cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/hk395z/xryzt7
title: 20190129_NYA_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/3jpa1h
title: OPX-226.stl
DOI: 10.18710/q0f8pa/7i1ghg
title: OPX-67.stl
DOI: 10.18710/q0f8pa/8pmn8x
title: OPX-78.stl
DOI: 10.18710/q0f8pa/9uoe4b
title: OPX-155.stl
DOI: 10.18710/q0f8pa/hgjr3g
title: OPX-112.stl
DOI: 10.18710/q0f8pa/huhnvo
title: OPX-263.stl
DOI: 10.18710/q0f8pa/j3xzd6
title: OPX-244.stl
DOI: 10.18710/q0f8pa/n2kbrj
title: OPX-157.stl
DOI: 10.18710/q0f8pa/xbyhoh
title: OPX-95.stl
DOI: 10.18710/q0f8pa/xd3r3e
title: OPX-73.stl
DOI: 10.18710/q0f8pa/ywevoi
title: OPX-237.stl
DOI: 10.18710/tu1gsy/tognku
title: 02_variables_in_csv_file.txt
DOI: 10.18710/0wghzm/2kqsnd
title: 20191021_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/37cari
title: 20191005_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/gas8zt
title: 20191015_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/h3tjts
title: 20190628_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/hbdn5u
title: 20190708_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/jxqfju
title: 20190605_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/roaexr
title: 20190927_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/vgxzlc
title: 20191012_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/zglwmo
title: 20190609_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zltxta
title: 20191208_NYA_REDOBS_gps.txt
DOI: 10.18710/2yjitd/dua7tk
title: data_RT.tab

description: Response time data
DOI: 10.18710/2yjitd/vas7ki
title: 00_ReadMe.txt

description: Description of methods & dataset
DOI: 10.18710/abruww/kw2fbt
title: 01_2_NINA-1_Study_protocol-version_3_1.pdf
DOI: 10.18710/ed8hsd/iqmcin
title: mouse.embryonic.marks.tar.gz

description: LOLA database containing information on mouse embryonic chromatin marks. Required for R/PoC.results.GSE105018.R. Ungzip before using.
DOI: 10.18710/h5g3k5/qk355d
title: NorFisk_v1.0.zip
DOI: 10.18710/hk395z/36ibjo
title: 20190609_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/b17d7u
title: 20190916_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/vriraz
title: 20191229_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/xwz2sn
title: 20190220_NYA_REDTEC_gps.txt
DOI: 10.18710/jdwlva/ambuaj
title: 00_README_LMD_v2.txt
DOI: 10.18710/q0f8pa/06ra5l
title: OPX-137.stl
DOI: 10.18710/q0f8pa/4tme5j
title: OPX-104.stl
DOI: 10.18710/q0f8pa/4v2avc
title: OPX-266.stl
DOI: 10.18710/q0f8pa/6tnn80
title: OPX-170.stl
DOI: 10.18710/q0f8pa/7d8k6f
title: OPX-279.stl
DOI: 10.18710/q0f8pa/9xsuob
title: OPX-249.stl
DOI: 10.18710/q0f8pa/cbfcbl
title: OPX-79.stl
DOI: 10.18710/q0f8pa/djnvx6
title: PLAG75.stl
DOI: 10.18710/q0f8pa/folfto
title: OPX188.stl
DOI: 10.18710/q0f8pa/lb8gzc
title: PLAG53.stl
DOI: 10.18710/q0f8pa/nsqqcs
title: OPX-248.stl
DOI: 10.18710/q0f8pa/pohk5a
title: OPX-27.stl
DOI: 10.18710/q0f8pa/wqhb5e
title: OPX222.stl
DOI: 10.18710/q0f8pa/xignsl
title: OPX-114.stl
DOI: 10.18710/q0f8pa/zmlpmc
title: OPX-212.stl
DOI: 10.18710/q0f8pa/zqnfqk
title: OPX-33.stl
DOI: 10.18710/qc6vnp/vaywul
title: TGO_Ramfjordmoen_ionosonde_data_2020-11.SAO.zip
DOI: 10.18710/0wghzm/xoaiew
title: 20190521_NYA_REDOBS_gal.txt
DOI: 10.18710/bctmmh
title: Replication Data for: Åpen publisering - det statistikken ikke viser

