cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2015.1441
title: Investigation of carbon formation on Ni-based ceria zirconia catalysts in the autothermal steam reforming of acetic acid
DOI: 10.14457/cu.the.2015.1442
title: Environmental life cycle assessment of palm oil based microemulsion biofuels production
DOI: 10.34740/kaggle/ds/400588
title: MRI Hippocampus Segmentation
DOI: 10.6084/m9.figshare.19493597
title: Data_Stimulus.xlsx

description: X, Y, Z coordinates of the stimulus position in world frame.
DOI: 10.6084/m9.figshare.19493597.v1
title: Data_Stimulus.xlsx

description: X, Y, Z coordinates of the stimulus position in world frame.
DOI: 10.6084/m9.figshare.19493642
title: Data_Bee.xlsx

description: X, Y, Z coordinates of honeybee 3D position in world frame.
DOI: 10.6084/m9.figshare.19493642.v1
title: Data_Bee.xlsx

description: X, Y, Z coordinates of honeybee 3D position in world frame.
DOI: 10.5281/zenodo.5571613
title: Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat 8 time series for the years 2017 - 2020

description: Grasslands provide a wide range of important ecosystem services. Mapping and assessing the status and use intensity of grasslands is thus important for environmental monitoring. We here provide maps with detected mowing events, as a proxy for grassland use intensity, for grassland areas across Germany for the years 2017 to 2020. The algorithm used to derive the maps is described in Schwieder, et al. (accepted) and is available as a user-defined function for the FORCE (Frantz, D., 2019) environment (https://github.com/davidfrantz/force-udf/tree/main/python/ts/mowingDetection). The here provided GeoTiffs contain a band with the number of detected mowing events per pixel for the repsective year. In the products, only stable grassland areas that were consistently classified as grassland within three years (2017 - 2019) were considered, based on crop maps provided by Blickensdörfer et al. (2021). Note that grassland uses (pasture, mowed, mixed) were not separated prior to analysis. The maps for 2018, 2019, and 2020 were validated in different regions of Germany, with accuracies - in terms of Mean Absolute Percentage Error - ranging from 35% to 40% (for more details see Schwieder et al. accepted). The maps may thus give an indication of extensively or intensively grassland use. Please contact the authors, if you are interested in additional products e.g., regarding the estimated mowing dates. All satellite data were downloaded, pre-processed and structured in an analysis-ready data (ARD) cube using the open-source software FORCE - Framework for Operational Radiometric Correction for Environmental monitoring (Frantz, D., 2019; https://force-eo.readthedocs.io/en/latest/ last accessed: 15. October 2021). References: Blickensdörfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., & Hostert, P.. (2021). National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data (2017, 2018 and 2019) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5153047 Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124. Schwieder, M., Wesemeyer, M., Frantz, D., Pfoch, K., Erasmi, S., Pickert, J., Nendel, C., & Hostert, P. (2022). Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sensing of Environment, 269, 112795. Grassland mowing events across Germany © 2022 by Schwieder, Marcel; Wesemeyer, Maximilian; Frantz, David; Pfoch, Kira; Erasmi, Stefan; Pickert, Jürgen; Nendel, Claas; Hostert, Patrick is licensed under CC BY 4.0.
DOI: 10.5281/zenodo.5571612
title: Grassland mowing events across Germany detected from combined Sentinel-2 and Landsat 8 time series for the years 2017 - 2020

