cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/be3e7819-dabf-4a21-bb29-5b76179ff696.v2
title: Scripts and data underlying the paper that introduces and validates the Probabilistic Adaptive Screening method

description: This set of scripts and data files underlies the publication that introduces and validates the Probabilistic Adaptive Screening (PAS) method. <br>Accurately predicting the extreme (or design) values of wave impact loads is crucial to ensure the safety and reliability of marine and coastal structures. However, this task is challenging due to the complexity and rarity of these strongly non-linear loads. Existing methods are often limited to weakly non-linear loads, or are very computationally expensive. The paper connected to this dataset introduces a new multi-fidelity screening method, Probabilistic Adaptive Screening (PAS), which predicts extreme values of strongly non-linear wave-induced loads while minimising the required high-fidelity simulation duration. The method introduces a probabilistic approach to multi-fidelity screening, allowing efficient linear potential flow indicators to be used in the low-fidelity stage, even for strongly non-linear load cases. The method is validated against a range of cases, including non-linear waves, vertical bending moments, green water impact loads, and slamming loads. <br>In the paper, it is concluded that PAS accurately estimates both the distributions and extreme values in all test cases, with most probable maximum (MPM) values within 10% of the available full brute-force Monte-Carlo Simulation (MCS) results. In addition, PAS achieves this performance very efficiently, requiring less than 1.7% of the high-fidelity simulation time needed for conventional MCS. These results demonstrate that PAS can reliably reproduce the statistics of both weakly and strongly non-linear extreme load problems, while significantly reducing the associated computational cost. The study validates the statistical PAS framework; further work should focus on validating the full procedure including CFD load simulations.
DOI: 10.18710/7puepj/dmcg82
title: 20220521_NYA_REDOBS_glo.txt
DOI: 10.18710/cmktqx/1qcso9
title: TOF_2525.txt
DOI: 10.18710/cmktqx/d2bfhf
title: TOF_2594.txt
DOI: 10.18710/cmktqx/f1tjnk
title: TOF_2630.txt
DOI: 10.18710/cmktqx/l6ffwa
title: TOF_2593.txt
DOI: 10.18710/cmktqx/ust5dz
title: TOF_2496.txt
DOI: 10.18710/cmktqx/vwnzya
title: TOF_2691.txt
DOI: 10.18710/cmktqx/zditfe
title: TOF_2508.txt
DOI: 10.18710/kliss5/3o00xg
title: 04_Models.zip

description: Contains the processed 3D models for all glaciers.
DOI: 10.18710/mtuavq/2vgpye
title: 20230402_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/8zavee
title: 20230316_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/bujqs6
title: 20230315_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/exn9xq
title: 20230127_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/h3j8wt
title: 20230212_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/huko2k
title: 20230403_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/l6fsrq
title: 20230419_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/q5qwyj
title: 20230218_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/qzkhub
title: 20230418_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/uipmgf
title: 20230209_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/yave2h
title: 20230208_BJN_REDTEC_glo.txt
DOI: 10.18710/t1vqla/488h4m
title: savedrecs_18.txt
DOI: 10.18710/t1vqla/elqp1o
title: WP1_zigzag_2.csv
DOI: 10.18710/t1vqla/tpubwz
title: savedrecs_12.txt
DOI: 10.4121/286901ce-d227-4add-b06d-4cc12d137227.v2
title: Data supporting the master thesis: Lyapunov's Exponents for Classical Spin Glass Shards

