cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/s79s8e/idfybu
title: 20230611_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/kbzaos
title: 20230514_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/kwbtg7
title: 20230406_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/lfqljc
title: 20230607_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/lvqhec
title: 20231201_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/nj2ycp
title: 20230529_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ovxcjq
title: 20230505_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/oya7bd
title: 20231007_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ptsy4l
title: 20231019_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/pyy3qq
title: 20230411_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/q6pywf
title: 20231231_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/qnivwb
title: 20230511_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/rfp4rw
title: 20231204_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/shdeay
title: 20230614_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/tkjf28
title: 20230417_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/whzvgp
title: 20230428_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/wlgnzj
title: 20230619_NYA_REDOBS_glo.txt
DOI: 10.18710/tgrolw/cuymbd
title: 20230305_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/ikfnrv
title: 20230321_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/obaqkv
title: 20230302_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/pw1tlx
title: 20230221_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/uzk3w1
title: 20230303_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/v2a6u5
title: 20230315_NYA_REDTEC_gal.txt
DOI: 10.18710/u4tlyv/bizxgu
title: longitudinal_doublet_3.mat
DOI: 10.18710/aa7qla/pupood
title: renv.lock
DOI: 10.18710/eqpirk/raufhz
title: Exp_shape_runback_Average.csv
DOI: 10.18710/s79s8e/cdthgr
title: 20230622_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/eendmp
title: 20230417_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/mousdo
title: 20230604_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/nsr8to
title: 20231119_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/q3hzij
title: 20230605_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/sqspxq
title: 20230709_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/xopjr6
title: 20230410_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/xwgl7y
title: 20230615_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ztf5we
title: 20230809_NYA_REDOBS_gps.txt
DOI: 10.18710/swf7ez/z4t3hp
title: 00_README.txt
DOI: 10.18710/tgrolw/6xnmaa
title: 20230202_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/9dzus0
title: 20230122_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/aovdgd
title: 20230331_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/u0bpcm
title: 20230314_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/yy3h6v
title: 20230206_NYA_REDTEC_gps.txt
DOI: 10.18710/tynihf
title: GNSS Total Electron Content Data (60 s) at Hopen in 2023

description: &lt;p&gt;This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, Svalbard.

The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.&lt;/p&gt;

&lt;p&gt;A detailed description of the data structure and format is gathered in the documentation data set: &lt;i&gt;Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, &lt;A HREF="https://doi.org/10.18710/EA5BYX"&gt;https://doi.org/10.18710/EA5BYX&lt;/A&gt;&lt;/i&gt;
&lt;/p&gt;
&lt;p&gt;&lt;b&gt;This data set is part of a larger collection: &lt;i&gt;Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. &lt;A HREF="https://doi.org/10.18710/AJ4S-X394"&gt;https://doi.org/10.18710/AJ4S-X394&lt;/A&gt;.&lt;/i&gt;&lt;/b&gt;
&lt;/p&gt;
description: Matlab, R2018a
description: Hopen TEC 60 s
DOI: 10.18710/u4tlyv/0su49n
title: longitudinal_3211_5.mat
DOI: 10.18710/atcqzw/7k1p7k
title: under.csv
DOI: 10.18710/atcqzw/lxc5dk
title: sixty.csv
DOI: 10.18710/atcqzw/uaiflj
title: against.csv
DOI: 10.18710/bstyxu/bh0y3b
title: LockIn_points.txt
DOI: 10.18710/eqpirk/4y0gpn
title: Spanwise_ridge_StdDev.csv
DOI: 10.18710/eqpirk/rqjcpw
title: Turbulator_StdDev.csv
DOI: 10.18710/eqpirk/zc2fav
title: Clean_Average.csv
DOI: 10.18710/fkg7yx
title: Replication Data for: Reflexiones metodológicas y teóricas sobre el análisis de marcadores pragmáticos: ilustraciones a través del estudio de «es que»

