Remote sensor imagery collected over an area of around 1 square km in Dublin city in 2007


Three datasets of images of approximately 1 square km of land area in Dublin City in 2007. Images were captured through use of the Fugro FLI-MAP family of LiDAR systems which capture LiDAR and still camera imagery simultaneously during a fly-over survey. Each dataset includes “forward” and “mapping” imagery comprising complementary data files in ECW and SDIA formats.

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Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007 (see satellite image). A total of ~225 million points were acquired for a dense urban neighbourhood. ALS was carried out by contractors using FLI-MAP 2 system. The system operated at a scan angle of 60 degrees, with an angular spacing of 60/1000 degrees between pulses. The FLI-MAP 2 system also provides spectral data in two different forms: (i) intensity and (ii) colour. An intensity value is provided for each point while colour information is provided by cameras acquiring images during the flyover and is transferred to scan points. The flying altitude varied between ~380-480m, with an average value of ~400m. Total 44 flight strips were acquired and 2823 flight path points were recorded, providing instantaneous aircraft position over time.

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HIBERNIA: Historic Ireland's Build Environment and Road Network Inventory Access


Data recovered from the project "Historic Ireland's Build Environment and Road Network Inventory Access" (HIBERNIA), which had been a web enablement of two earlier inventories: the Dublin Environmental Inventory (DEI) and the Dublin Docklands area master plan inventory (DDAMP) (both undertaken by the School of Architecture, Landscape and Civil Engineering, University College Dublin). The combined inventories include historical, geographical, and architectural information collected from 1993 to 1995 for 1,280 of Dublin's buildings.

mixed material

Ancient World Mapping Center : Map files


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

cartographic

Urban Modelling Group (UMG)


The Urban Modelling Group (UMG) is based in the UCD School of Civil, Structural and Environmental Engineering at University College Dublin. Professor Debra F Laefer heads this group and it formed in 2006 to bridge the efforts of the architectural heritage community and those of practising engineers by introducing, adapting, and generating new technologies to help safeguard built urban heritage.

software

Insight Centre for Data Analytics


INSIGHT Centre for Data Analytics creates a healthier, safer, more productive world by empowering a data-driven society to enable better decisions by individuals, communities, business and governments. Insight brings together leading Irish academics from 5 of Ireland's leading research centres (DERI, CLARITY, CLIQUE, 4C, TRIL), previously established by Science Foundation Ireland (SFI) and the Irish Industrial Development Authority (IDA), in key areas of priority research including: The Semantic Web, Sensors and the Sensor Web, Social network analysis, Decision Support and Optimization, and Connected Health.

software

Dataset comprising photographic documentation of 444 buildings in Dublin, Ireland


Photographic data regarding 444 builings in Dublin, Ireland, comprising primarily multi-layer images in Adobe PhotoShop (PSD) format. The majority of images consist of one or more photographic images that have been manpulated to create a single ortorectified image of a structure; a structure may be represented by more than one PSD file, such that 516 images in total are included in the dataset.

still image

Dataset describing attributes and condition of 449 buildings in Dublin, Ireland, compiled in 2013.


Data regarding 449 builings in Dublin, Ireland, comprising tables of building characteristics and attributes and an assessment of building status by a range of criteria.

software

Port Oriel Harbour, County Louth (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Port Oriel Harbour, County Louth, from its earliest structure to its current form.

still image

Bullock Harbour, County Dublin (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Bullock Harbour, County Dublin, from its earliest structure to its current form.

still image

Balbriggan Harbour, County Fingal (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Balbriggan Harbour, County Fingal, from its earliest structure to its current form.

still image

Fethard Harbour, County Wexford (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Fethard Harbour, County Wexford, from its earliest structure to its current form.

still image

Slade Harbour, County Wexford (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Slade Harbour, County Wexford, from its earliest structure to its current form.

still image

Boatstrand Harbour, County Waterford (Minor Harbours of Ireland)