description: I nettavisen Khrono pågår en debatt om de offisielle tallene for åpen publisering (open access) i Norge. I vårt innlegg presenterer vi tall for 2018 og 2019 basert på kildene Cristin og NORA. Vi har valgt ut landets åtte største universiteter, målt i antall tellende (fagfellevurderte, vitenskapelige) artikler. Dette datasettet inneholder grunnlagsdataene for vårt Khrono-innlegg.
DOI: 10.18710/hk395z/0qknxn
title: 20190614_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/j7tieq
title: 20191208_NYA_REDTEC_glo.txt
DOI: 10.18710/0wghzm/1fuwdm
title: 20190714_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/4crv1q
title: 20190216_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/6dijyt
title: 20191112_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/8n5dmk
title: 20191110_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/dkbfmx
title: 20190920_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/dmk1ge
title: 20190809_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/esungz
title: 20190116_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/fjsy5b
title: 20190821_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/h5sopf
title: 20191010_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/haegce
title: 20191026_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/hvxcna
title: 20191019_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/iergeg
title: 20191118_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/jeu9sw
title: 20190528_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/mnpqma
title: 20190603_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/nlw320
title: 20190903_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ronp4s
title: 20190213_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/rotbtf
title: 20190516_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/s72lnc
title: 20190526_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/sb65ee
title: 20190729_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/tfefhe
title: 20191025_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/wpj0hl
title: 20190722_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/xtocbx
title: 20191215_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/zqbz9x
title: 20190709_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/zy7bfl
title: 20190212_NYA_REDOBS_gps.txt
DOI: 10.18710/hk395z/8umxzf
title: 20191216_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/nofxfa
title: 20190923_NYA_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/lc1shj
title: OPX-77.stl
DOI: 10.18710/q0f8pa/mhxp0n
title: OPX-254.stl
DOI: 10.18710/q0f8pa/sic3xl
title: OPX-179.stl
DOI: 10.18710/q0f8pa/tkcun3
title: OPX-146.stl
DOI: 10.18710/q0f8pa/y1cqsd
title: PLAG8.stl
DOI: 10.18710/q0f8pa/y9ybe8
title: OPX-8.stl
DOI: 10.18710/0wghzm/0gqipv
title: 20190320_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/bw1zxw
title: 20190919_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/qxce8k
title: 20191216_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/rtcbyg
title: 20190615_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/umr1dd
title: 20190627_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/zn4f9c
title: 20190726_NYA_REDOBS_gal.txt
DOI: 10.18710/q0f8pa/8bxywn
title: PLAG-16.stl
DOI: 10.18710/q0f8pa/djgef1
title: PLAG32.stl
DOI: 10.18710/q0f8pa/lqiyej
title: OPX-222.stl
DOI: 10.18710/q0f8pa/mzmo3i
title: OPX-116.stl
DOI: 10.18710/q0f8pa/n52sj6
title: OPX-184.stl
DOI: 10.18710/q0f8pa/sqjb8s
title: PLAG-102.stl
DOI: 10.18710/q0f8pa/uwte6o
title: PLAG146.stl
DOI: 10.18710/q0f8pa/x0x3lw
title: PLAG-127.stl
DOI: 10.18710/q0f8pa/x1u19n
title: OPX52.stl
DOI: 10.18710/q0f8pa/zmgrjw
title: OPX208.stl
DOI: 10.18710/0wghzm/4entdm
title: 20190331_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/6ixy3w
title: 20191207_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/8n4jxe
title: 20190409_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/fowspm
title: 20190321_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/gleltu
title: 20190104_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/hdjzkc
title: 20190317_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/i9kisq
title: 20190114_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/iijlev
title: 20191017_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/kwig9v
title: 20190729_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/owbmpp
title: 20190218_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/q6g8tm
title: 20190611_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/vffluy
title: 20190416_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ysqd6m
title: 20190825_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/yzmii4
title: 20190111_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/zzfq8y
title: 20191213_NYA_REDOBS_gal.txt
DOI: 10.18710/3arklu/ctobaa
title: leiker.tab

description: Games collection - Norwegian
DOI: 10.18710/8o9zv0/dko2e8
title: 08_Figure_6.PNG
DOI: 10.18710/8o9zv0/vi13li
title: 01_Field_mea_data_DHW.txt
DOI: 10.18710/a3satc/a6oqzy
title: 00_ReadMe_actually.txt
DOI: 10.18710/a3satc/nn8rrf
title: data_retrieval_speaker_biodata_2014.html
DOI: 10.18710/abruww/aegvhs
title: 09_1_NINA-1_Monitoringplan.pdf
DOI: 10.18710/abruww/k4biag
title: 00readme-1.txt