description: The raw experimental data for the master thesis `Classical and Quantum Chaos in Spin Glass Shards Models`. The research goal of this thesis project is to investigate the emergence of integrable and chaotic dynamics for a Spin Glass Shards model under the influence of a random transverse magnetic field. Each experiment is contained in an individual folder. Each experiment consists of one or more multiple runs, in the `runs` folder, which have the name of the data of the experiment on them. Each folder containing a run contains a `simulation_parameters.dat` file with all the simulation parameters and system parameters. In the `processed` folder there are several `.plt` or `.gnuplot` files that have been used to generate the figures used in the thesis using GNUPLOT. For some experiments there is a `process.py` script present that carries out some elementary postprocessing on the `.dat` files in the `runs` folder, and puts the resulting post processed data in the `processed` folder, which the render scripts then use. These python scripts run with any available python binary, such as Python 3.0, and have no dependencies on external libraries. The code for the simulations is contained in two Fortran files `main.f90` and `math_utilities.f90` which can be compiled with the attached Makefile in the dataset, the Fortran code is compiled with gfortran-14. Executing the Makefile results in a `simulation` binary which runs the simulation for a given set of command-line parameters.
DOI: 10.18710/mtuavq/30gkm9
title: 20230623_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/hooasm
title: 20230519_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/qzb85w
title: 20230509_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/rp1xas
title: 20230610_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/tpevpy
title: 20230618_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/ybk41c
title: 20230517_BJN_REDTEC_gal.txt
DOI: 10.18710/t1vqla/1oan3k
title: savedrecs.txt
DOI: 10.18710/t1vqla/mbwdel
title: additional_data_EDM_2.txt
DOI: 10.18710/xzb5ki/yadqik
title: SPR_c(WWWKKK)_DMPC_PG_Channel1.txt
DOI: 10.18710/zfadjs/n4ddqn
title: Electrochemistry.zip
DOI: 10.18710/3haxnr/wglcoy
title: 00_READ_ME_MSN.txt
DOI: 10.18710/5gt2ub/idcwuv
title: 00ReadME.txt
DOI: 10.18710/7puepj/cyzqbu
title: 20221114_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/lv2g7p
title: 20221207_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/o0qqvr
title: 20221211_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/rgkkme
title: 20221114_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/tmlw8g
title: 20221216_NYA_REDOBS_gps.txt
DOI: 10.18710/cfbqsn/wbamro
title: 2022-09-30_ID_NA_1.pdf
DOI: 10.18710/cfbqsn/xs1bl1
title: 2022-10-01_ID_210.pdf
DOI: 10.18710/k3h0ol/jbproj
title: Dataset_inter-rater_ 09.09.2022.txt
DOI: 10.18710/kliss5/s4roig
title: 01_Koenigsbergbreen_Spring_2020_Images.zip

description: Contains all the raw images from the drone mapping campaign.
DOI: 10.18710/kvalrh/7syd2g
title: ConcentrationsPools_dataset_v1.txt

description: This is the dataset used to to ask to what extent plant-community nutrient levels (concentrations and pools of nitrogen and phosphorus) are affected by herbivory and warming in high-Arctic tundra (Svalbard). Interpretation of the information contained here is provided in 00_ReadMe_ConcentrationsPools_v1
DOI: 10.18710/mtuavq/1ahz4r
title: 20230614_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/bh6ufs
title: 20230530_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/lnzxag
title: 20230531_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/qvtalu
title: 20230615_BJN_REDTEC_gal.txt
DOI: 10.18710/sj89e3
title: Replication Data for: Metaphor analysis meets lexical strings: Finetuning the Metaphor Identification Procedure for quantitative semantic analyses