description: Grasslands provide a wide range of important ecosystem services. Mapping and assessing the status and use intensity of grasslands is thus important for environmental monitoring. We here provide maps with detected mowing events, as a proxy for grassland use intensity, for grassland areas across Germany for the years 2017 to 2020. The algorithm used to derive the maps is described in Schwieder, et al. (accepted) and is available as a user-defined function for the FORCE (Frantz, D., 2019) environment (https://github.com/davidfrantz/force-udf/tree/main/python/ts/mowingDetection). The here provided GeoTiffs contain a band with the number of detected mowing events per pixel for the repsective year. In the products, only stable grassland areas that were consistently classified as grassland within three years (2017 - 2019) were considered, based on crop maps provided by Blickensdörfer et al. (2021). Note that grassland uses (pasture, mowed, mixed) were not separated prior to analysis. The maps for 2018, 2019, and 2020 were validated in different regions of Germany, with accuracies - in terms of Mean Absolute Percentage Error - ranging from 35% to 40% (for more details see Schwieder et al. accepted). The maps may thus give an indication of extensively or intensively grassland use. Please contact the authors, if you are interested in additional products e.g., regarding the estimated mowing dates. All satellite data were downloaded, pre-processed and structured in an analysis-ready data (ARD) cube using the open-source software FORCE - Framework for Operational Radiometric Correction for Environmental monitoring (Frantz, D., 2019; https://force-eo.readthedocs.io/en/latest/ last accessed: 15. October 2021). References: Blickensdörfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., & Hostert, P.. (2021). National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data (2017, 2018 and 2019) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5153047 Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124. Schwieder, M., Wesemeyer, M., Frantz, D., Pfoch, K., Erasmi, S., Pickert, J., Nendel, C., & Hostert, P. (2022). Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sensing of Environment, 269, 112795. Grassland mowing events across Germany © 2022 by Schwieder, Marcel; Wesemeyer, Maximilian; Frantz, David; Pfoch, Kira; Erasmi, Stefan; Pickert, Jürgen; Nendel, Claas; Hostert, Patrick is licensed under CC BY 4.0.
DOI: 10.48677/1f9089d2-5d08-4b54-b2c7-4b3c0af7d060
title: KM50-R CRS25833Res50000mN5150000E450000 1420-1 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.34740/kaggle/dsv/2336194
title: Spacenet satelite images
DOI: 10.48677/1917e5a7-3998-4c1f-be54-47734da0a1b7
title: KM50-R CRS25833Res50000mN5100000E450000 1420-3 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.34740/kaggle/dsv/552747
title: Tabriz Air Pollution DataSet
DOI: 10.34740/kaggle/dsv/193325
title: MICM Music Dataset
DOI: 10.34740/kaggle/dsv/41872
title: PLF Image Dataset
DOI: 10.48677/cf71268f-972d-4260-9bd1-181b0db2df4f
title: KM50-R CRS25833Res50000mN5400000E500000 1550-2 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet.
DOI: 10.5281/zenodo.6404848
title: Annual average temperature at Changbai station

description: Annual average temperature at Changbai station
DOI: 10.5281/zenodo.6404847
title: Annual average temperature at Changbai station

description: Annual average temperature at Changbai station
DOI: 10.48677/4c2a1845-b764-42e5-830a-01359bc7fdc4
title: KM50-R CRS25833Res50000mN5350000E500000 1540-0 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.34740/kaggle/dsv/28465
title: PCVC Speech Dataset
DOI: 10.5281/zenodo.6402207
title: Supplementary Information for "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB Module"

description: This is the external Supplementary Information for our publication "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module". Unlike most of our publications, this short paper does not come with an official Supplementary Information. However, this zenodo entry contains the raw data and metadata for all items in the main text as well as all raw NMR spectra. For more details on this work, please see the origin publication detailing PUB (10.1021/acs.analchem.1c05356) as well as its external Supplementary Information on this platform (10.5281/zenodo.5760392).
DOI: 10.5281/zenodo.6397423
title: Supplementary Information for "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB Module"

description: This is the external Supplementary Information for our publication "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module". Unlike most of our publications, this short paper does not come with an official Supplementary Information. However, this zenodo entry contains the raw data and metadata for all items in the main text as well as all raw NMR spectra. For more details on this work, please see the origin publication detailing PUB (10.1021/acs.analchem.1c05356) as well as its external Supplementary Information on this platform (10.5281/zenodo.5760392).
DOI: 10.48677/47a31b79-a5c3-42c9-8cee-40b0544be292
title: KM50-R CRS25833Res50000mN5300000E500000 1540-2 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.24378/exe.3683
title: Production of the extremolyte cyclic 2,3-diphosphoglycerate using Thermus thermophilus as a whole-cell factory (dataset)

