cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10623751
title: BigMouth: A static multi-view plenoptic camera sequence

description: Description

This is a static multi-view test sequence captured by a RayTrix R32 plenoptic camera [1] with a 50 mm lens. The lenslet captures of the sequence have been captured using RxLive and a xyz actuator that allows to position the camera in a volume of 0.82x1.2x0.85 meters. It comprises 25 views arranged in a 5x5 array with a separation of 1 cm in x and y axes.  The resolution of the lenslet images are 6464x4852.

Institutions

Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.

Folder structure

The dataset is composed of:



The calibration file: R32-C-D-10G-E024-GS-B_calibration.xml

The captured views as lenslet images in .png files: lenslet.zip

The captured views as total focus images in .png files (generated by RxLive software): total_focus.zip


Terms of use

Any kind of publication or report using this dataset should refer to the following reference:

Jaime Sancho, Hamed Razavi Khosroshahi, Manuel Villa, Alejandro Martinez de Ternero, Gonzalo Rosa, Alberto Martin, Guillermo Vazquez, Pallab Sutradhar, Pedro L. Cebrián, Miguel Chavarrias, Gauthier Lafruit, Mehrdad Teratani, Eduardo Juarez, Cesar Sanz. "[LVC] Proposal of a new multi-view plenoptic camera sequence: BigMouth", ISO/IEC JTC 1/SC 29/WG 4, m66503, January 2024, Online.
DOI: 10.5281/zenodo.10635407
title: SWECO25: Geologic (geol)

description: The geologic category contains the "geotechnic" dataset.

The geotechnic dataset describes the subsoil of Switzerland. After rasterizing and resampling the source data (Swisstopo, 1967) to the SWECO25 grid, we generated individual layers for the 30 classes that were available. For each class, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given class in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 420 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_geol.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Office of Topography [swisstopo]. Geotechnical map of Switzerland. (Wabern, Switzerland, 1967)

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.5281/zenodo.7981133
title: SWECO25: Geologic (geol)

description: The geologic category contains the "geotechnic" dataset.

The geotechnic dataset describes the subsoil of Switzerland. After rasterizing and resampling the source data (Swisstopo, 1967) to the SWECO25 grid, we generated individual layers for the 30 classes that were available. For each class, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given class in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 420 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_geol.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Office of Topography [swisstopo]. Geotechnical map of Switzerland. (Wabern, Switzerland, 1967)

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.5281/zenodo.7981134
title: SWECO25: Geologic (geol)

description: The geologic category (SWECO25 v1.0.0) contains the "geotechnic" dataset.

The geotechnic dataset describes the subsoil of Switzerland. After rasterizing and resampling the source data (Swisstopo, 1967) to the SWECO25 grid, we generated individual layers for the 30 classes that were available. For each class, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given class in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 420 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_geol.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Office of Topography [swisstopo]. Geotechnical map of Switzerland. (Wabern, Switzerland, 1967)
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.6084/m9.figshare.21062163
title: Additional file 2 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 2: Table S2. Volcano plot downregulated gene dataset.
DOI: 10.6084/m9.figshare.21062175
title: Additional file 6 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 6: Table S6. CTD database sources key genes.
DOI: 10.5281/zenodo.10635507
title: SWECO25: Population density (pop)

description: The population density category contains the "statpop" dataset.

The statpop dataset describes the population density in Switzerland. Using the “Population and Households Statistics” (STAPOP) data points (FSO, 2020), we generated yearly raster layers for the 2010-2020 period. For each year, we computed 13 focal statistics layers by applying a cell-level function calculating the mean and the total (sum) number of inhabitants in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 297 layers. As requested by the FSO, for privacy concerns, pixels with 1 to 4 inhabitants were given a value of 4. Final values were rounded and multiplied by 100. This dataset includes a total of 297 layers.

The detailed list of layers available is provided in SWECO25_datalayers_details_pop.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Statistical Office [FSO]. Population and Households Statistics (STAPOP). (Neuchâtel, Switzerland, 2020).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.5281/zenodo.7981094
title: SWECO25: Population density (pop)

description: The population density category contains the "statpop" dataset.

The statpop dataset describes the population density in Switzerland. Using the “Population and Households Statistics” (STAPOP) data points (FSO, 2020), we generated yearly raster layers for the 2010-2020 period. For each year, we computed 13 focal statistics layers by applying a cell-level function calculating the mean and the total (sum) number of inhabitants in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 297 layers. As requested by the FSO, for privacy concerns, pixels with 1 to 4 inhabitants were given a value of 4. Final values were rounded and multiplied by 100. This dataset includes a total of 297 layers.

The detailed list of layers available is provided in SWECO25_datalayers_details_pop.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Statistical Office [FSO]. Population and Households Statistics (STAPOP). (Neuchâtel, Switzerland, 2020).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.5281/zenodo.7981095
title: SWECO25: Population density (pop)

description: The population density category (SWECO25 v1.0.0) contains the "statpop" dataset.

The statpop dataset describes the population density in Switzerland. Using the “Population and Households Statistics” (STAPOP) data points (FSO, 2020), we generated yearly raster layers for the 2010-2020 period. For each year, we computed 13 focal statistics layers by applying a cell-level function calculating the mean and the total (sum) number of inhabitants in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 297 layers. As requested by the FSO, for privacy concerns, pixels with 1 to 4 inhabitants were given a value of 4. Final values were rounded and multiplied by 100. This dataset includes a total of 297 layers.

The detailed list of layers available is provided in SWECO25_datalayers_details_pop.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

Reference:

Swiss Federal Statistical Office [FSO]. Population and Households Statistics (STAPOP). (Neuchâtel, Switzerland, 2020).
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.6084/m9.figshare.12667665
title: Additional file 2 of QTL Mapping and Candidate Gene Analysis for Alkali Tolerance in Japonica Rice at the bud Stage Based on Linkage Mapping and Genome-Wide Association Study

description: Additional file 2 : Table S1. Descriptive statistics for root length under 0 mM NaHCO3 (C), and 40 NaHCO3 (A) Summary of the trait means in the parents, 184 recombinant inbred lines (RILs), and 295 rice accessions.
DOI: 10.6084/m9.figshare.12667665.v1
title: Additional file 2 of QTL Mapping and Candidate Gene Analysis for Alkali Tolerance in Japonica Rice at the bud Stage Based on Linkage Mapping and Genome-Wide Association Study

description: Additional file 2 : Table S1. Descriptive statistics for root length under 0 mM NaHCO3 (C), and 40 NaHCO3 (A) Summary of the trait means in the parents, 184 recombinant inbred lines (RILs), and 295 rice accessions.
DOI: 10.5281/zenodo.10635595
title: Hollardia_hollardi_AH2UA88_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10635596
title: Hollardia_hollardi_AH2UA88_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.12667668
title: Additional file 3 of QTL Mapping and Candidate Gene Analysis for Alkali Tolerance in Japonica Rice at the bud Stage Based on Linkage Mapping and Genome-Wide Association Study

description: Additional file 3 : Table S2 Summary of functional annotation results for genes in the candidate region on chromosome 11.
DOI: 10.5281/zenodo.10635423
title: 3DCuration: A dynamic plenoptic camera sequence

description: Description

This is a natural dynamic test sequence, 3DCuration, captured with a RayTrix R32 plenoptic 2.0 camera with a 50 mm lens. The lenslet captures of the sequence have been captured using RxLive. 192 frames were captured with a resolution of 6464x4852 pixels.

Institutions

Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.

Folder structure

The dataset is composed of:



The calibration file: total_focus.zip

The captured views as lenslet images in .png files: lenslet.zip

The captured views as total focus images in .png files (generated by RxLive software): total_focus.zip


Terms of use

Any kind of publication or report using this dataset should refer to the following reference:

Jaime Sancho, Hamed Razavi Khosroshahi, Manuel Villa, Alejandro Martinez de Ternero, Gonzalo Rosa, Alberto Martin, Guillermo Vazquez, Pallab Sutradhar, Pedro L. Cebrián, Miguel Chavarrias, Gauthier Lafruit, Mehrdad Teratani, Eduardo Juarez, Cesar Sanz. "[LVC] Proposal of a new multi-view plenoptic camera sequence: 3DCuration", ISO/IEC JTC 1/SC 29/WG 4, m66501, January 2024, Online.
DOI: 10.5281/zenodo.10635424
title: 3DCuration: A dynamic plenoptic camera sequence

description: Description

This is a natural dynamic test sequence, 3DCuration, captured with a RayTrix R32 plenoptic 2.0 camera with a 50 mm lens. The lenslet captures of the sequence have been captured using RxLive. 192 frames were captured with a resolution of 6464x4852 pixels.

Institutions

Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.

Folder structure

The dataset is composed of:



The calibration file: total_focus.zip

The captured views as lenslet images in .png files: lenslet.zip

The captured views as total focus images in .png files (generated by RxLive software): total_focus.zip


Terms of use

Any kind of publication or report using this dataset should refer to the following reference:

Jaime Sancho, Hamed Razavi Khosroshahi, Manuel Villa, Alejandro Martinez de Ternero, Gonzalo Rosa, Alberto Martin, Guillermo Vazquez, Pallab Sutradhar, Pedro L. Cebrián, Miguel Chavarrias, Gauthier Lafruit, Mehrdad Teratani, Eduardo Juarez, Cesar Sanz. "[LVC] Proposal of a new multi-view plenoptic camera sequence: 3DCuration", ISO/IEC JTC 1/SC 29/WG 4, m66501, January 2024, Online.
DOI: 10.5281/zenodo.10635602
title: Hollardia_meadi_USNMAG9RL06_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10635603
title: Hollardia_meadi_USNMAG9RL06_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.13192011
title: Additional file 8 of Loss function of SL (sekiguchi lesion) in the rice cultivar Minghui 86 leads to enhanced resistance to (hemi)biotrophic pathogens

description: Additional file 8: Table S2. Significant differentially expressed genes in sl-MH-1-48hpi/MH86-48hpi.
DOI: 10.6084/m9.figshare.13192011.v1
title: Additional file 8 of Loss function of SL (sekiguchi lesion) in the rice cultivar Minghui 86 leads to enhanced resistance to (hemi)biotrophic pathogens

description: Additional file 8: Table S2. Significant differentially expressed genes in sl-MH-1-48hpi/MH86-48hpi.
DOI: 10.6084/m9.figshare.21062193.v1
title: Additional file 1 of Genomic insights into the evolutionary history and diversification of bulb traits in garlic

description: Additional file 1: Table S1. Basic information for 233 accessions. Table S2. Statistics of variation in 230 garlic accessions from the GBS sequencing. Table S3. Basic information for 84 resequenced accessions. Table S4. Statistics and distribution of SNPs identified from 84 garlic accessions by resequencing. Table S5. Statistics and distribution of small indels identified from 84 garlic accessions by resequencing. Table S6. Divergent genomic regions between CG1 and CG2 (FST &gt; 0.5). Table S7. Genomic region with top 5% θπ ratio. Table S8. Genomic region with top 5% population branch statistic (PBS) values. Table S9. Genomic region with top 5% XP-CLR values. Table S10. Genes located in the sweep region of CG1 and CG2. Table S11. Genes underwent selection in both CG1 and CG2 groups. Table S12. Statistical data for RNA sequencing of bulbs in 81 accessions. Table S13. Statistical analysis for genes associated with bulb traits. Table S14. Statistical data of SNPs in the genic regions of 84 accessions. Table S15. Statistics of overlap ratio for the deleterious mutations between accessions. Table S16. Summary of deleterious mutation burden in 84 accessions. Table S17. Genetic loci associated with clove number in 230 accessions (P &lt; 5.32 ×10−9). Table S18. Differentially expressed genes by comparing the profiling of bulbs whose cloves are before enlargement and under enlarging-growth. Table S19. Differentially expressed genes underwent common selection in CG1 and CG2. Table S20. Primer sequences for constructing the overexpressed vector of Asa6G06199.1.
DOI: 10.6084/m9.figshare.13191984.v1
title: Additional file 10 of Loss function of SL (sekiguchi lesion) in the rice cultivar Minghui 86 leads to enhanced resistance to (hemi)biotrophic pathogens

