cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16360053
title: Dataset of Developing a Rubric-Based Scale (Digital Aging) v2

description: Online supplementary material resulting from the development of a rubric-based scale to detect digital competencies for active aging.

The results of the review will be available in the related publication.
description: This dataset has been funded by the following projects: Grant TED2021-129253B-100 funded by MICIU/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU/PRTR”; Grant PID2021-123552OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/EU”; and Project PROYEXCEL_00320 funded by the Department of Universities, Research and Innovation of the Junta de Andalucía (PAIDI 2020).

Este conjunto de datos ha sido financiado por los siguientes proyectos: Subvención TED2021-129253B-100 financiada por MICIU/AEI/10.13039/501100011033 y por la Unión Europea “NextGenerationEU/PRTR”; Subvención PID2021-123552OB-I00 financiada por MICIU/AEI/10.13039/501100011033 y por “ERDF/EU”; y Proyecto de I+D PROYEXCEL_00320 financiado por la Consejería de Universidades, Investigación e Innovación de la Junta de Andalucía (PAIDI 2020).
DOI: 10.5281/zenodo.17883480
title: Dataset of Developing a Rubric-Based Scale (Digital Aging) v2

description: Online supplementary material resulting from the development of a rubric-based scale to detect digital competencies for active aging.

The results of the review will be available in the related publication.
description: This dataset has been funded by the following projects: Grant TED2021-129253B-100 funded by MICIU/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU/PRTR”; Grant PID2021-123552OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/EU”; and Project PROYEXCEL_00320 funded by the Department of Universities, Research and Innovation of the Junta de Andalucía (PAIDI 2020).

Este conjunto de datos ha sido financiado por los siguientes proyectos: Subvención TED2021-129253B-100 financiada por MICIU/AEI/10.13039/501100011033 y por la Unión Europea “NextGenerationEU/PRTR”; Subvención PID2021-123552OB-I00 financiada por MICIU/AEI/10.13039/501100011033 y por “ERDF/EU”; y Proyecto de I+D PROYEXCEL_00320 financiado por la Consejería de Universidades, Investigación e Innovación de la Junta de Andalucía (PAIDI 2020).
DOI: 10.15468/dl.hndk5b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidosiphon coyi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046428-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17893563
title: خروج از بن بست صدساله فیزیک

description: استیون هاوکینگ در مصاحبه ها و سخنرانیهای پایانی خود، به این نکته اشاره کرد که 

نظریه هایی مانند نظریٔه ریسمان، با وجود ظرافت ریاضی، نتوانسته اند پیشبینی جدید و قابل آزمایشی ارائه دهند که با واقعیت بنیادی ما سازگار باشد

ما به پایان فیزیک نظری نزدیک شده ایم. ما یک مدل ریاضی داریم که به نظر میرسد جهان را توضیح میدهد، اما نمیدانیم آیا این مدل واقعاً جهان است یا فقط یک ساختار ریاضیاتی زیباست
DOI: 10.5281/zenodo.17893562
title: خروج از بن بست صدساله فیزیک

description: استیون هاوکینگ در مصاحبه ها و سخنرانیهای پایانی خود، به این نکته اشاره کرد که 

نظریه هایی مانند نظریٔه ریسمان، با وجود ظرافت ریاضی، نتوانسته اند پیشبینی جدید و قابل آزمایشی ارائه دهند که با واقعیت بنیادی ما سازگار باشد

ما به پایان فیزیک نظری نزدیک شده ایم. ما یک مدل ریاضی داریم که به نظر میرسد جهان را توضیح میدهد، اما نمیدانیم آیا این مدل واقعاً جهان است یا فقط یک ساختار ریاضیاتی زیباست
DOI: 10.15468/dl.7u3ffv
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zhangixalus moltrechti",
 "Year 2024-2025"
 ]
}

 The dataset includes 585 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046429-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h23rm9
title: Occurrence Download

description: A dataset containing 442173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.24612 29.16701,121.43219 29.16701,121.43219 30.84126,119.24612 30.84126,119.24612 29.16701))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 442173 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046397-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntq5hw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046430-251120083545085/datasets/export for details.
DOI: 10.15468/dl.up5x2z
title: Occurrence Download

description: A dataset containing 91735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -20.914722",
 "DecimalLatitude is less than or equal to -15.914722",
 "DecimalLongitude is greater than or equal to 125.0",
 "DecimalLongitude is less than or equal to 130.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 91735 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17879273
title: HSADab

