cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3530741
title: Potential wave 1 video scholen

description: Data collected through the e-PIC video-based comparative judgement instrument in wave 1 (October 2017) of the Potential project in primary and secondary schools. SPSS Syntax to construct reasoning scales: ***Schaalaanmaak PTSI Individual Needs*** IF (NMISS(PTSI07, PTSI14, PTSI15, PTSI16) &lt;= 1) <br> PTSI_individualneeds=MEAN(PTSI07, PTSI14, PTSI15, PTSI16).<br> VARIABLE LABELS PTSI_individualneeds 'PTSI reasoning on individual needs'.<br> EXECUTE. RECODE PTSI_individualneeds (SYSMIS=999).<br> EXECUTE.<br> Missing values PTSI_individualneeds (999).<br> Execute. ***Schaalaanmaak PTSI Safe & structured environment*** IF (NMISS(PTSI23, PTSI09, PTSI17, PTSI06, PTSI11, PTSI24) &lt;= 2) <br> PTSI_safestructure=MEAN(PTSI23, PTSI09, PTSI17, PTSI06, PTSI11, PTSI24).<br> VARIABLE LABELS PTSI_safestructure 'PTSI reasoning on a safe and structured environment'.<br> EXECUTE. RECODE PTSI_safestructure (SYSMIS=999).<br> EXECUTE.<br> Missing values PTSI_safestructure (999).<br> Execute. ***Schaalaanmaak PTSI Student involvement*** IF (NMISS(PTSI05, PTSI22, PTSI02, PTSI18, PTSI10, PTSI19) &lt;= 2) <br> PTSI_studentinvolve=MEAN(PTSI05, PTSI22, PTSI02, PTSI18, PTSI10, PTSI19).<br> VARIABLE LABELS PTSI_studentinvolve 'PTSI reasoning on student involvement'.<br> EXECUTE. RECODE PTSI_studentinvolve (SYSMIS=999).<br> EXECUTE.<br> Missing values PTSI_studentinvolve (999).<br> Execute. ***Schaalaanmaak DI_active_learning*** IF (NMISS(DI07,DI16,DI14,DI11,DI15,DI10) &lt;= 2) <br> DI_active_learning=MEAN(DI07,DI16,DI14,DI11,DI15,DI10) .<br> EXECUTE. RECODE DI_active_learning (SYSMIS=999).<br> EXECUTE.<br> Missing values DI_active_learning (999).<br> Execute. ***Schaalaanmaak DI_instructional_clarity*** IF (NMISS(DI27,DI28,DI04,DI03,DI24) &lt;= 2) DI_instructional_clarity=MEAN(DI27,DI28,DI04,DI03,DI24).<br> EXECUTE. RECODE DI_instructional_clarity (SYSMIS=999).<br> EXECUTE.<br> Missing values DI_instructional_clarity (999).<br> Execute. ***Schaalaanmaak DI_adaptive_teaching*** IF (NMISS(DI09,DI08,DI22,DI02,DI19) &lt;= 2) DI_adaptive_teaching=MEAN(DI09,DI08,DI22,DI02,DI19).<br> EXECUTE. RECODE DI_adaptive_teaching (SYSMIS=999).<br> EXECUTE.<br> Missing values DI_adaptive_teaching (999).<br> Execute. ***Schaalaanmaak DI_flexible_grouping*** IF (NMISS(DI06,DI01,DI25,DI26,DI05) &lt;= 1) DI_flexible_grouping=MEAN(DI06,DI01,DI25,DI26,DI05).<br> EXECUTE. RECODE DI_flexible_grouping (SYSMIS=999).<br> EXECUTE.<br> Missing values DI_flexible_grouping (999).<br> Execute.
description: This work was supported by Flanders Innovation and Entrepreneurship (www.vlaio.be/english) under grant 150011
DOI: 10.5281/zenodo.3530509
title: European Collaboration for Healthcare Optimisation (ECHO) Indicators Definition Crosswalks

description: <strong>European Collaboration for Healthcare Optimisation (ECHO) Indicators Definition Crosswalks</strong> ECHO indicators rationale and code definition mapped out in ICD-9 and ICD-10 (for diagnoses) and ICD-9, NOMESCO, OPCS-4, ACHI and Leustungkatalog.
description: Additional Information on the crosswalk development and deployment is available at http://www.echo-health.eu/handbook/
DOI: 10.5281/zenodo.3530510
title: European Collaboration for Healthcare Optimisation (ECHO) Indicators Definition Crosswalks

