cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18700715
title: Erhobene Daten der Masterarbeit: Identifikation und Bewertung von Fragilitäts-Metriken in Open-Source-Projekten mittels empirischer Analyse

description: Erhobene Daten im Rahmen der MasterarbeitBegutachtung:JProf. Dr.-Ing. Ben HermannProf. Dr. Falk Maria Howar

- inputAnalysis.csv: Analysedatensatz (Input) mit den Variablen für EFA und logistische Regression- statistischeAnalyse_.py: Lädt inputAnalysis.csv und führt EFA sowie logistische Regression aus (Erzeugung der Faktor-Scores und Klassifikation)

Weiteres Material:- gql_client.py: Ausführen der GraphQL Anfragen auf GitHub- Final_result_Dataset.csv: Ergebnisse der Faktorenanalyse und logistischen Regression für alle genutzten Projekte- metrics_mvp_graphql.py: Crawling der Repository-Daten- metrics_mvp_graphqlV2.py: Erweiterung des Crawlings um verbesserter Filterung von Bot-Beiträgen- projectList_for_crawling.csv: Liste der Repositorys der Projekte für das Crawling (Crawling-Input)- redundancyCheck.py: Überprüfen der Redundanz in den Daten nach Crawling-Prozess für die weitere Analyse Python 3.11.13Packages:Factor Analyzer 0.5.1: https://pypi.org/project/factor-analyzer/Scikit Learn 1.7.2 : https://pypi.org/project/scikit-learn/Numpy 2.3.3 https://pypi.org/project/numpy/Statsmodels 0.14.5 https://pypi.org/project/statsmodels/Matplotlib 3.10.7   https://pypi.org/project/matplotlib/Seaborn 0.13.2 https://pypi.org/project/seaborn/Ipython 9.5.0 https://pypi.org/project/ipython/Pandas 2.3.2 https://pypi.org/project/pandas/

Ausführen von statistischeAnalyse_.py mit inputAnalysis.csv als Input ergibt die Ergebnis CSV.
DOI: 10.5281/zenodo.18700714
title: Erhobene Daten der Masterarbeit: Identifikation und Bewertung von Fragilitäts-Metriken in Open-Source-Projekten mittels empirischer Analyse

description: Erhobene Daten im Rahmen der MasterarbeitBegutachtung:JProf. Dr.-Ing. Ben HermannProf. Dr. Falk Maria Howar

- inputAnalysis.csv: Analysedatensatz (Input) mit den Variablen für EFA und logistische Regression- statistischeAnalyse_.py: Lädt inputAnalysis.csv und führt EFA sowie logistische Regression aus (Erzeugung der Faktor-Scores und Klassifikation)

Weiteres Material:- gql_client.py: Ausführen der GraphQL Anfragen auf GitHub- Final_result_Dataset.csv: Ergebnisse der Faktorenanalyse und logistischen Regression für alle genutzten Projekte- metrics_mvp_graphql.py: Crawling der Repository-Daten- metrics_mvp_graphqlV2.py: Erweiterung des Crawlings um verbesserter Filterung von Bot-Beiträgen- projectList_for_crawling.csv: Liste der Repositorys der Projekte für das Crawling (Crawling-Input)- redundancyCheck.py: Überprüfen der Redundanz in den Daten nach Crawling-Prozess für die weitere Analyse Python 3.11.13Packages:Factor Analyzer 0.5.1: https://pypi.org/project/factor-analyzer/Scikit Learn 1.7.2 : https://pypi.org/project/scikit-learn/Numpy 2.3.3 https://pypi.org/project/numpy/Statsmodels 0.14.5 https://pypi.org/project/statsmodels/Matplotlib 3.10.7   https://pypi.org/project/matplotlib/Seaborn 0.13.2 https://pypi.org/project/seaborn/Ipython 9.5.0 https://pypi.org/project/ipython/Pandas 2.3.2 https://pypi.org/project/pandas/