This collection contains files which describe the construction and evolution of Boat Strand Harbour, County Waterford, from its earliest structure to its current form.

still image

Remote sensor imagery collected over an area of around 1 square km in Dublin city in 2007: ECW images and SDIA attribute files of survey area in Zip-compressed format


Datasets of images of approximately 1 square km of land area in Dublin City in 2007. Images were captured through use of the Fugro FLI-MAP family of LiDAR systems which capture LiDAR and still camera imagery simultaneously during a fly-over survey. The dataset includes “forward” and “mapping” imagery comprising complementary data files in ECW and SDIA formats.

cartographic

IIIF drag and drop link

Remote sensor imagery collected over an area of around 1 square km in Dublin city in 2007: ECW images and SDIA attribute files of survey area in Zip-compressed format


Datasets of images of approximately 1 square km of land area in Dublin City in 2007. Images were captured through use of the Fugro FLI-MAP family of LiDAR systems which capture LiDAR and still camera imagery simultaneously during a fly-over survey. The dataset includes “forward” and “mapping” imagery comprising complementary data files in ECW and SDIA formats.

cartographic

IIIF drag and drop link

Remote sensor imagery collected over an area of around 1 square km in Dublin city in 2007: ECW images and SDIA attribute files of survey area in Zip-compressed format


Datasets of images of approximately 1 square km of land area in Dublin City in 2007. Images were captured through use of the Fugro FLI-MAP family of LiDAR systems which capture LiDAR and still camera imagery simultaneously during a fly-over survey. The dataset includes “forward” and “mapping” imagery comprising complementary data files in ECW and SDIA formats.

cartographic

IIIF drag and drop link

Open Water (Following the Barrington Atlas)


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

cartographic

IIIF drag and drop link

Coastline


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

cartographic

IIIF drag and drop link

Aqueducts


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

cartographic

IIIF drag and drop link

Inland Water (Following the Barrington Atlas)


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

cartographic

IIIF drag and drop link

Roads


Shapefiles in compressed archive (zip) format representing ancient world geographic features, captured from the Ancient World Mapping Center (http://awmc.unc.edu/).

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IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_234500.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_234500.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316500_234000.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316500_234000.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315000_234000.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315000_234000.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 3 spreadsheets of path data for survey area


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 3 spreadsheets of path data for survey area

cartographic

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Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: map of survey area


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: map of survey area

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: GeoTIFF image of survey area


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: GeoTIFF image of survey area

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_233500.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_233500.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315500_234000.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315500_234000.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315000_234500.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315000_234500.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_234000.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316000_234000.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315500_234500.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 315500_234500.las

cartographic

IIIF drag and drop link

Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316500_234500.las


Aerial laser scanning (ALS) data collected over an area of around 1 square km in Dublin city in 2007: 316500_234500.las

cartographic

IIIF drag and drop link

MovieLists Dataset


User content curation is becoming an important source of preference data, as well as providing information regarding the items being curated. One popular approach involves the creation of lists. On Twitter, these lists might contain user accounts relevant to a particular topic, whereas on a community site such as the Internet Movie Database (IMDb), this might take the form of lists of sharing common characteristics. While list curation implicitly involves substantial combined effort on the part of users, researchers have rarely looked at mining the outputs of this kind of crowdsourcing activity. Here we study a large collection of movie lists from IMDb. We apply network analysis methods to a graph that reflects the degree to which pairs of movies are "co-listed", that is, assigned to the same lists. This allows us to uncover a more nuanced categorisation of movies that goes beyond simple metadata, such as genre or era.

software

IIIF drag and drop link

Dynamic Community Finding: Benchmark data & software


Real-world social networks from a variety of domains can naturally be modeled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Therefore, researchers have begun to consider the problem of tracking the evolution of groups of users in dynamic scenarios. Here we describe a model for tracking communities which persist over time in dynamic networks, where each community is characterized by a series of significant evolutionary events. This model is used to motivate a scalable community-tracking strategy for efficiently identifying dynamic communities.

software

IIIF drag and drop link