Download the NRW database Official base map as an atomic feed. The official base card (ABK) covers the card scale 1: 5,000 as a topographic basic map. The ABK represents the interface between the property-oriented property map and the topographical maps and is derived exclusively from the information of the Property Register (ALKIS). The ABK is derived from a color signature according to the signature catalogue. Status of the data used: 01.01.2022.

Download the NRW dataset Regional Map 1:150.000 (RK150) as an atomic feed. The regional map 1:150,000 is an overview map on a scale of 1:150,000. The map work consists of five map sheets, each representing one of the administrative districts of the state of North Rhine-Westphalia.

These data are maps of fast neutron residual count rates from the GRaND plus Z boron loaded sensor. The nominal fast neutron count rates were detrended using the GRaND epithermal neutron map to produced this residual map. The residual map is related to the average atomic mass on Vesta. Details of the map and data reduction are described in LAWRENCEETAL2013B.

Download the NRW data base Digital topographic map 1:50 000 (DTK50) as atomic feed.

Geochemical and mineralogical maps along with a histogram, boxplot, and empirical cumulative distribution function plot for each element or mineral whose data are provided in DS-801

Download the NRW data base Digital topographic map 1:25 000 (DTK25) as atomic feed.

Verify the atomic gradiometer technology through
a) Achieving beyond state-of-the art performance
with terrestrial instrument
b) Testing space operation mode in laboratory
simulated microgravity
c) Conducting error budget analysis for an atomic
gradiometer measurement in space
d) Development of this technology will enable highspatial
resolution measurements of time-varying
gravity from an atomic gradiometer on a singlesatellite
platform

The Mid-Century Map (World Edition) web map provides a customized world basemap symbolized with a unique "Mid-Century" style. It takes its inspiration from the art and advertising of the 1950's with unique fonts. The symbols for cities and capitals have an atomic slant to them. The map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries.This basemap, included in the ArcGIS Living Atlas of the World, uses the Mid-Century vector tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer referenced in this map.

Electronic navigation maps for inland waterways are produced and issued in Germany by the Federal Waterways and Shipping Administration (WSV) and made available free of charge. The issued Inland ENCs are revised at regular intervals. The records can be downloaded here: https://www.elwis.de/DE/Service/Inland-ENC-der-WSV/Inland-ENC-der-WSV-node.html

Download the NRW data base Digital topographic map 1:100 000 (DTK100) as atomic feed.

Analysis of ‘Atomic Polygons’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fa8fb731-e1e8-4e39-93ac-f45c6d0d3bed on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Atomic polygons serve as a set of basic building blocks for generating the polygons of many of the district types represented in the CSCL database. Feature classes such as election district, school district, census block, FDNY administrative company, and community district can be dissolved by combining the appropriate fields in atomic polygons.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

--- Original source retains full ownership of the source dataset ---

Atomic polygons serve as a set of basic building blocks for generating the polygons of many of the district types represented in the CSCL database. Feature classes such as election district, school district, census block, FDNY administrative company, and community district can be dissolved by combining the appropriate fields in atomic polygons.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Digital topographic map 1:50 000 black and white (DTK50sw) as an atomic feed, in single tiles.

Abstract: Amorphous materials, e.g., polymers, metallic and oxidic glasses, consist of heterogeneous atomic/molecular packing at the nanoscale. Spatial variation of the local structure plays an important role in determining material properties. Experimentally probing the local atomic structure within the amorphous phase has been one of the main challenges for material research. Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four dimensional-scanning transmission electron microscopy (4D-STEM). We utilized nonnegative matrix factorization (NMF) to identify the local structural types of metallic glasses from the 4D-STEM dataset. Using Fe-based metallic glasses as a model system, we demonstrate that two basic structural types, one with a more liquid-like and another with a more solid-like structure, are distributed throughout the glass with a characteristic length scale of a few nanometers. Thermal annealing induces a change in their distribution and relative population but without the appearance of any additional phase. This provides new insight into the relaxation phenomena of metallic glass and solid experimental evidence for the theoretical hypothesis on atomic packing in glassy structures. TechnicalRemarks: Raw data for the publication "Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM"

Atomic models described in the main text of the ModelAngelo paper by Jamali et al. in Nature (2024) and built by ModelAngelo.

The overview map NRW 1:250 000 (NRW250UEK) is a physical overview map in scale 1: 250 000. The map shows the natural structure and the relief for the state territory of North Rhine-Westphalia.

Amorphous materials, e.g., polymers, metallic and oxidic glasses, consist of heterogeneous atomic/molecular packing at the nanoscale. Spatial variation of the local structure plays an important role in determining material properties. Experimentally probing the local atomic structure within the amorphous phase has been one of the main challenges for material research. Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four dimensional-scanning transmission electron microscopy (4D-STEM). We utilized nonnegative matrix factorization (NMF) to identify the local structural types of metallic glasses from the 4D-STEM dataset. Using Fe-based metallic glasses as a model system, we demonstrate that two basic structural types, one with a more liquid-like and another with a more solid-like structure, are distributed throughout the glass with a characteristic length scale of a few nanometers. Thermal annealing induces a change in their distribution and relative population but without the appearance of any additional phase. This provides new insight into the relaxation phenomena of metallic glass and solid experimental evidence for the theoretical hypothesis on atomic packing in glassy structures. Raw data for the publication "Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM"

Significant technological developments and increasing scientific interest in cryogenic electron microscopy (cryo-EM) has resulted in a rapid increase in the amount of data generated by these experiments and the derived atomic models. Robust measures for the validation of 3D reconstructions and atomic models are essential for appropriate interpretation of the data. The resolution of data and availability of software tools that work across a range of resolutions often limit the quality of derived models. Hence, the final atomic model is often incomplete or contains regions where atomic positions are less reliable or incorrectly built. Extensive manual pruning and local adjustments or rebuilding are usually required to address these issues. The presented research introduces a software tool for the validation of the backbone trace of atomic models built in the cryo-EM density maps. In this study, we use the false discovery rate analysis, which can be used to segregate molecular signals from the background. Each atomic position in the model can be associated with an FDR backbone validation score, which can be used to identify potential mistraced residues. We demonstrate that the proposed validation score is complementary to existing validation metrics and is useful especially in cases where the model is built in the maps having varying local resolution. We also discuss the application of the score for automated pruning of atomic models built ab-initio during the iterative model building process in Buccaneer. We have implemented this score in the CCP-EM software suite.

This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky ("Galaxy") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected. They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1.

Additional file 2. Raw results of all-atom location comparison. Description: This table contains the raw results of the experiment comparing the locations of all atoms with the nodes of the density graphs created from atomic resolution cryo-EM maps.