cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/iorwf6/bhbga5
title: Ch7_ex045_130823-5_00-42.wav
DOI: 10.18710/iorwf6/bye9cr
title: Ch3_ex053c_nautus.mp3
DOI: 10.18710/iorwf6/dzcroj
title: Ch6_ex059_120923-1_00-53-00-55.mp3
DOI: 10.18710/iorwf6/etdy37
title: Ch3_ex005a_kreej-ee.mp3
DOI: 10.18710/iorwf6/mrp8si
title: Ch6_ex161_130909-6_01-26.mp3
DOI: 10.18710/iorwf6/nsnouc
title: Ch3_ex056c_hau_noqo.wav
DOI: 10.18710/iorwf6/o7i6lw
title: Ch7_ex079_130909-6_02-20.wav
DOI: 10.18710/iorwf6/qbu9e4
title: Ch6_ex028_120923-1_07-15.wav
DOI: 10.18710/iorwf6/r9qxhz
title: Ch3_ex011e_tuuf.mp3
DOI: 10.18710/iorwf6/sn6uao
title: Ch7_ex067_160326_17-41.mp3
DOI: 10.18710/iorwf6/tk5dgl
title: Ch6_ex083_120715-2_00-37.wav
DOI: 10.18710/iorwf6/urvwpk
title: Ch6_ex166_130902-1_00-51.wav
DOI: 10.18710/iorwf6/z18kmo
title: Ch6_ex066_130821-1_06-03.mp3
DOI: 10.18710/klqvok/bpfk0t
title: DataSet_hg_data.yaml

description: Python-readable file containing GTO polarizabilities computed with finite differences. These data were not generated by the authors of this Dataverse entry, but obtained from the Supporting Information from Hait and Head-Gordon's polarizability benchmark (DOI: 10.1039/c8cp03569e).
DOI: 10.18710/loiwiu/wrmukv
title: 00_ReadMe_GNSS.txt

description: ReadMe
DOI: 10.18710/mp1jf6
title: Replication data for: Windmills, Nizaa and the typology of binominal compounds

description: This data set consists of 500+ nominal compounds from the African language Nizaa (sgi; Niger-Congo, Cameroon). It is based on an unpublished word list collected by Rolf Theil (
&lt;I&gt;genannt&lt;/I&gt; Endresen) of the University of Oslo in the 1980s. Each compound and its constituents are glossed and annotated for word class, and 201 transparent noun-noun compounds are annotated for head position and semantic relation. The data set was originally prepared for the author's 2010 MA dissertation, which sought to explain the presence of both left-headed and right-headed nominal compounds in Nizaa. It was updated and revised in conjunction with the publication of his 2016 article &lt;
I&gt;Windmills, Nizaa and the typology of binominal compounds&lt;/I&gt;.
DOI: 10.18710/p9reav
title: Replication data for: Old Church Slavonic byti Part One and Part Two

description: Abstract Part One. There is controversy over whether byti ‘be’ in Old Church Slavonic functioned as an imperfective verb with an unusually large number of inflected forms or as an aspectual pair of verbs, reflecting its suppletive origin from two stems (es- and bū-). We offer an objective empirical approach to the status of this verb, using statistical analysis of 2,428 attestations of byti in comparison with 9,694 attestations of 129 other verbs. This makes it possible to accurately locate byti in the context of the verbal lexicon of Old Church Slavonic. The comparison is made via grammatical profiles, a method that examines the frequency distribution of each verb’s inflected forms. This comparison is undertaken in two rounds, one assuming that byti is a single verb, and the other assuming that it is a pair of verbs. Both assumptions yield reasonable results, and although the grammatical profile analyses do not suffice to solve the controversy, they lay the groundwork for further analysis in Part Two that argues for a single-verb interpretation of byti. Data and R Scripts Part One: The Dat
a Our analysis uses two datasets, one that presents the forms of byti as a single paradigm, verbs.csv, and one that presents it as a pair of verbs, splitverbs.csv. The R Scripts In order to represent the Church Slavonic orthography, you will need our transliteration script: translit.r. This script is sourced by the scripts for our analysis which present byti as either a single verb or a verb pair: PartOneSingleVerb.r and PartOneVerbPair.r . This script performs all of the steps for the analysis in our article and generates the plots.
description: Abstract Part Two: The verb byti ‘be’ in Old Church Slavonic appears in an unusually rich inventory of grammatical constructions that it appears in. We analyze corpus data on the distribution of constructions in order to assess the status of this verb as either a single verb or an aspectual pair of verbs. Our study moves beyond a strict structuralist interpretation of the behavior of byti, instead recognizing the real variation and ambiguity in the data. Our findings make both theoretical and descriptive advances. The radial category structure is a central tenet of cognitive linguistics, but until now such structures have usually been posited by researchers based on their qualitative insights from data. We show that it is possible to identify both the nodes and the structure of a radial category statistically, using only linguistic data as input. We provide an enhanced description of byti that clearly distinguishes between core uses and those that are more peripheral and shows the relationships among them. While we find some evidence in support of an aspectual pair, most evidence points instead toward a single verb. Data and R Script Part Two: The Data The dataset used in this analysis is frames.csv. The R Script The R script used in this analysis is PartTwo.r.
DOI: 10.18710/qeofpy/k9tui7
title: raw_data_download.r