description: Consult this document for easier access to specific documents
DOI: 10.18710/chb8qs/kwcpvu
title: :unav

description: :unav
DOI: 10.18710/hk395z/98vbc3
title: 20190828_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/9igxms
title: 20190407_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/cmvcnj
title: 20191205_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/fax7xr
title: 20190408_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/gqt2k1
title: 20191202_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/kyeyzx
title: 20190717_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/luj0qz
title: 20191222_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/m33s48
title: 20190720_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/mxyfea
title: 20191216_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/o9kvfq
title: 20190502_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/pahgu3
title: 20190404_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/pvnbc3
title: 20190508_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/sbleza
title: 20191117_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/tghg56
title: 20190114_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/u938de
title: 20190614_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/ulofr2
title: 20190527_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/uosqgr
title: 20190116_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/wfj9n3
title: 20190810_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/wvavpi
title: 20191107_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/xfqr8a
title: 20190402_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/xmmjqh
title: 20191115_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/yfnjpd
title: 20191125_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/ygzs7r
title: 20191218_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/z8hpcn
title: 20190616_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ztmzgv
title: 20191203_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/zuxjeq
title: 20191026_NYA_REDTEC_glo.txt
DOI: 10.18710/mifrwn/3esh5k
title: 3_Individual profiles.pdf

description: Mean VOT values and ranges of VOT values obtained for each individual informant, /ptkb/ in word-initial context.
DOI: 10.18710/nl8uqc/aumlf6
title: 00_ReadMe_TheSuperlativeAlternationInPresent-dayEnglishQuestionnaireData.txt
DOI: 10.18710/nwqqbi/pygag7
title: fields-01900.dat
DOI: 10.18710/ogoawn/9l3xes
title: Table_S4.txt
DOI: 10.18710/ogoawn/mjdfrv
title: Table_S3.txt
DOI: 10.18710/ogoawn/vheruq
title: Table_S6.txt
DOI: 10.18710/ogoawn/z0zzjb
title: Table_S7.txt
DOI: 10.18710/q0f8pa/1xrua6
title: PLAG45.stl
DOI: 10.18710/q0f8pa/rn1w63
title: OPX117.stl
DOI: 10.18710/q0f8pa/scezzd
title: OPX215.stl
DOI: 10.18710/vdlbwh/100zme
title: 00_readme.txt

description: Explanation of the contents of the dataset
DOI: 10.18710/wa5ycf/4fhtce
title: Raw_Data.tab
DOI: 10.18710/zlw59w/diklrd
title: 1_Sim50data_hig_occ.R

description: Script simulating data from a high occupancy probability scenario under the spatially hierarchical occupancy model.
DOI: 10.18710/0wghzm/bc1zqu
title: 20190520_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/gi6eq4
title: 20190912_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/tfodqc
title: 20190627_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/xdfes5
title: 20190316_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zrdl30
title: 20190322_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/zt58ut
title: 20190930_NYA_REDOBS_gps.txt
DOI: 10.18710/a3satc
title: Actually in contemporary British speech: Data from the Spoken BNC corpora

description: &lt;p&gt;This dataset contains tabular files with information about the usage of "actually" in contemporary British speech. We draw on two spoken corpora: (i) The demographically sampled part of the Spoken BNC1994 (Crowdy 1995) and (ii) the Spoken BNC2014 (Love et al. 2017). For both corpora, we list the usage rate observed for each speaker (total number of words produced, number of actually tokens, normalized frequency of actually expressed as per million words), along with information about the sex and age of the informant. In total, the dataset includes n = 1,408 speakers (Spoken BNC1994DS) and n = 668 speakers (Spoken BNC2014). For each corpus, we offer data tables with additional speaker meta-data. For a subset of the Spoken BNC1994DS (speakers with available information on gender and age; n = 886 speakers; n = 2,688 tokens), we also report on the position of actually in the clause (initial, medial, final), which was annotated manually.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Related publication: Sönning, Lukas & Manfred Krug. 2022. Comparing study designs and down-sampling strategies in corpus analysis: The importance of speaker metadata in the BNCs of 1994 and 2014. In Ole Schützler & Julia Schlüter (eds.), Data and methods in corpus linguistics: Comparative approaches, 127-159. Cambridge: Cambridge University Press. &lt;a href="https://doi.org/10.1017/9781108589314.006"
title="DOI" target="_blank"&gt;https://doi.org/10.1017/9781108589314.006&lt;/a&gt;&lt;/p&gt;
description: CQPweb, 3.3.7
description: rcqp (R package), 0.5
DOI: 10.18710/hk395z/ewx3tj
title: 20191125_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/svxmmb
title: 20190525_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/yszypd
title: 20190706_NYA_REDTEC_glo.txt
DOI: 10.18710/q0f8pa/2gwesj
title: PLAG54.stl
DOI: 10.18710/q0f8pa/go0qvz
title: PLAG103.stl
DOI: 10.18710/q0f8pa/xso8uh
title: PLAG-83.stl
DOI: 10.18710/q0f8pa/za6crk
title: PLAG27.stl
DOI: 10.5281/zenodo.17950460
title: Dataset Belgische bedrijven Agroforestry Kaart

