cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/6pwrxo/ttrnux
title: 20200118_KHO_REDTEC_gps.txt
DOI: 10.18710/ed8hsd/xhctwt
title: results-5-1000.Rdata

description: An R data file with all the performance metrics obtained by R/PoC.results.SIMULATED.R.
DOI: 10.18710/gmqen7/62qoau
title: 01_ReadMeFile.txt
DOI: 10.18710/gmqen7/m9ubsm
title: TGO_Ramfjordmoen_ionosonde_data_2020-07.SAO.zip
DOI: 10.18710/gmqen7/wqwuow
title: TGO_Ramfjordmoen_ionosonde_data_2020-07.PNG.zip
DOI: 10.18710/ig0mmh/gdsxlo
title: 02_Lichen_phenols.txt

description: includes abundance data and concentration of phenolic compolunds in lichens
DOI: 10.18710/mtpr9e/lfrrru
title: 18S_TOB5_R1_All.fastq.gz
DOI: 10.18710/ohpupu/ofeb5p
title: Ch4data.csv

description: The Russian verb gruzit’ ‘load’ is special for three reasons. First, this verb has two syntactic constructions it can appear in, second it has three Natural Perfectives, and third all three Natural Perfectives can also use both constructions. The two constructions that gruzit’ ‘load’ can appear in are called the “theme-object” construction and the “goal-object” construction. The names of the constructions come from the direct object that is marked with the accusative case. Let’s say that we have some boxes that we want to transport and a cart that we can use for this purpose. The boxes are the theme (the item that is put somewhere) and the cart is the goal (the place where the item is put). In the theme-object construction the theme is the direct object, as in грузить/gruzit’ ящики на телегу ‘load the boxes onto the cart’. The goal appears in a prepositional phrase in the theme-object construction, usually with the preposition на ‘onto’ or в ‘into’. In the goal-object construction the goal is the direct object, as in грузить/gruzit’ телегу ящиками ‘load the cart with boxes’. The theme in the goal-object construction often appears in the instrumental case as in our example: ящиками ‘with boxes’. Грузить/gruzit’ ‘load’ uses not just one, but three prefixes to form Natural Perfectives: na-, za-, and po-. Collectively we call these four verbs (the simplex and the three Natural Perfectives) “the ‘load’ verbs”. All three Natural Perfectives can appear in both the theme-object and the goal-object constructions. Chapter 4 explores whether the choice of prefix makes a difference in the distribution of the theme-object and goal-object constructions. The database: There are 1920 lines of data, each corresponding to one of the examples extracted from the Russian National Corpus. This file does not contain the actual examples, but rather just the relevant data on each variable for each example. If you open the .csv file, you will see that there are four columns, corresponding to our four variables: CONSTRUCTION: This is our dependent variable, and it has two values, theme, and goal. VERB: This is an independent variable, and it has four values, _zero (for the unprefixed verb грузить|gruzit’ ‘load’), na, za, and po (for the three prefixed variants). REDUCED: This is an independent variable, and it has two values, yes and no. This refers to whether the construction was reduced (yes) or full (no). PARTICIPLE: This is an independent variable, and it has two values, yes and no. This refers to whether the construction was passive (yes) or active (no).
DOI: 10.18710/pigssk/94xfc2
title: 20200916_BJN_REDTEC_gal.txt
DOI: 10.18710/pigssk/f3bymr
title: 20200602_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/kwweqg
title: 20200307_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/snsas8
title: 20200618_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/t7n3ul
title: 20200426_BJN_REDTEC_glo.txt
DOI: 10.18710/pigssk/tedzzr
title: 20200604_BJN_REDTEC_glo.txt
DOI: 10.18710/pigssk/tmcz5a
title: 20200328_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/wpljgs
title: 20200604_BJN_REDTEC_gal.txt
DOI: 10.18710/q4dirk/7ayg1y
title: 00_ReadMe.txt
DOI: 10.18710/q4dirk/keiu2b
title: a_ 51.20_ 0.34-Fxye_all.svg
DOI: 10.18710/q4dirk/qs9ukk
title: a_ 51.00_ 0.19-Fxye_all.svg
DOI: 10.18710/q4dirk/qx2mfc
title: a_ 51.00_ 0.19-Fxye_all.eps
DOI: 10.18710/xldxq3/25owfa
title: 4_Rscript_and_results.pdf
DOI: 10.18710/xldxq3/lyxgil
title: 1_experimental_birds.pdf
DOI: 10.18710/2yjitd
title: Replication Data for: Using structural priming to test links between constructions: English caused-motion and resultative sentences inhibit each other