description: &lt;p&gt;&lt;b&gt;Dataset Abstract:&lt;/b&gt;&lt;/p&gt; 
This is the data that serves as the basis for a methodological article which proposes and illustrates two ways to extend the Metaphor Identification Procedure in such a way as to allow it to capture (metaphorical) lexical strings, in addition to (simple) metaphor-related lexical units. It includes a sample of 25 linguistic metaphors which stem from a larger corpus compiled by the first author, between October 2021 and May 2023. The corpus contains newspaper articles published in the Spanish-language, US-based newspaper El Diario (the El Paso and Juárez local editions). These articles revolve around the DACA (Deferred Action for Childhood Arrivals program) immigration program and were published between November 2020 and May 2023.
description: &lt;p&gt;&lt;b&gt;Article abstract:&lt;/b&gt;&lt;/p&gt; 
Recent years have witnessed the development of the Metaphor Identification Procedure (MIP/VU), a step-by-step protocol designed to identify metaphorically-used words in discourse. However, MIP(VU)’s merits notwithstanding, the procedure poses a problem to scholars intending to use its output as the basis for a semantic field analysis involving a quantitative component. Depending on the research question, metaphor analysts may be interested in chunks of language situated above the procedure’s standardized level of analysis (i.e, the lexical unit), including phrases and sentences. Yet, attempts to decenter the method’s exclusive focus on metaphor-related words have been the target of critique, among others on the grounds of their lack of clear unit-formation guidelines and, hence, their inconsistent unit of analysis and measurement. Drawing on data derived from a Spanish-language US-based newspaper’s coverage of the migration program known as DACA (Deferred Action for Childhood Arrivals), this article describes challenges that analysts can run into when attempting to use a dataset containing atomized metaphor-related words as the input for subsequent quantitative semantic analyses. Its main methodological contribution consists in a proposal and illustration of two possible ways to extend the existing MIP(VU)-protocol in such a way as to allow it to catch metaphorical strings, on top of words, in a reliable and systematic manner. One approach is procedural, and entails formulating a-priori grouping-directives based on the research question(s). The other is exploratory, involving the ad hoc grouping of units and adding a descriptive parameter meant to keep track of grouping-decisions made by the analyst, thereby safeguarding transparency at all times
description: MS Excel
DOI: 10.18710/t1vqla/7qnzez
title: 0_ReadMe_WP_3_6.txt
DOI: 10.18710/t1vqla/azf36w
title: savedrecs_3.txt
DOI: 10.18710/t1vqla/buinjh
title: 3_5_2023_A.csv
DOI: 10.18710/t1vqla/jbkasf
title: 3_5_2023_G.csv
DOI: 10.18710/xzb5ki/dqgdct
title: SPR_c(LWwNKr)_DMPC_Channel3.txt
DOI: 10.18710/xzb5ki/pjyewu
title: SPR_c(WKWKWK)_DMPC_Channel1.txt
DOI: 10.18710/xzb5ki/sttq1y
title: MST_Ves_DMPC_t-jump.txt
DOI: 10.18710/zfadjs/3eay3s
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/3p1tao
title: XRD_from_BM31_spring_2022.zip
DOI: 10.18710/zfadjs/7wsvna
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/cxtkjv
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/d1l0or
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/eivrw5
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/evj4mc
title: XRD_in_operando_cell.zip
DOI: 10.18710/zfadjs/feucln
title: Ex_situ_XRD.zip
DOI: 10.18710/zfadjs/fodziu
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/mci70v
title: AB400_Bi2MoO6.zip
DOI: 10.18710/zfadjs/pjzofl
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/pvj59e
title: 20220201_CS_B_065.zip
DOI: 10.18710/zfadjs/uvnkcw
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/xhhecv
title: AB259_Bi2MoO6.zip
DOI: 10.18710/7puepj/3e2nx8
title: 20220825_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/9yid5u
title: 20220929_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/sudn4j
title: 20220514_NYA_REDOBS_glo.txt
DOI: 10.18710/mtuavq/bv3vdr
title: 20230603_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/ubaesc
title: 20230424_BJN_REDTEC_gps.txt
DOI: 10.18710/mxca5s/hycgkl
title: arbeidsmåtene_i_barnehagen_structure.txt

description: Tabular separated text file
DOI: 10.18710/nmglrl/lwaq0w
title: CAGE_18-4_HR3D_2D_Depth_Converted_FIG4_e-e.sgy

description: M-GS destriping applied to original HR3D seismic
Composite line generated and converted to 2D
Exported with CRS UTM84-32N
TWT (ms) to depth (m) converted
DOI: 10.18710/nmglrl/oozpl3
title: CAGE_18-4_HR3D_2D_Depth_Converted_FIG4_b-b.sgy

description: M-GS destriping applied to original HR3D seismic
Composite line generated and converted to 2D
Exported with CRS UTM84-32N
TWT (ms) to depth (m) converted
DOI: 10.18710/t1vqla/bmstx5
title: 4_5_2023_G_Ship_Dynamics.csv
DOI: 10.18710/tknnrq/lqnilo
title: Bodoe_transkripsjon_entall_aldersgruppe_C.xlsx
DOI: 10.18710/tknnrq/mgr4bd
title: Kristiansand_transkripsjon_flertall_aldersgruppe_B.tsv
DOI: 10.18710/tmssjp/rlv7lu
title: Heggli_etal_2022_MetaData.txt
DOI: 10.18710/vzbzeo
title: Supporting Data for: Institutionalizing International Internships in Business Education; An Action Research Approach to Overcoming Barriers and Driving Systemic Change in Norwegian Business Schools