Ausführen von statistischeAnalyse_.py mit inputAnalysis.csv als Input ergibt die Ergebnis CSV.
DOI: 10.15468/dl.wqgt86
title: Occurrence Download

description: A dataset containing 10102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-129.84354 -31.46535,-27.74434 -31.46535,-27.74434 50.78848,-129.84354 50.78848,-129.84354 -31.46535))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum americanum"
 ]
}

 The dataset includes 10102 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029820-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2690029-1
title: Structural Quality and Crystallographic Orientation Investigation of Bilayer Manganite (La, Pr)1.2Sr1.8Mn2O7 Single-Crystal
DOI: 10.15468/dl.9q4jkb
title: Occurrence Download

description: A dataset containing 2286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudococcus longispinus"
 ]
}

 The dataset includes 2286 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029822-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8agyc
title: Occurrence Download

description: A dataset containing 1616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thrips palmi"
 ]
}

 The dataset includes 1616 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029824-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18665001
title: A subgrid correction scheme for accurate km-scale coastal inundation in the Energy Exascale Earth System Model - Model input and output files

description: This data set contains the input and output files used to run the Model for Prediction Across Scales - Ocean (MPAS-Ocean) for three test cases in support of a paper entitled: "A subgrid correction scheme for accurate km-scale coastal inundation in the Energy Exascale Earth System Model". The test cases are: 



Parabolic Bowl (idealized verification case from Thacker (1981): https://doi.org/10.1017/S0022112081001882 )



Subgrid: 20, 10, and 5 km resolutions (with and without ramped flux limiter)

Standard: 20, 10, and 5 km resolutions (with and without ramped flux limiter)



Buttermilk Bay (regional case with tidal forcing at boundary from Kennedy et al. (2019): https://doi.org/10.1016/j.ocemod.2019.101491)



Subgrid: 576, 256, 128, 64, 32, and 8 m resolutions

Standard: 576, 256, 128, 64 and 32 m resolutions



Hurricane Sandy (global case forced with tidal potential and atmospheric winds/pressure from CFSv2)



Subgrid: 45 to 5 km resolution mesh with 1 km regional refinement the United States Mid-Atlantic Bight, subgrid corrections from 3 m CUDEM and 30 m CCAP LULC data, global bathymetry from GEBCO 2023.

Standard: Same as above without subgrid corrections

Water level observations: USGS and NOAA-COOPS
DOI: 10.5281/zenodo.18665000
title: A subgrid correction scheme for accurate km-scale coastal inundation in the Energy Exascale Earth System Model - Model input and output files

description: This data set contains the input and output files used to run the Model for Prediction Across Scales - Ocean (MPAS-Ocean) for three test cases in support of a paper entitled: "A subgrid correction scheme for accurate km-scale coastal inundation in the Energy Exascale Earth System Model". The test cases are: 



Parabolic Bowl (idealized verification case from Thacker (1981): https://doi.org/10.1017/S0022112081001882 )



Subgrid: 20, 10, and 5 km resolutions (with and without ramped flux limiter)

Standard: 20, 10, and 5 km resolutions (with and without ramped flux limiter)



Buttermilk Bay (regional case with tidal forcing at boundary from Kennedy et al. (2019): https://doi.org/10.1016/j.ocemod.2019.101491)



Subgrid: 576, 256, 128, 64, 32, and 8 m resolutions

Standard: 576, 256, 128, 64 and 32 m resolutions



Hurricane Sandy (global case forced with tidal potential and atmospheric winds/pressure from CFSv2)



Subgrid: 45 to 5 km resolution mesh with 1 km regional refinement the United States Mid-Atlantic Bight, subgrid corrections from 3 m CUDEM and 30 m CCAP LULC data, global bathymetry from GEBCO 2023.

