cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17084057
title: Complementary Data for Wueller et al. (2026): Assessing Potential Landing Sites with Favorable Illumination and Accessible, Potentially Volatile-Rich Permanently Shadowed Regions within Artemis Candidate Landing Regions

description: This data is complementary to Wueller et al. (2026): Assessing Potential Landing Sites with Favorable Illumination and Accessible, Potentially Volatile-Rich Permanently Shadowed Regions within Artemis Candidate Landing Regions. JGR Planets, accepted in February 2026.

The data are accessed via Zenodo: 10.5281/zenodo.17084058--------------------------------------------------------------------------------------------------------------------------------------------------------

STRUCTURE

Folder "Landing_Sites"

-> It includes the georeferenced shapefile of the candidate landing sites and the raster of the area satisfying the HLS requirements as well as ArcGIS Pro layerfiles (maintaining symbology).

Folder "Illumination_Modeling"

-> It includes the georeferenced raster files and ArcGIS Pro layerfiles (maintaining symbology) with the illumination conditions of all 16 Artemis candidate landing regions for the midsummers from 2025 to 2032.

File "Diffusion_Modeling"

-> The table includes the modeled crater ages for PSR-hosting craters within 2 kilometers of candidate landin sites in CR, CRE, dGR1, and PNS. The modeled crater age is given in column 'meanAge' in the atribute table.

Folder "PSR_Volatile_Estimates"

-> It includes the georeferenced shapefile and ArcGIS Pro layerfile of accessible PSRs in CR, CRE, dGR1, and PNS with their estimated volatile abundance in column 'Volatiles_max' of the atribute table.

---------------------------------------------------------------------------------------------------------------------------------------------------------

For further questions, please contact: lwueller@uni-muenster.de

Lukas Wueller, University of Münster, Institute of Planetology, 48149 Münster, Germany, 15th of September 2025

 

This work was conducted during the 2024 LPI Exploration Science Summer Intern Program, supported by funding from the Lunar and Planetary Institute (LPI) and the Center for Lunar Science and Exploration (CLSE), which is part of the NASA Solar System Exploration Research Virtual Institute (SSERVI).

Please cite both:

Wueller, L., Berger, L. M., Christopher, H., Sugimoto, K., Thaker, A. D., Carton, L., Jo, W., Lee, S., Pedrelli, R., Sanchez, P., & Kring, D. A. (2026). Complementary Data for Wueller et al. (2026): Assessing Potential Landing Sites with Favorable Illumination and Accessible, Volatile-Rich Permanently Shadowed Regions within Artemis Candidate Landing Regions. Zenodo Dataset. https://doi.org/10.5281/zenodo.17084058

Wueller, L., Berger, L. M., Christopher, H., Sugimoto, K., Thaker, A. D., Carton, L., Jo, W., Lee, S., Pedrelli, R., Sanchez, P., & Kring, D. A. (2026). Assessing Potential Landing Sites with Favorable Illumination and Accessible, Volatile-Rich Permanently Shadowed Regions within Artemis Candidate Landing Regions. Journal of Geophysical Research Planets. submission number 2025JE009434.
DOI: 10.5281/zenodo.18618226
title: COVID-ARE-Konsultationsinzidenz

description: Im Datensatz "COVID-ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) und zusätzlicher COVID-19-Diagnose in Deutschland bereitgestellt. Über das syndromische Surveillance-Modul SEED-ARE werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung inklusive der jeweiligen ICD-10-Diagnosecodes elektronisch übermittelt. Die COVID-ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen ausgewiesen. Der Datensatz ermöglicht eine zeitnahe Einschätzung der Krankheitslast und unterstützt evidenzbasierte Entscheidungen im Infektionsgeschehen mit COVID-19.
DOI: 10.5281/zenodo.18617913
title: Raw statistical data supporting the study: Optimising Hematoxylin Staining Outcome: Evaluating the Impact of pH and Section Thickness on Different Tissue Densities

description: This dataset contains raw statistical data underlying the analyses reported in the associated manuscript. The data are provided in PDF format and include descriptive and inferential statistical results used to generate the figures and tables in the study.
description: Consistency in histological outcomes is essential, as hematoxylin and eosin (H&E) staining remains fundamental in both medical diagnostics and research. Establishing a reproducible staining protocol is important to ensure reliable interpretation across laboratories. This study investigates the effects of hematoxylin pH and section thickness on staining quality in hollow and compact tissues, with the aim of optimising routine laboratory practice. 