description: &lt;b&gt;Dataset abstract&lt;/b&gt;
&lt;p&gt;This dataset contains one data file used to create the graphs and tables in the paper "Reflexiones metodológicas y teóricas sobre el análisis de marcadores pragmáticos: ilustraciones a través del estudio de «es que»". It includes 200 tokens of the pragmatic marker &lt;i&gt;es que&lt;/i&gt;. These were retrieved from CORMA, a conversational corpus of peninsular Spanish compiled between 2016 and 2019. The data are annotated for: (i) the position of &lt;i&gt;es que&lt;/i&gt; in the speech act, (ii) the function of &lt;i&gt;es que&lt;/i&gt; on the metadiscursive dimension, (iii) the presence or absence of a function on the modal dimension, (iv) the function of &lt;i&gt;es que&lt;/i&gt; on the modal dimension, (v) the subvalue of &lt;i&gt;es que&lt;/i&gt; with regard to attenuation.&lt;/p&gt;
description: &lt;b&gt;Article abstract&lt;/b&gt;
&lt;p&gt;Although pragmatic markers were considered a marginal linguistic category until the late 1980s, their study has gained considerable attention in recent decades. However, analyzing their pragmatic functions involves multiple challenges. These include the choice between emphasizing macro- or microfunctional categories, deciding on a semasiological or onomasiological approach, addressing their polyfunctionality in specific contexts, and establishing formal criteria to identify concrete pragmatic functions. This study aims to explore these theoretical and methodological options. It is exemplified through a case study of the marker &lt;i&gt;es que&lt;/i&gt;, as observed in the colloquial speech of Madrid. Using a representative sample from the CORMA corpus (Corpus Oral de Madrid), it is argued that &lt;i&gt;es que&lt;/i&gt; functions as a polyfunctional pragmatic marker with procedural meaning, whose interpretation is shaped by context, and whose analysis requires a multidimensional approach.&lt;/p&gt;
description: MS Excel
DOI: 10.18710/ivsil3/5xxb7b
title: 20231026_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/63m4cn
title: 20230411_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/b1cwim
title: 20230827_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/c1eohu
title: 20231221_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/fxnrwo
title: 20231111_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/hp1joa
title: 20231109_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/k2wob7
title: 20231108_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/kjkjsr
title: 20231210_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/zcdovv
title: 20231012_KHO_REDOBS_glo.txt
DOI: 10.18710/s79s8e/aablf2
title: 20230929_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/jnb9ir
title: 20230603_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/lnnhmh
title: 20230617_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/qox9hc
title: 20230624_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/skc8bw
title: 20231205_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/uucxwd
title: 20230521_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/wadyql
title: 20230702_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/xhxnnw
title: 20230504_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/xwanec
title: 20230623_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/yllsgi
title: 20230722_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/z0mrxm
title: 20230509_NYA_REDOBS_gal.txt
DOI: 10.18710/tgrolw/0svyci
title: 20230104_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/bz89ym
title: 20230106_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/ewsfto
title: 20230608_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/nydgtl
title: 20230327_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/rgl76x
title: 20230207_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/rmujmw
title: 20230328_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/uadzpu
title: 20230120_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/vgwnuz
title: 20230118_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/wcmxjj
title: 20230305_NYA_REDTEC_gps.txt
DOI: 10.18710/u4tlyv/c0tzfl
title: lateral_doublet_4.csv
DOI: 10.18710/u4tlyv/jrsjxn
title: longitudinal_3211_1.mat
DOI: 10.18710/uwxphw/xom5hp
title: 00_README.txt

description: Readme-file containing a description of the data files and code.
DOI: 10.18710/xakjy6
title: Replication Data for: A Model-Based Framework for Developing Security-Safety Incident Response Plans

