cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17630/24ae94ef-3de0-4d96-8ec9-045f60b9606b
title: Investigating the use of first-principles calculations for NMR studies of disordered in the solid state (thesis data)

description: This dataset contains the metadata for this thesis, including a folder "Figures" containing a .pdf version of each figure contained in this thesis, which can be opened using Preview or Adobe Illustrator. The folder "Research metadata" contains all the relevant metadata associated with this thesis, including metadata for NMR spectra and first-principles calculations. NMR spectra metadata can be viewed using Topspin software. Files including .castep, .magres, .cell, .param) can be opened using TextEdit. .cif and .res files can be opened using TextEdit or CrystalMaker software.
DOI: 10.6084/m9.figshare.20013160.v1
title: Additional file 1 of Comparing the efficacy and safety of cisplatin and other platinum-based chemotherapies in locally advanced nasopharyngeal carcinoma: a systematic review and meta-analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.20013160
title: Additional file 1 of Comparing the efficacy and safety of cisplatin and other platinum-based chemotherapies in locally advanced nasopharyngeal carcinoma: a systematic review and meta-analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.21062163.v1
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.20013100
title: Additional file 4 of Identification of a TGF-β signaling-related gene signature for prediction of immunotherapy and targeted therapy for lung adenocarcinoma

description: Additional file 4: Supplementary Table S2. The genes identified by Pearson correlation analysis were significantly negatively correlated with risk score.
DOI: 10.6084/m9.figshare.21062157
title: Additional file 10 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 10: Table S10. Lncrna downregulated gene dataset.
DOI: 10.6084/m9.figshare.21062135.v1
title: Additional file 3 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 3: Supplementary Table 1.
DOI: 10.6084/m9.figshare.21062138
title: Additional file 4 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 4: Supplementary Table 2.
DOI: 10.6084/m9.figshare.21062157.v1
title: Additional file 10 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 10: Table S10. Lncrna downregulated gene dataset.
DOI: 10.6084/m9.figshare.21062175.v1
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: 10.6084/m9.figshare.21062178
title: Additional file 7 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 7: Table S7. Upregulated miRNA dataset.
DOI: 10.6084/m9.figshare.21062144.v1
title: Additional file 6 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 6: Supplementary Table 4.
DOI: 10.6084/m9.figshare.21062141.v1
title: Additional file 5 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 5: Supplementary Table 3.
DOI: 10.6084/m9.figshare.21062141
title: Additional file 5 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 5: Supplementary Table 3.
DOI: 10.6084/m9.figshare.21062147.v1
title: Additional file 7 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 7: Supplementary Table 5.
DOI: 10.6084/m9.figshare.21062144
title: Additional file 6 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 6: Supplementary Table 4.
DOI: 10.6084/m9.figshare.21062147
title: Additional file 7 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 7: Supplementary Table 5.
DOI: 10.6084/m9.figshare.21062150
title: Additional file 8 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 8: Supplementary Table6.
DOI: 10.6084/m9.figshare.21062150.v1
title: Additional file 8 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 8: Supplementary Table6.
DOI: 10.6084/m9.figshare.21062169
title: Additional file 4 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 4: Table S4. Venn diagram dataset.
DOI: 10.5281/zenodo.10635381
title: SWECO25: Edaphic (edaph)

description: The edaphic category contains the "eiv" and "modiffus" datasets.

The eiv dataset includes variables representing local soil properties and climate conditions. After resampling the source data (Descombes et al., 2020) to the SWECO25 grid, we generated individual layers for the 8 available variables (soil pH, nutrients, moisture, moisture variability, aeration, humus, climate continentality, and light). For each variable, we provided a layer with the raw values and 13 focal statistics layers by applying a cell-level function calculating the mean value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 112 layers. Final values were rounded and multiplied by 100.

The modiffus dataset describes the nitrogen (n) and phosphorus (p) loads in Swiss soils. After resampling the source data (Hürdler et al., 2015) to the SWECO25 grid for these two variables, we provided the output maps and computed 13 focal statistics layers by applying a cell-level function calculating the average value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 28 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_edaph.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.

References:

Descombes, P. et al. Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography 43, 1448-1463 (2020).

Hürdler J., P. V., Spiess E. Abschätzung diffuser Stickstoff- und Phosphoreinträge in die Gewässer der Schweiz MODIFFUS 3.0: Bericht im Auftrag des Bundesamtes für Umwelt (BAFU). (Zürich, Switzerland, 2015).