Duodenal and cardiac tissues from male Sprague–Dawley rats were fixed in neutral buffered formalin, processed into paraffin blocks, and sectioned at 3 µm, 5 µm, and 7 µm. Sections were stained using hematoxylin adjusted to pH 2.3, 2.6, and 2.9. Nuclear staining intensity was quantified using ImageJ, and data were analysed using two-way ANOVA with Tukey’s post-hoc tests. 




Both hematoxylin pH and section thickness significantly influenced staining quality in duodenal (pH: p = 0.008; thickness: p < 0.001) and cardiac tissues (pH: p = 0.015; thickness: p = 0.001), with no significant interaction between factors. Lower pH (2.3) resulted in weaker nuclear staining, whereas pH 2.6 and 2.9 produced improved staining quality. Thicker sections (7 µm) consistently showed poor staining compared to thinner sections. 




Optimal staining was achieved at pH 2.6 for duodenum and pH 2.9 for cardiac tissue, with section thicknesses of 3–5 µm recommended for both. These findings highlight the independent effects of pH and section thickness on H&E staining quality. Future studies should extend this approach to other tissue types and explore broader ranges of pH and section thickness to further refine standardised H&E protocols.
DOI: 10.5281/zenodo.18617914
title: Raw statistical data supporting the study: Optimising Hematoxylin Staining Outcome: Evaluating the Impact of pH and Section Thickness on Different Tissue Densities

description: This dataset contains raw statistical data underlying the analyses reported in the associated manuscript. The data are provided in PDF format and include descriptive and inferential statistical results used to generate the figures and tables in the study.
description: Consistency in histological outcomes is essential, as hematoxylin and eosin (H&E) staining remains fundamental in both medical diagnostics and research. Establishing a reproducible staining protocol is important to ensure reliable interpretation across laboratories. This study investigates the effects of hematoxylin pH and section thickness on staining quality in hollow and compact tissues, with the aim of optimising routine laboratory practice. 




Duodenal and cardiac tissues from male Sprague–Dawley rats were fixed in neutral buffered formalin, processed into paraffin blocks, and sectioned at 3 µm, 5 µm, and 7 µm. Sections were stained using hematoxylin adjusted to pH 2.3, 2.6, and 2.9. Nuclear staining intensity was quantified using ImageJ, and data were analysed using two-way ANOVA with Tukey’s post-hoc tests. 




Both hematoxylin pH and section thickness significantly influenced staining quality in duodenal (pH: p = 0.008; thickness: p < 0.001) and cardiac tissues (pH: p = 0.015; thickness: p = 0.001), with no significant interaction between factors. Lower pH (2.3) resulted in weaker nuclear staining, whereas pH 2.6 and 2.9 produced improved staining quality. Thicker sections (7 µm) consistently showed poor staining compared to thinner sections. 




Optimal staining was achieved at pH 2.6 for duodenum and pH 2.9 for cardiac tissue, with section thicknesses of 3–5 µm recommended for both. These findings highlight the independent effects of pH and section thickness on H&E staining quality. Future studies should extend this approach to other tissue types and explore broader ranges of pH and section thickness to further refine standardised H&E protocols.
DOI: 10.6084/m9.figshare.31321150
title: Data-ESBL-Culture Metagenomic