Standard: Same as above without subgrid corrections

Water level observations: USGS and NOAA-COOPS
DOI: 10.15468/dl.3z5f9g
title: Occurrence Download

description: A dataset containing 202388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis gibbosus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 202388 records from 567 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029783-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmpa69
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Penstemon harbourii"
 ]
}

 The dataset includes 358 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029828-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14890920
title: Departmental Store Management System Project.
DOI: 10.15468/dl.hqzbre
title: Occurrence Download

description: A dataset containing 9324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichoplusia ni"
 ]
}

 The dataset includes 9324 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029825-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/ypitye
title: Secreted protein data and supplemental data for "Temporal variation in markers of immune signaling and wound repair in primary human airway epithelial cells following acute vs. repeated woodsmoke condensate exposure"

description: Raw and processed proteomics data collected from primary human airway epithelial cells following acute or repeat exposure to woodsmoke
DOI: 10.5281/zenodo.18701546
title: GENDER ROLLARINING O'ZGARISHI VA JAMIYATDAGI IJTIMOIY MUNOSABATLAR

description:  Ushbu maqolada zamonaviy jamiyatda gender rollarining o‘zgarishi va uning ijtimoiy munosabatlarga ta’siri tahlil qilinadi. Globalizatsiya, ta’lim va axborot texnologiyalari rivoji natijasida erkak va ayollarning an’anaviy vazifalari o‘zgarib bormoqda. Maqolada gender tengligi, teng imkoniyatlar yaratish va stereotiplarni bartaraf etish masalalari yoritilgan. Shuningdek, gender rollarining yangilanishi jamiyatda ijtimoiy adolatni mustahkamlashi bilan birga, ayrim qarama-qarshiliklarni ham keltirib chiqarishi mumkinligi ko‘rsatilgan. Muallif bu jarayonni milliy qadriyatlar bilan uyg‘un holda rivojlantirish zarurligini ta’kidlaydi.
DOI: 10.5281/zenodo.18701547
title: GENDER ROLLARINING O'ZGARISHI VA JAMIYATDAGI IJTIMOIY MUNOSABATLAR

description:  Ushbu maqolada zamonaviy jamiyatda gender rollarining o‘zgarishi va uning ijtimoiy munosabatlarga ta’siri tahlil qilinadi. Globalizatsiya, ta’lim va axborot texnologiyalari rivoji natijasida erkak va ayollarning an’anaviy vazifalari o‘zgarib bormoqda. Maqolada gender tengligi, teng imkoniyatlar yaratish va stereotiplarni bartaraf etish masalalari yoritilgan. Shuningdek, gender rollarining yangilanishi jamiyatda ijtimoiy adolatni mustahkamlashi bilan birga, ayrim qarama-qarshiliklarni ham keltirib chiqarishi mumkinligi ko‘rsatilgan. Muallif bu jarayonni milliy qadriyatlar bilan uyg‘un holda rivojlantirish zarurligini ta’kidlaydi.
DOI: 10.15468/dl.erqdwd
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opilioacaridae"
 ]
}

 The dataset includes 992 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029829-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyutne
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mentzelia monoensis"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029833-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18667665
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2020-01-01 to 2020-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2020. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2020-01.tar.gz contains all images from January 2020.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18667664
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2020-01-01 to 2020-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2020. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2020-01.tar.gz contains all images from January 2020.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.15468/dl.fpmq9a
title: Occurrence Download

