cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/pddrps/r8jprt
title: Luglio_1937_Pagina_210.jpg

description: Bulletin of 1937/07/21
DOI: 10.13130/rd_unimi/pddrps/wubcee
title: Luglio_1937_Pagina_211.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/4srwe1
title: Luglio_1937_Pagina_212.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/gm3gy6
title: Luglio_1937_Pagina_213.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/pjqu3k
title: Luglio_1937_Pagina_214.jpg

description: Bulletin of 1937/07/22
DOI: 10.5286/ukerc.edc.000993
title: Future spatiotemporal residential cooling demand of GB

description: The increasing need for residential cooling in Great Britain due to rising temperatures could pose significant challenges to the electricity infrastructure. This study estimates the spatiotemporal cooling demand for residential buildings in Great Britain in 2050. A bottom-up methodology using a lumped parameter dynamic thermal model of building was applied to estimate half-hourly cooling demand and the electricity consumptions of cooling devices for representative dwelling archetypes in 41,726 local areas. The upper estimate for annual and peak electricity consumptions for cooling technologies have been estimated to be 9.3 TWh and 62.6 GW, respectively. The study highlights regional demand variations, correlations between the electricity consumption of cooling technologies and electricity generation by distributed photovoltaics, and the moderating effect of higher dwelling thermal capacities on cooling peak demand. These insights highlight the need for electricity infrastructure reinforcement, and integrated strategies for buildings retrofit and renewable energy to ensure system resilience. This is the data behind this study.
DOI: 10.13130/rd_unimi/pddrps/rjza5s
title: Luglio_1937_Pagina_215.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/rkv5qz
title: Luglio_1937_Pagina_216.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/fdqyqh
title: Luglio_1937_Pagina_217.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/sf2dps
title: Luglio_1937_Pagina_218.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/syoelt
title: Luglio_1937_Pagina_219.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/k7c33n
title: Luglio_1937_Pagina_220.jpg

description: Bulletin of 1937/07/22
DOI: 10.13130/rd_unimi/pddrps/xjj37p
title: Luglio_1937_Pagina_221.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/xa6idm
title: Luglio_1937_Pagina_222.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/gclzde
title: Luglio_1937_Pagina_223.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/kplji8
title: Luglio_1937_Pagina_224.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/jfohwh
title: Luglio_1937_Pagina_225.jpg

description: Bulletin of 1937/07/23
DOI: 10.15468/dl.ja8ybb
title: Occurrence Download

description: A dataset containing 258714628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2023-2025"
 ]
}

 The dataset includes 258714628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053609-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/pddrps/bve1g8
title: Luglio_1937_Pagina_227.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/gnqpja
title: Luglio_1937_Pagina_226.jpg

description: Bulletin of 1937/07/23
DOI: 10.5286/ukerc.edc.000978
title: Brexit, Energy, and Climate Change - Survey Results -2021

description: A survey was undertaken with UK energy and climate change stakeholders involved in and/or effected by Brexit - it was undertaken as part of the UK Energy Research Centre (UKRC) funded project on 'Brexit and UK Net Zero Energy Policy'. The survey was designed to ascertain views on the implications of Brexit for energy and climate change policy and politics, and to build knowledge about actual effects in practice. There were 83 respondents - from UK government (Westminster and devolved), business (mainly energy industry and finance), think tanks and non-governmental organisations (NGOs), academics researching Brexit, and representatives of EU countries.
DOI: 10.13130/rd_unimi/pddrps/nxsppo
title: Luglio_1937_Pagina_228.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/hw3fhm
title: Luglio_1937_Pagina_229.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/dpoxvk
title: Luglio_1937_Pagina_230.jpg

description: Bulletin of 1937/07/23
DOI: 10.13130/rd_unimi/pddrps/jtswbg
title: Luglio_1937_Pagina_231.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/8eacyz
title: Luglio_1937_Pagina_232.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/fk8p58
title: Luglio_1937_Pagina_233.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/xhrgvg
title: Luglio_1937_Pagina_234.jpg

description: Bulletin of 1937/07/24
DOI: 10.5286/ukerc.edc.000968
title: Heat supply potential data from boreholes

