cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fx537tpw6f.2
title: Raw Data Results: Survey on Bridging the Skills Gap

description: Raw data results for the survey, which bridges the gap between software industry and academia. - What are the most important (e.g., used) KAs and SE topics in the software industry? What are the knowledge gaps and coverage of the industry expectations after university education? - How does educational skill set of the practitioner affect software modeling approach and practices? - What are the most important soft skills in the industry? Is there any course in the academic curriculum, which improved these skills? - What are the opinions of software practitioners for more IAC as a part of the education? - How do practitioners see academics? What are their perceptions about academics and academic outputs? Note that "surveyForm" file is PDF version of the questionnaire, which was prepared with the Google Forms
DOI: 10.25439/rmt.15001230.v2
title: The Australian National Liveability Study 2018 datasets: spatial urban liveability indicators for 21 cities

description: The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.<br>
DOI: 10.5066/p98qfbj3
title: South Florida Holocene Coral Sea-level Database

description: Holocene-aged coral samples from the south Florida region were extensively characterized to create a new database of verified sea-level data (Stathakopoulos and others, in review). The samples were originally collected using coral-reef coring or other geologic sampling methods and were obtained by several different researchers from studies spanning the interval of 1977 to 2017. Many of these samples are presently stored in the U.S. Geological Survey (USGS) Core Archive at the St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (https://doi.org/10.5066/F7319TR3). USGS staff compiled all relevant information from the publications pertaining to each sample and then, if the samples were available in the USGS Core Archive, researchers performed visual analyses to characterize the taphonomic condition and to determine if samples were in situ (growth position). Samples were then assigned a rank (from 0-3, with 0 being the highest rank) to indicate their quality and reliability for use as sea-level indicators based on a combination of the information from the publications and analyses results. This research is a part of the USGS Coral Reef Ecosystem Studies Project (https://www.usgs.gov/centers/spcmsc/science/coral-reef-ecosystem-studies-crest). Stathakopoulos, A., Riegl, B.M., Toth, L.T., 2020, A revised Holocene coral sea-level database from the Florida reef tract, USA: PeerJ 8:e8350, https://doi.org/10.7717/peerj.8350.
DOI: 10.5281/zenodo.3387216
title: Geomagnetic field variations recorded at EMMA

description: This data set contains daily files of 1-sec geomagnetic field variations from 28 stations of the European quasi-Meridional Magnetometer Array (EMMA) collected on selected periods in the year interval 2012–2017. The periods considered and the stations available for each one of them are the following: 2012/09/22-2012/12/01 AQU,BEL,BRZ,HAN,IVA,KEV,KIL,MAS,MEK,MUO,NUR,OUJ,PEL,RNC,SOD,SUW,SZC,TAR,ZAG 2013/03/13-2013/03/27 AQU,BEL,BRZ,HAN,HLP,IVA,KEV,KIL,MAS,MEK,MUO,NCK,NU2,OUJ,PEL,RNC,SOD,SUW,SZC,TAR,THY,ZAG 2013/05/25-2013/06/11 AQU,BEL,BRZ,CST,HAN,IVA,KEV,MAS,MEK,MUO,NCK,NU2,NUR,OUJ,PEL,RNC,SOD,SUW,TAR,ZAG 2014/02/14-2014/03/09 BEL,BRZ,HAN,IVA,KEV,KIL,LOP,MAS,MEK,MUO,NU2,OUJ,PEL,SOD,SUW,TAR,THY,VYH,ZAG 2015/03/13-2015/03/31 BEL,BRZ,CST,HAN,HLP,IVA,KEV,MAS,MEK,MUO,NU2,OUJ,PEL,PPN,RNC,SOD,SUW,TAR,THY,VYH,ZAG 2015/06/18-2015/06/27 BEL,BRZ,HAN,HLP,IVA,KEV,LOP,MAS,MEK,MUO,NU2,OUJ,PEL,RAN,SOD,SUW,TAR,THY,VYH,ZAG 2017/05/26-2017/06/02 AQU,BEL,BRZ,HAN,IVA,KEV,KIL,LOP,MAS,MUO,NUR,OUJ,PEL,RAN,RNC,SOD,SUW,TAR,THY,VYH,ZAG The header lines in each file indicate the station name, geodetic coordinates, and the reference frame (HDZ or XYZ). Data are expressed in nanoTesla. Missing data are represented by 99999.99.
DOI: 10.5281/zenodo.6928712
title: Dayside EMMA-RBSP conjunctions during variable geomagnetic conditions