description: &lt;p&gt;This dataset contains response time data and participant data (nativeness, age, gender, handedness) from a structural priming experiment (N = 160) testing the link between the English caused-motion and resultative construction. The study used the "maze" variant of self-paced reading, in which participants read sentences word by word and choose between a sensible sentence continuation and a distractor word at every step. The study examines the (interacting) effects of the prime construction, target construction and verb overlap (whether prime and target contained the same or different verbs) on participants' response times.&lt;/p&gt;
&lt;p&gt;Abstract: Cognitive-linguistic theories commonly model speakers’ grammatical knowledge as a network of constructions related by a variety of associative links. The present study proposes that structural priming can provide psycholinguistic evidence of such links, and crucially, that the method can be extended to non-alternating constructions (i.e. constructions that differ in both form and meaning). In a comprehension priming experiment using the “maze” variant of self-paced reading, English caused-motion sentences were found to have an inhibitory effect by slowing down participants’ subsequent processing of resultatives, and vice versa, providing evidence that speakers store distinct but related representations for the constructions. Priming effects of a similar magnitude emerged in both directions, suggesting that the constructions are bidirectionally related, while not supporting previous claims about a metaphorical asymmetry between the patterns. Moreover, priming was only marginally affected when prime and target contained the same rather than different verbs, demonstrating that cross-constructional priming in comprehension can be observed in the absence of a “lexical boost”. The results raise questions for follow-up research on the role of inhibition in the grammatical network and the extension of structural priming to other types of constructional links.&lt;/p&gt;
description: R, 3.6.1
DOI: 10.18710/gxdora/5ujhxx
title: 20200118_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/febffb
title: 20200724_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/lfbbod
title: 20201102_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/mg1k7t
title: 20200714_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/nejsbi
title: 20200605_BJN_REDOBS_glo.txt
DOI: 10.18710/3arklu
title: Tradisjonsleik på Vestlandet

description: Ved tidlegare Høgskolen på Stord/Haugesund samla studentar ved førskule- og lærarutdanninga inn tradisjonsleikar.

Innsamlinga starta i 1998 ved at studentane laga eige leikhefte
med leikar frå deira barndom. Nye studentar samla inn leikar frå
eldre folk på heimstaden deira (2002-2004). Alle leikane vart sortert i
kategoriar og lagra i databasen som vart teken i bruk i 2002. Innsamlinga blei avslutta i 2007.

Datasettet består av over 155 leikar skildra på norsk og 58 som er oversett til engelsk. Mange av leikane som er samla inn går igjen, men gjerne med ulike namn og variantar.
description: At the former Stord/Haugesund University College, students in preschool and teacher education collected traditional children's games.

The collection started in 1998 when the students made their own playbook
consisting of games from their childhood. New students collected games from older people in their hometowns (2002-2004). All games were sorted in
categories and stored in the database from 2002. The collection was completed in 2007.

The dataset consists of over 155 children's games described in Norwegian and 58 which have been translated into English. Many of the games collected are repeated, but often with different names and variants.
DOI: 10.18710/bctmmh/oaooao
title: 01_Datasett.txt
DOI: 10.18710/ed8hsd/b3o7hr
title: to.remove.RData

description: An R data file containing character vector with all polymorphic and non-specific Illumina HumanMethylation 450 probe IDs.
DOI: 10.18710/ed8hsd/jyv30q
title: GSE105018.data.Rdata

description: An R data file containing the following objects: 1. geo.ranges: a GRanges object containing beta values for 430802 CpGs across 1658 samples from GSE105018 Illumina HumanMethylation 450 data set (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE105018). 2. sample.info: a list containing sample metadata for all samples in the GSE105018 data set. 3. sample.ids: a character vector of sample IDs.
DOI: 10.18710/gxdora/0ubyzb
title: 20201014_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/4aof41
title: 20200913_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/bxulit
title: 20201118_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/c2we8w
title: 20200324_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/gtgde0
title: 20200420_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/gvjdjp
title: 20200526_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/k5n2oj
title: 20200426_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/krtt0b
title: 20200614_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/nou6qf
title: 20200918_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/pucuhm
title: 20200926_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/qcjovz
title: 20201218_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/sbladl
title: 20200522_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/wigmpg
title: 20200308_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/xj1bbw
title: 20200913_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/xjidyw
title: 20200504_BJN_REDOBS_gps.txt
DOI: 10.18710/hvr5au/n9y8my
title: modSp.R

description: R script to reproduce modSp models
DOI: 10.18710/nwqqbi/ffjkqn
title: fields-10900.dat
DOI: 10.18710/nwqqbi/jxdo6h
title: fields-02700.dat
DOI: 10.18710/nwqqbi/lpy3eo
title: fields-02600.dat
DOI: 10.18710/nwqqbi/tgyiyx
title: fields-06300.dat
DOI: 10.18710/ogoawn/aurq7g
title: 00_README_CBL_BTA.txt
DOI: 10.18710/tcwuqn/e0oamn
title: Stations.txt

description: Geographical locations of the OBS deployments
DOI: 10.18710/tcwuqn/zqllr1
title: Methane_Solubility.pdf

description: Pdf of the plots generated using the spreadsheet
DOI: 10.18710/vdlbwh/jxkjnv
title: Schefferus_Correspondence.pdf

description: Extension of the register of Schefferus’ correspondence found in Eric Michael Fant’s (1754-1817) biography of Schefferus Minne öfver Joh. Schefferus, published in Stockholm in 1782.
DOI: 10.18710/2zg3ei/ao8cvo
title: 00_DataverseNO_README_Henden et al. 2020 JPE.txt

description: README file
DOI: 10.18710/6pwrxo/ep7uhu
title: 20201217_KHO_REDTEC_gps.txt
DOI: 10.18710/6pwrxo/ooaupt
title: 20200219_KHO_REDTEC_glo.txt
DOI: 10.18710/ec1c5e/kuwowz
title: 01_Dataset_Rapid life-history evolution in a wild Daphnia pulex population.txt
DOI: 10.18710/gxdora/2lxihl
title: 20201109_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/7f5geu
title: 20200608_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/mg4nsy
title: 20201220_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/rljdrm
title: 20200319_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/szpmaa
title: 20200709_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/tmei1c
title: 20201104_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/ugsoyo
title: 20200203_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/umbjnc
title: 20201015_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/wwkegy
title: 20200106_BJN_REDOBS_gps.txt
DOI: 10.18710/h5g3k5
title: NorFisk Dataset