description: Using heat demand data for domestic buildings sourced from the UKERC Energy Data Centre's "Spatio-temporal heat demand for LSOAs in England and Wales", we have identified Lower Layer Super Output Areas (LSOAs) exhibiting a linear heat density surpassing 2900 kWh/m indicating their potential suitability for a heat network. We have integrated borehole information from the British Geological Survey (BGS) Single Onshore Borehole Index (SOBI), the average thermal conductivity of general soils and rocks, SAP 10.2 annual average temperature on the ground surface, and the average geothermal gradient for council areas in Great Britain. Employing the specific heat extraction rate methodology, and referencing MCS 022 Borehole Heat Exchanger look-up tables, we have generated comprehensive heat supply potential data from boreholes.
DOI: 10.13130/rd_unimi/pddrps/08vtqi
title: Luglio_1937_Pagina_235.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/nfibeh
title: Luglio_1937_Pagina_236.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/slozwk
title: Luglio_1937_Pagina_237.jpg

description: Bulletin of 1937/07/24
DOI: 10.5286/ukerc.edc.000963
title: Quantification of inherent flexibility from electrified residential heat sector in England and Wales

description: The datasets available for download include:1. The thermal characteristics for 16 dwelling categories for all the LSOAs in England and Wales before and after considering energy efficiency measures.2. The magnitude and duration of positive and negative flexibility services that can be provided by air source heat pumps in dwellings at local authority level. Dates refer to the input data to the model.
DOI: 10.5286/ukerc.edc.000964
title: UKERC Modelling of Low Carbon Transition Risk

description: This dataset relates to the modelling component of the UKERC Phase 4 Project '4.2a Investment in infrastructure'. The aim is to assess the scale of investment risks in the electricity generation sector associated with uncertainty over the pathway towards net zero. The model comprises three components:1. Input data. Based in Excel, contains the scenario assumptions on the electricity system including generation technologies, wind and solar power availability, demand profiles, interconnector and storage capacities etc.2. Modelling files based on the open-source Antares modelling framework. This requires additional free software to be able to run the model. The model calculates the hourly dispatch of all types of plant included in the system.3. Excel-based financial model, based on post-processing the output of the Antares model.Additional 1_Metadata.xls, Input_ReadMe and Outputs_ReadMe files explain the method for running each step of the modelling process.
DOI: 10.13130/rd_unimi/pddrps/pbnvi3
title: Luglio_1937_Pagina_238.jpg

description: Bulletin of 1937/07/24
DOI: 10.5286/ukerc.edc.000961
title: Database of evidence for the impact of Offshore Wind Farms on Marine Ecosystem Services

description: This is an evidence base of available literature on the impacts of offshore wind farm (OWF) developments and the outcomes for marine ecosystem services. The evidence was collated through a systematic search of global primary literature (also known as peer-reviewed or published literature) and UK grey literature regarding the impacts of OWF developments (the scope for including global grey literature was unfeasible). Grey literature refers to multiple types of report or document, and is defined as: "information produced on all levels of government, academia, business and industry in electronic and print formats not controlled by commercial publishing" i.e. where publishing is not the primary activity of the producing bodyÂ (ICGL, 1997). Data was extracted from each evidence source, for each subject or marine ecosystem component that was impacted by the OWF development, the phase of development, the specific pressure and other relevant information about the wind farm or location. Expert judgement was used to map each piece of evidence for impacts on the marine environment according to CICES (Common International Classification of Ecosystem Services) or MEA (Millenium Ecosystem Assessment) and other published classification systems for ecosystem services (Ryfield et al., 2019; Hooper et al., 2020).
DOI: 10.13130/rd_unimi/pddrps/hdfqgn
title: Luglio_1937_Pagina_240.jpg

description: Bulletin of 1937/07/24
DOI: 10.13130/rd_unimi/pddrps/l3auyx
title: Luglio_1937_Pagina_239.jpg

description: Bulletin of 1937/07/24
DOI: 10.5286/ukerc.edc.000960
title: Residential heat demand in LSOAs in Scotland