description: The comparation of the prevalence of ESBL genes between surveillance system of microbiological culture-based of single colony E coli versus metagenomic PCR method from caecal DNA sample;Total sample of chicken caecal: 200; 1). culture-based: select suspected colony of E coli, verification the species; then ESBL-DDST confirmation; and PCR for detection of ESBL genes (CTX-M, SHV, TEM); 2). Stool caecal sample DNA isolation; the PCR for detection ESBL genes; 3). Comparation between 1). vs 2).<br>
DOI: 10.6084/m9.figshare.31321150.v1
title: Data-ESBL-Culture Metagenomic

description: The comparation of the prevalence of ESBL genes between surveillance system of microbiological culture-based of single colony E coli versus metagenomic PCR method from caecal DNA sample;Total sample of chicken caecal: 200; 1). culture-based: select suspected colony of E coli, verification the species; then ESBL-DDST confirmation; and PCR for detection of ESBL genes (CTX-M, SHV, TEM); 2). Stool caecal sample DNA isolation; the PCR for detection ESBL genes; 3). Comparation between 1). vs 2).<br>
DOI: 10.3886/e245162
title: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai

description: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai
DOI: 10.25919/rd2g-jc28
title: NSW DIEF - Scenario-driven demand-side response events dataset from building co-simulation models

description: This collection contains timeseries relating to simulated demand response events against a digital twin building located across various climate zones within Australia.
DOI: 10.5281/zenodo.18618225
title: LINF_320045500

description: Cornichon-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18618224
title: LINF_320045500

description: Cornichon-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.3886/e245163
title: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai

description: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai
DOI: 10.5281/zenodo.18618252
title: Microbial-derived carbon enhances soil organic carbon thermal stability by strengthening mineral-organic interactions in Tibetan alpine grasslands
DOI: 10.5281/zenodo.18618251
title: Microbial-derived carbon enhances soil organic carbon thermal stability by strengthening mineral-organic interactions in Tibetan alpine grasslands
DOI: 10.34810/data2932
title: Replication Data for: An experimental approach for secondary consensus control tuning for inverter-based islanded microgrids

description: This dataset contains the measurements corresponding to the experimental results reported in the associated publication. All tests were carried out in the Microgrid Laboratory of the EPSEVG (Escola Politècnica Superior d’Enginyeria de Vilanova i la Geltrú, Universitat Politècnica de Catalunya – UPC) under controlled operating conditions. The results are stored in .mat format and can be easily plotted using the MATLAB script provided alongside the data.
DOI: 10.5281/zenodo.18618282
title: SARI-Hospitalisierungsinzidenz

description: Im Datensatz "SARI-Hospitalisierungsinzidenz" des Robert Koch-Instituts werden die wöchentlichen Inzidenzen schwerer akuter respiratorischer Infektionen (SARI) auf Bundesebene in Deutschland bereitgestellt. Die Daten stammen aus der syndromischen Krankenhaussurveillance ICOSARI, die auf ICD-10-Diagnosecodes aus etwa 70 Sentinelkliniken basiert. Der Datensatz umfasst Hospitalisierungsinzidenzen pro 100.000 Einwohner, aufgeschlüsselt nach Altersgruppen, Saison und Kalenderwoche. Neben der Gesamtheit aller SARI-Fälle werden auch Fälle mit zusätzlicher COVID-19-, Influenza- oder RSV-Diagnose separat erfasst. Die Surveillance liefert entscheidende Informationen zur Krankheitslast akuter respiratorischer Erkrankungen und dient als Grundlage für epidemiologische Bewertungen und Empfehlungen für gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.18618281
title: GrippeWeb - Daten des Wochenberichts

description: Im Datensatz "GrippeWeb - Daten des Wochenberichts" des Robert Koch-Instituts werden wöchentliche, bevölkerungsbasierte Schätzungen zur Inzidenz akuter respiratorischer Erkrankungen (ARE) und grippeähnlicher Erkrankungen (ILI) in Deutschland bereitgestellt. GrippeWeb als Online-Portal zur partizipativen syndromischen Surveillance nutzt Selbstauskünfte freiwilliger, pseudonym registrierter Teilnehmender ab 16 Jahren zu Symptomen wie Husten, Fieber und Halsschmerzen. Daraus werden Inzidenzen nach Altersgruppen und Regionen errechnet. Die erhobenen Daten unterstützen die Überwachung saisonaler Infektionen und dienen der Risikobewertung in Pandemien wie COVID-19.
DOI: 10.5281/zenodo.17737478
title: Explainable machine learning reveals drivers of amplifications and deletions across cancer genomes

description: Code deposited on GitHub.