description: &lt;p&gt; This data set contains 33 modeling diagrams used to model incident response procedures in security-safety incident response from two Norwegian oil and gas companies. The file set includes all diagrams in .png format depicting different perspectives on role responsibilities and interactions during the incident response used for analysis. &lt;/p&gt; 
&lt;p&gt; The diagrams were based on empirical findings using two case studies from the Norwegian oil and gas industry, by conducting semi-structured interviews, document analysis, and multiple meetings. However, the empirical findings are not reported here since they are not permitted to be shared. &lt;/p&gt;
description: Abstract from publication:
&lt;p&gt; Cyberattacks are increasingly affecting the safe operation of critical infrastructure (e.g., energy, manufacturing) and potentially endangering production, people, equipment, and the environment. A cyber-incident with physical consequences requires personnel responsible for aggregating log information, analyzing root cause (i.e., cybersecurity), and ensuring the production and safe operation of safety-critical systems (i.e., safety) to collaborate. For this, they must understand their own and each other's roles in the incident response process, as well as when and how to interact with different roles. To address this problem, this paper proposes a framework that utilizes a model-based approach to illustrate the critical roles and their interactions within a security-safety incident response plan. To demonstrate its applicability, the framework was applied in a qualitative study within the Norwegian oil and gas industry, involving two companies. 
This research sheds light on the relevance of applying a model-based approach to developing security and safety incident response plans for organizations. It investigates the relevance of using two modeling languages: a general-purpose software systems modeling language, the Unified Modeling Language (UML), and an enterprise process workflow modeling language, the Business Process Modeling Notation (BPMN), for visualizing the security-safety incident response plan. The findings indicate that the modeling languages are suitable and relevant for understanding and discussing the collaboration and coordination of different personnel's roles during security-safety incident response. The distinct diagrams highlight various aspects, including roles, transmitted information, tasks, and the sequence of tasks. Future work should consider how the diagrams can be applied during the training and learning of the incident response plans. &lt;/p&gt;
description: PlantUML, V1.2025.0
description: Draw.io, 24.7.17
description: BPMN.io, v17.11.1
DOI: 10.18710/atcqzw/gutysf
title: however.csv
DOI: 10.18710/e9y4mu
title: Supporting data for: Postglacial history of a widespread forest fungus in Europe suggests migration out of multiple refugia followed by admixture

description: While postglacial migration patterns have been well-studied in plants and animals in Europe, the same is not true for microorganisms such as fungi, and it remains unclear whether fungi have followed the same postglacial migration trajectories. 
Our main aim in this study was to trace the post-glacial history of the wood decay fungus T. abietinum in Europe by asking whether recolonization of northern Europe has happened from multiple refugia. We hypothesise that T. abietinum has co-migrated together with its main host trees from different Southern and Eastern European refugia. Further, we ask if there has been secondary contact between lineages spreading from separate refugia, and whether contact zones among them can be found. Since the fungus has multiple host tree species that resided in different refugia, we hypothesize that admixture of lineages from different refugia has taken place, leading to a complex genetic structure in European populations of T. abietinum. To test these hypotheses, we conducted detailed population genomic analyses of genetic diversity and demographic history based on available full genome sequences of a large set of European samples of T. abietinum.
description: BWA, 0.7.17
description: GATK4, 1.4.0
description: BCFtools, 1.10.2
description: PLINK, 1.9
DOI: 10.18710/ivsil3/c5rpfe
title: 20231213_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/fojxjm
title: 20231213_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/0sdcvo
title: 20230720_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/1blpwv
title: 20230411_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/4enbck
title: 20231002_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/5w0htv
title: 20230510_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/7ptpsj
title: 20230606_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/9zdsce
title: 20231229_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/bbcd2w
title: 20231005_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/bjtxjz
title: 20230929_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/bx2vkr
title: 20230727_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/cx134y
title: 20231205_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/ibowvo
title: 20230519_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/j0f6c0
title: 20230429_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/jek8ix
title: 20231120_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/k0lnen
title: 20230817_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/ksmtpm
title: 20231230_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/ljrvsh
title: 20231111_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/lrelbn
title: 20230424_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/p0qo70
title: 20231026_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/sp2nj3
title: 20230410_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/u8ojns
title: 20230522_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/uhz5qe
title: 20231215_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/vwv6m7
title: 20231024_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/yy2par
title: 20230618_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/yyrt0b
title: 20230901_KHO_REDOBS_gps.txt
DOI: 10.18710/s79s8e/8cwbzb
title: 20230906_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/bcbmvk
title: 20230803_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/fga1na
title: 20230817_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/gbki3i
title: 20230731_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/gncxbc
title: 20230906_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/iqtlly
title: 20230723_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/jzg8c5
title: 20230801_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/lvvjb7
title: 20231109_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/pzrbmd
title: 20230427_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/rgh6ke
title: 20230901_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/sgtgbf
title: 20230707_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/xaa6yr
title: 20230618_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/zk4wgp
title: 20230922_NYA_REDOBS_glo.txt
DOI: 10.18710/atcqzw/elgcml
title: was.csv
DOI: 10.18710/atcqzw/xijg8o
title: began.csv
DOI: 10.18710/eqpirk/8uvt59
title: Fine_mesh.cgns
DOI: 10.18710/eqpirk/jxvy2q
title: Thick_mesh.csv
DOI: 10.18710/ivsil3/h0tyll
title: 20231217_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/jz6el7
title: 20231018_KHO_REDOBS_glo.txt
DOI: 10.18710/ivsil3/qdfbkb
title: 20231203_KHO_REDOBS_gps.txt
DOI: 10.18710/ohp3o3/rqzhyt
title: PhonRed_Participants.csv