description: HSADab
DOI: 10.15468/dl.guj7j7
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidosiphon fischeri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046431-251120083545085/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.30856865
title: Union land use maps to identify transitions from harmonized land-use classes to create baseline SWAT luse input map

description: Workflow 1. Land use change transitions to crease baseline map + manegment scheduleS Input land-use and TRC forestry mapsResources:General Land-use map (2015) Forestry maps for 2004, 2018, and 2021 (LU_2004,LU_2018, LU_2021)Forestry-priority soils map (MGAP). Harmonize land-use classes and clean attribute tablesFirst, we cleaned attribute tables for all input layers. Then we used the defined land-use classification scheme to assign a unique land-use code per class ( see Table 2 in the appendix).<br>Union all time slices to create a multi-year change map.We generated the union map using the union tool in QGIS to merge: 2004 forestry map, 2015 general land use (with ESC), 2018 forestry map, 2021 forestry map. This allowed the creation of polygons representing unique combinations of land use across all layers (homogeneous numeric codes). The union result layer is LU_union_2004_2015_2018_2021.shp <br>Assign temporal land-use codes and create 13 final classesWe analysed the union layer to identify unique temporal sequences (e.g. pine forest → pine forest, grassland → pine forest, euca or pine forest → grassland, see table in the manuscript). Using these transitions, we assigned a new land-use code that summarises the temporal trajectory for each polygon—mapped these trajectories using numeric codes. After map union, we obtained a total of 13 final classes (see Table 3 in the manuscript appendix).<br>Link final land-use classes to management types in the modelAfter this, we assigmed a .mgt to each of the 13 land-use classes in terms of management and forest dynamics (e.g. persistent plantation, new plantation, conversion to non-forest).Metadata:Intermediate Union map layers - <i>LUSE_2004_LUSE2015Union04_15fixgeometres</i>, Union map from foresty map 2004 and geneal landuse 2015-<i>LUSE2018_LUSE_2021Union1821fixgeom</i>, Union map from foresty map 2018 and geneal landuse 2018-<i>Union_04_21_raw_Step6 </i>Union of LUSE_2004_LUSE2015Union04_15fixgeometres &LUSE2018_LUSE_2021Union1821fixgeom-<i>Union_04_21_dis Dissolved</i> polygon classes from Union_04_21_raw_Step6-Script to modify lookup tables (<i>codestonewcodes2.R</i>) and processing luse codes - <i>Union_finalSWATinput_10m_filled.ZIP </i>Final layer input for SWAT, 10m pixel, catchment boundary area filled with grassland value to avoid luse issues during catchment delineation and HRU creation<br>
DOI: 10.6084/m9.figshare.30856865.v2
title: Union land use maps to identify transitions from harmonized land-use classes to create baseline SWAT luse input map

description: Workflow 1. Land use change transitions to crease baseline map + manegment scheduleS Input land-use and TRC forestry mapsResources:General Land-use map (2015) Forestry maps for 2004, 2018, and 2021 (LU_2004,LU_2018, LU_2021)Forestry-priority soils map (MGAP). Harmonize land-use classes and clean attribute tablesFirst, we cleaned attribute tables for all input layers. Then we used the defined land-use classification scheme to assign a unique land-use code per class ( see Table 2 in the appendix).<br>Union all time slices to create a multi-year change map.We generated the union map using the union tool in QGIS to merge: 2004 forestry map, 2015 general land use (with ESC), 2018 forestry map, 2021 forestry map. This allowed the creation of polygons representing unique combinations of land use across all layers (homogeneous numeric codes). The union result layer is LU_union_2004_2015_2018_2021.shp <br>Assign temporal land-use codes and create 13 final classesWe analysed the union layer to identify unique temporal sequences (e.g. pine forest → pine forest, grassland → pine forest, euca or pine forest → grassland, see table in the manuscript). Using these transitions, we assigned a new land-use code that summarises the temporal trajectory for each polygon—mapped these trajectories using numeric codes. After map union, we obtained a total of 13 final classes (see Table 3 in the manuscript appendix).<br>Link final land-use classes to management types in the modelAfter this, we assigmed a .mgt to each of the 13 land-use classes in terms of management and forest dynamics (e.g. persistent plantation, new plantation, conversion to non-forest).Metadata:Intermediate Union map layers - <i>LUSE_2004_LUSE2015Union04_15fixgeometres</i>, Union map from foresty map 2004 and geneal landuse 2015-<i>LUSE2018_LUSE_2021Union1821fixgeom</i>, Union map from foresty map 2018 and geneal landuse 2018-<i>Union_04_21_raw_Step6 </i>Union of LUSE_2004_LUSE2015Union04_15fixgeometres &LUSE2018_LUSE_2021Union1821fixgeom-<i>Union_04_21_dis Dissolved</i> polygon classes from Union_04_21_raw_Step6-Script to modify lookup tables (<i>codestonewcodes2.R</i>) and processing luse codes - <i>Union_finalSWATinput_10m_filled.ZIP </i>Final layer input for SWAT, 10m pixel, catchment boundary area filled with grassland value to avoid luse issues during catchment delineation and HRU creation<br>
DOI: 10.6084/m9.figshare.30856865.v1
title: Union transition land use maps obtained from harmonised land-use classes and clean attribute tables