description: Annual residential heat demand data for Scotland at Lower Layer Super Output Area (LSOA) level, before and after energy efficiency measures
DOI: 10.13130/rd_unimi/pddrps/eyca5x
title: Luglio_1937_Pagina_241.jpg

description: Bulletin of 1937/07/25
DOI: 10.5286/ukerc.edc.000958
title: Emissions from NAEI large point sources - UK manufacturing sector

description: This file provides a harmonised data for the UK main manufacturing industry based on the NAEI 2020 data https://naei.beis.gov.uk/data/map-large-source, which can be used for analysis and modelling.Since the original NAEI data include sites that do not fall within the definition of manufacturing industry, we created this harmonised data for ease of use. We classified the sectors into: Iron and steel, Chemicals, Cement, Food and drink, Paper, Refining, Lime, Glass, Ceramics, Other minerals, and Other industry. We also converted the 'Easting' and 'Northing' to 'Latitude' and 'Longitude'.
DOI: 10.13130/rd_unimi/pddrps/1ycyme
title: Luglio_1937_Pagina_242.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/ohosvs
title: Luglio_1937_Pagina_243.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/0sudze
title: Luglio_1937_Pagina_244.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/3yg7dc
title: Luglio_1937_Pagina_245.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/qkq6s1
title: Luglio_1937_Pagina_246.jpg

description: Bulletin of 1937/07/25
DOI: 10.15468/dl.mvbyux
title: Occurrence Download

description: A dataset containing 1806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Grewia villosa"
 ]
}

 The dataset includes 1806 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053652-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/pddrps/zdtta3
title: Luglio_1937_Pagina_247.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/b016kb
title: Luglio_1937_Pagina_248.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/thegi8
title: Luglio_1937_Pagina_249.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/bhoceh
title: Luglio_1937_Pagina_250.jpg

description: Bulletin of 1937/07/25
DOI: 10.13130/rd_unimi/pddrps/uejpub
title: Luglio_1937_Pagina_251.jpg

description: Bulletin of 1937/07/26
DOI: 10.5286/ukerc.edc.000944
title: Spatio-temporal heat demand for LSOAs in England and Wales

description: Annual heat demand data for England and Wales at Lower Layer Super Output Area (LSOA) level, before and after energy efficiency measures. Normalised half-hourly profiles for heat production and energy consumption of different heating technologies. Costs for energy efficiency measures by local authority.
DOI: 10.13130/rd_unimi/pddrps/hiudba
title: Luglio_1937_Pagina_252.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/3hjlw7
title: Luglio_1937_Pagina_253.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/cetyef
title: Luglio_1937_Pagina_254.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/zsbjeg
title: Luglio_1937_Pagina_255.jpg

description: Bulletin of 1937/07/26
DOI: 10.5286/ukerc.edc.000938
title: UK Energy Systems Model (ESME): Clockwork and Patchwork Results Charts

description: This file includes summary results from the ESME model runs which correspond to Clockwork and Patchwork, the two scenarios described in the Options Choices Actions booklet. A standard set of core charts exported from the ESME model showing energy flows and technology deployment in each major sector. Below each chart a table shows the corresponding numerical data.<br><br>This publication has been produced as part of the work on the ETI’s internationally peer reviewed energy system modelling environment (ESME) - a national energy system design and planning capability that helps to identify key areas for ETI investments. ESME is also used by UK Government to underpin and inform energy policy.
DOI: 10.13130/rd_unimi/pddrps/bkzjuh
title: Luglio_1937_Pagina_256.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/1d7woc
title: Luglio_1937_Pagina_257.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/mlizjo
title: Luglio_1937_Pagina_259.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/sic4zz
title: Luglio_1937_Pagina_258.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/hiilyl
title: Luglio_1937_Pagina_260.jpg

description: Bulletin of 1937/07/26
DOI: 10.13130/rd_unimi/pddrps/gthzdm
title: Luglio_1937_Pagina_261.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/4fnimq
title: Luglio_1937_Pagina_262.jpg

description: Bulletin of 1937/07/27
DOI: 10.5286/ukerc.edc.000929
title: Consumers, Vehicles and Energy Integration (CVEI) - D3.2. Battery State of Health Model (Excel model)