description: A dataset containing 43027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyles gallii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43027 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029832-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f7k2e
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Aeschynomene villosa"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029834-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjx4mt
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Geometry POLYGON ((-81.94719 33.44101, -82.04864 33.44101, -82.04864 33.51164, -81.94719 33.51164, -81.94719 33.44101))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 788 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017120-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxzfn4
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocodylia",
 "OccurrenceStatus is Present",
 "Geometry MULTIPOLYGON (((16.1257 -22.0882, 15.8234 -22.4662, 15.606 -22.8993, 15.4784 -23.4046, 15.4933 -24.0715, 20.509 -24.0715, 20.509 -28.5786, 20.509 -32.9007, 25.5395 -32.9007, 25.5395 -28.5786, 25.5395 -24.0715, 25.5395 -23.2724, 25.1306 -24.0715, 24.9333 -24.4571, 23.8962 -24.2467, 22.8065 -24.295, 22.3719 -24.7207, 22.2323 -25.547, 22.0387 -25.7188, 21.7833 -25.7784, 21.5388 -25.7113, 21.3553 -25.5415, 20.7576 -24.3688, 20.529 -24.0715, 20.509 -24.0455, 20.0952 -23.5072, 19.9968 -23.017, 19.7843 -22.5405, 19.1988 -21.8785, 18.5972 -21.5447, 17.8859 -21.3993, 17.1626 -21.4805, 16.5332 -21.7596, 16.1257 -22.0882)), ((20.2855 -34.7533, 20.509 -34.5676, 20.509 -32.9007, 17.7723 -32.9007, 17.8156 -33.0786, 18.3471 -33.7176, 18.3748 -33.8287, 18.2181 -34.0492, 18.3197 -34.3408, 18.4452 -34.429, 18.5435 -34.4213, 18.5872 -34.3667, 18.5363 -34.167, 18.7345 -34.1508, 18.7216 -34.3637, 18.7808 -34.4521, 19.0289 -34.4206, 19.0831 -34.4835, 19.2655 -34.5017, 19.2032 -34.6157, 19.2394 -34.6926, 19.375 -34.6963, 19.6091 -34.8524, 19.8251 -34.8396, 19.9798 -34.9064, 20.1081 -34.8731, 20.1517 -34.7847, 20.2855 -34.7533)), ((35.6007 -23.165, 35.628 -23.023, 35.6007 -22.9702, 35.6007 -23.165)), ((35.6007 -24.0157, 35.6306 -23.844, 35.6007 -23.8125, 35.6007 -24.0157)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 }
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017122-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/qges-hb33
title: Sigma profile of PCBs and PCDDs

description: Sigma profile of PCBs and PCDDs including 1,2,3,4,7-Pentachlorodibenzo-p-dioxin, 1,3,6,8-Tetrachlorodibenzo-p-dioxin, 1,2,3,4,7,8-Hexachlorodibenzo-p-dioxin, Octochlorodibenzo-p-dioxin, 1,2,3,4,6,7,8-Heptachlorodibenzo-p-dioxin, 2,4,4'-Trichlorobiphenyl, 2,2',5,5'-Tetrachlorobiphenyl, 2,2',4,5,5'-Pentachlorobiphenyl, 2,2',3,4,4',5'-Hexachlorobiphenyl, 2,2',4,4',5,5'-Hexachlorobiphenyl, 2,2',3,4,4',5,5'-Heptachlorobiphenyl.
DOI: 10.25549/chs-c65-1459
title: Birdseye view of Pomona Valley, taken from the San Jose Hills looking southeast, ca.1884

description: Photograph of a birdseye view of Pomona Valley, taken from the San Jose Hills looking southeast, ca.1884. Most of the land has been divided into fields for agricultural use, and rows of crops can be seen growing on some of these fields. In the foreground at right, there is a forested area that does not show signs of the ordered orchard rows seen elsewhere in the picture. Throughout the valley, there are scattered several farm buildings, although they are not grouped in any discernable way.
DOI: 10.15468/dl.4cj7p7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrastemma hermaphroditica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017123-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17527782
title: Seismic traveltime tomography with deep neural network reparameterization

description: The test data and inversion results for "Seismic traveltime tomography with deep neural network reparameterization: The method and its application to central Chile".



absolute.dat: Synthetic travel-time data

event.dat: Event information, including hypocenter location and origin time

vel_DNRtomo.xyz: Velocity model obtained from DNRtomo

vel_ini.xyz: Input velocity model used for synthetic travel-time calculations

vel_tomoDD.xyz: Velocity model obtained from tomoDD
DOI: 10.5281/zenodo.17527783
title: Seismic traveltime tomography with deep neural network reparameterization

description: The test data and inversion results for "Seismic traveltime tomography with deep neural network reparameterization: The method and its application to central Chile".



absolute.dat: Synthetic travel-time data

event.dat: Event information, including hypocenter location and origin time

vel_DNRtomo.xyz: Velocity model obtained from DNRtomo

vel_ini.xyz: Input velocity model used for synthetic travel-time calculations

vel_tomoDD.xyz: Velocity model obtained from tomoDD