description: Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and nutritional status, etc. The ability to monitor the presence of wild fish and its variability with time and space will improve our understanding of the dynamics of such interactions and the implications that follow. Many efforts are underway to 
recognize fish species using artificial intelligence. However there are not many image datasets publicly available to train these neural networks, and even fewer that include species that are relevant for the aquaculture sector. Here we present a public dataset of annotated images for fish species recognition with deep learning. The dataset contains 9487 annotated images of farmed salmonids and 3027 annotated images of saithe and it is expected to grow in the near future. This dataset was the result of processing nearly 50 hours of video footage taken inside and outside cages from several fish farms in Norway. The footage was processed with a semi-automatic system to create large image datasets of fish under water. The system combines techniques of image processing with deep neural networks in an iterative process to extract, label, and annotate images from video sources. The details of the system are described in a journal paper that is currently under review. This information will be updated when the paper is published.
DOI: 10.18710/mtpr9e/btrjqj
title: raw_Data_Nutrients_Sample_list.txt
DOI: 10.18710/ohpupu/oq341o
title: Ch5data.csv

description: In Chapter 5 we look at simplex verbs that have two or more Natural Perfectives formed by attaching prefixes. When a simplex verb uses more than one prefix to form Natural Perfectives, we call this “prefix variation”. For example if you look up грузить/ gruzit’ ‘load’ in the Ožegov & Švedova (2001) dictionary, you find that it uses three prefixes, za-, na-, and po-, to form perfective partner verbs. Is this just an exception? The answer to this question has long been buried in hundreds of entries scattered across the pages of dictionaries. Fortunately the Exploring Emptiness database (henceforth “EE database”) makes this information easy to access. The information cited on this webpage is extracted from the EE database. It is reasonable to suspect that some prefix combinations are fairly common, while others will be less common or non-existent. This is indeed the case. Table below lists all possible binary prefix combinations with the number of the simplex verbs that use it. Theoretically it is possible to make 120 binary combinations of sixteen prefixes (120 = 16x15/2). There are thirty-one binary combinations that are used by three or more simplex verbs, twenty-three that are rare and sixty-six that are not found at all.
DOI: 10.18710/pigssk/f57c4g
title: 20200124_BJN_REDTEC_gps.txt
DOI: 10.18710/pigssk/nznv5g
title: 20201219_BJN_REDTEC_glo.txt
DOI: 10.18710/pigssk/zxydfg
title: 20201117_BJN_REDTEC_gps.txt
DOI: 10.18710/6ectte/mansqu
title: Tilfeldighet.2008-2019.Panels(4090).log

description: THIS TXT FILE LISTS ALL THE 818 SAME-DAY PAIRWISE PANELS AND AND THE JUSTICES WHO HAD BEEN ALLOCATED TO THEM.
DOI: 10.18710/gxdora/9hxbof
title: 20200201_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/9i5uhc
title: 20200328_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/9meam0
title: 20200121_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/9qatzi
title: 20200204_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/av7gqm
title: 20200612_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/cagjm4
title: 20200813_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/fpir2w
title: 20201003_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/hcfp09
title: 20200317_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/hpoorg
title: 20200625_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/ifkv8n
title: 20200126_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/iiwqjo
title: 20200321_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/ijgyey
title: 20200511_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/khozxg
title: 20200126_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/pi0yjf
title: 20201123_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/qcxs7g
title: 20200813_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/r0q02b
title: 20200722_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/se9ya3
title: 20200325_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/t2xgmw
title: 20200222_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/tazmxj
title: 20200503_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/uqqtxr
title: 20200813_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/xia4h9
title: 20200711_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/xxhmbg
title: 20200518_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/ygd9zg
title: 20201107_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/z20ktm
title: 20200310_BJN_REDOBS_gps.txt
DOI: 10.18710/nwqqbi/qvrsgt
title: fields-08700.dat
DOI: 10.18710/nwqqbi/stuo7e
title: fields-00200.dat
DOI: 10.18710/nwqqbi/tnb1wn
title: fields-09600.dat
DOI: 10.18710/nwqqbi/xwnrea
title: fields-06100.dat
DOI: 10.18710/spauiy/dibly4
title: 03_Species_names.txt
DOI: 10.18710/8o9zv0/dcw7i8
title: 05_Figure_3.PNG
DOI: 10.18710/gxdora/5iyceb
title: 20200629_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/6nfnmd
title: 20200429_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/cnsjbd
title: 20200620_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/eyxwng
title: 20201227_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/khtyx6
title: 20200606_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/ljwb1m
title: 20200907_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/mlfkic
title: 20201101_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/qaxq5t
title: 20200627_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/w0xe0g
title: 20200826_BJN_REDOBS_gps.txt
DOI: 10.18710/ig0mmh/otcuyv
title: 01_Vascular_plant_phenols.txt