description: This data set contains a list of simultaneous observations of electron number density and plasma <br> mass density at the magnetic equator, during variable geomagnetic conditions. The equatorial electron number density is obtained by re-scaling Van Allen Probes (RBSP) observations <br> using a dipole field approximation to describe the portion of the field line from the satellite to the<br> equatorial crossing point and assuming a decay rate of <em>r</em><sup>−1</sup>. Original electron density data set is <br> determined using the Neural-network-based Upper-hybrid Resonance Determination (NURD) algorithm <br> (Zhelavskaya et al., 2016) and is available at https://doi.org/10.5880/GFZ.2.8.2020.002. The equatorial plasma mass density is inferred from field line resonances estimated by magnetic signal <br> detected at the European quasi-Meridional Magnetometer Array (EMMA). The original geomagnetic field data <br> are available from https://zenodo.org/record/3387216, and detailed information on the method used to infer<br> the plasma mass density is described by Del Corpo et al. (2019). The analysis is limited to daytime hours and to the periods: 2012/09/22-2012/12/01 2013/03/13-2013/03/27 2013/05/25-2013/06/11 2014/02/14-2014/03/09 2015/03/13-2015/03/31 2015/06/18-2015/06/27 2017/05/26-2017/06/02 A conjunction between the plasma mass density measure and the electron number density measure is <br> identified when they differ in UT by at most 1 h and refer to positions that differ at most by <br> ∆<em>r</em>/<em>r</em> = 0.05 and ∆MLT = 0.5 h, where <em>r</em> is the geocentric distance, and MLT is the magnetic local time. Besides the densities values and their uncertainties, the data set contains date in universal time, <br> magnetic local time and radial distance of both measures, as well as a label to identify the probe <br> (A or B) and a flag indicating if the conjunction refers to the plasmasphere or the plasmatrough region.
description: {"references": ["Del Corpo, Alfredo et al. (2019). Observing the cold plasma in the Earth's magnetosphere with the EMMA network, ANNALS OF GEOPHYSICS, 62, 4, GM447. doi: https://doi.org/10.4401/ag-7751", "Zhelavskaya, Irina S. et al. (2016). Automated determination of electron density from electric field measurements on the Van Allen Probes spacecraft. Journal of Geophysical Research: Space Physics, 121 (5), 4611-4625. doi: https://doi.org/10.1002/2015JA022132"]}
DOI: 10.7909/c3h41pbz
title: Peru Subduction Experiment
DOI: 10.1285/i24212113v6i2-2p71
title: African climate activism, media and the denial of racism: The tacit silencing of Vanessa Nakate

description: Critical social studies have highlighted the varied methods by which climate activism is reproduced in discourse. This paper examines an incident in which an African youth climate activist, Vanessa Nakate, had her image cropped out of a media photograph taken at the World Economic Forum. Our analysis focuses on three media-based interactions with Vanessa, including two interviews with local (Ugandan) television stations and one interview with a South African broadcaster. Our analysis utilizes discursive psychology (DP) and conversation analysis (CA) to highlight and problematize the discursive and interactional strategies employed by speakers in these interviews. We note three discursive methods by which Vanessa's activism is challenged: a challenge to her ability to represent ‘African' climate activists; an undermining of Vanessa's claim that her exclusion was racially motivated; and a discourse of emotionality as foregrounding irrationality and incompetence. These three discursive strategies serve to delegitimize Vanessa's larger claim of a racially motivated act, positioning her as a naïve subject acting alone from a point of self-interest. We discuss the implications of our findings for future research in community psychology and African climate activism.
DOI: 10.5281/zenodo.7093196
title: James-S-Santangelo/umc: Updates prior to publication

description: Removing unnecessary function definitions and function calls Removing files not longer part of manuscript Fixing typos Updating main README
DOI: 10.1285/i24212113v6i2-2p22
title: Seeing more clearly: Communities transforming towards justice in post-hurricane Puerto Rico

description: This study explored how a process of community transformation emerged in post-hurricane Puerto Rico. Most post-disaster research focuses on community and personal losses while little is known about strengths and positive outcomes. In the aftermath of Hurricanes Irma and María in 2017, vast structural injustices in Puerto Rico were made visible. Government aid for recovery was insufficient. Further, small, socioeconomically challenged communities received aid months after the main metropolitan area. In the midst of this collective trauma, accounts arose of transformative initiatives promoting climate justice and participatory democracy emerging across Puerto Rico. In this grounded theory study, residents from different communities in Puerto Rico (N=69) shared their post-disaster experiences. Results revealed a phase-based theoretical model of post-disaster community transformation. After experiencing collective trauma(s) — including both natural disasters and unjust delivery of recovery aid — community residents unanimously reported helping one another. In communities where leaders' vision extended beyond reconstruction to pre-disaster levels, a process of transformation began. A series of psychological mechanisms facilitated or inhibited this process. Facilitators included a sense of community, posttraumatic growth, and critical consciousness. Barriers included leader burnout and interpersonal tensions. Community psychologists who are committed to climate justice issues can play a key role in strengthening post-disaster community transformation efforts through research, policy, and programming.
DOI: 10.3886/icpsr06741.v2
title: Dutch Parliamentary Election Panel Study, 1989-1994
title: Version 2

