cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.26053501.v1
title: Quantitative responses and demographic data for barriers to coding project

description: A mixed methods study investigating potential barriers and drivers amongst undergraduate physics students linked to their prior experience (or lack of) with learning to code before coming to university to study. The context underpinning this work is that all accredited physics programmes in the UK are required to teach at least one coding language as part of their curriculum. This requirement could introduce or widen the attainment gap between students who have the opportunity to learn to code prior to attending university (via school, family members or local clubs) and those who do not.This study adopted a mixed methods approach via a survey sent to 5 UK institutions containing scale and free text questions. The first question differentiated respondents between Prior experience and No Prior experience, allowing for differences between these groups to be investigated. Demographic information was also collected to investigate potential gender and/or ethnicity effects on coding experience.Ethical approval was obtained at the University of Sheffield (Reference Number 030865)
DOI: 10.15468/dl.55hpk9
title: Occurrence Download

description: A dataset containing 476564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tilia americana L., Tilia amurensis Rupr., Tilia callidonta Hung T.Chang, Tilia americana L., Tilia chinensis Maxim., Tilia chingiana Hu & W.C.Cheng, Tilia concinna Pigott, Tilia cordata Mill., Tilia dasystyla Steven, Tilia endochrysea Hand.-Mazz., Tilia henryana Szyszyl., Tilia hyrcana Tabari & Colagar, Tilia japonica (Miq.) Simonk., Tilia kiusiana Makino & Shiras. ex Shiras., Tilia mandshurica Rupr. & Maxim., Tilia maximowicziana Shiras., Tilia miqueliana Maxim., Tilia mongolica Maxim., Tilia nobilis Rehder & E.H.Wilson, Tilia oliveri Szyszyl., Tilia paucicostata Maxim., Tilia platyphyllos Scop., Tilia sabetii H.Zare, Tilia tomentosa Moench, Tilia tuan Szyszyl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 476564 records from 2058 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015852-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpdtyj
title: Occurrence Download

description: A dataset containing 814775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-09-12",
 "EventDate is less than or equal to 2024-10-12",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 814775 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000849-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d35ph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bacillariophyta"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000924-241107131044228/datasets/export for details.
DOI: 10.15468/dl.bnx8cy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((119.729 33.41593, 119.8592 33.41593, 119.8592 33.51124, 119.729 33.51124, 119.729 33.41593))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000925-241107131044228/datasets/export for details.
DOI: 10.6084/m9.figshare.27633195
title: Metatranscriptome_COPD

description: This dataset includes the processed abundance matrices for all BioCyc-derived metabolic pathways, and PFAMs with taxonomic break-down for 40 fecal samples from COPD patients sampled at the time of their lung cancer diagnosis.The dataset included comprehensive metadata on COPD-comorbidity and lung function parameters along with basic patient data.Citation:Dora D, Revisnyei P, Mihucz A, Kiraly P, Szklenarik G, Dulka E, Galffy G and Lohinai Z (2024) Metabolic pathways from the gut metatranscriptome are associated with COPD and respiratory function in lung cancer patients. Front. Cell. Infect. Microbiol. 14:1381170. doi: 10.3389/fcimb.2024.1381170
DOI: 10.15468/dl.dbzwje
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.81647 7.68712,-75.14078 3.66666,-54.0874 7.47097,-57.5891 18.49481,-81.23632 33.71204,-102.07355 28.56758,-101.59801 14.60404,-93.81647 7.68712))",
 "OccurrenceStatus is Present",
 "TaxonKey is Mithraculus sculptus (Lamarck, 1818)"
 ]
}

 The dataset includes 692 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000927-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdf3gw
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atimia confusa (Say, 1827)"
 ]
}

 The dataset includes 616 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007987-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12783624
title: Seismicity patterns and multi-scale imaging of Krafla (N-E) Iceland with local earthquake tomography: Raw event waveforms and manual picks for temporary network

description: This Data and Software were used in the submitted paper  "Seismicity patterns and multi-scale imaging at Krafla (N-E Iceland) wih local earthquake tomography" by Glück et al.The data and software provided here are used to compute the high-resolution velocity model with TomoTV (The same workflow was used for the industrial data)This code was used to prepare the manual picks as the input files for a localisation with NonLinLoc by weighting and quality checking the data. This resulting localsitations and the weighted traveltimes are then used for the LET