 

This Zenodo contains:

 - Feature Matrix at nine CNA-length-location classes

 - Annotation results at four CNA-length classes

 - Raw and intermediate files for scripts

 



Abstract

Amplifications and deletions of genomic regions are pervasive features of cancer genomes, yet it remains largely unclear which of these focal copy number alterations (CNAs) or chromosome- and arm-level aneuploidies act as drivers of carcinogenesis and which merely reflect underlying chromosomal instability. In this study, we develop an explainable machine learning framework that predicts amplification and deletion frequencies across 11 cancer genomes by integrating genomic-structural features that shape the probability of CNA occurrence with gene-level features indicative of selection. The models achieve high performances across focal, mid-length, arm-level and chromosome-level events, revealing scale-, chromosome- and tumor-dependent selective and mechanistic forces. Local architectural features such as proximity to centromeres, telomeres, and fragile sites mainly drive focal CNAs, whereas mid-length and large-scale CNAs reflect a mixture of structural constraints, dosage sensitivity, and gene-specific selection linked to oncogenes, tumor suppressors, and essential genes. Using SHAP-based interpretability, we generate a genome-wide map that distinguishes regions whose copy-number states are best explained by selective pressure from those arising primarily through structural susceptibility, ultimately providing a web-based annotation browser, named PENNE (Prediction & Explanation of Non-neutral copy Number Events), to investigate the CNA landscape at different scales. Finally, longitudinal single-cell DNA-sequencing of Reversine-induced chromosomal-instability experiments validates the model: early aneuploidies are stochastic, but over time, chromosome arms predicted to confer selective advantage become preferentially retained. Together, our findings establish a framework for interpreting the CNA and aneuploidy landscape of cancer and for systematically uncovering their likely functional drivers.
DOI: 10.5281/zenodo.17737479
title: Explainable machine learning reveals drivers of amplifications and deletions across cancer genomes

description: Code deposited on GitHub.

 

This Zenodo contains:

 - Feature Matrix at nine CNA-length-location classes

 - Annotation results at four CNA-length classes

 - Raw and intermediate files for scripts

 



Abstract

Amplifications and deletions of genomic regions are pervasive features of cancer genomes, yet it remains largely unclear which of these focal copy number alterations (CNAs) or chromosome- and arm-level aneuploidies act as drivers of carcinogenesis and which merely reflect underlying chromosomal instability. In this study, we develop an explainable machine learning framework that predicts amplification and deletion frequencies across 11 cancer genomes by integrating genomic-structural features that shape the probability of CNA occurrence with gene-level features indicative of selection. The models achieve high performances across focal, mid-length, arm-level and chromosome-level events, revealing scale-, chromosome- and tumor-dependent selective and mechanistic forces. Local architectural features such as proximity to centromeres, telomeres, and fragile sites mainly drive focal CNAs, whereas mid-length and large-scale CNAs reflect a mixture of structural constraints, dosage sensitivity, and gene-specific selection linked to oncogenes, tumor suppressors, and essential genes. Using SHAP-based interpretability, we generate a genome-wide map that distinguishes regions whose copy-number states are best explained by selective pressure from those arising primarily through structural susceptibility, ultimately providing a web-based annotation browser, named PENNE (Prediction & Explanation of Non-neutral copy Number Events), to investigate the CNA landscape at different scales. Finally, longitudinal single-cell DNA-sequencing of Reversine-induced chromosomal-instability experiments validates the model: early aneuploidies are stochastic, but over time, chromosome arms predicted to confer selective advantage become preferentially retained. Together, our findings establish a framework for interpreting the CNA and aneuploidy landscape of cancer and for systematically uncovering their likely functional drivers.
DOI: 10.26180/5313727
title: GRS-CRC-201707-team7-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 7
DOI: 10.26180/5313727.v1
title: GRS-CRC-201707-team7-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 7
DOI: 10.26180/5313721
title: GRS-CRC-201707-team6-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 6
DOI: 10.26180/5313721.v1
title: GRS-CRC-201707-team6-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 6
DOI: 10.26180/5313715
title: GRS-CRC-201707-team4-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 4
DOI: 10.26180/5313715.v1
title: GRS-CRC-201707-team4-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 4
DOI: 10.26180/5313712
title: GRS-CRC-201707-team1-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 1
DOI: 10.26180/5313712.v1
title: GRS-CRC-201707-team1-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 1
DOI: 10.26180/5212435
title: GRS-CRC-201707-team3-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 3
DOI: 10.26180/5212435.v1
title: GRS-CRC-201707-team3-documents