description: The objective of the Consumers, Vehicles and Energy Integration project is to inform UK Government and European policy and to help shape energy and automotive industry products, propositions and investment strategies. Additionally, it aims to develop an integrated set of analytical tools that models future market scenarios in order to test the impact of future policy, industry and societal choices.The project is made up of two stages:Stage 1 aims to characterize market and policy frameworks, business propositions, and the integrated vehicle and energy infrastructure system and technologies best suited to enabling a cost-effective UK energy system for low-carbon vehicles, using the amalgamated analytical toolset. Stage 2 aims to fill knowledge gaps and validate assumptions from Stage 1 through scientifically robust research, including real world trials with privatevehicle consumers and case studies with business fleets. A mainstream consumer uptake trial will be carried out to measure attitudes to PiVs after direct experience of them, and consumer charging trials will measure mainstream consumer PiV charging behaviours and responses to managed harging optionsThis spreadsheet is part of Deliverable D3.2, Battery State of Health Model, and accompanies the report on the development and validation of an algorithm that quantifies battery ageing based on input parameters that can be either inferred from Electric Vehicle (EV) usage or measured on-board. It contains the Battery State of Health Model, which provides a relatively high-level overview of battery degradation and state of health, which will be further developed during Stage 2 of the project
DOI: 10.13130/rd_unimi/pddrps/ak51wg
title: Luglio_1937_Pagina_264.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/la8qcc
title: Luglio_1937_Pagina_263.jpg

description: Bulletin of 1937/07/27
DOI: 10.5286/ukerc.edc.000927
title: Consumers, Vehicles and Energy Integration Project - D3.1. Battery Cost and Performance and Battery Management System Capability Report and Battery Database (Excel model)

description: The objective of the Consumers, Vehicles and Energy Integration project is to inform UK Government and European policy and to help shape energy and automotive industry products, propositions and investment strategies. Additionally, it aims to develop an integrated set of analytical tools that models future market scenarios in order to test the impact of future policy, industry and societal choices.The project is made up of two stages:Stage 1 aims to characterize market and policy frameworks, business propositions, and the integrated vehicle and energy infrastructure system and technologies best suited to enabling a cost-effective UK energy system for low-carbon vehicles, using the amalgamated analytical toolset. Stage 2 aims to fill knowledge gaps and validate assumptions from Stage 1 through scientifically robust research, including real world trials with privatevehicle consumers and case studies with business fleets. A mainstream consumer uptake trial will be carried out to measure attitudes to PiVs after direct experience of them, and consumer charging trials will measure mainstream consumer PiV charging behaviours and responses to managed harging optionsThis spreadsheet accomanies the report that represents Deliverable D3.1, Battery Cost and Performance and Battery Management System Capability Report and Battery Database.The purpose of this report is capture the approach proposed to develop cost and performance projections for automotive batteries to 2050. <br><br>This spreadsheet contains the Battery Cost and Performance Database.
DOI: 10.13130/rd_unimi/pddrps/zaxxtj
title: Luglio_1937_Pagina_265.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/sjfhui
title: Luglio_1937_Pagina_266.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/xndtgt
title: Luglio_1937_Pagina_267.jpg

description: Bulletin of 1937/07/27
DOI: 10.7266/nvpw1y6n
title: Pointe-au-Chien area Living Shorelines Suitability Modeling (LSSM)
DOI: 10.13130/rd_unimi/pddrps/8qqfzu
title: Luglio_1937_Pagina_268.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/l5aqdp
title: Luglio_1937_Pagina_269.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/wvufcv
title: Luglio_1937_Pagina_270.jpg

description: Bulletin of 1937/07/27
DOI: 10.13130/rd_unimi/pddrps/lhuuik
title: Luglio_1937_Pagina_271.jpg

description: Bulletin of 1937/07/28
DOI: 10.13130/rd_unimi/pddrps/unyprx
title: Luglio_1937_Pagina_272.jpg

description: Bulletin of 1937/07/28
DOI: 10.5286/ukerc.edc.000917
title: Consumers, Vehicles and Energy Integration (CVEI): D4.1. Initial Analysis of Technology, Commercial and Market Building Blocks for Energy Infrastructure (Excel model)

description: The objective of the Consumers, Vehicles and Energy Integration project is to inform UK Government and European policy and to help shape energy and automotive industry products, propositions and investment strategies. Additionally, it aims to develop an integrated set of analytical tools that models future market scenarios in order to test the impact of future policy, industry and societal choices.The project is made up of two stages:Stage 1 aims to characterize market and policy frameworks, business propositions, and the integrated vehicle and energy infrastructure system and technologies best suited to enabling a cost-effective UK energy system for low-carbon vehicles, using the amalgamated analytical toolset.Stage 2 aims to fill knowledge gaps and validate assumptions from Stage 1 through scientifically robust research, including real world trials with private vehicle consumers and case studies with business fleets. A mainstream consumer uptake trial will be carried out to measure attitudes to PiVs after direct experience of them, and consumer charging trials will measure mainstream consumer PiV charging behaviours and responses to managed harging options.The first project deliverable, report D1.1 “Summary of Approach, Conceptual Design and Key Research Questions”, sets out the analytical approach being taken to the identification and assessment of system options and the tool set being used. <br>This second project deliverable, report D4.1 “Initial Analysis of Technology, Commercial and Market Building Blocks of Energy Infrastructure”, sets out the detailed components of the framework. D4.1 comprises a report and spreadsheet. <br>The two deliverables should be read in conjunction with each other. <br>It should be noted that both of these reports were written for the purpose of facilitating agreement regarding the details of the approach and consequently they are quite complex. Other reports later in the project will present the information in a more accessible manner for people not closely involved with the work; those later reports are commended to the general reader as a more suitable starting point. Nevertheless, D1.1 and D4.1 are made available for completeness.<br><br>This spreadsheet defines the Building Blocks for each Dimension: Customer Proposition (CP), Physical Supply Chain (PSC), Market and Policy Framework (MPF) and Commercial Value Chain (CVC).The sheet include both a summary and detailed analysis. It should be read in conjunction with the main report deliverable CVEI Project: TR1006 D4.1. Initial analysis of technology, commercial, market building blocks
DOI: 10.13130/rd_unimi/pddrps/mxfrbl
title: Luglio_1937_Pagina_273.jpg

description: Bulletin of 1937/07/28
DOI: 10.13130/rd_unimi/pddrps/1xs8nx
title: Luglio_1937_Pagina_274.jpg

description: Bulletin of 1937/07/28
DOI: 10.13130/rd_unimi/pddrps/uvasmx
title: Luglio_1937_Pagina_275.jpg

description: Bulletin of 1937/07/28
DOI: 10.13130/rd_unimi/pddrps/gi79lb
title: Luglio_1937_Pagina_276.jpg

description: Bulletin of 1937/07/28
DOI: 10.13130/rd_unimi/pddrps/lgd768
title: Luglio_1937_Pagina_277.jpg

description: Bulletin of 1937/07/28
DOI: 10.5286/ukerc.edc.000911
title: CCS Next Generation Capture Technologies: Benchmarking and Performance Analysis - Benchmarking and Performance Analysis of Future CO<sub>2</sub> Capture Technologies ? Economic Model - - 2010

description: This spreadsheet model was produced in 2010 as part of the CCS Capture Benchmarking Study, and provides a techno-economic analysis of the performance of four state-of-the art power generation/CO<sub>2</sub> capture designs (coal with post-combustion capture, coal with gasification/pre-combustion capture, coal with oxy-firing and combined cycle gas turbine with post-combustion capture).The spreadsheet enables ‘what if’ calculations of costs for designs with 85%, 90% and 95% capture rates. Outputs include capital costs, operating costs, cost of capture and levelised cost of electricity (LCOE).The spreadsheet concentrates on power generation, capture and compression, but allows manual input of transport and storage costs to provide overall figures.The model is partly superseded by work undertaken and reported in the Benchmark Refresh project.
DOI: 10.13130/rd_unimi/pddrps/o3fmsn
title: Luglio_1937_Pagina_278.jpg

description: Bulletin of 1937/07/28