description: This is the dataset used for the De Rose et al. (2022) article "Production of the Extremolyte Cyclic 2,3-Diphosphoglycerate Using Thermus thermophilus as a Whole-Cell Factory" published in Frontiers in Catalysis.
description: Raw data relative to the experiments shown in the paper. No special software required.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/129051
DOI: 10.5281/zenodo.5911097
title: TBGA: A Large-Scale Gene-Disease Association Dataset for Biomedical Relation Extraction

description: This repository contains the TBGA dataset. TBGA is a large-scale, semi-automatically annotated dataset for Gene-Disease Association (GDA) extraction. The dataset consists of three text files, corresponding to train, validation, and test sets, plus an additional JSON file containing the mapping between relation names and IDs. Each record in train, validation, or test files corresponds to a single GDA extracted from a sentence. Records are represented as JSON objects with the following structure: <strong>text:</strong> sentence from which the GDA was extracted. <strong>relation:</strong> relation name associated with the given GDA. <strong>h: </strong>JSON object representing the gene entity, composed of: <strong>id: </strong>NCBI Entrez ID associated with the gene entity. <strong>name:</strong> NCBI official gene symbol associated with the gene entity. <strong>pos: </strong>list consisting of starting position and length of the gene mention within text. <strong>t:</strong> JSON object representing the disease entity, composed of: <strong>id: </strong>UMLS CUI associated with the disease entity. <strong>name:</strong> UMLS preferred term associated with the disease entity. <strong>pos:</strong> list consisting of starting position and length of the disease mention within text. TBGA contains over 200,000 instances and 100,000 bags.<br> The zip file consists of one folder, named TBGA, containing the files corresponding to the dataset. If you use or extend our work, please cite the following: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04646-6#citeas<br> TBGA paper can be found at: https://rdcu.be/cKkY2<br> TBGA code is available at: https://github.com/GDAMining/gda-extraction
DOI: 10.5281/zenodo.5911096
title: TBGA: A Large-Scale Gene-Disease Association Dataset for Biomedical Relation Extraction

description: This repository contains the TBGA dataset. TBGA is a large-scale, semi-automatically annotated dataset for Gene-Disease Association (GDA) extraction. The dataset consists of three text files, corresponding to train, validation, and test sets, plus an additional JSON file containing the mapping between relation names and IDs. Each record in train, validation, or test files corresponds to a single GDA extracted from a sentence. Records are represented as JSON objects with the following structure: <strong>text:</strong> sentence from which the GDA was extracted. <strong>relation:</strong> relation name associated with the given GDA. <strong>h: </strong>JSON object representing the gene entity, composed of: <strong>id: </strong>NCBI Entrez ID associated with the gene entity. <strong>name:</strong> NCBI official gene symbol associated with the gene entity. <strong>pos: </strong>list consisting of starting position and length of the gene mention within text. <strong>t:</strong> JSON object representing the disease entity, composed of: <strong>id: </strong>UMLS CUI associated with the disease entity. <strong>name:</strong> UMLS preferred term associated with the disease entity. <strong>pos:</strong> list consisting of starting position and length of the disease mention within text. TBGA contains over 200,000 instances and 100,000 bags.<br> The zip file consists of one folder, named TBGA, containing the files corresponding to the dataset. If you use or extend our work, please cite the following: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04646-6#citeas<br> TBGA paper can be found at: https://rdcu.be/cKkY2<br> TBGA code is available at: https://github.com/GDAMining/gda-extraction
DOI: 10.48677/e5f0515b-ac56-4962-b8d3-824b940de541
title: KM50-R CRS25833Res50000mN5250000E500000 1530-0 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/db2fa761-284c-41f8-b751-f14065811330
title: KM50-R CRS25833Res50000mN5200000E500000 1530-2 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.6084/m9.figshare.19493684
title: Data for all analysis. from Photoperiod controls wing polyphenism in a water strider independently of insulin receptor signalling