description: Sociodemographic and linguistic information about the participants.
DOI: 10.18710/s79s8e/3vy9g9
title: 20230819_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/4j8bpl
title: 20230823_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/8rxmjd
title: 20230718_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/h2bc1z
title: 20230812_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/lwndjo
title: 20230702_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/nu0pe4
title: 20230815_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/pbtpzl
title: 20230812_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/qk3e7p
title: 20230725_NYA_REDOBS_gps.txt
DOI: 10.18710/zojhgj/xgezhb
title: Scripts and function.zip

description: When unzipped contains the Matlab and Python scripts used
DOI: 10.18710/atcqzw/ahcl0n
title: including.csv
DOI: 10.18710/atcqzw/jjc254
title: pence.csv
DOI: 10.18710/atcqzw/nwvt0z
title: they.csv
DOI: 10.18710/atcqzw/obnmjb
title: actually.csv
DOI: 10.18710/atcqzw/ul841a
title: just.csv
DOI: 10.18710/atcqzw/xvdcdm
title: inc.csv
DOI: 10.18710/ivsil3/2chxxy
title: 20231211_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/arl7vh
title: 20231124_KHO_REDOBS_gps.txt
DOI: 10.18710/ivsil3/m0e7q6
title: 20231004_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/tozt8v
title: 20231024_KHO_REDOBS_gal.txt
DOI: 10.18710/ivsil3/vbszta
title: 20231003_KHO_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ph1r6k
title: 20231002_NYA_REDOBS_gal.txt
DOI: 10.18710/atcqzw/ai5ipi
title: take.csv
DOI: 10.18710/atcqzw/q4u5w5
title: into.csv
DOI: 10.18710/gnfrhz
title: Data for: Lifetime Estimation based on HVDC Breakdown Strength of Thin Films Peeled from Fresh and PQ-Tested 525 kV DC-XLPE Cables

description: This dataset is considered an add-on to a conference paper that has not been published yet. The information in the paper are in part crucial to understand the dataset. The dataset contains raw data, processed data and additional diagrams to the study described in the paper.
description: Matlab, 2023b
DOI: 10.15468/dl.yym3kb
title: Occurrence Download

description: A dataset containing 88320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhododendron ferrugineum L., Rhododendron hirsutum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September",
 "Continent is Europe"
 ]
}

 The dataset includes 88320 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021860-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48338/vu01-v2tdj3
title: It Aint Easy: Using Normatively Motivated News Diversification to Facilitate Policy Support, Tolerance, and Political Participation

description: This archive stores data from a between-subjects experiment on the effect of exposure diversity on policy support, tolerance, and political participation. In a 2x3 experimental set-up, we tested how different levels of diversity in terms of the extent to which news feeds feature minorities and emotionally activating content.

