The Scottish Public Sector LiDAR (Phase 4) was initially captured by Fugro for Scottish Power Energy Network (SPEN) from 2017 to 2019 to monitor their overhead power cable network under their Virtual World Asset Management programme. The Scottish Government procured this dataset with a contribution from SEPA for public use in 2020. This dataset covers total 17,945 square kilometres (note the dataset does not have full national coverage). This dataset reflects the Digital Terrain Model (DTM) produced from the point cloud data.

The Scottish Public Sector LiDAR (Phase I) dataset was commissioned in response to the Flood Risk Management Act (2009) by the Scottish Government, Scottish Environmental Protection Agency (SEPA), and Scottish Water collaboratively. Airborne LiDAR data was collected across 10 sites totalling 11,845 km2 (note the dataset does not have full national coverage) between March 2011 and May 2012. Aside from flood risk management, this data has also been used for archaeological and orienteering purposes. This dataset reflects the LAS format point cloud data.

The Scottish Public Sector LiDAR (Phase 3) was initially captured by Fugro for Scottish Power Energy Network (SPEN) in 2015 and 2016 and to monitor their overhead power cable network under their Virtual World Asset Management programme. In addition, two pilots flights were included flown on behalf of the Scottish Border Council project Whiteadder in 2019. The Scottish Government procured this dataset with a contribution from SEPA for public use in 2019. This dataset covers total 11, 772 square kilometres (note the dataset does not have full national coverage). This dataset reflects the LAS point cloud data with density of 4ppm (points per square metre).

The Scottish Public Sector LiDAR (Phase 6) was initially captured by Fugro for Scottish Power Energy Network (SPEN) from 2021 to 2022 to monitor their overhead power cable network under their Virtual World Asset Management programme. The Scottish Government procured this dataset for public use in 2022. This dataset reflects the LAS point cloud data with a density of 4ppm (points per square metre).

The Scottish Public Sector LiDAR (Phase II) dataset was commissioned in response to the Flood Risk Management Act (2009) by the Scottish Government, Scottish Environmental Protection Agency (SEPA), sportscotland, and 13 Scottish local authorities. This extension of the Phase I dataset collected airborne LiDAR for 66 additional sites for the purposes of localised flood management. Data was collected between 29th November 2012 and 18th April 2014 totalling an area of 3,516 km2 (note the dataset does not have full national coverage). Aside from flood risk management, this data has also been used for archaeological and orienteering purposes. This dataset reflects the LAS format point cloud data.

The Scottish Public Sector LiDAR (Phase 5) was initially captured by Fugro for Scottish Power Energy Network (SPEN) from 2020 to 2021 to monitor their overhead power cable network under their Virtual World Asset Management programme. The Scottish Government procured this dataset with a contribution from SEPA for public use in 2021. This dataset reflects the Digital Terrain Model (DTM) produced from the point cloud data.

The Scottish Public Sector LiDAR (Phase 3) was initially captured by Fugro for Scottish Power Energy Network (SPEN) in 2015 and 2016 and to monitor their overhead power cable network under their Virtual World Asset Management programme. In addition, two pilots flights were included flown on behalf of the Scottish Border Council project Whiteadder in 2019. The Scottish Government procured this dataset with a contribution from SEPA for public use in 2019. This dataset covers total 11, 772 square kilometres (note the dataset does not have full national coverage). This dataset reflects the Digital Surface Model (DSM) produced from the point cloud data.

Scottish Marine and Freshwater Science Vol 7 No 14 The Strategic Environmental Assessments (SEA) for wave and tidal renewable energy generation in Scottish Waters (Faber, Maunsell & Metoc, 2007) identified a need to evaluate the potential interactions between marine renewables and marine wildlife as a matter of priority. In order to study the fine scale movements of animals close to a tidal energy device and potentially monitor collisions, monitoring systems are required with the ability to track animals with a high spatial and temporal resolution and over a range of several tens of metres from the turbine for a period of several months. This report details the progress of Phase 1 of the Scottish Government Demonstration Strategy (SGDS) project: Developing and testing methodologies for measuring fine scale marine mammal movements around tidal energy devices. The approach considered here comprises three sensor systems: Passive Acoustic Monitoring (PAM), Active Acoustics Monitoring (AAM) and Video Surveillance. Whilst each of these systems have been used to study marine animal movements, their combined application in a high tidal energy environment requires development and testing.

Understanding Society (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex, and the survey research organisations Verian Group and NatCen. It builds on and incorporates the British Household Panel Survey (BHPS), which began in 1991. The Understanding Society: Linked Education Administrative Datasets (Scottish Education Data), Scotland, 2007-2018: Secure Access study contains six files extracted from Sottish Education Data held by the Scottish Government. These can be linked (within the Secure Access service) to Understanding Society participants using the cross-wave personal identifier (variable pidp). The Scottish Education Data files include information on pupil background, attainment, destination of leavers, student support, school attendance, absences and exclusions for all individuals with a valid consent to education linkage collected in Waves 1 and 4 of Understanding Society. This includes consents collected from parents of children aged 4-15 and of the young adults aged 16-43 and born in 1981 or later. The files include School Pupil Census data collected in September from pupils in state schools. Attainment data relates to senior phase attainment covering SQA qualifications. See documentation for further details. Related UK Data Archive studiesThe equivalent study to this one that covers England is available in SN 7642. This study is frequently linked through the pidp variable to one of the main Understanding Society datasets: SN 6614 (End User Licence), SN 6931 (Special Licence) or SN 6676 (Secure Access). A Special Licence dataset containing School Codes for the main Understanding Society study (SN 7182) is also available. Further details can be found on the

Understanding Society series webpage. Topics covered in the data files include educational attainment scores, test/examination results, and school absences and exclusions, with a linking variable for matching with Understanding Society data as noted in the Abstract section above. Individual school codes are included in the data. Demographic information such as ethnic groups, languages spoken at home, deprivation indices, eligibility for free school meals and special educational needs is included in the School Pupil Census file ('pupils_restricted'). See documentation for further details.