description: <strong>European Collaboration for Healthcare Optimisation (ECHO) Indicators Definition Crosswalks</strong> ECHO indicators rationale and code definition mapped out in ICD-9 and ICD-10 (for diagnoses) and ICD-9, NOMESCO, OPCS-4, ACHI and Leustungkatalog.
description: Additional Information on the crosswalk development and deployment is available at http://www.echo-health.eu/handbook/
DOI: 10.18739/a2tq5rd83
title: Modeled Bathymetry Maps of 17 Lakes on the Arctic Coastal Plain of Alaska, 2017

description: The goal of this project was to test the application of spectral depth models to quantify lake water volumes on the Inner Arctic Coastal Plain of Alaska. Lakes in this area tend to be deeper than those nearby and store a significant amount of the region’s water, making them important in terms of energy balance, as ecological habitat, and as water sources for infrastructure (e.g. ice roads). Due in part to their depth, these lakes have often been neglected by the limited number of prior studies that also focus on lakes in northern Alaska. Techniques employed by these studies limit the magnitude, precision, and/or scale at which depths can be assessed. By analyzing remotely sensed lake color using a method typically reserved for coastal bathymetry mapping, we are able to predict deeper depths and thus more accurately evaluate deep Arctic lake water volumes. This dataset includes 30 meter resolution bathymetry rasters for 17 lakes on the Alaskan Arctic Coastal Plain. These depth maps were created using linear and exponential models tuned with sonar depth measurements (depth dataset: doi:10.18739/A2SN01440) and applied to a Landsat-8 image (image ID: LC08_L1TP_076011_20160805_20170222_01_TI). The 12 model variants we tested were each distinguished by the two Red-Green-Blue (RGB) bands used, linear or exponential growth pattern, and simple or transform ratio. We were able to successfully tune models at the scale of an individual lake, predicting depth with an average model uncertainty (based on root mean squared error) of 1.44 meters. Volumes derived from the provided bathymetry rasters may be useful for understanding the distribution of water across northern Alaska and providing context for future changes in the landscape. Models were derived in part from: Stumpf, R. P., Holderied, K., and Sinclair, M. (2003). Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnology and Oceanography, 48(1), 547-606. Sonar depth points provided by: Simpson, C. and Arp, C. (2018). Sonar Depth Measurements at Lakes on the Inner Arctic Coastal Plain of Alaska, July 2017. Arctic Data Center. doi:10.18739/A2SN01440 [https://doi.org/10.18739/A2SN01440]
DOI: 10.7488/5acc1997-69be-496b-964b-f22ad06456d8
title: The effect of podoplanin deficiency on bone structure

description: microCT images of wild-type and podoplanin KO mouse bones. ## Access ## This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh users. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: http://www.ed.ac.uk/is/research-support/datavault .
description: Modified subchondral bone (SCB) modelling and thickening are hallmarks of osteoarthritis (OA) and unquestionably contribute to OA pathogenesis. Currently, there are no known ways to restrict increases in SCB mass. This proposal will test whether SCB thickening in OA can be restricted by promoting E11 protein stability to drive osteocyte formation (osteocytogenesis) and sclerostin-mediated inhibition of bone formation. This hypothesis stems from our pilot data revealing that osteocyte formation is triggered by matrix mineralisation in a pathway reliant on the expression and stabilisation of E11 protein. Using hypomineralisation murine models (phospho1-/-) and human osteoblasts our first goal will determine if matrix mineralisation drives E11 expression and osteocyte formation. The critical requirement for E11 expression to drive osteocytogenesis will be confirmed by studying mice harbouring an osteoblast deletion of E11. Furthermore, we will determine the post-translational mechanisms controlling osteocyte E11 protein stability and whether these can be targeted to accelerate osteocytogenesis. Finally, OA-like trauma will be induced by non-invasive loading to determine if SCB changes are characterised by aberrant mineralisation and disrupted osteocytogenesis and E11 expression. This proposal will identify a novel means of selectively minimising increases in SCB mass to slow joint deterioration and prolong life quality in OA patients.
description: Staines, K; Farquharson, C "The effect of podoplanin deficiency on bone structure" (2019) [dataset] Edinburgh DataVault.
DOI: 10.7488/ec08c5d0-7251-40f7-865b-043c2d2dc32c
title: Claire Wood MRC Clinical fellowship