description: Input for workflow 1. Land use change transitions to crease baseline map + management schedule##Step 1 – Input land-use and TRC forestry mapsResources:General Land-use map (2015).Forestry maps for 2004, 2018, and 2021 (LU_2004,LU_2018, LU_2021)Forestry-priority soils map (MGAP).<br>##Step 2 – Harmonise land-use classes and clean attribute tablesFirst we cleaned attribute tables for all input layers. Then we used the defined land-use classification scheme to assigned a unique land-use code per class (see Table 2).
DOI: 10.15468/dl.rwybh7
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caragana brevifolia"
 ]
}

 The dataset includes 323 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046432-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrshrh
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caragana versicolor"
 ]
}

 The dataset includes 356 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046433-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53tqgf
title: Occurrence Download

description: A dataset containing 6639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -10.914722",
 "DecimalLatitude is less than or equal to -5.914722",
 "DecimalLongitude is greater than or equal to 125.0",
 "DecimalLongitude is less than or equal to 130.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 6639 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046434-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17893582
title: VAE-XGBoost: A hybrid intrusion detection system for next generation EV charging networks.

description: The datasets and source code utilized in this study are publicly available to ensure reproducibility.The CICEVSE2024 dataset, employed for both training and evaluation, is accessible at https:// www.unb.ca/cic/datasets/evse-dataset-2024.html. The complete Python implementation of the proposed VAE-XGBoost framework—including data preprocessing scripts, model training, and evaluation is available in this attachment.
DOI: 10.5281/zenodo.17893581
title: VAE-XGBoost: A hybrid intrusion detection system for next generation EV charging networks.

description: The datasets and source code utilized in this study are publicly available to ensure reproducibility.The CICEVSE2024 dataset, employed for both training and evaluation, is accessible at https:// www.unb.ca/cic/datasets/evse-dataset-2024.html. The complete Python implementation of the proposed VAE-XGBoost framework—including data preprocessing scripts, model training, and evaluation is available in this attachment.
DOI: 10.15468/dl.zgmpy8
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caragana polourensis"
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046435-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jzgkc
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidosiphon gosnoldi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046436-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17893677
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.17871432
title: Rational topical formulation design of a noval pharmaceutical using Molecular Dynamics Simulations - Component Permeability Data

description: Permeability data for individual formulation components used in this study. The data was used to derive the partitioning from the forumulations into the lipid barrier.
DOI: 10.5281/zenodo.17871433
title: Rational topical formulation design of a noval pharmaceutical using Molecular Dynamics Simulations - Component Permeability Data

description: Permeability data for individual formulation components used in this study. The data was used to derive the partitioning from the forumulations into the lipid barrier.
DOI: 10.5281/zenodo.17871542
title: Rational topical formulation design of a noval pharmaceutical using Molecular Dynamics Simulations - API and formulation Data, forcefield and scripts

description: Solvation FE data in the formulations in the study.

Skin barrier models for each formulation - after partitioning of excipients from the formulations into the skin barrier.

Permeability data of the API (called compound A) with excipients inserted in the skin barrier.

Skin barrier model without added excipients.

Forcefield data.

Scripts used for analysis.
DOI: 10.5281/zenodo.17871541
title: Rational topical formulation design of a noval pharmaceutical using Molecular Dynamics Simulations - API and formulation Data, forcefield and scripts

description: Solvation FE data in the formulations in the study.

Skin barrier models for each formulation - after partitioning of excipients from the formulations into the skin barrier.

Permeability data of the API (called compound A) with excipients inserted in the skin barrier.

Skin barrier model without added excipients.

Forcefield data.