Data:- Raw data (\WaveformsNodes): 5s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/2022 recorded with the temporary network of 98 temporary nodes in June and July 2022- Pickfile (ManualPicks_100Nodes_Kafla2022.txt): Manual picks of the events listed in the ISOR catalogue

Software (Hyp_format.py):-  Weighting: The picks are weighted according to their Signal-to-Noise ratio (described in more detail in Section 2.3 in the main text of the paper)-  Writing the inputfile for NonLinLoc (with the selecting the mode option "PorS" in line 118), including all picks, also for those stations where not both phases were picked. The file "endfile.txt" is needed to write the picks to the NonLinLoc input format.-  Quality check of the picks: Computing a modified Wadati diagram from the traveltime differences of P and S phases for all the events available (with the selecting the mode option "PandS" in line 118)-  Python packages needed: numpy, scipy, matplotlib, pandas, obspy
DOI: 10.5281/zenodo.13842962
title: Seismicity patterns and multi-scale imaging of Krafla (N-E) Iceland with local earthquake tomography: Raw event waveforms for all events used in the inversion and manual picks for temporary network

description: This Data and Software were used in the submitted paper  "Seismicity patterns and multi-scale imaging at Krafla (N-E Iceland) wih local earthquake tomography" by Glück et al.The data and software provided here are used to compute the velocity models with TomoTV.The raw data (.mseed format) can be visualised with the Python package Pyrocko/Snuffler, which was also used for the arrival time picking.For the temporary network the manual picks are provided along with the code to prepare the manual picks as the input files for a localisation with NonLinLoc by weighting and quality checking the data. This resulting localsitations and the weighted traveltimes are then used for the LET.The same workflow was used for the picks from the permanent network.

Data:- Raw data (\WaveformsPermanentStations): 7s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/ for the years 2021 and 2022.- Raw data (\WaveformsNodes): 5s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/2022 recorded with the temporary network of 98 temporary nodes in June and July 2022.- Pickfile (ManualPicks_100Nodes_Kafla2022.txt): Manual picks of the events listed in the ISOR catalogue for the evenst recorded with the temporary network.

Software (Hyp_format.py):-  Weighting: The picks are weighted according to their Signal-to-Noise ratio (described in more detail in Section 2.3 in the main text of the paper)-  Writing the inputfile for NonLinLoc (with the selecting the mode option "PorS" in line 118), including all picks, also for those stations where not both phases were picked. The file "endfile.txt" is needed to write the picks to the NonLinLoc input format.-  Quality check of the picks: Computing a modified Wadati diagram from the traveltime differences of P and S phases for all the events available (with the selecting the mode option "PandS" in line 118)-  Python packages needed: numpy, scipy, matplotlib, pandas, obspy
DOI: 10.5281/zenodo.15166137
title: Seismicity patterns and multi-scale imaging of Krafla (N-E) Iceland with local earthquake tomography: Raw event waveforms for all events used in the inversion and manual picks for temporary network

description: This Data and Software were used in the submitted paper  "Seismicity patterns and multi-scale imaging at Krafla (N-E Iceland) wih local earthquake tomography" by Glück et al.The data and software provided here are used to compute the velocity models with TomoTV.The raw data (.mseed format) can be visualised with the Python package Pyrocko/Snuffler, which was also used for the arrival time picking.For the temporary network the manual picks are provided along with the code to prepare the manual picks as the input files for a localisation with NonLinLoc by weighting and quality checking the data. This resulting localsitations and the weighted traveltimes are then used for the LET.The same workflow was used for the picks from the permanent network.

Data:- Raw data (\WaveformsPermanentStations): 7s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/ for the years 2021 and 2022.- Raw data (\WaveformsNodes): 5s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/2022 recorded with the temporary network of 98 temporary nodes in June and July 2022.- Pickfile (ManualPicks_100Nodes_Kafla2022.txt): Manual picks of the events listed in the ISOR catalogue for the evenst recorded with the temporary network.- Station file (Station_file.txt): The station file includes the coordinates (Lat, Lon, Elevation) of the permanent stations (StationID starting with K...) and of the temporary nodes (StationID starting with N...).