description: Belgian Agroforestry DatasetThis dataset contributes Belgian agroforestry information to the NEW Agroforestry Map of Europe. This map, released in December 2024, is being co-developed across the DigitAF and REFOREST projects projects and will be available on the website of the European Agroforestry Federation (EURAF). It builds on data collected during and after the AGFORWARD project and aims to update and expand the existing map with more recent developments in Belgium. The dataset includes information on agroforestry plots, as well as relevant NGOs, companies, and research institutes that have become active in recent years.

The data is provided as a bulk collection to facilitate integration into the map, with the understanding that individual entries may later be added one by one. All information has been shared in compliance with EU GDPR requirements and is intended solely for use within the Agroforestry Map initiative.

 

More information on the agroforestry map: Agroforestry Kaart - Agroforestry

Link to the Belgian agroforestry map: The agroforestry map of europe

Link to the European agroforestr map: Agroforestry Map of Europe - DigitAF
DOI: 10.18710/0wghzm/gfgpn3
title: 20190428_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/wdlclk
title: 20191024_NYA_REDOBS_glo.txt
DOI: 10.18710/abruww/t4qvyz
title: 12_3 _NINA-1_Database_lock_documentation.pdf
DOI: 10.18710/fkjajr/p9xbbp
title: R script O OB EXPERIMENT.R

description: This is the R code for both statistical models for the experimental data on the prefixes O-, OB-, and OBO-.
DOI: 10.18710/hk395z/gig6dp
title: 20191225_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/suxpqo
title: 20190919_NYA_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/4gk4xs
title: OPX198.stl
DOI: 10.18710/q0f8pa/8cxrdf
title: PLAG121.stl
DOI: 10.18710/q0f8pa/gxanyp
title: PLAG7.stl
DOI: 10.18710/q0f8pa/hb60mk
title: PLAG35.stl
DOI: 10.18710/q0f8pa/lmtstf
title: OPX63.stl
DOI: 10.18710/q0f8pa/n2ddro
title: PLAG162.stl
DOI: 10.18710/q0f8pa/q7ssby
title: OPX80.stl
DOI: 10.18710/q0f8pa/seow8c
title: PLAG93.stl
DOI: 10.18710/q0f8pa/sfljtf
title: OPX48.stl
DOI: 10.18710/q0f8pa/st3trj
title: PLAG-121.stl
DOI: 10.18710/q0f8pa/tzvuph
title: OPX181.stl
DOI: 10.18710/q0f8pa/vaghzx
title: PLAG115.stl
DOI: 10.5281/zenodo.17950459
title: Dataset Belgische bedrijven Agroforestry Kaart

description: Belgian Agroforestry DatasetThis dataset contributes Belgian agroforestry information to the NEW Agroforestry Map of Europe. This map, released in December 2024, is being co-developed across the DigitAF and REFOREST projects projects and will be available on the website of the European Agroforestry Federation (EURAF). It builds on data collected during and after the AGFORWARD project and aims to update and expand the existing map with more recent developments in Belgium. The dataset includes information on agroforestry plots, as well as relevant NGOs, companies, and research institutes that have become active in recent years.

The data is provided as a bulk collection to facilitate integration into the map, with the understanding that individual entries may later be added one by one. All information has been shared in compliance with EU GDPR requirements and is intended solely for use within the Agroforestry Map initiative.