description: MicroCT of bones from DMD mouse models. ## Access ## This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh users. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: http://www.ed.ac.uk/is/research-support/datavault .
description: The muscular dystrophy x-linked (mdx) mouse is commonly used as a mouse model of Duchenne muscular dystrophy (DMD). Its phenotype is, however, mild and other mouse models have been explored. The mdx:cmah mouse carries a human-like mutation in the Cmah gene and has a severe muscle phenotype, but its growth and bone development are unknown. In this study we compared male mdx, mdx:utr+/-, mdx:cmah-/- and wild-type (WT) mice at 3, 5 and 7 weeks of age to determine the suitability of the mdx:cmah-/- mouse as a model for assessing growth and skeletal development in DMD. Mdx:cmah mice were lighter than WT mice at 3, but heavier at 7 weeks (p=0.02) and showed an increased growth rate at 5 weeks (p=0.007). Cortical bone fraction as assessed by micro-computed tomography was greater in both mdx and mdx:cmah mice v WT mice at 7 weeks (p&lt;0.05).Tissue mineral density was also higher in mdx:cmah mice at 3 (p&lt;0.05) and 7 (p&lt;0.01) weeks. Gene profiling of mdx:cmah bone identified increased expression of Igf1, Igf1r and Vegfa. Both the mdx and mdx:cmah mice showed an increased proportion of regulated bone marrow adipose tissue (BMAT) but a reduction in constitutive BMAT. The mdx:cmah mice show evidence of catch-up growth and more rapid bone development. This pattern does not mimic the typical DMD growth trajectory and therefore the utility of the mdx:cmah mouse for studying growth and skeletal development in DMD is limited. Further studies of this model may however shed light on the phenomenon of catch-up growth.
DOI: 10.7910/dvn/ms6ztz/cmpdep
title: BhavnaniLeeAJPSRep2.tab

description: :unav
DOI: 10.7910/dvn/ms6ztz/fcjsxm
title: BhavnaniLeeAJPSRep4.tab

description: :unav
DOI: 10.7910/dvn/ms6ztz/fxk1tb
title: BhavnaniLeeAJPSRep1.tab

description: :unav
DOI: 10.7910/dvn/ms6ztz/xux0eb
title: BhavnaniLeeAJPSRep3.tab

description: :unav
DOI: 10.17632/bknmsy77pb.3
title: Data for: Indentation size and loading rate sensitivities on mechanical properties and creep behavior of solid bitumen

description: File 1 is the data for the dependences of modulus and hardness on depth shown in Figure 6. File 2 is the data for creep time-depth of selected tests with a depth of 3000 nm. File 3 is the data for tests with a loading rate of 0.05s-1. File 4 is the data for m calculation shown in Figure 12. File 5 is the XRD data for solid bitumen shown in Figure 4.
DOI: 10.7910/dvn/ms6ztz/hie2ux
title: BhavnaniLeeAJPSRepCode.do

description: :unav
DOI: 10.7910/dvn/ms6ztz/ttoeyb
title: Readme.txt

description: :unav
DOI: 10.7910/dvn/ms6ztz/uov6g1
title: Codebook.pdf

description: :unav
DOI: 10.14272/zuuygwsdfrskrq-votsokgwsa-n.1
title: C20H14F15N
title: InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+

description: This dataset contains experimental data from a sample (InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS)
DOI: 10.14272/zuuygwsdfrskrq-votsokgwsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+

description: dataset for mass spectrometry (MS) MS (ESI), m/z (%): 554.09 (100) [M+H]+. HRMS (C20H14F15N1): calcd 554.09, found 554.0946..
DOI: 10.14272/zuuygwsdfrskrq-votsokgwsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, ppm) δ = 1.33 (s, 6H, 2 × CH3), 2.31 (s, 3H, CH3), 6.14–6.22 (m, 1H, CH=CH), 7.21 (d, 3JHH = 16.1 Hz, 1H, CH=CH), 7.40–7.43 (m, 2H, 2 × CHar), 7.53–7.55 (m, 1H, CHar).
DOI: 10.14272/zuuygwsdfrskrq-votsokgwsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, ppm) δ = 15.8 (+, CH3), 23.1 (+, 2CH3), 53.9 (Cq), 113.1 (+, t, 2JC,F = 23 Hz, CH=CH), 120.4 (+, CHar), 120.3 (+, CHar), 128.2 (+, CHar), 130.7 (Cq, Car), 139.9 (+, t, 2JC,F = 9.3 Hz, CH=CH), 146.6 (Cq, Car), 155.7 (Cq, Car), 190.1 (Cq, C). Missing signals due to coupling caused by the fluorine chain (8C).
DOI: 10.14272/zuuygwsdfrskrq-votsokgwsa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C20H14F15N/c1-9-13(2,3)11-8-10(4-5-12(11)36-9)6-7-14(21,22)15(23,24)16(25,26)17(27,28)18(29,30)19(31,32)20(33,34)35/h4-8H,1-3H3/b7-6+