description: The dataset focuses on the institutionalization of international internships in higher education institutions in Norway, specifically examining key informants' perspectives on the development and implementation of these programs. The methodology employed consists of document review, ethnographic inquiry, and nine semi-structured interviews with purposively selected key informants from two institutions, including education program managers, deans or vice-deans, faculty directors, internationalization advisors, and department leaders. The interview guide explores five main areas: the interviewee's background and role, the institution's response to externally financed projects, decision-making processes, potential contingencies in implementing internship projects, and recommendations for improvement. The data analysis utilizes Gioia methodology for qualitative data analysis, combined with multiple case studies, providing insights into the underlying normative aspects of institutionalizing international internships in young Norwegian universities. The dataset consists of processed and anonymized data.
description: QSR -Nvivo, 1.7.1
DOI: 10.18710/wgrd0d/0vsvlt
title: 20220803_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/3idyho
title: 20220719_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/cz4kw1
title: 20220904_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/ltshib
title: 20220709_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/nrcut0
title: 20220809_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/ofcorh
title: 20220824_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/vrr0zc
title: 20220717_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/yyboyl
title: 20220910_NYA_REDTEC_gps.txt
DOI: 10.18710/xzb5ki/5uodw3
title: SPR_c(WKWKWK)_DMPC_PG_Channel2.txt
DOI: 10.18710/xzb5ki/7d5hzu
title: MST_SMA_DMPC_fluor.txt
DOI: 10.18710/xzb5ki/djykja
title: SPR_c(WKWKWK)_DMPC_PG_Channel4.txt
DOI: 10.18710/xzb5ki/issezo
title: SPR_c(WRWRWR)_DMPC_PG_Channel1.txt
DOI: 10.18710/xzb5ki/nxc7sn
title: MST_Ves_DMPG_fluor.txt
DOI: 10.18710/xzb5ki/tceejf
title: MST_SMA_DMPG_fluor.txt
DOI: 10.18710/xzb5ki/x8fu2c
title: MST_SMA_fluor.txt
DOI: 10.18710/xzb5ki/yl3sq4
title: SPR_c(WKWKWK)_DMPC_Channel3.txt
DOI: 10.18710/yug9v0/1yzj3w
title: 00_README.txt
DOI: 10.18710/zfadjs/0ffvhf
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/6wakbn
title: Ex_situ_XAS_Bi_L3_edge.zip
DOI: 10.18710/zfadjs/cp7p2c
title: Bi_Sigma-Aldrich.zip
DOI: 10.18710/zfadjs/dmpkvj
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/esnpyz
title: Bi2O3.zip
DOI: 10.18710/zfadjs/fxipvn
title: Mo_foil.zip
DOI: 10.18710/zfadjs/hhxsvb
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/mjhg3u
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/o5yark
title: XRD_and_XAS_scripts.zip
DOI: 10.18710/zfadjs/puyw7x
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/se66zw
title: XRD_and_PDF_from_ID15_June_2021.zip
DOI: 10.18710/zfadjs/sxybzc
title: AB_S_023_Bi2MoO6_080621.zip
DOI: 10.18710/zfadjs/tzt8b9
title: Bi2MoO6_pristine.zip
DOI: 10.18710/zfadjs/uhpgn5
title: Ex_situ_XRD.zip
DOI: 10.18710/zfadjs/usnb6h
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/yoomng
title: TiO.zip
DOI: 10.18710/zfadjs/ytvin2
title: AB377_separator_in_glovebox.zip
DOI: 10.18710/zfadjs/z0oav7
title: Na2MoO4_2H2O.zip
DOI: 10.18710/zfadjs/zmjhkg
title: Bi2Mo3O12_Sigma-Aldrich.zip
DOI: 10.18710/3povdt/rhhra9
title: 20210511_H9c2-dTag_GAL_LTDR100nm-40m_1520_sim256_011_ch3_MUSS_t00-stack.tif
DOI: 10.18710/7puepj/cvtpny
title: 20221222_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/eg80ld
title: 20221123_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/fowgyw
title: 20221006_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/gw2rpk
title: 20221229_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/iwaqxe
title: 20221017_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/ndlss6
title: 20221001_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/tlxgh1
title: 20221218_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/u7vlwd
title: 20221120_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/yl83dy
title: 20221109_NYA_REDOBS_gal.txt
DOI: 10.18710/bwzhl8/bwcxef
title: 00_ReadMe.txt
DOI: 10.18710/gux2o8/en1gay
title: Processed-SIte12w_datapiezo_PZM1_2020Litho.txt
DOI: 10.18710/l4idnp/7oc8g6
title: 03_Bryolichenosociology_NL_Data2.xlsx

description: Vegetation relevés 2001-4000 in Excel format.
DOI: 10.18710/l4idnp/dkvg9t
title: 04_Bryolichenosociology_NL_Data2.txt

description: The same file as 03 but now in plain text format.
DOI: 10.18710/nmglrl/1msuxk
title: BSR_model_input_20_0Ka.txt
DOI: 10.18710/nmglrl/71yapb
title: BSR_model_input_4_5Ka.txt
DOI: 10.18710/nmglrl/aryghc
title: CAGE_18-4_HR3D_2D_Depth_Converted_FIG4_c-c.sgy

description: M-GS destriping applied to original HR3D seismic
Composite line generated and converted to 2D
Exported with CRS UTM84-32N
TWT (ms) to depth (m) converted
DOI: 10.18710/nmglrl/fwxr2d
title: BSR_model_input_32_5Ka.txt
DOI: 10.18710/nmglrl/gqqtlj
title: BSR_model_input_22_0Ka.txt
DOI: 10.18710/nmglrl/hfdm89
title: BSR_model_input_17_0Ka.txt
DOI: 10.18710/tknnrq/vzdmcn
title: Egersund_transkripsjon_possessiv_etterstilt_aldersgruppe_A.tsv
DOI: 10.18710/zfadjs/4itzou
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/fccjp5
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/fqpn3d
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/jdhemb
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/ocorjy
title: Ex_situ_XAS_Bi_L3_edge.zip
DOI: 10.18710/zfadjs/prfmmy
title: 20220304_CS_B_091.zip
DOI: 10.18710/zfadjs/yip7z5
title: Bi.zip
DOI: 10.18710/7puepj/1gucuv
title: 20221231_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/gdsoj1
title: 20221003_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/ughcbe
title: 20221014_NYA_REDOBS_gal.txt
DOI: 10.18710/gux2o8/psn9dk
title: Processed-SIte4E_datapiezo_PZM4_2020Litho.txt
DOI: 10.18710/mtuavq/avtitc
title: 20230629_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/hxvgza
title: 20230529_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/nljuvo
title: 20230601_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/rvonxh
title: 20230628_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/tsokee
title: 20230515_BJN_REDTEC_gps.txt
DOI: 10.18710/nmglrl/kybnpz
title: CAGE_18-4_HR3D_2D_Depth_Converted_FIG4_a-a.sgy

description: M-GS destriping applied to original HR3D seismic
Composite line generated and converted to 2D
Exported with CRS UTM84-32N
TWT (ms) to depth (m) converted
DOI: 10.18710/nmglrl/srjtn1
title: BSR_model_input_31_5Ka.txt
DOI: 10.18710/tknnrq/1iwsxy
title: Egersund_transkripsjon_possessiv_etterstilt_aldersgruppe_C.xlsx
DOI: 10.18710/tknnrq/4xlmo5
title: Kristiansand_transkripsjon_entall_aldersgruppe_B.tsv
DOI: 10.18710/tknnrq/7mj4w2
title: MoiRana_transkripsjon_possessiv_etterstilt_aldersgruppe_B.xlsx
DOI: 10.18710/tknnrq/cpac50
title: Bodoe_transkripsjon_possessiv_foranstilt_aldersgruppe_C.tsv
DOI: 10.18710/tknnrq/jqom9s
title: Lyngdal_transkripsjon_possessiv_etterstilt_aldersgruppe_B.tsv
DOI: 10.18710/tknnrq/kdn9jg
title: Egersund_transkripsjon_entall_aldersgruppe_A.xlsx
DOI: 10.18710/tknnrq/klmyf2
title: Egersund_transkripsjon_entall_aldersgruppe_B.tsv
DOI: 10.18710/tknnrq/op8pen
title: Experiment4_GenVAC.pdf
DOI: 10.18710/tknnrq/pqdzru
title: Bodoe_transkripsjon_entall_aldersgruppe_C.tsv
DOI: 10.18710/tknnrq/tnpjgv
title: MoiRana_transkripsjon_entall_aldersgruppe_B.xlsx
DOI: 10.18710/tknnrq/zz4mww
title: MoiRana_transkripsjon_entall_aldersgruppe_C.tsv
DOI: 10.18710/3povdt/w4p2cz
title: Kidney_stack_CE1s.tif
DOI: 10.18710/7puepj/al9eu4
title: 20220718_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/r1irl7
title: 20220906_NYA_REDOBS_glo.txt
DOI: 10.18710/tknnrq/88mmia
title: Lyngdal_transkripsjon_flertall_aldersgruppe_C.xlsx
DOI: 10.18710/tknnrq/nw4vrj
title: Kristiansand_transkripsjon_possessiv_etterstilt_aldersgruppe_B.tsv
DOI: 10.18710/tknnrq/qwzzzd
title: Kristiansand_transkripsjon_flertall_aldersgruppe_C.tsv
DOI: 10.18710/tknnrq/s4yv8y
title: Stavanger_transkripsjon_flertall_aldersgruppe_C.xlsx
DOI: 10.18710/tknnrq/sefj4w
title: MoiRana_transkripsjon_flertall_aldersgruppe_B.xlsx
DOI: 10.18710/tknnrq/udidwd
title: Egersund_transkripsjon_pronomen_aldersgruppe_A.xlsx
DOI: 10.18710/tknnrq/xvulv8
title: Stavanger_transkripsjon_pronomen_aldersgruppe_C.tsv
DOI: 10.18710/tknnrq/yod70v
title: Experiment3_GenVAC.pdf
DOI: 10.18710/tknnrq/zrc7j6
title: Egersund_transkripsjon_pronomen_aldersgruppe_C.tsv
DOI: 10.18710/wgrd0d/2uc9ts
title: 20220905_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/jrrjyy
title: 20220913_NYA_REDTEC_gps.txt
DOI: 10.18710/7puepj/6u2zb2
title: 20220816_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/acxnhh
title: 20220919_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/aytkjv
title: 20220804_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/exisj1
title: 20220827_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/fwohlb
title: 20220913_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/hvmosi
title: 20220906_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/i4xrfs
title: 20220903_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/ig2vc7
title: 20220802_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/pevck2
title: 20220820_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/rrpsgb
title: 20220913_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/sd9fgo
title: 20220921_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/twhgf6
title: 20220713_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/u0wyh4
title: 20220706_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/v7h7cg
title: 20220716_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/vyroup
title: 20220927_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/w9x3dj
title: 20220705_NYA_REDOBS_gps.txt
DOI: 10.18710/cfbqsn/9pxbva
title: 2022-10-02_ID_866.pdf
DOI: 10.18710/mtuavq/cut7do
title: 20230429_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/esyne2
title: 20230415_BJN_REDTEC_glo.txt
DOI: 10.18710/t1vqla/qnrblo
title: savedrecs_10.txt
DOI: 10.18710/tknnrq/llas2u
title: Lyngdal_transkripsjon_possessiv_etterstilt_aldersgruppe_B.xlsx
DOI: 10.18710/uhpyab/7zr6by
title: Qs_PP_RISK_USA_2018.pdf