 

More information on the agroforestry map: Agroforestry Kaart - Agroforestry

Link to the Belgian agroforestry map: The agroforestry map of europe

Link to the European agroforestr map: Agroforestry Map of Europe - DigitAF
DOI: 10.18710/0wghzm/rzpzaz
title: 20191003_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/v0biwl
title: 20191127_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/z4njwv
title: 20190204_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/zns3at
title: 20191122_NYA_REDOBS_glo.txt
DOI: 10.18710/4ucfsf/4brooo
title: 00_README.txt

description: ReadMe-file
DOI: 10.18710/fkjajr/jfblmo
title: DataOU.csv

description: This is a reduced version of the database for the purposes of the statistical analysis of the corpus data (155 verbs in O- and U-).
DOI: 10.18710/hk395z/9xpmwp
title: 20190306_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ab4o9n
title: 20190622_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/e98bst
title: 20190819_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/fbxofc
title: 20190325_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ulei3g
title: 20190621_NYA_REDTEC_glo.txt
DOI: 10.18710/mtpr9e/vnkjbd
title: Dataverse_sea_ice_physics_BF.txt

description: sea ice physics
DOI: 10.18710/nshfak/x4y81b
title: ValidationData.txt

description: Data for validation, samples were mixed separately and acquired on a separate day.
DOI: 10.18710/nwqqbi/74py2o
title: fields-09700.dat
DOI: 10.18710/nwqqbi/g6ciel
title: fields-08000.dat
DOI: 10.18710/nwqqbi/xwsrqz
title: fields-06700.dat
DOI: 10.18710/nwqqbi/ztsmio
title: fields-07500.dat
DOI: 10.18710/o9rew1/7tw1dt
title: TGO_Ramfjordmoen_ionosonde_data_2021-02.PNG.zip
DOI: 10.18710/ogqwzm/aumz55
title: Area6_NRM.txt

description: model with tabular bodies
DOI: 10.18710/ogqwzm/pfh6ka
title: Area5_NRM.txt

description: model with tabular bodies
DOI: 10.18710/q0f8pa/7jhgvk
title: PLAG143.stl
DOI: 10.18710/q0f8pa/ekavyl
title: OPX-147.stl
DOI: 10.18710/q0f8pa/f3j9g1
title: PLAG147.stl
DOI: 10.18710/q0f8pa/iiwey2
title: OPX-227.stl
DOI: 10.18710/q0f8pa/jzylk9
title: PLAG126.stl
DOI: 10.18710/q0f8pa/mgvgph
title: PLAG-13.stl
DOI: 10.18710/q0f8pa/ofonhw
title: PLAG105.stl
DOI: 10.18710/q0f8pa/svfymv
title: OPX82.stl
DOI: 10.18710/q0f8pa/ukapyv
title: OPX-261.stl
DOI: 10.18710/q0f8pa/uqpjnj
title: OPX218.stl
DOI: 10.18710/q0f8pa/vvsn2o
title: OPX-90.stl
DOI: 10.18710/qrdet2/oz5xjt
title: storj.tab

description: 44x44 image formed like a "J"
DOI: 10.18710/qrdet2/wrdteq
title: J_liten.tab

description: 6x6 image formed like a "J"
DOI: 10.15468/dl.ps928y
title: Occurrence Download

description: A dataset containing 30954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Margaritifera margaritifera",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30954 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054555-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/0wghzm/eesjj4
title: 20190828_NYA_REDOBS_gps.txt
DOI: 10.18710/fkjajr/qnmije
title: R script VY IZ.R

description: This R code documents the statistical tests discussed in Chapter 8.
DOI: 10.18710/hk395z/l0ohgq
title: 20191220_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/qsdowx
title: 20191211_NYA_REDTEC_gps.txt
DOI: 10.18710/nwqqbi/1dekxm
title: fields-05100.dat
DOI: 10.18710/nwqqbi/bgdwe1
title: fields-02500.dat
DOI: 10.18710/nwqqbi/grohsl
title: fields-10300.dat
DOI: 10.18710/nwqqbi/nxo0fe
title: fields-08500.dat
DOI: 10.18710/nwqqbi/pidskh
title: fields-02100.dat
DOI: 10.18710/nwqqbi/qosxjn
title: fields-00500.dat
DOI: 10.18710/nwqqbi/x340qm
title: fields-08600.dat
DOI: 10.18710/nwqqbi/zkoeme
title: fields-10000.dat
DOI: 10.18710/q0f8pa/m3fjzv
title: OPX179.stl
DOI: 10.18710/0wghzm/zmcuox
title: 20190412_NYA_REDOBS_gal.txt
DOI: 10.18710/fkjajr/qvordk
title: O U EXPERIMENTAL DATA.xlsx