description: includes abundance data and concentration of phenolic compolunds in vascular plants
DOI: 10.18710/mtpr9e/5ncgvy
title: ngsfilter_18S_AllShorts.tsv
DOI: 10.18710/qc6vnp/xura21
title: TGO_Ramfjordmoen_ionosonde_data_2020-11.PNG.zip
DOI: 10.18710/spauiy
title: Replication Data for: Ambient and experimental warming effects on an alpine bryophyte community

description: This dataset contains bryophyte community data from a warming experiment using open top chambers in Finse, south-west Norway, collected in 2000 and 2018.
DOI: 10.18710/zlw59w/y3eoek
title: 2_sim_low_det.R

description: Script analyzing data simulated from the low detection probability scenario with the spatially hierarchical occupancy model.
DOI: 10.18710/4ucfsf/irdd7h
title: Luteolin_CalibrationCurve_2.txt
DOI: 10.18710/abruww/jyh1dt
title: 04_2_NINA-1_Data_monitoring_committee_reports .pdf
DOI: 10.18710/gxdora/08jeva
title: 20200828_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/mtegfo
title: 20200101_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/qhde5e
title: 20201031_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/s9aswb
title: 20200927_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/sevuag
title: 20200704_BJN_REDOBS_gal.txt
DOI: 10.18710/tu1gsy/zxgtct
title: 03_rscript.txt
DOI: 10.18710/zlw59w/6uxng2
title: 2_sim_hig_det.R

description: Script analyzing data simulated from the high detection probability scenario with the spatially hierarchical occupancy model.
DOI: 10.18710/6pwrxo/hupwlz
title: 20201109_KHO_REDTEC_glo.txt
DOI: 10.18710/6pwrxo/suphmo
title: 20200114_KHO_REDTEC_glo.txt
DOI: 10.18710/8o9zv0/a7rdxq
title: 01_Field_measurement_data.txt
DOI: 10.18710/bctmmh/lbsg7o
title: 02_Figurer.pdf
DOI: 10.18710/ed8hsd/2qt3ob
title: TCGA-COAD.tcga.data.Rdata

description: An R data file containing the following objects: 1. tcga.data: an object containing beta values for 487192 CpGs across 192 samples from TCGA-COAD Illumina HumanMethylation 450 data set (https://portal.gdc.cancer.gov/). This data set was used to find epimutations undergoing positive selection during carcinogenesys.
DOI: 10.18710/ed8hsd/qvdnuk
title: SIMULATED-5-1000-0.025.data.Rdata

description: An R data file containing the following objects: 1. simulated.ranges: a GRanges object containing simulated beta values for 485512 CpGs across 100 samples with aberrant methylation events introduced in some of the regions. 2. modified.regions.unique: a GRanges object containing genomic ranges and sample ID for 1000 true positive unique aberrantly methylated regions. 3. modified.regions.nonunique: a GRanges object containing genomic ranges and sample ID for 3000 true positive non-unique aberrantly methylated regions. 4. delta: delta value by which CpG beta values corresponding to particular region/sample pair in "simulated.ranges" were increased or decreased. 5. merge.window: "merge.window" parameter value to use during testing. 6. min.cpgs: "min.cpgs" parameter value to use during testing. 7. sample.ids: a character vector of sample IDs.
DOI: 10.18710/gxdora/2br5bi
title: 20200703_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/7fd9sc
title: 20201102_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/9hyjzq
title: 20200115_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/b6do71
title: 20201117_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/ca6gqw
title: 20200925_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/dyj5bp
title: 20200714_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/f4aper
title: 20200313_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/h9hywd
title: 20200802_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/hixhdc
title: 20200128_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/lcw5t1
title: 20201206_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/o7vbf4
title: 20201225_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/rlxj4i
title: 20200122_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/s8f7wd
title: 20201231_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/sj7u5k
title: 20200712_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/tee7hw
title: 20200824_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/uwdr0m
title: 20201201_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/ykufwx
title: 20200117_BJN_REDOBS_gps.txt
DOI: 10.18710/l60vdi/fc2fqb
title: 01_README_file_KnowingAndDoing.txt

