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NI Water's AIR to NIAUR- (HISTORICAL COST) STATEMENT OF TOTAL RECOGNISED GAINS AND LOSSES

NI Water's Annual Information Return submission to NIAUR regarding ANNUAL INFORMATION RETURN - REGULATORY ACCOUNTS (HISTORICAL COST ACCOUNTING) STATEMENT OF TOTAL RECOGNISED GAINS AND LOSSES

Modelled annual average production loss due to ozone damage for four global staple crops 2010-2012

Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa),...

Modelled annual average production loss due to ozone damage for four global staple crops 2010-2012

Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa),...

Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012)

[THIS DATASET HAS BEEN WITHDRAWN]. Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice...

NI Water's 2017 AIR to NIAUR- (HISTORICAL COST)- PROFIT AND LOSS FOR YEAR ENDING 31 MARCH

NI Water's 2017 Annual Information Return submission to NIAUR regarding REGULATORY ACCOUNTS (HISTORICAL COST ACCOUNT)- PROFIT AND LOSS ACCOUNT FOR YEAR ENDING 31 MARCH

NI Water's 2017 AIR to NIAUR- (CURRENT COST)- PROFIT AND LOSS FOR YEAR ENDING 31 MARCH

NI Water's 2017 Annual Information Return submission to NIAUR regarding REGULATORY ACCOUNTS (CURRENT COST ACCOUNTING)- PROFIT AND LOSS ACCOUNT FOR YEAR ENDING 31 MARCH

Featured Prospects (33rd Round)

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Featured Prospects (33rd Round)

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Featured Prospects (33rd Round)

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Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2

Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine...

Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2

Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine...

UK Shale Prospective Areas (BGS, NTS)

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Shale Prospective Areas BNG (BGS, NSTA)

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UK Shale Prospective Areas (BGS, NTSA)

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Scottish Carbon Capture & Storage (SCCS) Working Paper 2009-04: Investigating the prospects for Carbon Capture and Storage technology in India

Technical report (2009) commissioned by Christian Aid and written by researchers from the University of Edinburgh and the University of Surrey. It aims to explore the prospects for carbon capture...

Prospective Investigation of Pesticide Application Health (PIPAH)

Used for inputting, retention, retrieval and analysis of medical and other data collected on workers exposed to pesticides. Number of records in dataset – 3000. Contains sensitive medical in...

Shale Prospective Areas WGS84 (BGS, NSTA)

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Annual Forest Loss at 15m resolution in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2006-2014

The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of...

Seedlings leaf loss by herbivory in a fertilized forest in Central Amazonia (2019 - 2020)

Data are presented showing for individual seedling, herbivory damage at the leaf level; galls, pathogens, trail herbivory presence/absence qualitative data; and leaf mortality. Data were collected...

Ground control points for investigating mass loss processes on Khumbu Glacier, Nepal (NERC grant NE/L002574/1)

These data consist of a spreadsheet containing 557 ground control points (GCPs) collected in the Everest region of Nepal between October 2015 and October 2016. GCPs were collected using a Leica...