description: R script to download Flickr data for the Arctic
DOI: 10.18710/3ynho7
title: Aspect and prefixation in Old Church Slavonic

description: In this article we focus on one grammaticalization path to perfective markers, that of the so-called "bounder perfectives" (Bybee and Dahl 1989). Systems with this kind of perfective markers - often called "Slavic-style aspect" -- are particular elaborated in the Slavic languages. To examine why this is the case, we study the long-disputed question of the semantic relationship between the inflectional aspectual system inherited from PIE and the emerging affixation-based verb pair system in expressing aspect in Old Church Slavonic (OCS), using parallel Greek and OCS data from the PROIEL corpus. Previous researchers have made extremely conflicting claims about this relationship, some seeing the inflectional system as the main exponent of aspect, others seeing the affixation system as the main exponent of aspect. Our statistical study of the data shows rather that the OCS system attests an interesting language stage where there are two partially overlapping exponents of aspect. By firmly establishing the facts of the synchronic OCS system, we can look both backwards and forwards. We argue that Slavic "bounder perfectives" owe their advanced development to their coexistence with the old inflectional aspect system. We also argue that the well-known interactions between the two aspectual systems in Bulgarian, which still retains both, are probably a later development.
DOI: 10.18710/iocdru
title: Replication data for: V-temporal adverbials in Slavic