description: 2017 Graduate Research Students' Day - Collaborative Research Challenge - Team 3
DOI: 10.5281/zenodo.18618149
title: Minnitt_2026_GoldOre_Dataset_SamplingStudy

description: 448 Gold assays (g/t) and sample masses (g). Fourteen different size fractions (cm). Each size fraction has 32 gold assays (g/t).
DOI: 10.5281/zenodo.18618150
title: Minnitt_2026_GoldOre_Dataset_SamplingStudy

description: 448 Gold assays (g/t) and sample masses (g). Fourteen different size fractions (cm). Each size fraction has 32 gold assays (g/t).
DOI: 10.3886/e245164
title: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai

description: Abortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In DubaiAbortion Pills In Dubai | )][(་༘࿐✓|+(་༘࿐✓)][(✓|+971)(521786258 )][( )] )][( )][(───୨200Mgৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Dubai
DOI: 10.34740/kaggle/dsv/14815738
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.18617966
title: AntiSPencoder

description:  T lymphocytes play critical roles in adaptive immunity via specifically recognizing diverse antigens and eliminate infected cells through highly diverse T cell receptors (TCRs). Here, we  developed AntiSPencoder, which models CDR3 or antigen peptide amino acid sequences as low-dimensional features. The codes of AntiSPencoder and corresponding data were provided here in this study.
DOI: 10.5281/zenodo.18606078
title: PanRes - Collection of antimicrobial resistance genes

description: PanRes database of antimicrobial resistance genes

Many different collections of antimicrobial resistance genes (ARGs) have been collected and used for various purposes. In order to develop a workflow for mass screening of public metagenomes, we recently gathered up and filtered in a number of these gene collections to produce PanRes.

For details, please see the methods section in the following publication:

 "ARGprofiler—a pipeline for large-scale analysis of antimicrobial resistance genes and their flanking regions in metagenomic datasets" 

Briefly, the PanRes gene collection is gathered from a combination of other resistance gene collections into one, so each unique sequence has an "pan_" identifier. Annotation tables provide an overview of all the genes, their origin database and which genes cluster together in high-identity clusters.A number of previously published collections of ARGs were used in the creation of PanRes (See references):

ResFinder (downloaded 2023-01-20, (Bortolaia et al. 2020)),ResFinderFG (version 2.0, (Gschwind et al. 2023))CARD (version 3.2.5, (Alcock et al. 2023))MegaRes (version 3.0.0, (Bonin et al. 2023))AMRFinderPlus (version 3.11/2022-12-19.1, (Feldgarden et al. 2021))ARGANNOT (V6_July2019, (Gupta et al. 2014))The 'CsabaPal' collection (Provided by Csaba Pál and Zoltán Farkas in November 2022, Daruka et al. 2023))BacMet (version 1.1, (Pal et al. 2014))