Scripts used for analysis.
DOI: 10.5281/zenodo.17893441
title: Velocity models for Sun et al., 2025, Geophysical Evidence of Progressive Noachian Crustal Thickening on Mars Revealed by Meteorite Impacts, Earth and Planetary Science Letters, 669: 119598

description: Data and Python code to create Figure 3 of the below paper. Please head to the paper for more information. 

Sun, Weijia, Tkalčić, Hrvoje, Malusà, Marco, Adam, Ludmila, Tang, Qingya, Wang, Sheng, Wei, Zhi, Pan, Yongxin. 2025. Geophysical evidence of progressive Noachian crustal thickening on Mars revealed by meteorite impacts. Earth and Planetary Science Letters, 669: 119598. https://doi.org/10.1016/j.epsl.2025.119598

Abstract:

As a single-plate planet without plate tectonics, Mars lacks the horizontal motions of rigid plates. According to geochemical and geothermal analyses, the current thickness of the Martian crust from seismic observations is twice as thick as it was during the early Noachian period, indicating substantial crustal accretion over time. However, the mechanism behind this process remains unknown. Here, we employ the ground-truth-location nearby impact events to invert for the crustal layering and seismic velocities beneath the Elysium Planitia. We find a crustal thickness of 52±9 km and propose that the lower boundary of the middle crust at ~20 km corresponds to the early Noachian crustal base. Our models yield slower wave speeds in the lowermost crust and uppermost mantle compared to previous studies, based on additional sampling provided by six nearby impacts. Our inversion scheme allows the compressional-to-shear velocity ratio (Vp/Vs) to vary rather than assuming fixed values. The low Vp/Vs ratio (<1.7) in the mid-crust does not suggest the presence of liquid water in this region. The integration of refined velocity models with an elevated Vp/Vs ratio indicates the presence of partial melt, estimated to be less than 2% in the lower crust and uppermost mantle. Altogether, these findings suggest that progressive magma underplating above a mantle plume led to a localized crustal thickening of the Noachian crust. A similar process might have taken place on the early Earth beneath cratons.
DOI: 10.5281/zenodo.8260854
title: Weight for MOTPEC

description: The weight files for MOTPEC to predict other tissues' expression, which are required to be placed into input directory before predicting!
DOI: 10.5281/zenodo.17893440
title: Velocity models for Sun et al., 2025, Geophysical Evidence of Progressive Noachian Crustal Thickening on Mars Revealed by Meteorite Impacts, Earth and Planetary Science Letters, 669: 119598

description: Data and Python code to create Figure 3 of the below paper. Please head to the paper for more information. 

Sun, Weijia, Tkalčić, Hrvoje, Malusà, Marco, Adam, Ludmila, Tang, Qingya, Wang, Sheng, Wei, Zhi, Pan, Yongxin. 2025. Geophysical evidence of progressive Noachian crustal thickening on Mars revealed by meteorite impacts. Earth and Planetary Science Letters, 669: 119598. https://doi.org/10.1016/j.epsl.2025.119598

Abstract:

As a single-plate planet without plate tectonics, Mars lacks the horizontal motions of rigid plates. According to geochemical and geothermal analyses, the current thickness of the Martian crust from seismic observations is twice as thick as it was during the early Noachian period, indicating substantial crustal accretion over time. However, the mechanism behind this process remains unknown. Here, we employ the ground-truth-location nearby impact events to invert for the crustal layering and seismic velocities beneath the Elysium Planitia. We find a crustal thickness of 52±9 km and propose that the lower boundary of the middle crust at ~20 km corresponds to the early Noachian crustal base. Our models yield slower wave speeds in the lowermost crust and uppermost mantle compared to previous studies, based on additional sampling provided by six nearby impacts. Our inversion scheme allows the compressional-to-shear velocity ratio (Vp/Vs) to vary rather than assuming fixed values. The low Vp/Vs ratio (<1.7) in the mid-crust does not suggest the presence of liquid water in this region. The integration of refined velocity models with an elevated Vp/Vs ratio indicates the presence of partial melt, estimated to be less than 2% in the lower crust and uppermost mantle. Altogether, these findings suggest that progressive magma underplating above a mantle plume led to a localized crustal thickening of the Noachian crust. A similar process might have taken place on the early Earth beneath cratons.
DOI: 10.5281/zenodo.8260853
title: Weight for MOTPEC

description: The weight files for MOTPEC to predict other tissues' expression, which are required to be placed into input directory before predicting!
DOI: 10.15468/dl.tb5ekr
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidosiphon parvulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 58 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046437-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.