Software (Hyp_format.py):-  Weighting: The picks are weighted according to their Signal-to-Noise ratio (described in more detail in Section 2.3 in the main text of the paper)-  Writing the inputfile for NonLinLoc (with the selecting the mode option "PorS" in line 118), including all picks, also for those stations where not both phases were picked. The file "endfile.txt" is needed to write the picks to the NonLinLoc input format.-  Quality check of the picks: Computing a modified Wadati diagram from the traveltime differences of P and S phases for all the events available (with the selecting the mode option "PandS" in line 118)-  Python packages needed: numpy, scipy, matplotlib, pandas, obspy
DOI: 10.15468/dl.bth2rc
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orobanche minor subsp. minor"
 ]
}

 The dataset includes 394 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007988-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq7cu3
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acanthoscelis ruficornis (Fabricius, 1801))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007991-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.20288.05128
title: BLOCK HEADED OFFICERS
DOI: 10.13140/rg.2.2.35230.25925
title: The Estimation of Var with STATA Estimating Var with STATA using " lutkepohl2 " data
DOI: 10.13140/rg.2.2.29463.09120
title: FIRST RAID TOWARDS ANATOLIAN BORDER 641
DOI: 10.13140/rg.2.2.32399.10405
title: HABIB BIN MASLIMAS 641 RAID
DOI: 10.13140/rg.2.2.10038.22082
title: Leucobryum Moss
DOI: 10.13140/rg.2.2.12764.51848
title: MUAWIYA RAIDS CAPADOCIA AND IS REPULSED AT AMOROIUM 647 AD
DOI: 10.13140/rg.2.2.15595.67369
title: Berichterstattende Methode
DOI: 10.13140/rg.2.2.30066.02243
title: MUAWIYAS SUGGESTION OF FORMING ARAB NAVY IS REJECTED BY SECOND CALIPH BUT ACCEPTED BY THIRD CALIPH
DOI: 10.5281/zenodo.14062358
title: Accommodation Facilities and Ratings on Booking for 10 European Cities

description: This dataset, collected on 11/11/2024, includes data from 4,806 accommodations across 10 European cities: Barcelona, Reykjavík, Amsterdam, Prague, Sofia, Porto, Edinburgh, Berlin, Dubrovnik, and Innsbruck. With prices corresponding to the 16/07/2025 night (2 adults and 1 room), it features global ratings, and category scores like cleanliness, comfort, staff, and location, along with details on available amenities and accommodation types. The dataset also covers check-in/check-out policies, pet policies, exact addresses, and review counts. It is designed to analyze key factors to a positive accommodation experience, and it allows comparisons across cities and types of accommodations.
DOI: 10.5281/zenodo.14062359
title: Accommodation Facilities and Ratings on Booking for 10 European Cities

description: This dataset, collected on 09/11/2024, includes data from 4,765 accommodations across 10 European cities: Barcelona, Reykjavík, Amsterdam, Prague, Sofia, Porto, Edinburgh, Berlin, Dubrovnik, and Innsbruck. With prices corresponding to the 16/07/2025 night (2 adults and 1 room), it features global ratings, and category scores like cleanliness, comfort, staff, and location, along with details on available amenities and accommodation types. The dataset also covers check-in/check-out policies, pet policies, exact addresses, and review counts. It is designed to analyze key factors to a positive accommodation experience, and it allows comparisons across cities and types of accommodations.
DOI: 10.5281/zenodo.14080139
title: Accommodation Facilities and Ratings on Booking for 10 European Cities

description: This dataset, collected on 11/11/2024, includes data from 4,806 accommodations across 10 European cities: Barcelona, Reykjavík, Amsterdam, Prague, Sofia, Porto, Edinburgh, Berlin, Dubrovnik, and Innsbruck. With prices corresponding to the 16/07/2025 night (2 adults and 1 room), it features global ratings, and category scores like cleanliness, comfort, staff, and location, along with details on available amenities and accommodation types. The dataset also covers check-in/check-out policies, pet policies, exact addresses, and review counts. It is designed to analyze key factors to a positive accommodation experience, and it allows comparisons across cities and types of accommodations.
DOI: 10.15468/dl.w99cqu
title: Occurrence Download

description: A dataset containing 1553208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.63901 -33.09234,-69.54108 -33.09234,-69.54108 -24.58202,-72.63901 -24.58202,-72.63901 -33.09234))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2024"
 ]
}