description: The Dutch Parliamentary Election Panel Study, 1989-1994, was conducted within the framework of the Dutch Parliamentary Election Studies. The survey was administered in three waves, one before and one after the election in 1989, and the third following the election in 1994. In the first wave, respondents provided information on their interest in politics, what they considered the most important national problem, how they intended to vote in the upcoming election, political party membership and affiliation, attitudes toward government policies and officials, opinions on political and social issues such as abortion, nuclear energy, income differences, and environmental pollution, and a variety of personal and demographic characteristics. Many first-wave items were repeated in the second and third waves. For these waves, respondents also reported the name of the party they had voted for in the election and their reasons for doing so. Other variables recorded voter perceptions of the stance of various political parties on issues such as euthanasia, nuclear weapons, and economic concerns, voter knowledge of national politicians, rating of political parties based on a 10-point left-right scale, attitudes toward politics and the effectiveness of government, union membership, and opinions on European unification. Respondents were also asked to describe how they would participate in the governing process if they thought that the Second Chamber of Parliament was about to consider a bill that the voter thought unjust and, in addition, to state which national goals should receive the highest priority.
description: Datasets: 
 
 DS1: Dataset
description: Dutch Parliamentary Election Study (DPES) Series
description: The data file contains string variables that are 255 characters long. Due to SAS limitations, these variables were split in the SAS data definition statements. As a result, 491 variables are identified in the SAS data definition statements.
For documentation on the first two waves of this survey, users must refer to the codebook for DUTCH PARLIAMENTARY ELECTION STUDY, 1989 (ICPSR 9950).
The data collection instruments are written in Dutch.
description: Members of the Dutch electorate at the time of the 1989 and 1994 parliamentary elections.
description: A sample of 4,000 households was drawn from the Geographic Base Register, which is based to a large extent on the national mail delivery register of the Netherlands. From all eligible citizens within each household, one person was randomly selected by interviewing the person whose birthday was first. No substitution by another person was allowed in the case of refusal, no-contact, or other factors precluding an interview.
DOI: 10.7284/129330
title: Expendable Probe data collected during research cruise FK180415 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129333
title: Fluorometer data collected during research cruise FK180415 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7580945
title: Additional file 2: of Manhattan Harvester and Cropper: a system for GWAS peak detection

description: R files showing the computer code used for modeling. (ZIP 2â kb)
DOI: 10.7284/129327
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180415 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129326
title: Gyrocompass data collected during research cruise FK180415 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7580930
title: MOESM1 of Pathogenicity and immunogenicity of attenuated porcine epidemic diarrhea virus PC22A strain in conventional weaned pigs

description: AdditionalÂ fileÂ 1: Raw data of fecal consistency, fecal PEDV RNA shedding titers, serum antibody titers, and ELISpot of the four groups of pigs. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.7580930.v1
title: MOESM1 of Pathogenicity and immunogenicity of attenuated porcine epidemic diarrhea virus PC22A strain in conventional weaned pigs

description: AdditionalÂ fileÂ 1: Raw data of fecal consistency, fecal PEDV RNA shedding titers, serum antibody titers, and ELISpot of the four groups of pigs. (XLSX 21 kb)
DOI: 10.7284/129334
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK180415 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129396
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180420 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129395
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK180420 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129398
title: Fluorometer data collected during research cruise FK180420 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129394
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180420 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129393
title: Gyrocompass data collected during research cruise FK180420 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129399
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK180420 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129532
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180528 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7580849
title: Additional file 3: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S5. Details of 55 samples submitted for metagenomic sequencing. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7580852
title: Additional file 4: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S6. Relative abundance of bacterial families in shams. Table S7. Relative abundance of bacterial families in experimental samples. (XLSX 36 kb)
DOI: 10.7284/129530
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK180528 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7580849.v1
title: Additional file 3: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S5. Details of 55 samples submitted for metagenomic sequencing. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7580852.v1
title: Additional file 4: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S6. Relative abundance of bacterial families in shams. Table S7. Relative abundance of bacterial families in experimental samples. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.7580837
title: Additional file 2: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S3. Simplicial linear regression summary. Table S4. Regression coefficients and P-values. (XLSX 15 kb)
DOI: 10.7284/129531
title: Expendable Probe data collected during research cruise FK180528 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7580834
title: Additional file 1: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S1. ANCOM results. Table S2 Calculation of bacterial genera conservation in laboratory-colonized samples. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.7580834.v1
title: Additional file 1: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S1. ANCOM results. Table S2 Calculation of bacterial genera conservation in laboratory-colonized samples. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.7580837.v1
title: Additional file 2: of Generational conservation of composition and diversity of field-acquired midgut microbiota in Anopheles gambiae (sensu lato) during colonization in the laboratory

description: Table S3. Simplicial linear regression summary. Table S4. Regression coefficients and P-values. (XLSX 15 kb)
DOI: 10.7284/129534
title: Fluorometer data collected during research cruise FK180528 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129529
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180528 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129528
title: Gyrocompass data collected during research cruise FK180528 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129536
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK180528 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129670
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180624 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129668
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK180624 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129669
title: Expendable Probe data collected during research cruise FK180624 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129672
title: Fluorometer data collected during research cruise FK180624 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129667
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180624 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition