cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9xkhgts2s6.2
title: Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays)

description: This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publically available datasets as listed under the references section. The present dataset contains 1281 COVID-19 X-Rays, 3270 Normal X-Rays, 1656 viral-pneumonia X-Rays, and 3001 bacterial-pneumonia X-Rays. The collected datasets—as cited by this dataset—are combined to form an integrated repository. This integrated repository contains a total of 4558 COVID-19 X-Rays, 5403 Normal X-Rays, 4497 Viral pneumonia X-Rays, and 5768 bacterial pneumonia X-Rays. Out of which 1379 COVID-19 X-Rays, 1476 normal X-Rays, 2690 viral pneumonia X-Rays, and 2588 bacterial pneumonia X-Rays are found to be duplicates—based on the image similarities—and thus are removed. Inception V3 architecture is used to obtain the image embeddings, which is followed by the use of unsupervised learning algorithms based on cosine similarity distances. These distances are clustered and then visualized to find different categories of image defects which are listed below:— 1.Noise 2.Pixelated 3.Compressed 4.Medical Implants 5.Washed out image 6.Side View 7.CT (sliced) image 8.Aspect Ratio distortion / Cropped / Zoomed 9.Rotated Images 10.Images with annotations These clusters of defective images are removed during the curation process and a refined dataset is obtained which is available for download.
DOI: 10.17632/9xkhgts2s6.4
title: Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays).

description: This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publically available datasets as listed under the references section. The present dataset contains 1281 COVID-19 X-Rays, 3270 Normal X-Rays, 1656 viral-pneumonia X-Rays, and 3001 bacterial-pneumonia X-Rays.
This dataset is developed as a part of the following research publication.

"A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images" 
https://doi.org/10.1016/j.asoc.2021.107522

The collected datasets—as cited by this dataset—are combined to form an integrated repository. This integrated repository contains a total of 4558 COVID-19 X-Rays, 5403 Normal X-Rays, 4497 Viral pneumonia X-Rays, and 5768 bacterial pneumonia X-Rays. Out of which 1379 COVID-19 X-Rays, 1476 normal X-Rays, 2690 viral pneumonia X-Rays, and 2588 bacterial pneumonia X-Rays are found to be duplicates—based on the image similarities—and thus are removed. Inception V3 architecture is used to obtain the image embeddings, which is followed by the use of unsupervised learning algorithms based on cosine similarity distances. These distances are clustered and then visualized to find different categories of image defects which are listed below:—

1.Noise
2.Pixelated 
3.Compressed
4.Medical Implants
5.Washed out image
6.Side View
7.CT (sliced) image
8.Aspect Ratio distortion / Cropped / Zoomed 
9.Rotated Images
10.Images with annotations

These clusters of defective images are removed during the curation process and a refined dataset is obtained which is available for download.
DOI: 10.5281/zenodo.7182186
title: Supplemental Information: Abrupt episode of mid-Cretaceous ocean acidification triggered by massive volcanism

description: Supplementary data for Jones et al. (2023) in Nature Geoscience, including all newly measured geochemical data and coding scripts in R and MATLAB for modeling of osmium geochemical time series.
DOI: 10.5281/zenodo.7182185
title: Supplemental Information: Abrupt episode of mid-Cretaceous ocean acidification triggered by massive volcanism

description: Supplementary data for Jones et al. (2023) in Nature Geoscience, including all newly measured geochemical data and coding scripts in R and MATLAB for modeling of osmium geochemical time series.
DOI: 10.5281/zenodo.7339351
title: Romanian Higher Education Institutions Index

description: Aggregated index of all the Romanian Higher Education Institutions: Romanian Civil State Higher Education Institutions Index (https://zenodo.org/record/7337498) Romanian Higher Education Institutions with a Military Profile Index (https://zenodo.org/record/7339338) Romanian Accredited Private Higher Education Institutions Index (https://zenodo.org/record/7339344)
DOI: 10.5281/zenodo.7339350
title: Romanian Higher Education Institutions Index

description: Aggregated index of all the Romanian Higher Education Institutions: Romanian Civil State Higher Education Institutions Index (https://zenodo.org/record/7337498) Romanian Higher Education Institutions with a Military Profile Index (https://zenodo.org/record/7339338) Romanian Accredited Private Higher Education Institutions Index (https://zenodo.org/record/7339344)
DOI: 10.5281/zenodo.7406516
title: Romanian Higher Education Institutions Index

description: Aggregated index of all the Romanian Higher Education Institutions: Romanian Civil State Higher Education Institutions Index (https://zenodo.org/record/7337498) Romanian Higher Education Institutions with a Military Profile Index (https://zenodo.org/record/7339338) Romanian Accredited Private Higher Education Institutions Index (https://zenodo.org/record/7339344)
DOI: 10.6084/m9.figshare.21674777
title: Table S3

description: <strong>Table S3. </strong> <strong>Significantly differentially expressed lipids based on |fold change| ≥1.5 and FDR ≤ 0.05 between infected cells at 16h and 48h and between Niclosamide (NIC) treated infected cells and vehicle treated infected cells at 48h.</strong> <br> It is common in lipidomics to have isomeric identification due to the inability of chromatography to separate out all isomers detected. A ‘1’ in the name of the lipid means that MS/MS data was able to identify down to the fatty acyl chains, while a ‘2’ means that all ion fragmentation (AIF) was used for identification, and a ‘3’ means that only fragmentation associated with the head group was available for identification. <br> <strong>Lipid Molecule</strong> Identity of lipid molecule(s), see above for description of level of identification <br> <strong>Polarity mode</strong> Positive or negative polarity of molecule identified <br> <strong>m/z</strong> Mass-to-charge ratio of molecule identified <br> <strong>Retention Time (RT)</strong> Retention time of molecule eluting from column <br> <strong>Lipid Class</strong> Class of lipid(s) identified <br> <strong>Adduct_At_Max_Intensity</strong> Adduct observed for species identified <br> <strong>Fold change (log2)</strong> Fold change of species identified <br> <strong>FDR adjusted P-value</strong> Corrected p-value for lipid species identified <br>
DOI: 10.6084/m9.figshare.21674777.v2
title: Table S3

description: <strong>Table S3. </strong> <strong>Significantly differentially expressed lipids based on |fold change| ≥1.5 and FDR ≤ 0.05 between infected cells at 16h and 48h and between Niclosamide (NIC) treated infected cells and vehicle treated infected cells at 48h.</strong> <br> It is common in lipidomics to have isomeric identification due to the inability of chromatography to separate out all isomers detected. A ‘1’ in the name of the lipid means that MS/MS data was able to identify down to the fatty acyl chains, while a ‘2’ means that all ion fragmentation (AIF) was used for identification, and a ‘3’ means that only fragmentation associated with the head group was available for identification. <br> <strong>Lipid Molecule</strong> Identity of lipid molecule(s), see above for description of level of identification <br> <strong>Polarity mode</strong> Positive or negative polarity of molecule identified <br> <strong>m/z</strong> Mass-to-charge ratio of molecule identified <br> <strong>Retention Time (RT)</strong> Retention time of molecule eluting from column <br> <strong>Lipid Class</strong> Class of lipid(s) identified <br> <strong>Adduct_At_Max_Intensity</strong> Adduct observed for species identified <br> <strong>Fold change (log2)</strong> Fold change of species identified <br> <strong>FDR adjusted P-value</strong> Corrected p-value for lipid species identified <br>
DOI: 10.6084/m9.figshare.21674777.v1
title: Table S3

description: <strong>Table S3. Significantly identified lipids based on |fold change| ≥1.5 and FDR ≤ 0.05 across all conditions </strong> It is common in lipidomics to have isomeric identification due to the inability of chromatography to separate out all isomers detected. A ‘1’ in the name of the lipid means that MS/MS data was able to identify down to the fatty acyl chains, while a ‘2’ means that all ion fragmentation (AIF) was used for identification, and a ‘3’ means that only fragmentation associated with the head group was available for identification. <br> <strong>Lipid Molecule</strong> Identity of lipid molecule(s), see above for description of level of identification <br> <strong>Polarity mode</strong> Positive or negative polarity of molecule identified <br> <strong>m/z</strong> Mass-to-charge ratio of molecule identified <br> <strong>Retention Time (RT)</strong> Retention time of molecule eluting from column <br> <strong>Lipid Class</strong> Class of lipid(s) identified <br> <strong>Adduct_At_Max_Intensity</strong> Adduct observed for species identified <br> <strong>Fold change (log2)</strong> Fold change of species identified <br> <strong>FDR adjusted P-value</strong> Corrected p-value for lipid species identified <br>
DOI: 10.5281/zenodo.7386956
title: galvanized-636 – A galvanized steel re-identification dataset

description: The dataset "galvanized-636" contains images of 636 sheets of galvanized steel, of which four pictures each were taken per side from different, labeled perspectives, amounting to a total of 5,088 images. This dataset can be used for the purpose of re-identification.<strong> Therefore, if you use this dataset for research, please cite us using the Zenodo DOI.</strong> The recording specifications are the following: Camera: Canon EOS 6D (with ambient lighting: ISO 1600; white balance; 1/50 shutter; F22 aperture. With photography lighting: ISO 1600; 1/30 shutter; F22 aperture) Naming convention: first integer = number of metal sheet (ms); f = front; b = back; AL = ambient lighting; PL = photography lighting; 75/90 = recording angle Images per sheet: Combination of AL/PL + 75°/90° --&gt; 4 images per sheet The predecessors of this dataset are "pallet- block-502" and "pallet-block-32965". If you have any questions concerning these datasets, feel free to contact the corresponding author, Jérôme Rutinowski. This work is part of the project "Silicon Economy Logistics Ecosystem" which is funded by the German Federal Ministry of Transport and Digital Infrastructure.
DOI: 10.5281/zenodo.7406513
title: pseudamia_nigra_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7406512
title: pseudamia_nigra_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6073/pasta/757bc797e296e997abd115eb82e8b75a
title: North Temperate Lakes LTER: Sparkling Lake Invertebrates 1994 - 2010

description: Invertebrate counts from Sparkling Lake and Trout Lake between 1994 and 2010. The invertebrate counts from NTL dendy samples were integrated into the general dataset 'North Temperate Lakes LTER: Benthic Macroinvertebrates 1981 - 2008' and are kept here only for documentation purposes. They should be accessed from the other database as the taxonomic information is consistent with other NTL samples.
DOI: 10.5281/zenodo.6558008
title: Discrete Flow Cytometry of Underway Samples from Gradients 4 (2021) Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. The analysis also includes estimates of cell size, carbon content, and biomass using forward light scatter values and Mie Theory. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.6014650
title: Discrete Flow Cytometry of Underway Samples from Gradients 4 (2021) Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The analysis includes cell abundance, forward light scatter, and pigment fluorescence of individual cells, including picoeukaryotes and the cyanobacteria Prochlorococcus and Synechococcus. The analysis also includes estimates of cell size, carbon content, and biomass using forward light scatter values and Mie Theory. Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.7406535
title: fowleria_aurita_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7406534
title: fowleria_aurita_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21684842
title: CCG.sav

description: Psychomotor parameters Lateral Sway and Steps measured by cranio-corpo-graph for RDD, BAR and NORMS subjects.
DOI: 10.6084/m9.figshare.21684842.v1
title: CCG.sav

description: Psychomotor parameters Lateral Sway and Steps measured by cranio-corpo-graph for RDD, BAR and NORMS subjects.
DOI: 10.6073/pasta/f6b64347b42632764bff68f411bb80e6
title: North Temperate Lakes LTER: Sparkling Lake Macrophytes 2001 - 2010

description: Macrophyte cover in Sparkling Lake sampled in late July from 2001 to 2010 from the waterline to a depth of 4 meters.
DOI: 10.6073/pasta/b96ed13ed42af594de59fa782b9d0a31
title: North Temperate Lakes LTER Northern Highland Lake District Boundary

description: This data set defines the spatial extent of the Northern Highland Lake District (aka Trout Lake Region).
DOI: 10.5281/zenodo.7406478
title: Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation

description: Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation. Code hosted on GitHub/Zenodo.
DOI: 10.5281/zenodo.7406477
title: Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation

description: Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation. Code hosted on GitHub/Zenodo.
DOI: 10.18112/openneuro.ds003020.v1.1.1
title: An fMRI dataset during a passive natural language listening task
DOI: 10.6073/pasta/3e640387ea43da3446f6d9d8902a1e9f
title: North Temperate Lakes LTER: Northern Wisconsin Lake Resident Survey 2005, 2008, 2012