description: Acceptability scores elicited from 121 subjects in the experiment on Russian factitive verbs in O- and U-.
DOI: 10.18710/hk395z/2i5skw
title: 20190715_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/4p78hh
title: 20190426_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/cskd8r
title: 20190221_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/ee0tcb
title: 20190722_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/krgvj9
title: 20190228_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/ljstlt
title: 20191017_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/nth9tg
title: 20190925_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/pnzm8j
title: 20190317_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/yyoi97
title: 20190310_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/znjtlb
title: 20190427_NYA_REDTEC_gps.txt
DOI: 10.18710/nwqqbi/qduhda
title: fields-06900.dat
DOI: 10.18710/q0f8pa/7v2ccc
title: PLAG81.stl
DOI: 10.18710/q0f8pa/bcpci2
title: OPX203.stl
DOI: 10.18710/q0f8pa/c55zk4
title: PLAG149.stl
DOI: 10.18710/q0f8pa/dlbhk1
title: PLAG-153.stl
DOI: 10.18710/q0f8pa/dyoim9
title: OPX125.stl
DOI: 10.18710/q0f8pa/g50qpj
title: OPX112.stl
DOI: 10.18710/q0f8pa/hnqdpp
title: PLAG-48.stl
DOI: 10.18710/q0f8pa/iqixce
title: PLAG-99.stl
DOI: 10.18710/q0f8pa/j8sbxd
title: OPX30.stl
DOI: 10.18710/q0f8pa/nxygzq
title: PLAG-67.stl
DOI: 10.18710/q0f8pa/pboyoz
title: PLAG42.stl
DOI: 10.18710/q0f8pa/t6hav1
title: PLAG78.stl
DOI: 10.18710/q0f8pa/uxard6
title: OPX129.stl
DOI: 10.18710/gxdora/ooprel
title: 20200211_BJN_REDOBS_glo.txt
DOI: 10.18710/hk395z/7zhqfl
title: 20190514_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/8q6p85
title: 20190812_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/mydt1r
title: 20191027_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/rsfkq9
title: 20190504_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/s59vgx
title: 20191011_NYA_REDTEC_gps.txt
DOI: 10.18710/nwqqbi/dnhgur
title: fields-06600.dat
DOI: 10.18710/nwqqbi/nlnwd0
title: fields-00900.dat
DOI: 10.18710/nwqqbi/rqjwvb
title: fields-00000.dat
DOI: 10.18710/q0f8pa/0ptwid
title: OPX16.stl
DOI: 10.18710/q0f8pa/0xa3nr
title: OPX46.stl
DOI: 10.18710/q0f8pa/9fcnhy
title: OPX231.stl
DOI: 10.18710/q0f8pa/biaygg
title: PLAG161.stl
DOI: 10.18710/q0f8pa/domymo
title: PLAG-63.stl
DOI: 10.18710/q0f8pa/evdmj8
title: PLAG-71.stl
DOI: 10.18710/q0f8pa/mpqobm
title: PLAG-150.stl
DOI: 10.18710/q0f8pa/pngwye
title: OPX157.stl
DOI: 10.18710/q0f8pa/t06psl
title: OPX111.stl
DOI: 10.18710/q0f8pa/t6tuvt
title: OPX255.stl
DOI: 10.18710/q0f8pa/tlzozg
title: OPX32.stl
DOI: 10.18710/q0f8pa/vggs0p
title: PLAG159.stl
DOI: 10.18710/q0f8pa/ymrnle
title: PLAG-114.stl
DOI: 10.18710/q0f8pa/yyxkgw
title: PLAG-160.stl
DOI: 10.5281/zenodo.17942987
title: Propagation and elongation of aerodynamically driven Newtonian drops on rough surfaces

description: When a sessile liquid drop is exposed to airflow parallel to the solid substrate, it can begin to deform and move along the substrate surface. The drop dynamics are governed by aerodynamic forces and capillary forces associated with contact angle hysteresis. In this experimental study, the behavior of drops on surfaces with varying roughness in a wind tunnel is investigated using a high-speed video system. Image processing is applied to determine the evolution of the drop’s position, height, and length over time. These values are obtained for drops of various initial volumes, viscosities, and surface tensions. We observed that, above a certain critical airflow velocity, the drop transforms into a lengthening rivulet. The corresponding threshold conditions scale well with the critical aerodynamic Weber number, based on air density and attack velocity. Across a wide range of experimental parameters, the critical Weber number correlates exclusively with the aerodynamic capillary number. This database is used in the manuscript submitted in Physics in Fluids.
DOI: 10.18710/hk395z/b96awz
title: 20190604_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/bevaq4
title: 20191031_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/dlt3sc
title: 20190813_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/hn09jp
title: 20190425_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/lzvw14
title: 20191226_NYA_REDTEC_glo.txt