description: The database includes 271 Russian examples and their equivalents in Ukrainian, Belarusian, Polish and Czech. The data were culled from the ParaSol parallel corpus (see http://parasol.unibe.ch/).
description: Publication abstract: This article presents a corpus-based investigation of temporal adverbials with special focus on Russian v ‘in(to)’ and its cognates in North Slavic (Belarusian, Ukrainian, Polish and Czech). We advance the Constraint Hypothesis, according to which case government is more restricted in the domain of time than in the domain of space. This hypothesis receives support from the five languages under scrutiny insofar as the distribution of the accusative vs. locative after v and its cognates is contrastive in the domain of space, but complementary in temporal adverbials. On this basis, we argue that the relationship between space and time is asymmetrical. Although all five languages display space-time asymmetries, we show that they have different systems of temporal adverbials, including a number of constructions with prepositions or bare cases. In order to capture the differences we propose a North Slavic Temporal Adverbial Continuum, which is corroborated by a thorough statistical investigation of data from the ParaSol corpus.
DOI: 10.18710/iorwf6/suckmo
title: Ch6_ex106_130902-1_01-34.mp3
DOI: 10.18710/loiwiu/bvvj00
title: 20141130_KHO_REDTEC_glo.txt
DOI: 10.18710/ghhunu/hw0utc
title: st63preisach.083
DOI: 10.18710/ghhunu/nlphaw
title: st63preisach.054
DOI: 10.18710/iorwf6/1sy3y3
title: Ch3_ex110b_hiit_tmese.mp3
DOI: 10.18710/iorwf6/2w5sfj
title: Ch3_ex084a_aijoqo.mp3
DOI: 10.18710/iorwf6/3xx8g6
title: Ch4_Table4-14u_NB_teenu.mp3
DOI: 10.18710/iorwf6/46colp
title: Ch6_Table6-10d_neon_nuaq.mp3
DOI: 10.18710/iorwf6/57ylhy
title: Ch3_page108a_hau.mp3
DOI: 10.18710/iorwf6/6youiy
title: Ch5_ex056a_KP_hiti_kmiij-ia.mp3
DOI: 10.18710/iorwf6/7oe4h4
title: Ch6_ex038_130825-7_00-38.wav
DOI: 10.18710/iorwf6/7rdi5m
title: Ch4_Table4-11j_neon_nimaq.wav
DOI: 10.18710/iorwf6/7v1omx
title: Ch3_ex074b_nqain.wav
DOI: 10.18710/iorwf6/8rljmp
title: ChA_ex033_RO-170819-1_02-51.wav
DOI: 10.18710/iorwf6/bmyhwl
title: Ch7_ex068_130914-3_00-23.wav
DOI: 10.18710/iorwf6/crlg6a
title: Ch5_ex036_130902-1_03-28.mp3
DOI: 10.18710/iorwf6/dfjxy6
title: Ch6_ex028_120923-1_07-15.mp3
DOI: 10.18710/iorwf6/eajmh7
title: Ch3_page122e_nqain_Roni.wav
DOI: 10.18710/iorwf6/eh5ppj
title: Ch7_ex028_130823-2_00-00.mp3
DOI: 10.18710/iorwf6/exyku2
title: Ch7_ex057_130902-1_03-23-03-34.mp3
DOI: 10.18710/iorwf6/ezkvmd
title: Ch4_ex055_RO-170830-1_06-54.mp3
DOI: 10.18710/iorwf6/fa8b7k
title: Ch7_ex068_130914-3_00-23.mp3
DOI: 10.18710/iorwf6/fonx6w
title: Ch3_ex008a_nmurai.wav
DOI: 10.18710/iorwf6/h919tv
title: Ch6_ex100_130825-6_11-35.mp3
DOI: 10.18710/iorwf6/ijiesp
title: Ch3_ex019a_anrooq.mp3
DOI: 10.18710/iorwf6/jefwls
title: Ch6_ex141_130906-1_02-48.wav
DOI: 10.18710/iorwf6/jlrz3y
title: Ch7_ex007_130920-1_00-22.wav
DOI: 10.18710/iorwf6/kqwonb
title: Ch6_ex063_130926-1_00-45.mp3
DOI: 10.18710/iorwf6/m41gmp
title: Ch3_ex099_RO-170830-1_04-26.mp3
DOI: 10.18710/iorwf6/nskefc
title: Ch3_ex011c_haa.wav
DOI: 10.18710/iorwf6/pqzlls
title: Ch3_page112a_ataqraqe.mp3
DOI: 10.18710/iorwf6/puancf
title: Ch6_ex180_130914-3_01-06.mp3
DOI: 10.18710/iorwf6/qo34ba
title: Ch7_ex101_130825-3_01-21.mp3
DOI: 10.18710/iorwf6/tyr9pi
title: Ch7_ex032_130823-2_00-51-00-59.mp3
DOI: 10.18710/iorwf6/u3f5qz
title: Ch6_Table6-10b_neon_meseq.mp3
DOI: 10.18710/iorwf6/ucu9uw
title: Ch4_Table4-14c_NB_namnaasi_2.wav
DOI: 10.18710/iorwf6/uj44pl
title: Ch6_ex065_130907-3_01-23.mp3
DOI: 10.18710/iorwf6/ukw3dp
title: Ch6_ex046_130823-2_00-49.mp3
DOI: 10.18710/iorwf6/xqbizp
title: Ch7_ex082_160326_04-57-05-05.wav
DOI: 10.18710/iorwf6/yswdr2
title: Ch6_ex213_120923-1_06-59.mp3
DOI: 10.18710/iorwf6/z2cvym
title: Ch3_ex036c_ansaof.mp3
DOI: 10.18710/klqvok/a6dvb1
title: JupyterNotebook_figureS2_mwfd_vs_mwlr_pbe.ipynb

description: Jupyter Notebook with Python3 code for generating Figure S1 in the journal article's Supporting Information PDF.
DOI: 10.18710/klqvok/mibeyd
title: functions.py

description: Function definitions used in the data analysis presented in the Jupyter Notebook. This file is absolutely necessary for the notebooks to run without errors.
DOI: 10.18710/klqvok/rvufbv
title: JupyterNotebook_table1_make_species_table.ipynb

description: Jupyter Notebook with Python3 code for generating Table 1 in the journal article. Note that the molecular formulas are generated in upper case.
DOI: 10.18710/vgqylq
title: Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard

description: &lt;p&gt;Data are the basis for the publication "Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard" by Silyakova and co-authors. It was prepared at CAGE, Centre for Arctic Gas Hydrate, Environment and Climate, Department of Geoscienses, UiT Arctic University of Tromsø. The paper is published in Continental Shelf Research journal, and cited as:&lt;/p&gt;
&lt;p&gt;Silyakova, A., Jansson, P., Serov, P., Ferré, B., Pavlov, A. K., Hattermann, T., ... & Niemann, H. (2020). Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard. Continental Shelf Research, 104030. https://doi.org/10.1016/j.csr.2019.104030&lt;/p&gt;
&lt;p&gt;There are three major folders with data: 1. Bathymetry; 2. Flares; 3. Dataset.
Each folder content and structure are found in README file (README_bathymetry.txt; README_dataset.txt, README_flares.txt).&lt;/p&gt;
&lt;p&gt;All data files inside the folders are text .txt files.&lt;/p&gt;
&lt;p&gt;This study is funded by CAGE (Centre for Arctic Gas Hydrate, Environment and Climate), Norwegian Research Council grant no. 223259.&lt;/p&gt;
DOI: 10.18710/zam96s/3dlqb5
title: README_nom_ins_construction.txt

description: Documentation of the two files containing the database
DOI: 10.18710/iorwf6/c4exdb
title: Ch6_ex123_130906-1_03-23.wav
DOI: 10.18710/iorwf6/coe5wl
title: Ch3_ex104_130905-1_00-34.wav
DOI: 10.18710/iorwf6/dv7kyp
title: Ch7_ex146_130909-6_02-42-02-45.mp3
DOI: 10.18710/iorwf6/eggegv
title: Ch6_ex228_neon_meseq.mp3
DOI: 10.18710/iorwf6/ezbgyd
title: Ch4_Table4-11k_neno_nee.wav
DOI: 10.18710/iorwf6/heuqqv
title: Ch3_Table3-19a_mahataq.mp3
DOI: 10.18710/iorwf6/iokxjs
title: Ch4_Table4-14r_NB_hiitu.mp3
DOI: 10.18710/iorwf6/kadzxj
title: Ch7_ex081_120923-1_06-56-06-59.mp3
DOI: 10.18710/iorwf6/kdxzsq
title: Ch7_ex158_RO-170830-4_04-03.wav
DOI: 10.18710/iorwf6/qqxp0c
title: Ch8_ex018_120923-2_01-39.mp3
DOI: 10.18710/iorwf6/scpk6f
title: Ch3_ex005d_noopgw-ee.mp3
DOI: 10.18710/iorwf6/ta7rh4
title: Ch3_ex056f_oe_mninuq.mp3
DOI: 10.18710/iorwf6/uhmxf3
title: Ch3_ex015e_oe.mp3
DOI: 10.18710/iorwf6/vneo1m
title: Ch3_ex122_boq_nua-m_meseq.wav
DOI: 10.18710/iorwf6/xaypqp
title: Ch6_ex059_120923-1_00-53-00-55.wav
DOI: 10.18710/iorwf6/zh8kiq
title: Ch4_Table4-11f_neon_tenuq.wav
DOI: 10.18710/loiwiu/k8uvev
title: 20141130_BJN_REDTEC_gps.txt
DOI: 10.18710/ojc4th
title: Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

description: This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article:
How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?
DOI: 10.18710/2nkjpg
title: Replication data for: Slangs go online, or the rise and fall of the Olbanian language

description: All the data were taken from the website udaff.com (the center of the padonki culture and one of the cradles of the Olbanian language), from the section kreativy ('creative stories') where users upload their own short stories. This is one of the oldest and most important sections on the website, and its name is a symbol of padonki culture. It was chosen as the largest and most diachronically representative collection of texts a) with a large number of erratic spellings; b) written by people who identify themselves as padonki, i.e."native speakers" of Olbanian. Texts were selected from 975 webpages covering the time period from January 2001 to December 2011. One text was selected randomly from each page (each page contained 50 texts), and a random fragment of 100 words was extracted for analysis. If a text was for some reason not suitable for analysis (e.g. it was shorter than 100 words), another random text was selected. This resulted in 975 100-word fragments produced by 729 authors (156 authors produced more than one text, the largest number of texts per author was nine, the mean was 1.34). No adjustment was made for the fact that some authors had more than one fragment included in the sample: while this gives their idiolect additional chances to contribute to the observed variation, that must mirror the actual situation. For every word, it was noted how many deviations from the norm it contained. All kinds of deviations were counted, and not all of them are strictly Olbanian. However, the analysis of distribution of deviations a
cross different types shows that the number of indisputably non-Olbanian deviations is relatively small and constant and does not distort the general picture.
DOI: 10.18710/5ms1jk/5vqzzz
title: 00_Read_me.txt

