ADMMR map collection: Calumet & Arizona Co. Oliver Geologic Map Level 1350 Floor 9; 1 in. to 50 feet; 49 x 32 in.

A spatial indicator of ecological status for valuation of biodiversity across the UK, based on species occurrence records for eleven taxonomic groups (Bees, Birds, Bryophytes, Butterflies, Carabidae, Hoverflies, Isopoda, Ladybirds, Moths, Orthoptera and Vascular plants) was developed. UK species occurrence data were collated from the Biological Records Centre (BRC). The mean ecological status was calculated across all taxonomic groups for the 2000 to 2013 time period, relative to the species richness maximums from the 1970-1990 time period. This version supersedes the dataset 'UK ecological status map'.

Survey summary map for the August 31, 2024 South Gillies and Oliver Lake, ON tornadoes. Ground survey conducted September 5-6, 2024. Map includes ground photos, drone photos, tornado centrelines, worst damage points, survey route and drone flight paths. All data are preliminary.

All BPD data on Open Baltimore is preliminary data and subject to change. The information presented through Open Baltimore represents Part I victim based crime data. The data do not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Collection description

None

Subject species

homo sapiens

Modality

fMRI-BOLD

Cognitive paradigm (task)

rest eyes open

Map type

Z

This dataset contains a sample of 10,000 (3.5%) out of a total of 285,846 text sequences extracted from the 1891–1896 Map of London by the Ordnance Survey (OS).

The methodology used for the automated recognition, linking, and sequencing of the text is detailed in the article Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer by M. Zou et al., 2025.

Description of the content

The map is drawn at a scale of five-feet to the mile (c.a. 1:1,056). The text on the map is an invaluable source of information about the Greater London in the late Victorian period. It includes the names of streets, squares, parks, watercourses and even some estates ('Poplars', 'The Grange', 'Arbutus Lodge'). In addition, the map contains many details of the function of buildings and economic activity, such as factories ('Sweet Factory', 'Crown Linoleum Works', 'Imperial Flour Mills', 'Lion Brewery'), warehouses or commercial infrastructure ('Warehouse', 'Jamaica Wharf', 'Rag Store'), offices ('Offices'), etc. The map also mentions public buildings such as schools ('School Boys, Girls & Infants', 'Sunday School'), hospitals or clinics ('St. Saviour's Union Infirmary', 'Beulah Spa Hydropathic Establishment', 'South Western Fever Hospital'), railway stations ('Clapham Station'), post offices, banks, police stations, etc. Other social venues are also mentioned, such as public houses, i.e. pubs ('P.H.'), clubs, casinos, and recreational areas (e.g. 'Cricket Ground'). Special attention is given to churches, with a regular count of the number of seats (e.g. 'Baptist Chapel Seats for 600').

In addition, the map provides details that can be of great interest in the study of everyday life in London at the end of the 19th century. For example, there are numerous mentions of 'Stables', 'Drinking Fountain's or 'Urinal'[s]. Fire protection infrastructure is highlighted, e.g. fire plugs ('F.P.') and fire alarms ('F.A.'). The map also includes information on elevation (e.g. '11·6') and flood levels (e.g. 'High Water Mark of Ordinary Tides').

A list of abbreviations used in the Ordnance Survey maps, created by Richard Oliver [1], is made available by the National Library of Scotland (link).

Organization of the data

The data in 10k_text_london_OS_1890s.geojson is organized as a regular geojson file.

Example structure

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [[[ [x1, y1], [x2, y2], ...]]] }, "properties": { "label": "Oxford Circus", } },

... # Further text sequences            

] }

Image documents

The original map document consists of 729 separate sheets, digitized, georeferenced, and served as geographic tiles by the National Library of Scotland [2].

Descriptive statistics

Total Number of text sequences: 285,846Sample size: 10,000Total Area covered: 450 square km

Use and Citation

For any mention of this dataset, please cite :

@misc{text_london_OS_1890s, author = {Zou, Mengjie and Petitpierre, R{\'{e}}mi and di Lenardo, Isabella}, title = {{London 1890s Ordnance Survey Text Layer}}, year = {2025}, publisher = {Zenodo}, url = {https://doi.org/10.5281/zenodo.14982946}}@article{recognizing_sequencing_2025, author = {Zou, Mengjie and Dai, Tianhao and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella}, title = {{Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer}}, year = {2025}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

Oliver R. (2013). Ordnance Survey maps: A concise guide for historians. The Charles Close Society. London, UK. 3rd Ed. 320 pages

Ordnance Survey, London, five feet to the mile, 1893-1896 (1896), https://maps.nls.uk/os/townplans-england/london-1056-1890s.html, digitized by the National Library of Scotland (NLS)

"The map of Allotments 11, 12, Section 29, Oliver Street & Dytes Parade. Cull. This map is georeferenced by CeRDI using a projective transformation ( linear rotation and translation of coordinates: scale 1:25000). More Information: www.access.prov.vic.gov.au, www.landata.vic.gov.au Author: City of Ballarat Owner: Department of Environment, Land, Water & Planning"

*AB, AF, AM, STS markers based on oat sequence; BA, genomic SNPs based on tetraploid oat; BM, genomic microsatellite based on enriched oat libraries; DS, genomic SNP based on DArT; ES, genic SNP based on EST; Pc, disease resistance phenotypic marker based on crown rust; TLP, microsatellite based on thaumatin-like pathogenesis-related protein.†Markers identified as framework markers on the final maps using MultiPoint.‡O, high oil; Cr, crown rust resistance; Sr, stem rust resistance; H, historic mapping population; DON, Deoxynivalenol (toxin of Fusarium head blight); Tocol, high tocopherol; PCr, partial crown rust resistance; BG, high beta-glucan.