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.7981142
title: SWECO25: Edaphic (edaph)

description: The edaphic category contains the "eiv" and "modiffus" datasets.

The eiv dataset includes variables representing local soil properties and climate conditions. After resampling the source data (Descombes et al., 2020) to the SWECO25 grid, we generated individual layers for the 8 available variables (soil pH, nutrients, moisture, moisture variability, aeration, humus, climate continentality, and light). For each variable, we provided a layer with the raw values and 13 focal statistics layers by applying a cell-level function calculating the mean value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 112 layers. Final values were rounded and multiplied by 100.

The modiffus dataset describes the nitrogen (n) and phosphorus (p) loads in Swiss soils. After resampling the source data (Hürdler et al., 2015) to the SWECO25 grid for these two variables, we provided the output maps and computed 13 focal statistics layers by applying a cell-level function calculating the average value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 28 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_edaph.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.

References:

Descombes, P. et al. Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography 43, 1448-1463 (2020).

Hürdler J., P. V., Spiess E. Abschätzung diffuser Stickstoff- und Phosphoreinträge in die Gewässer der Schweiz MODIFFUS 3.0: Bericht im Auftrag des Bundesamtes für Umwelt (BAFU). (Zürich, Switzerland, 2015).

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.7981143
title: SWECO25: Edaphic (edaph)

description: The edaphic category (SWECO25 v1.0.0) contains the "eiv" and "modiffus" datasets.

The eiv dataset includes variables representing local soil properties and climate conditions. After resampling the source data (Descombes et al., 2020) to the SWECO25 grid, we generated individual layers for the 8 available variables (soil pH, nutrients, moisture, moisture variability, aeration, humus, climate continentality, and light). For each variable, we provided a layer with the raw values and 13 focal statistics layers by applying a cell-level function calculating the mean value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 112 layers. Final values were rounded and multiplied by 100.

The modiffus dataset describes the nitrogen (n) and phosphorus (p) loads in Swiss soils. After resampling the source data (Hürdler et al., 2015) to the SWECO25 grid for these two variables, we provided the output maps and computed 13 focal statistics layers by applying a cell-level function calculating the average value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 28 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_edaph.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.

References:

Descombes, P. et al. Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography 43, 1448-1463 (2020).

Hürdler J., P. V., Spiess E. Abschätzung diffuser Stickstoff- und Phosphoreinträge in die Gewässer der Schweiz MODIFFUS 3.0: Bericht im Auftrag des Bundesamtes für Umwelt (BAFU). (Zürich, Switzerland, 2015).
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.21062138.v1
title: Additional file 4 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 4: Supplementary Table 2.
DOI: 10.6084/m9.figshare.13192014.v1
title: Additional file 9 of Loss function of SL (sekiguchi lesion) in the rice cultivar Minghui 86 leads to enhanced resistance to (hemi)biotrophic pathogens

description: Additional file 9: Table S3. Quantification of serotonin, tryptamine, L-trytophan and L-glutamine by UHPLC-MS.
DOI: 10.22008/fk2/fowdqp
title: Gravimetry map of Denmark

description: Kortene er baseret data leveret af DTU Space fra den nationale tyngdedatabase. Kortet viser terrænkorrigeret Bougueranomali på land og friluftsanomali tyngdekraft til søs. Tyngdeanomali er målt i mGal. Der er ingen uniform og stringent datum definition. UTM projektionen er defineret i forhold til WGS84-ellipsoiden. For marine data i de danske farvande er datum mest defineret ved ED50.
DOI: 10.22008/fk2/fowdqp/vubglk
title: Gravimetry map of Denmark-1.pdf

description: :unav
DOI: 10.6084/m9.figshare.21062169.v1
title: Additional file 4 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 4: Table S4. Venn diagram dataset.
DOI: 10.2908/migr_asyumwfna
title: Aberkennungen und Entzug von endgültig gewährtem Status im Rechtsmittelverfahren eines mutmaßlich unbegleiteten Minderjährigen nach gewährtem Status, Staatsangehörigkeit und Begründung - jährliche Daten
title: Decisions withdrawing status granted as final decision in appeal or review to unaccompanied minors by type of status withdrawn, citizenship and reason - annual data
title: Retraits du statut conféré par une décision définitive aux mineurs non accompagnés par type de statut retiré, nationalité et raison - données annuelles
DOI: 10.6084/m9.figshare.21062135
title: Additional file 3 of Effect of downregulated citrate synthase on oxidative phosphorylation signaling pathway in HEI-OC1 cells

description: Additional file 3: Supplementary Table 1.
DOI: 10.17630/0dac65b6-0b88-4ab7-9398-d62f5c96e8fb
title: data underpinning "Base-free Enantioselective C(1)-Ammonium Enolate Catalysis Exploiting Aryloxides: A Synthetic and Mechanistic Study"

description: data underpinning experimental work
DOI: 10.6084/m9.figshare.21062181
title: Additional file 8 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 8: Table S8. Downregulated miRNA dataset.
DOI: 10.17630/9d2592bc-bdac-49b2-bc7b-f456957304ab
title: Coordination Controlled Electrodeposition and Patterning of Layers of Palladium/Copper Nanoparticles on Top of a Self-Assembled Monolayer (dataset)
DOI: 10.6084/m9.figshare.21062181.v1
title: Additional file 8 of Identification and analysis of mitochondria-related key genes of heart failure

description: Additional file 8: Table S8. Downregulated miRNA dataset.
DOI: 10.5281/zenodo.10635435
title: SWECO25: Land Use and Cover (lulc)

description: The land use and cover category contains the "geostat25" and "wslhabmap" datasets. 

The geostat25 dataset describes the land use and cover of Switzerland. After resampling the “Downscaled Land Use/Land Cover of Switzerland” source data (Giuliani et al., 2022) to the SWECO25 grid, we generated individual layers for the 65 land use and cover classes and the 3 time periods (1992-1997, 2004-2009, and 2013-2018) that were available. For each class and period, 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 2,730 layers. Final values were rounded and multiplied by 100. 

The wslhabmap dataset (land use and cover category) describes the natural habitats of Switzerland. After rasterizing and resampling the “Habitat Map of Switzerland v1” source data (Price et al., 2021) to the SWECO25 grid, we generated individual layers for 41 categories (32 classes and 9 groups). The groups correspond to the first level of the TypoCH classification and the classes to the second level. For details on the TypoCH classification see Delarze, R., Gonseth, Y., Eggenberg, S., & Vust, M. (2015). Guide des milieux naturels de Suisse : Écologie, menaces, espèces caractéristiques. Rossolis. For each of the 41 categories, 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 category in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 574 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_lulc.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.

References: 

G. Giuliani, D. Rodila, N. Külling, R. Maggini, A. Lehmann, Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System. Land 11, 615 (2022).

B. Price, Huber, N., Ginzler, C., Pazúr, R., Rüetschi, M., "The Habitat Map of Switzerland v1," (Birmensdorf, Switzerland, 2021)

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.7981109
title: SWECO25: Land Use and Cover (lulc)

description: The land use and cover category contains the "geostat25" and "wslhabmap" datasets. 

The geostat25 dataset describes the land use and cover of Switzerland. After resampling the “Downscaled Land Use/Land Cover of Switzerland” source data (Giuliani et al., 2022) to the SWECO25 grid, we generated individual layers for the 65 land use and cover classes and the 3 time periods (1992-1997, 2004-2009, and 2013-2018) that were available. For each class and period, 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 2,730 layers. Final values were rounded and multiplied by 100. 

The wslhabmap dataset (land use and cover category) describes the natural habitats of Switzerland. After rasterizing and resampling the “Habitat Map of Switzerland v1” source data (Price et al., 2021) to the SWECO25 grid, we generated individual layers for 41 categories (32 classes and 9 groups). The groups correspond to the first level of the TypoCH classification and the classes to the second level. For details on the TypoCH classification see Delarze, R., Gonseth, Y., Eggenberg, S., & Vust, M. (2015). Guide des milieux naturels de Suisse : Écologie, menaces, espèces caractéristiques. Rossolis. For each of the 41 categories, 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 category in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 574 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_lulc.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.

References: 

G. Giuliani, D. Rodila, N. Külling, R. Maggini, A. Lehmann, Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System. Land 11, 615 (2022).

B. Price, Huber, N., Ginzler, C., Pazúr, R., Rüetschi, M., "The Habitat Map of Switzerland v1," (Birmensdorf, Switzerland, 2021)

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.10623750
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.