description: This file is necessary to understand the other files.
DOI: 10.18710/mtpr9e/vzf7uc
title: ngsfilter_16S.tsv
DOI: 10.18710/ogqwzm/2hvgjq
title: AreaS4_AF100.txt

description: model with tabular bodies
DOI: 10.18710/pigssk/9v3wb0
title: 20200110_BJN_REDTEC_glo.txt
DOI: 10.18710/pigssk/xlwfj2
title: 20201220_BJN_REDTEC_gal.txt
DOI: 10.18710/q4dirk/4qjlpf
title: fields-06500.dat
DOI: 10.18710/q4dirk/woqekv
title: a_ 51.40_ 0.19-Fyze_all.svg
DOI: 10.18710/tu1gsy
title: Replication Data for: Morphological variation and development in a Northern Norwegian role play register

description: The dataset contains: Matrix containing anonymised transcriptions and coding of spontaneous play among 7 children and R scripts used in data manipulation and to fit a binomial mixed effect model.
description: Abstract: This paper investigates the variation in and development of a set of morphological variables in a register known to be used by Norwegian children when engaging in role play. In this register they code-switch to something resembling the standard or Oslo variety for their in-character role utterances. The variation across variables, subjects, and age is demonstrated and discussed, and although most variables are used in the standard variants, their rates vary. A fitted binomial generalised mixed effect analysis on the most frequent variables shows that the rate of standard variants increases significantly as an effect of age.
description: ELAN, several (4.9.4 to 5.7-AVFX)
description: R, 1.3.1093
description: Microsoft® Excel for Mac, 16.44
DOI: 10.18710/zlw59w/lzvxbk
title: 00_ReadMe.txt

description: Description of the data set.
DOI: 10.18710/zlw59w/ppsnhn
title: 1_Sim50data_low_occ.R

description: Script simulating data from a low occupancy probability scenario under the spatially hierarchical occupancy model.
DOI: 10.18710/chb8qs/pvsz4x
title: :unav

description: :unav
DOI: 10.18710/gxdora/6br7cf
title: 20200525_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/6r6nym
title: 20200311_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/egwyyr
title: 20200110_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/jjgdcb
title: 20200531_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/mlofrr
title: 20200322_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/ogzoxs
title: 20200617_BJN_REDOBS_gal.txt
DOI: 10.18710/gxdora/rq6k8a
title: 20200327_BJN_REDOBS_gps.txt
DOI: 10.18710/gxdora/s7142z
title: 20200713_BJN_REDOBS_glo.txt
DOI: 10.18710/gxdora/vzydcq
title: 20200131_BJN_REDOBS_gal.txt
DOI: 10.18710/8o9zv0/tkqna8
title: 04_Figure_2.PNG
DOI: 10.18710/abruww/ayvj4u
title: 01_2_NINA-1_Study_protocol-version_2.pdf

description: This protocol version was valid prior to the inclusion of the first patient. No participants included in the trial under this protocol
DOI: 10.18710/abruww/mhjrkm
title: 01_2_NINA-1_Study_protocol-version_3_0.pdf
DOI: 10.18710/abruww/o2lb4s
title: 13_1_NINA-1_Statistical_Analysis_Plan.pdf

description: The first, and final, Statistical Analysis Plan