 10.18710/iorwf6/n5zagm
title: Ch7_ex167_RO-170824-1_01-46.mp3
DOI: 10.18710/iorwf6/ph8fbd
title: Ch4_Table4-14s_NB_tiinu.mp3
DOI: 10.18710/iorwf6/pkitlw
title: Ch8_ex015_120715-0-00-30-00-35.wav
DOI: 10.18710/iorwf6/uinuul
title: Ch6_ex178_120923-1_12-49.mp3
DOI: 10.18710/klqvok/pkx5jf
title: gto_lr.yaml
DOI: 10.18710/klqvok/rt6cjd
title: JupyterNoteBook_figure4_correlationplot.ipynb

description: Jupyter Notebook with Python code for generating Figure 4 in the journal article.
DOI: 10.18710/lqcny9/zegkbk
title: 03_Individual_level.txt
DOI: 10.18710/mcgmqo/ca7wxm
title: 00_ReadMe_v1.txt
DOI: 10.18710/mteqyp/tonzqx
title: Bokmalsmateriale.txt

description: See ReadMe file for documentation.
DOI: 10.18710/pakds9/ltjpa6
title: 20_ReadMe_ExperimentResults_NuDyads.txt

description: Description the contents in 20_ExperimentResults_NuDyads.
DOI: 10.18710/28srmj/szafpa
title: questionnaire-1.pdf

description: Questionnaire
DOI: 10.18710/iorwf6/4tuo4f
title: Ch3_ex034b_fee.mp3
DOI: 10.18710/iorwf6/ae72b0
title: Ch6_ex172_130821-1_02-46.wav
DOI: 10.18710/iorwf6/i7t0fo
title: Ch7_ex052_130825-6_07-28.wav
DOI: 10.18710/iorwf6/mtbdu5
title: Ch7_ex077_130825-8_01-06-01-13.wav
DOI: 10.18710/iorwf6/pyrels
title: Ch3_ex016_130928-1_02-09.mp3
DOI: 10.18710/iorwf6/qka5k5
title: Ch7_ex106_130825-3_02-35.mp3
DOI: 10.18710/iorwf6/rzp4bc
title: Ch3_ex035d_fauk.mp3
DOI: 10.18710/iorwf6/xu8gru
title: Ch7_ex053_130902-1_04-32.mp3
DOI: 10.18710/klqvok/baaeua
title: 000_README.txt
DOI: 10.18710/l7go8t/idg9ip
title: 07_Anguilla_anguilla_predicted_cds_additional_annotations.txt

description: Tabular annotation data per predicted gene
DOI: 10.18710/mteqyp/h4x7pj
title: Kjeldeoversyn_nynorsk.ods

description: See ReadMe file for documentation.
DOI: 10.18710/pakds9/owaqjx
title: 21_PlotData.txt

description: Dataset used to make the plot in Section 2.4 (shows connection between cluster size, token frequency of verb and semantic class).
DOI: 10.18710/pakds9/q07eo4
title: 09_PERELISTNUT_PERELISTAT.tab

description: Annotated corpus examples of the Pref-dyad perelistnut’ - perelistat’ ‘flip page(s)’ (XLSX).
DOI: 10.18710/pakds9/upcahm
title: 03_Participles_Homonymy.csv

description: Annotated corpus examples of homonymous forms like tronut thatis a short past passive participle masculine form in the meaning ‘be touched’ or 3 person plural non-past form in the meaning ‘(they) will touch’ (CSV).
DOI: 10.18710/pakds9/v7h4nb
title: 00_README.txt

description: Description of the contents of all the files in the data set.
DOI: 10.18710/pakds9/zu7p34
title: 21_PlotScript.R

description: R script used to make the plot in Section 2.4.
DOI: 10.18710/pakds9/zygcsb
title: 17_ZATOLKNUT_ZATOLKAT.tab

description: Annotated corpus examples of the Pref-dyad zatolknut’ - zatolkat’ ‘push into’ (XLSX).
DOI: 10.18710/saiank/1kcfxe
title: Conditions.tif
DOI: 10.18710/saiank/kfhtm5
title: Pump_Power.txt
DOI: 10.18710/saiank/switlo
title: Profiles10%.fig
DOI: 10.18710/saiank/wqqpwc
title: SSTdata.mat
DOI: 10.18710/saiank/wrx81h
title: 00_Readme.txt
DOI: 10.18710/saiank/xftwiq
title: ResultsProfilesTemp_Case3.txt
DOI: 10.18710/ssa38j/uwzzoi
title: TestImages.zip

description: Zipped archive containing the test images of the dataset in .PNG format. The class of the image is included in the image title.
DOI: 10.18710/abruww/6cun8f
title: 05_3_NINA-1_Financing_Regional_Health_Authority(EN_NO).pdf

description: Financing for PhD position for Arne Skulberg supervised by Prof. Ola Dale and main funding for NINA-1
DOI: 10.18710/aqbbui/lni7qr
title: qmigrant_questionnaire_ar.txt

description: QMigrant question and response set, Arabic version
DOI: 10.18710/bg1qng/spdjp7
title: y2016-m09-d23-12-40-54.nc
DOI: 10.18710/bg1qng/uwbdfh
title: 00_ReadMe.pdf
DOI: 10.18710/i6fb4n/irnwrd
title: LGW7_T2233_OUTPUT.txt

description: Experiment LGW7
DOI: 10.18710/i6fb4n/nxo1fj
title: LGW8_T2250_OUTPUT.txt

description: Experiment LGW8
DOI: 10.18710/iorwf6/6jwldl
title: Ch3_ex075e_neuk.mp3
DOI: 10.18710/iorwf6/6nrz14
title: Ch3_ex084d_naijeer.mp3
DOI: 10.18710/iorwf6/7hjdgb
title: Ch3_Table3-20a_paumakaq.mp3
DOI: 10.18710/iorwf6/gorovu
title: Ch7_ex166_RO-170827-1_03-09.mp3
DOI: 10.18710/iorwf6/i28pl7
title: Ch7_ex108_120715-0-00-51-00-58.mp3
DOI: 10.18710/iorwf6/oyhfis
title: Ch5_ex056f_KP_neenb-aa_tuunn-aa_2.wav
DOI: 10.18710/iorwf6/x8zn4l
title: Ch7_ex142_120715-2_00-01.mp3