description: Processed and raw data used for all analysis and figures.
DOI: 10.6084/m9.figshare.19493684.v1
title: Data for all analysis. from Photoperiod controls wing polyphenism in a water strider independently of insulin receptor signalling

description: Processed and raw data used for all analysis and figures.
DOI: 10.6084/m9.figshare.19493690
title: R-script - statistical analysis and visualization. from Photoperiod controls wing polyphenism in a water strider independently of insulin receptor signalling

description: Code for all analysis and for visualizing data in figures.
DOI: 10.6084/m9.figshare.19493690.v1
title: R-script - statistical analysis and visualization. from Photoperiod controls wing polyphenism in a water strider independently of insulin receptor signalling

description: Code for all analysis and for visualizing data in figures.
DOI: 10.5281/zenodo.6405084
title: Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

description: Here are the datasets for the publication named "Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation" published in Nature Communications. Experimental cycling data for three commercial 18650 type batteries (Dataset_1:NCA battery, Dataset_2:NCM battery, and Dataset_3:NCM+NCA_battery) are given, where each csv file corresponds to one cell cycling data. The cells are named as CY<em>X-Y_Z</em>-#<em>N</em> according to their cycling conditions. <em>X</em> means the temperature, <em>Y_Z</em> represents the charge_discharge current rate, #<em>N</em> is the cell tag. Each csv file has 9 columns, including cycle time ('time/s'), controlled voltage and current ('control/V/mA'), battery voltage ('Ecell/V'), applied current ('&lt;I&gt;/mA'), charge or discharge electricity ('Q discharge/mA.h' and 'Q discharge/mA.h'), controlled voltage or current ('control/V', 'control/mA' and ), and cycle number ('cycle number'). In the impedance data, one representative cell from each cycling condition is chosen for the discussion in the main text. More detailed descriptions can be found in the zip file.
DOI: 10.5281/zenodo.6379165
title: Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

description: Here are the datasets for the publication named "Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation" published in Nature Communications. Experimental cycling data for three commercial 18650 type batteries (Dataset_1:NCA battery, Dataset_2:NCM battery, and Dataset_3:NCM+NCA_battery) are given, where each csv file corresponds to one cell cycling data. The cells are named as CY<em>X-Y_Z</em>-#<em>N</em> according to their cycling conditions. <em>X</em> means the temperature, <em>Y_Z</em> represents the charge_discharge current rate, #<em>N</em> is the cell tag. Each csv file has 9 columns, including cycle time ('time/s'), controlled voltage and current ('control/V/mA'), battery voltage ('Ecell/V'), applied current ('&lt;I&gt;/mA'), charge or discharge electricity ('Q discharge/mA.h' and 'Q discharge/mA.h'), controlled voltage or current ('control/V', 'control/mA' and ), and cycle number ('cycle number'). In the impedance data, one representative cell from each cycling condition is chosen for the discussion in the main text. More detailed descriptions can be found in the zip file.
DOI: 10.48677/8c494812-05fa-4851-834a-f8b538516ef7
title: KM50-R CRS25833Res50000mN5150000E500000 1520-0 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/4216ad03-a556-4be3-b3bc-71d92f7597ef
title: KM50-R CRS25833Res50000mN5400000E550000 1550-3 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/d741a1e6-2b77-4bc6-ac84-c8bfd4331d1e
title: KM50-R CRS25833Res50000mN5350000E550000 1540-1 Stichtag 01.07.2021

description: Das Kartographische Modell 1:50 000 - Raster (KM50-R) ist die digitale staatliche Karte des gesamten österreichischen Staatsgebietes im Grundmaßstab 1:50 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt flächendeckend in periodischen Abständen aber auch anlassbezogen bei bedeutenden infrastrukturellen Veränderungen. Aus dem KM50-R wird die staatliche Österreichische Karte 1:50 000 (ÖK50) - in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) - sowie die Österreichische Karte 1:25 000 (ÖK25V) abgeleitet. Diese 50km x 50km Kachel ist eine von insgesamt 63 Kacheln, welche zusammen das Gebiet Österreich abdecken.