description: Instructions
DOI: 10.18710/ghhunu/232lvm
title: st63preisach.060
DOI: 10.18710/ghhunu/2o3b4k
title: st63preisach.014
DOI: 10.18710/ghhunu/4n42w3
title: st63preisach.089
DOI: 10.18710/ghhunu/7febrp
title: st63preisach.003
DOI: 10.18710/ghhunu/dznb9u
title: st63preisach.027
DOI: 10.18710/ghhunu/igrflw
title: st63preisach.093
DOI: 10.18710/ghhunu/lcrqbn
title: st63preisach.082
DOI: 10.18710/ghhunu/mcdzdv
title: st63preisach.017
DOI: 10.18710/ghhunu/mffpha
title: g4w.pat
DOI: 10.18710/ghhunu/okjnio
title: st63preisach.055
DOI: 10.18710/ghhunu/w2ygie
title: st63preisach.059
DOI: 10.18710/ghhunu/wqo8xf
title: st63preisach.070
DOI: 10.18710/i6bd3r/a0mfbd
title: 01_N2O_CH4_2016.txt
DOI: 10.18710/iorwf6/88invx
title: Ch6_ex136_130825-8_01-41.wav
DOI: 10.18710/iorwf6/90b1vx
title: Ch3_ex033_kaunaq.mp3
DOI: 10.18710/iorwf6/bbhwtk
title: Ch3_ex037a_oe-kmii.wav
DOI: 10.18710/iorwf6/bexpri
title: Ch6_ex094_130825-6_07-34.mp3
DOI: 10.18710/iorwf6/dii8fg
title: Ch3_Table3-12b_anhaek.mp3
DOI: 10.18710/iorwf6/ewvqwe
title: Ch3_ex005c_meepgw-ee.mp3
DOI: 10.18710/iorwf6/illfh5
title: Ch4_Table4-14a_NB_nmaani.mp3
DOI: 10.18710/iorwf6/iqeoki
title: Ch1_ex007_120715-4_00-55.mp3
DOI: 10.18710/iorwf6/kbk768
title: Ch7_ex024_120715-4_01-52.mp3
DOI: 10.18710/iorwf6/l92wga
title: Ch3_ex110b_hiit_tmese.wav
DOI: 10.18710/iorwf6/md0dlj
title: ChA_ex030_RO-170829-1_00-51.wav
DOI: 10.18710/iorwf6/mejqgu
title: Ch6_ex212_130913-1_02-30.wav
DOI: 10.18710/iorwf6/n1vymb
title: Ch3_ex015e_oe.wav
DOI: 10.18710/iorwf6/ozakzr
title: Ch3_ex103_130825-6_08-44.mp3
DOI: 10.18710/iorwf6/qbkihk
title: Ch5_ex056c_KP_uukj-ia.mp3
DOI: 10.18710/iorwf6/r08yqe
title: Ch3_ex003b_kreni.mp3
DOI: 10.18710/owkabr/mapaib
title: pointmodel.py
DOI: 10.18710/qeofpy/hwixa2
title: Flickr_spatialoverlaps_for_gams.r

description: R script to create hexagonal grids, spatial overlap grid with accessibility and protected area shapefiles to estimate coverage in each grid cell. Spatial overlap of each grid cell with Flickr data.
DOI: 10.18710/qeofpy/z1ctkw
title: Arctic_Flickr_nphotos_byyearseason.tab