description: Additional file 10: Table S4. Sequences of the qRT-PCR primers in this study.
DOI: 10.6084/m9.figshare.21062193
title: Additional file 1 of Genomic insights into the evolutionary history and diversification of bulb traits in garlic

description: Additional file 1: Table S1. Basic information for 233 accessions. Table S2. Statistics of variation in 230 garlic accessions from the GBS sequencing. Table S3. Basic information for 84 resequenced accessions. Table S4. Statistics and distribution of SNPs identified from 84 garlic accessions by resequencing. Table S5. Statistics and distribution of small indels identified from 84 garlic accessions by resequencing. Table S6. Divergent genomic regions between CG1 and CG2 (FST &gt; 0.5). Table S7. Genomic region with top 5% θπ ratio. Table S8. Genomic region with top 5% population branch statistic (PBS) values. Table S9. Genomic region with top 5% XP-CLR values. Table S10. Genes located in the sweep region of CG1 and CG2. Table S11. Genes underwent selection in both CG1 and CG2 groups. Table S12. Statistical data for RNA sequencing of bulbs in 81 accessions. Table S13. Statistical analysis for genes associated with bulb traits. Table S14. Statistical data of SNPs in the genic regions of 84 accessions. Table S15. Statistics of overlap ratio for the deleterious mutations between accessions. Table S16. Summary of deleterious mutation burden in 84 accessions. Table S17. Genetic loci associated with clove number in 230 accessions (P &lt; 5.32 ×10−9). Table S18. Differentially expressed genes by comparing the profiling of bulbs whose cloves are before enlargement and under enlarging-growth. Table S19. Differentially expressed genes underwent common selection in CG1 and CG2. Table S20. Primer sequences for constructing the overexpressed vector of Asa6G06199.1.
DOI: 10.6084/m9.figshare.25188629
title: Supplementary Material for: High-Resolution Characterization of Enamel Remineralization using Time-of-Flight Secondary Ion Mass Spectrometry and Electron Microscopy

description: The aim of this in vitro study was to assess the suitability of high-resolution time-of-flight secondary-ion mass spectrometry (ToF-SIMS) for visualizing cross-sectional changes in human enamel microstructure and chemical composition during treatment and remineralization cycling of artificially generated caries lesions underneath an artificial plaque. Treatments consisted of exposure to twice daily toothpaste/water slurries prepared from 0, 1100, and 5000 µg/g fluoride (F) NaF/Silica toothpastes. In addition, treatments with slurries prepared from 1100 µg/g F SnF2/Silica toothpastes were done using 44Ca in the remineralization solution to allow for differentiation of newly formed mineral and exploration of incorporated metal dopants using ToF-SIMS. Complementary microhardness, scanning electron microscopy, and high-resolution transmission electron microscopy (HR-TEM) investigations were performed on enamel cross-sections. HR-TEM was used for the first time to determine the change in crystallinity during remineralization revealing distinct microstructural zones within one lesion. Chemical mapping using ToF-SIMS demonstrated that the distribution of F, while observed primarily in the new mineral phase, was widespread throughout the lesion with 44Ca substantially limited to the remineralizing mineral. Both penetrated the inter-rod spaces of the sound enamel illustrating how acid damage propagates into the native mineral as the caries lesion deepens. HR-TEM examination revealed different regions within the lesion characterized by distinct micro- and ultra-structures. Importantly, HR-TEM revealed a return of crystallinity following remineralization. Fluoride dose response observations verified the ability of these high-resolution techniques to differentiate remineralization efficacy. The collective results provided new insights such as the visualization of fluoride or calcium penetration pathways, as well as new tools to study the caries process.
DOI: 10.17630/dd47de98-b469-42c4-b3de-d0cf733158f6
title: Exploring depth and distance perception in strabismus (thesis data)

description: There are three folders corresponding to 3 experimental chapters in the thesis. Each folder has two experiments within it, and the ReadMe.txt files describing the data. Some of the code for the experiments requires Matlab
DOI: 10.6084/m9.figshare.12667566
title: Additional file 1 of A cross-omics integrative study of metabolic signatures of chronic obstructive pulmonary disease

description: Additional file 1.
DOI: 10.13145/bacdive111407.20190402.4
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.