The study took place in the Netherlands in mid 2023 and involved N = 715 respondents who successfully completed the study.

The archive includes raw data, processed data and analysis files from a rbetween-subjects experiment, as well as other relevant materials that were used.
DOI: 10.48338/vu01-dqqpws
title: Nudges For News Recommenders: Prominent Article Positioning Increases Selection, Engagement and Recall of Environmental News, but Reducing Complexity Does Not

description: This archive stores data from a one-week long field experiment on nudging readers to engage with environmental news in a news aggregator. Specifically, we conducted a 1-week long field experiment with the Informfully news platform - a customisable content delivery platform developed by researchers at the University of Zurich. We populated the app with daily scraped news articles from several major UK news outlets and tested how manipulating the prominence and text complexity of environmental news affect their likelihood of being selected and recalled.

The study took place in the UK in the fall of 2023 and involved N = 502 respondents who successfully completed the study.

The archive includes raw and processed data, analysis files, and relevant study materials. A detailed description of the study and its materials is also available on OSF: https://osf.io/8zfn5/
DOI: 10.48338/vu01-159w4t
title: Nudging News Readers : A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection

description: Archived Data from mixed-methods study into the effects of article position and interface nudges on news selection. 

Includes raw data, processed data and analysis files from a repeated-measures experiment and a qualitative follow-up study, as well as other relevant materials that were used.

Published as Mattis, N., Groot Kormelink, T., Masur, P. K., Moeller, J., & van Atteveldt, W. (2024). Nudging News Readers: A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection. Digital Journalism, 1–21. https://doi.org/10.1080/21670811.2024.2350464
DOI: 10.15468/dl.gzazjh
title: Occurrence Download

description: A dataset containing 20462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 20462 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021862-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27257349
title: <b>Supplementary Materials for "Molecular and clinical profiles of pediatric monogenic diabetes subtypes: comprehensive genetic analysis of 138 patients"</b>

description: <b>Summary: </b>Our study aimed to evaluate the clinical and genetic characteristics of Chinese children with suspected monogenic diabetes using next generation sequencing methods and includes the data below as a supplementary material which provide more details about this cohort:Suppl. Figure 1 The overall workflow in the retrospective study.Suppl. Table1. List of the 115 genes linked to dysglycemia in the next-generation sequencing-based panel.Suppl. Table 2. Novel variants identified in this study.Suppl. Table 3. The CNVs identified from WES data in 4 patients in our cohort.Suppl. Table 4. Extrapancreatic features in addition to diabetes/hyperglycemia in 35 patients.Suppl. Table 5. List of the reports on monogenic diabetes from China.<br><br><br><br>
DOI: 10.6084/m9.figshare.27257349.v1
title: <b>Supplementary Materials for "Molecular and clinical profiles of pediatric monogenic diabetes subtypes: comprehensive genetic analysis of 138 patients"</b>

description: <b>Summary: </b>Our study aimed to evaluate the clinical and genetic characteristics of Chinese children with suspected monogenic diabetes using next generation sequencing methods and includes the data below as a supplementary material which provide more details about this cohort:Suppl. Figure 1 The overall workflow in the retrospective study.Suppl. Table1. List of the 115 genes linked to dysglycemia in the next-generation sequencing-based panel.Suppl. Table 2. Novel variants identified in this study.Suppl. Table 3. The CNVs identified from WES data in 4 patients in our cohort.Suppl. Table 4. Extrapancreatic features in addition to diabetes/hyperglycemia in 35 patients.Suppl. Table 5. List of the reports on monogenic diabetes from China.<br><br><br><br>