 The dataset includes 1553208 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008504-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxxuhg
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apionichthys dumerili Kaup, 1858"
 ]
}

 The dataset includes 294 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008699-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrxdjb
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia ×semperflorens-cultorum H.K.Krauss"
 ]
}

 The dataset includes 173 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008698-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14083311
title: Dataset de productos congelados de 5oceanos

description: Este dataset contiene información sobre productos congelados extraídos de la webonline 5oceanos, donde aparece el nombre del producto, su precio, la categoría a la que pertenece y la fecha de la consulta.
DOI: 10.5281/zenodo.14083312
title: Dataset de productos congelados de 5oceanos

description: Este dataset contiene información sobre productos congelados extraídos de la webonline 5oceanos, donde aparece el nombre del producto, su precio, la categoría a la que pertenece y la fecha de la consulta.
DOI: 10.15468/dl.s7uw4m
title: Occurrence Download

description: A dataset containing 8766175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.35935 -56.86932,-68.74436 -56.86932,-68.74436 -16.75559,-71.14056 -14.73611,-74.21462 -26.89611,-75.6621 -48.36217,-74.35935 -56.86932))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2024"
 ]
}

 The dataset includes 8766175 records from 501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008510-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmcuzz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year is 76",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008700-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14063836
title: Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?

description: Artifacts for "Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?".

File used to answer RQ1:



RQ1-RF-predictions.csv

RQ1-RQ3-best-configuration-RF.csv


File used to answer RQ2:



RQ2-SVM-predictions.csv

RQ2-best-configuration-SVM.csv


File used to answer RQ3:



RQ3-RF-normalized-predictions.csv

RQ1-RQ3-best-configuration-RF.csv


 

The file assessment-team-votes.csv contains the title of each study, a bolean indicating if it was included or not and the individual marks of each reviewer before applying the agreement criteria.

 

The .bib files used in our experiment are available at:





Our testing set: 'Testing set - Excluded.bib' (513 studies) and 'Testing set - Included.bib' (38 studies). All of the 551 studies we used, were obtained from the actual SLR Update


Our training set: 'Training set - Excluded.bib' (83 studies - obtained by performing the backward snowballing using the Original SLR) and 'Training set - Included.bib' (45 studies - all studies that were included in the Original SLR).


All of our code is available in the .zip file. Besides our pipeline, there's also some jupyter notebooks in code/analysis showing illustrating how we answered each of our questions.
DOI: 10.5281/zenodo.14063837
title: Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?

description: Artifacts for "Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?".

File used to answer RQ1:



RQ1-RF-predictions.csv

RQ1-RQ3-best-configuration-RF.csv


File used to answer RQ2:



RQ2-SVM-predictions.csv

RQ2-best-configuration-SVM.csv


File used to answer RQ3:



RQ3-RF-normalized-predictions.csv

RQ1-RQ3-best-configuration-RF.csv


 

The file assessment-team-votes.csv contains the title of each study, a bolean indicating if it was included or not and the individual marks of each reviewer before applying the agreement criteria.

 

The .bib files used in our experiment are available at:





Our testing set: 'Testing set - Excluded.bib' (513 studies) and 'Testing set - Included.bib' (38 studies). All of the 551 studies we used, were obtained from the actual SLR Update


Our training set: 'Training set - Excluded.bib' (83 studies - obtained by performing the backward snowballing using the Original SLR) and 'Training set - Included.bib' (45 studies - all studies that were included in the Original SLR).


All of our code is available in the .zip file. Besides our pipeline, there's also some jupyter notebooks in code/analysis showing illustrating how we answered each of our questions.
DOI: 10.5281/zenodo.14083398
title: Blastoid images dataset for classification
DOI: 10.5281/zenodo.14083399
title: Blastoid images dataset for classification
DOI: 10.15468/dl.vbwnjh
title: Occurrence Download

description: A dataset containing 9594828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.79401 -56.84224,-66.47598 -56.84224,-66.47598 -17.87491,-75.79401 -17.87491,-75.79401 -56.84224))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2024"
 ]
}

 The dataset includes 9594828 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008503-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.