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2968, 1654, 1610, 1575, 1464, 1364, 1194, 1144, 1099, 1021, 973, 889, 809, 718, 700, 651, 566, 531, 466, 410 cm–1.
DOI: 10.5281/zenodo.3530342
title: concepticon/concepticon-data: CLLD Concepticon 2.2

description: List, Johann Mattis & Rzymski, Christoph & Greenhill, Simon & Schweikhard, Nathanael & Pianykh, Kristina & Forkel, Robert (eds.) 2019. Concepticon 2.2. A Resource for the Linking of Concept Lists. Jena: Max Planck Institute for the Science of Human History. Available online at https://concepticon.clld.org
DOI: 10.5281/zenodo.3517101
title: The longitudinal interview data on immigrant adaptation in Finland

description: The longitudinal interview data were collected among a privileged group of well-educated, English-speaking Iraqis who arrived in Finland as asylum-seekers in 2015–2016 in order to study different aspects of both their short and long-term adaptation in Finland. All the interviews were conducted as semi-structured, in-depth interviews in English. In all, the data consist of a total of 36 interviews, each one lasting approximately 40–120 minutes. The participants were interviewed at three different time points during their first 2.5 years in Finland. The baseline interviews were conducted approximately 1–4 months after their arrival in Finland when all the participants (<em>N </em>= 22; three women) were still waiting for their asylum decision in the reception centres or private accommodation in Helsinki or Turku. They were contacted through direct contact outside reception centres, at events organised by or for asylum-seekers, or through a snowball sampling technique utilizing the participants’ social networks. The baseline data describe their life in Iraq, journey to Finland, motivation for choosing Finland, life in the reception centres as well as future expectations and so far experiences regarding their economic, psychological, socio-psychological, and socio-cultural adaptation in Finland. The two rounds of follow-up interviews were conducted approximately 1.5 years and 2.5 years after arrival among those participants (<em>N </em>= 7; three women) who were subsequently legally permitted to remain in Finland on the basis of either refugee status or subsidiary protection. The follow-up data were collected under the Occupational Restructuring Challenges Competencies research project funded by the Strategic Research Council at the Academy of Finland (project number 303536). The follow-up data describe, among other things, how the participants’ employment status had developed over time in Finland, and how it related to their subjective well-being as well as to both their economic and overall adaptation in the new country.
description: {"references": ["Yij\u00e4l\u00e4, A. & Luoma, T. (2019). The Importance of Employment in the Acculturation Process of Well-Educated Iraqis in Finland: A Qualitative Follow-up Study. Refugee Survey Quarterly, 38 (3), 314\u2013340, https://doi.org/10.1093/rsq/hdz009", "Yij\u00e4l\u00e4, A., & Nyman, M. (2017). Living in limbo \u2013 Qualitative case study of skilled Iraqi asylum seekers in Finland. City of Helsinki Urban Facts Research Series 2017:1. Helsinki: City of Helsinki."]}
DOI: 10.5281/zenodo.3517102
title: The longitudinal interview data on immigrant adaptation in Finland

description: The longitudinal interview data were collected among a privileged group of well-educated, English-speaking Iraqis who arrived in Finland as asylum-seekers in 2015–2016 in order to study different aspects of both their short and long-term adaptation in Finland. All the interviews were conducted as semi-structured, in-depth interviews in English. In all, the data consist of a total of 36 interviews, each one lasting approximately 40–120 minutes. The participants were interviewed at three different time points during their first 2.5 years in Finland. The baseline interviews were conducted approximately 1–4 months after their arrival in Finland when all the participants (<em>N </em>= 22; three women) were still waiting for their asylum decision in the reception centres or private accommodation in Helsinki or Turku. They were contacted through direct contact outside reception centres, at events organised by or for asylum-seekers, or through a snowball sampling technique utilizing the participants’ social networks. The baseline data describe their life in Iraq, journey to Finland, motivation for choosing Finland, life in the reception centres as well as future expectations and so far experiences regarding their economic, psychological, socio-psychological, and socio-cultural adaptation in Finland. The two rounds of follow-up interviews were conducted approximately 1.5 years and 2.5 years after arrival among those participants (<em>N </em>= 7; three women) who were subsequently legally permitted to remain in Finland on the basis of either refugee status or subsidiary protection. The follow-up data were collected under the Occupational Restructuring Challenges Competencies research project funded by the Strategic Research Council at the Academy of Finland (project number 303536). The follow-up data describe, among other things, how the participants’ employment status had developed over time in Finland, and how it related to their subjective well-being as well as to both their economic and overall adaptation in the new country.
description: {"references": ["Yij\u00e4l\u00e4, A. & Luoma, T. (2019). The Importance of Employment in the Acculturation Process of Well-Educated Iraqis in Finland: A Qualitative Follow-up Study. Refugee Survey Quarterly, 38 (3), 314\u2013340, https://doi.org/10.1093/rsq/hdz009", "Yij\u00e4l\u00e4, A., & Nyman, M. (2017). Living in limbo \u2013 Qualitative case study of skilled Iraqi asylum seekers in Finland. City of Helsinki Urban Facts Research Series 2017:1. Helsinki: City of Helsinki."]}
DOI: 10.5281/zenodo.3530206
title: Data associated with audioset_soundscape_feats_sethi2019 (Nov 2019 release)