description: Data on the number of photos contributed to Flickr globally and in the Arctic between 2004 and 2017.
DOI: 10.18710/iorwf6/6t9nnn
title: Ch3_ex025_130902-1_04-23.mp3
DOI: 10.18710/iorwf6/94z2oj
title: Ch3_ex100_RO-170829-1_19-03.mp3
DOI: 10.18710/iorwf6/b8a1oa
title: Ch3_ex024a_nakneeqg-on.mp3
DOI: 10.18710/iorwf6/dzecpe
title: Ch6_ex131_130925-1_03-21.mp3
DOI: 10.18710/iorwf6/es9g7m
title: Ch3_ex131_130913-1_00-35.mp3
DOI: 10.18710/iorwf6/iugp8w
title: Ch6_ex125_130825-6_11-21.mp3
DOI: 10.18710/iorwf6/lmrqcy
title: Ch4_Table4-11g_neno_haa.wav
DOI: 10.18710/iorwf6/nb8uow
title: Ch6_ex060_130921-1_01-35.mp3
DOI: 10.18710/iorwf6/ttylpn
title: Ch3_ex128_120715-1_01-14.mp3
DOI: 10.18710/iorwf6/vjbk9b
title: Ch6_ex064_130920-1_04-20.wav
DOI: 10.18710/iorwf6/vlag5d
title: Ch3_ex019c_qmuik_sumririq.wav
DOI: 10.18710/iorwf6/ygb0l1
title: ChC_C4_130911-2.mp3
DOI: 10.18710/5ms1jk/abpgpn
title: 04_Data_university_tool_solution.txt

description: Data
DOI: 10.18710/ghhunu/31fcdd
title: st63preisach.006
DOI: 10.18710/ghhunu/92uu36
title: st63preisach.097
DOI: 10.18710/ghhunu/gduyuf
title: st63preisach.012
DOI: 10.18710/ghhunu/hx5ir7
title: st63preisach.038
DOI: 10.18710/ghhunu/qpdevq
title: st63preisach.030
DOI: 10.18710/ghhunu/sxxdfd
title: st63preisach.053
DOI: 10.18710/ghhunu/tpa6sz
title: st63preisach.032
DOI: 10.18710/ghhunu/xv0jb2
title: st63preisach.025
DOI: 10.18710/ghhunu/yi99m9
title: st63preisach.009
DOI: 10.18710/iorwf6/0t2g5f
title: Ch6_ex147_130825-6_12-10-12-13.mp3
DOI: 10.18710/iorwf6/39qwfy
title: Ch6_ex145_130920-1_00-45.mp3
DOI: 10.18710/iorwf6/4lpmm1
title: Ch7_ex170_RO-170902-1_02-04.wav
DOI: 10.18710/iorwf6/51su5p
title: Ch7_ex135_130825-7_03-30-03-40.mp3
DOI: 10.18710/iorwf6/6sxa9x
title: ChC_C5_RO-170901-1.wav
DOI: 10.18710/iorwf6/a1zzuy
title: Ch6_ex194_130825-6_21-14.mp3
DOI: 10.18710/iorwf6/fcurr0
title: Ch3_ex002c_koqu.wav
DOI: 10.18710/iorwf6/fhifp5
title: Ch3_page122f_ainaf_Roni.wav
DOI: 10.18710/iorwf6/gqbmgf
title: Ch7_ex100_130825-6_09-12-09-14.mp3
DOI: 10.18710/iorwf6/oefudl
title: Ch7_ex143_120715-3_00-07.mp3
DOI: 10.18710/iorwf6/oyc0hs
title: Ch3_ex126_130821-1_07-20.wav
DOI: 10.18710/iorwf6/vcmzfb
title: Ch6_ex204_130825-7_02-29.mp3
DOI: 10.18710/iorwf6/x4d7rf
title: Ch6_ex227_neno_meseq.mp3
DOI: 10.18710/iorwf6/yuna8m
title: Ch3_ex038e_teun.mp3
DOI: 10.18710/klqvok/asc8qp
title: JupyterNotebook_figureS1_mwfd_vs_mwlr_lda.ipynb

description: Jupyter Notebook with Python3 code for generating Figure S1 in the journal article's Supporting Information PDF.
DOI: 10.18710/owkabr/q3gomb
title: pc.py
DOI: 10.18710/qeofpy/pq8qa1
title: Flickr_PUDper100kmcell_winter.tif

description: Raster of tourism intensity in Arctic winter at 100km resolution
DOI: 10.18710/ghhunu/ou7yr9
title: st63preisach.048
DOI: 10.18710/ghhunu/yki5fn
title: st63preisach.068
DOI: 10.18710/hxujqw
title: Replication data for: The stress of Russian nouns in -ик and -ица