description: The purpose of this survey was to understand what lake characteristics people value most, what activities they enjoy most, and what they expect for the future of northern Wisconsin lakes. Questions covered aspects such as the property search process individuals went through leading up to their purchase of lakeshore property in Vilas County WI, what activities the individual's household participate in on lakes in Vilas County WI, their attitude about the future of their lake, their perception of the current state of their lake, and lake qualities they would like improved on their lake. Demographics of the respondents and background information about their lake were also collected. Two types of surveying methodologies were used for this survey, one being an internet-based survey, while the other was a mail survey. Surveys were conducted in 2005 and repeated in 2008.
DOI: 10.5517/ccdc.csd.cc29ktg5
title: CCDC 2132287: Experimental Crystal Structure Determination

description: Related Article: Wenliang Huang, Hong Wang, Bin Liu, Ruwei Shen, Shugao Zhu|2022|Org.Lett.|24|8651|doi:10.1021/acs.orglett.2c03460
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21994/loar7954
title: Danmark i Minecraft (512960,6123200) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (512960,6123200) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-87040 og z=76800.
DOI: 10.21994/loar8195
title: Danmark i Minecraft (543680,6205120) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (543680,6205120) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-56320 og z=-5120.
DOI: 10.21994/loar8499
title: Danmark i Minecraft (646080,6143680) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (646080,6143680) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=46080 og z=56320.
DOI: 10.21994/loar8168
title: Danmark i Minecraft (584640,6317760) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (584640,6317760) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-15360 og z=-117760.
DOI: 10.21994/loar8135
title: Danmark i Minecraft (451520,6205120) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (451520,6205120) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-148480 og z=-5120.
DOI: 10.21994/loar8227
title: Danmark i Minecraft (574400,6164160) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (574400,6164160) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-25600 og z=35840.
DOI: 10.21994/loar8104
title: Danmark i Minecraft (472000,6164160) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (472000,6164160) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-128000 og z=35840.
DOI: 10.21994/loar8478
title: Danmark i Minecraft (891840,6153920) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (891840,6153920) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=291840 og z=46080.
DOI: 10.21994/loar8532
title: Danmark i Minecraft (533440,6184640) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (533440,6184640) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-66560 og z=15360.
DOI: 10.21994/loar7942
title: Danmark i Minecraft (512960,6297280) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (512960,6297280) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-87040 og z=-97280.
DOI: 10.21994/loar8140
title: Danmark i Minecraft (543680,6246080) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (543680,6246080) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-56320 og z=-46080.
DOI: 10.21994/loar8055
title: Danmark i Minecraft (482240,6276800) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (482240,6276800) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-117760 og z=-76800.
DOI: 10.21994/loar7984
title: Danmark i Minecraft (553920,6215360) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (553920,6215360) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-46080 og z=-15360.
DOI: 10.21994/loar7917
title: Danmark i Minecraft (553920,6256320) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (553920,6256320) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-46080 og z=-56320.
DOI: 10.21994/loar8230
title: Danmark i Minecraft (564160,6246080) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (564160,6246080) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-35840 og z=-46080.
DOI: 10.21994/loar7966
title: Danmark i Minecraft (594880,6256320) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (594880,6256320) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-5120 og z=-56320.
DOI: 10.21994/loar8489
title: Danmark i Minecraft (635840,6092480) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (635840,6092480) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=35840 og z=107520.
DOI: 10.21994/loar8146
title: Danmark i Minecraft (451520,6174400) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (451520,6174400) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-148480 og z=25600.
DOI: 10.21994/loar8283
title: Danmark i Minecraft (605120,6164160) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (605120,6164160) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=5120 og z=35840.
DOI: 10.21994/loar8246
title: Danmark i Minecraft (564160,6389440) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (564160,6389440) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-35840 og z=-189440.
DOI: 10.21994/loar8522
title: Danmark i Minecraft (533440,6215360) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (533440,6215360) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-66560 og z=-15360.
DOI: 10.21994/loar8390
title: Danmark i Minecraft (615360,6225600) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (615360,6225600) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=15360 og z=-25600.
DOI: 10.21994/loar8496
title: Danmark i Minecraft (635840,6153920) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (635840,6153920) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=35840 og z=46080.
DOI: 10.21994/loar8323
title: Danmark i Minecraft (666560,6164160) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (666560,6164160) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=66560 og z=35840.