description: Survey questions used for the empirical analsysis in Mannberg, A., Hendrikx, J. and Johnson, J.D., (2021). Risky Positioning - Social aspirations and risk taking behavior in avalanche terrain, Leisure studies 40(4), 495-512
Survey software: Qualtrics
DOI: 10.18710/wgrd0d/3rrvp6
title: 20220730_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/9itybr
title: 20220704_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/cn1nla
title: 20220721_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/f4b0mw
title: 20220905_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/ht38lx
title: 20220906_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/k5ub90
title: 20221220_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/l8ntx7
title: 20220728_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/nzyf6m
title: 20220823_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/pxkvxz
title: 20220828_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/uomoro
title: 20220830_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/yw5fxy
title: 20220809_NYA_REDTEC_gps.txt
DOI: 10.18710/zcdx1b/ucdl14
title: dataset.csv

description: Database of mobile vowels (Russian preposition v/vo)
DOI: 10.18710/11lltw/spvfbk
title: 20200227_H9c2-galac-mCh-eGFP_LTDR50nM-30min_1522_dvtl_003_ALX.zip
DOI: 10.18710/3povdt/0ikd2y
title: 20181212_KideneySections_AF488_1512_sim1024_029_SIR_log.txt
DOI: 10.18710/3povdt/hpsdjn
title: MAX_20210511_H9c2-dTag_GAL_PFA4-GA02_LTDR100nm-40m_1520_sim512_003_ch1_CE-stack.tif
DOI: 10.18710/3povdt/sxgbhd
title: 20210511_H9c2-dTag_GAL_PFA4-GA02_LTDR100nm-40m_1520_sim512_003_ch2_CE-stack-downscaled.tif
DOI: 10.18710/3povdt/zfdcdp
title: 20210511_H9c2-dTag_GAL_LTDR100nm-40m_1520_sim256_011_ch3_MUSS_t00-stack-downscaled.tif
DOI: 10.18710/3povdt/zskdgf
title: Kidney_stack_MUSS.tif
DOI: 10.18710/7puepj/ligdof
title: 20220731_NYA_REDOBS_gal.txt