description: Data associated with the GitHub repo: https://github.com/sarabsethi/audioset_soundscape_feats_sethi2019 for reproduction of analysis and figures from Sethi et. al. (in prep.) Unzip the file provided here, and place all folders in the base directory of the GitHub code.
DOI: 10.5281/zenodo.3530725
title: Data set (2016) Bamboo-dominated forest in Amazonia

description: Ziccardi, Leonardo G, de Alencastro, Paulo M L, Figueiredo, Evandro O, Fearnside, Philip M (2019) A spatial dataset of bamboo-dominated forest mensuration collected in 2016 in southeastern Amazonia, Acre, Brazil.
DOI: 10.5281/zenodo.3530726
title: Data set (2016) Bamboo-dominated forest in Amazonia

description: Ziccardi, Leonardo G, de Alencastro, Paulo M L, Figueiredo, Evandro O, Fearnside, Philip M (2019) A spatial dataset of bamboo-dominated forest mensuration collected in 2016 in southeastern Amazonia, Acre, Brazil.
DOI: 10.5281/zenodo.3530559
title: Trust is Essential: Positive Effects of Information Systems on Users' Memory require Trust in the System

description: This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined trust effects on “intentional forgetting” in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. Based on initial findings demonstrating that trust in the system increased intentional forgetting (Hertel et al., 2019, doi: 10.1080/00140139.2019.1574361; Hertel et al., 2018, doi: 10.5281/zenodo.1237684), we aimed to replicate this effect. Moreover, we assumed that trust in the system increases the related release of memory resources for additional tasks, decision quality, decision makers' well-being, and actual use of the system. We induced different levels of trust in the system by manipulating the reliability of the system and the credibility of information provided by the system. Moreover, we manipulated the framing (gains vs. losses) of decision outcomes as potential moderator.
description: This research has been funded by the German Research Foundation (Deutsche Forschungsgemeinschaft): BE 1422/21-1 | HE 2745/16-1
DOI: 10.5281/zenodo.3530560
title: Trust is Essential: Positive Effects of Information Systems on Users' Memory require Trust in the System

description: This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined trust effects on “intentional forgetting” in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. Based on initial findings demonstrating that trust in the system increased intentional forgetting (Hertel et al., 2019, doi: 10.1080/00140139.2019.1574361; Hertel et al., 2018, doi: 10.5281/zenodo.1237684), we aimed to replicate this effect. Moreover, we assumed that trust in the system increases the related release of memory resources for additional tasks, decision quality, decision makers' well-being, and actual use of the system. We induced different levels of trust in the system by manipulating the reliability of the system and the credibility of information provided by the system. Moreover, we manipulated the framing (gains vs. losses) of decision outcomes as potential moderator.
description: This research has been funded by the German Research Foundation (Deutsche Forschungsgemeinschaft): BE 1422/21-1 | HE 2745/16-1
DOI: 10.7910/dvn/hznjru/6nnndk
title: exp2_stimuli_with_cosine_sub2vec.tab

description: :unav
DOI: 10.7910/dvn/hznjru/e352tc
title: fig1_cosine_similarities.R

description: :unav
DOI: 10.7910/dvn/hznjru/j13jkk
title: README.md

description: :unav
DOI: 10.7910/dvn/hznjru/sb6oft
title: exp2_stimuli_corrected.tab

description: :unav
DOI: 10.7910/dvn/hznjru/xqamnm
title: exp2_stimuli_as-shared.tab

description: :unav
DOI: 10.18112/openneuro.ds002307.v1.0.0
title: individual_dMRI_fMRI
DOI: 10.7910/dvn/igyxef/hxm4xc
title: Functions.Wildboot.R

description: Rfile
DOI: 10.7910/dvn/igyxef/jajoi7
title: readme.txt

description: README