Raster-based air pollution concentration maps for the Netherlands. The dataset consists of air pollution concentration maps for six pollutants (NO2, NO2background, NOx, PM2.5, PM2.5absorbance, PM10), covering the land mass of the Netherlands at 5m spatial resolution. The maps were calculated using the Land Use Regression models from the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. Several Python scripts used for data preparation and the model scripts creating the datasets are included. Use the free 7-Zip to uncompress. Uncompressed size: 78 GiB.

A description of concepts, datasets and scripts is given in the manuscript "High resolution annual average air pollution concentration maps for the Netherlands" by Oliver Schmitz, Rob Beelen, Maciej Strak, Gerard Hoek, Ivan Soenario, Bert Brunekreef, Ilonca Vaartjes, Martin J. Dijst, Diederick E. Grobbee, and Derek Karssenberg. Scientific Data 6:190035 (2019). https://doi.org/10.1038/sdata.2019.35

The datasets are licensed under a Creative Commons license (CC-BY 4.0). The Python scripts are licensed under the MIT License.

Contact: o.schmitz@uu.nl

In the middle of 2001 Roger Kain and Richard Oliver, from the University of Exeter, published a substantial work entitled Historic Parishes of England and Wales: Electronic Map - Gazetteer- Metadata. This was the final product of a project aimed at locating and mapping the boundaries of parish and sub-parish units of the mid-nineteenth century. The authors published the results in a series of electronic maps supplied on CD-ROM. Each one of these 115 maps contain a scanned 1”:1 mile OS New Popular Series map, overlain by the boundaries. A reference number can be found in each of the polygons that can then be used to look up information about that parish in gazetteer in an accompanying book. A major limitation of this work is that although the boundaries are in digital form, they are divided into 115 tiles, none of which have any spatial co-ordinate information inherent in them. This means that although the maps are invaluable as a reference tool, they can not be used together within a GIS to select, analyse and present historic information. We have therefore created a single digital map of the boundaries to provide a single, continuous coverage of polygons, each of which contain the information provided by Kain and Oliver in their accompanying book. This information includes the parish name, Ancient County, and a reference number that coincides with entries for that parish in the 1851 census report. It is recommended that users also order disc 1 of study 4348; Historic Parishes of England and Wales : an Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

"The map of Allotment 9, Section XII, Oliver & Humffray Streets. This map is georeferenced by CeRDI using a projective transformation ( linear rotation and translation of coordinates: scale 1:25000). More Information: www.access.prov.vic.gov.au, www.landata.vic.gov.au Author: City of Ballarat Owner: Department of Environment, Land, Water & Planning"

Positive emotions vs neutral emotions

Collection description

None

Subject species

homo sapiens

Modality

fMRI-BOLD

Cognitive paradigm (task)

Emotion Recognition Task

Map type

T

NOTES: 1 of 9 maps, see Nevada Items 153-160; isostatic gravity anomaly; contour interval = 5 mgal; parameters: T=25 km; delta gamma=0.4 km; color; date uncertain but probably about 1980; scale: 1:250,000; correspondence; UTMs from center of 1x2-degree q

Parameters of the SSS used in this paper.

Slant correction.

Earthquake focal mechanisms and stress inversion results for the conterminous United States.

Original provider: Marine Conservation Research

Dataset credits: Oliver Boisseau, Marine Conservation Research International

Abstract: The dataset contains all sightings of cetaceans and other megafuana made during the MAPS spring cruise in Apr/May 2019 (NMFS permit 14809). When conductiong visual effort, two observers were situated either side of R/V Song of the Whale on an observation platform with an approximate eye-height of 5.5 m above sea-level during daylight hours. The observers scanned the trackline and in front of the vessel using naked eye; 7 x 50 binoculars were used to identify species and estimate group size. During periods of bad weather, observers were stationed on deck with an approximate eye-height of 3.5 m above sea-level.

Purpose: The MAPS (Marine Mammal Passive Acoustics and Spatial Ecology) cruises form part of a BOEM project to describe the distribution and behaviour of deep-diving cetaceans in the offshore waters of North Carolina (NMFS permit 14809). MAPS is a cooperative agreement between the Bureau of Ocean Energy Management and the University of North Carolina Wilmington in partnership with Duke University.

Supplemental information: Environmental attributes were recorded less frequently than the GPS data and not all GPS records get environmental attributes attached.

A spatial indicator of ecological status for valuation of biodiversity across the UK, based on species occurrence records was developed. UK species occurrence data were collated from the Biological Records Centre (BRC). The mean ecological status was calculated across all taxonomic groups for the 2000 to 2013 time period, relative to the species richness maximums from the 1970-1990 time period, showing differences as colours.

All available bathymetry and related information for Oliver Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.