description: Annotated List of nouns in -ица.
DOI: 10.18710/iorwf6/23p3fw
title: Ch3_ex015a_riuksaen.mp3
DOI: 10.18710/iorwf6/9jimif
title: Ch7_ex076_130928-1_00-02-00-11.wav
DOI: 10.18710/iorwf6/fdoqjf
title: Ch4_Table4-11f_neon_tenuq.mp3
DOI: 10.18710/iorwf6/ljrbnc
title: Ch3_Table3-13f_anin.wav
DOI: 10.18710/iorwf6/oazl96
title: Ch7_ex137_130909-6_01-12-01-26.mp3
DOI: 10.18710/iorwf6/rexdlz
title: Ch7_ex070_160326_16-14.mp3
DOI: 10.18710/iorwf6/sn8fiv
title: Ch3_ex009a_ankius.wav
DOI: 10.18710/iorwf6/uoctvh
title: Ch3_ex018c_rekaq.mp3
DOI: 10.18710/iorwf6/uuwl28
title: Ch6_ex093_130914-3_01-51.mp3
DOI: 10.18710/iorwf6/zyuufi
title: Ch6_ex146_130821-1_04-52.wav
DOI: 10.18710/owkabr
title: Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

description: Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model.

The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two.

Both Monte Carlo simulations and polynomial chaos expansions are implemented.
description: Python, 3.6
DOI: 10.18710/qeofpy/gxd2du
title: GAM_footprint.r

description: R script to calculate Arctic tourism footprint and make tables & figures for manuscript.
DOI: 10.18710/yriq2v/xwckuf
title: README_DataVerbSubst2019_4.txt

description: Documentation of database
DOI: 10.18710/ghhunu/38foco
title: st63preisach.045
DOI: 10.18710/ghhunu/9mimew
title: st63preisach.080
DOI: 10.18710/ghhunu/vacegp
title: externalfielddirections.tab
DOI: 10.18710/iorwf6/1holx2
title: Ch3_page122b_amaf_Roni.mp3
DOI: 10.18710/iorwf6/5q7jxr
title: Ch3_ex026_130902-1_02-59.mp3
DOI: 10.18710/iorwf6/5zvxnq
title: Ch3_ex003d_tainonus.mp3
DOI: 10.18710/iorwf6/6cfsb6
title: Ch5_ex056d_KP_oob-oa.wav
DOI: 10.18710/iorwf6/a1qjym
title: Ch6_ex036_130825-6_02-06-02-09.mp3
DOI: 10.18710/iorwf6/af06lh
title: Ch6_ex085_130821-1_01-18.wav
DOI: 10.18710/iorwf6/c1j0vl
title: Ch6_ex199_130913-1_02-43.wav
DOI: 10.18710/iorwf6/eta2wl
title: Ch3_ex007b_nautus.mp3
DOI: 10.18710/iorwf6/gtlfa9
title: Ch6_ex159_130909-6_00-39.mp3
DOI: 10.18710/iorwf6/gufjhk
title: Ch7_ex045_130823-5_00-42.mp3
DOI: 10.18710/iorwf6/ixbyco
title: Ch3_page108a_hau.wav
DOI: 10.18710/iorwf6/jdswna
title: Ch3_ex037a_oe-kmii.mp3
DOI: 10.18710/iorwf6/kmxled
title: Ch7_ex141_120923-1_08-51-08-59.wav
DOI: 10.18710/iorwf6/m4cuf5
title: Ch6_ex098_120923-1_00-01.mp3
DOI: 10.18710/iorwf6/o4aziy
title: Ch6_ex055_130925-1_01-24.mp3
DOI: 10.18710/iorwf6/oiuens
title: Ch4_Table4-14q_NB_ttooko.mp3
DOI: 10.18710/iorwf6/vb4ctt
title: Ch4_Table4-11h_neon_haaq.mp3
DOI: 10.18710/iorwf6/vv5g2y
title: Ch8_ex020_090524_00-36.mp3
DOI: 10.18710/klqvok/yyewa3
title: JupyterNotebook_figure1_summary.ipynb

description: Jupyter Notebook with Python3 code for generating Figure 1 in the journal article.
DOI: 10.18710/qeofpy/gp9ld3
title: Flickr_PUDper100kmcell_summer.tif

description: Raster of tourism intensity in Arctic summer at 100km resolution
DOI: 10.18710/qeofpy/hm3nb4
title: 00_Readme.txt

description: Contains descriptions of data files and column headers