Scottish Marine and Freshwater Science Vol 11 No 11 Offshore renewables have the potential to make a significant contribution to the Scottish Government's target to generate 50% of Scotland's overall energy consumption from renewable sources by 2030 and to have decarbonised the energy system almost completely by 2050. The offshore wind industry is set to expand substantially in Scotland and the rest of the UK over the next decade and beyond as both the Scottish and UK Governments strive for clean energy and climate change targets, and a green economic recovery. However, the Scottish Government has a duty to ensure that offshore renewable developments (ORDs) are achieved in a sustainable manner, by protecting habitats and species from adverse impacts. Noise from offshore renewables, particularly in the construction phase, can disturb marine mammal species and the potential impact of any new development requires assessment. The interim Population Consequence of Disturbance (iPCoD) is a framework that allows individual-level effects from disturbance to be scaled to population-level impacts. However, the iPCoD framework relies on expert elicitation, which is a source of variability and uncertainty in outputs. Another approach, which has the potential to be integrated into the iPCoD model, is Dynamic Energy Budgets (DEBs) theory. Incorporation of DEB theory into the modelling process can be used to predict how behavioural and environmental changes (e.g. food availability) influence individual energy budgets and thus population vital rates. Consequently, DEBs have the potential to produce a more accurate and robust prediction of population-level impacts. This report has developed dynamic energy budget (DEB) models for harbour porpoise, bottlenose dolphins, minke whales, harbour seals and grey seals in the UK based on values from current literature. It illustrates how a DEB model can be used to investigate the potential effects of disturbance that cause a reduction in energy intake, subsequently effecting vital rates (individual survival and birth rate), using harbour porpoise as an example. The report also highlights limitations in current knowledge and next steps in research to progress the DEB approach for these species and others. This work represents a significant step towards a more empirical framework for marine mammal assessments to reduce uncertainty and, while some expert elicitation will still be necessary due to gaps in empirical knowledge, these models can provide a more detailed and robust assessment of population-level consequences of impact that will aid interpretation by advisors and decision makers. The project was funded by Scottish Government (Marine Policy and Planning) as part of the Scottish Marine Energy Research programme and undertaken by SMRU Consulting.

Škotski javni sektor LiDAR (faza 4) je prvotno zajel Fugro za škotsko energetsko omrežje (SPEN) med letoma 2017 in 2019, da bi spremljal njihovo omrežje nadzemnih električnih kablov v okviru programa Virtual World Asset Management. Škotska vlada je leta 2020 ta nabor podatkov naročila za javno uporabo. Ta nabor podatkov zajema skupno 17 945 kvadratnih kilometrov (upoštevajte, da nabor podatkov ne zajema celotne države). Ta nabor podatkov odraža podatke oblaka točk LAS z gostoto 4 ppm (točke na kvadratni meter).

Den skotske offentlige sektor LiDAR (fase 4) blev oprindeligt fanget af Fugro for Scottish Power Energy Network (SPEN) fra 2017 til 2019 for at overvåge deres luftledningsnet under deres Virtual World Asset Management-program. Den skotske regering indkøbte dette datasæt med et bidrag fra SEPA til offentlig brug i 2020. Dette datasæt dækker i alt 17.945 kvadratkilometer (bemærk, at datasættet ikke har fuld national dækning). Dette datasæt afspejler den digitale terrænmodel (DTM), der produceres ud fra punktskydataene.

Class size data in publicly funded primary schools is collected each year as part of the annual pupil census. The data presented here is an extract of data published by the Scottish Government. The data provides a count of pupils in each class in the Glasgow local authority area only and is graduated to school and class type level. 'Class type' gives the stage of pupils in the class or, where more than one stage is present. 'Co' denotes a composite class. Data forms part of a time series and covers the years 2003 - 2013. The class size maxima (2014-03-31T12:00:00) for P1 pupils is 25 and 30 for single stage class P2 or P3 is set out in 'The Education (Lower Class Sizes) (Scotland) Amendment Regulations 2010'. These regulations allow certain exceptions such as pupils who join a class after the end of a placing round and Additional Support Needs pupils who only join a class for part of the time. For P4-P7 class size maxima are set out in teachers terms and conditions of service. For these years there is a normal maximum of 33. Composite classes throughout primary have a class size maximum of 25 These are National Statistics background data. National Statistics are produced to high professional standards set out in the National Statistics Code of Practice. They undergo regular quality assurance reviews to ensure that they meet customer needs. They are produced free from any political interference. Analysis of class size at a national level is available through the following link. Licence: None class-size-2003-13.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/aa88cabd-ede8-448f-b8ea-314c852c29fb/File/fd985540-f242-4c1a-a6e4-54fb3f8c4455/Version/d1cdf392-0304-43f3-92de-33a3af8edd19

Škotski javni sektor LiDAR (4. faza) prvotno je preuzeo Fugro za škotsku energetsku mrežu (SPEN) od 2017. do 2019. kako bi nadzirao njihovu nadzemnu mrežu električnih kabela u okviru programa upravljanja imovinom virtualnog svijeta. Škotska vlada nabavila je taj skup podataka za javnu uporabu 2020. Taj skup podataka obuhvaća ukupno 17 945 kvadratnih kilometara (imajte na umu da skup podataka nema potpunu nacionalnu pokrivenost). Taj skup podataka odražava podatke iz oblaka točaka LAS-a s gustoćom od 4 ppm (točke po kvadratnom metru). Škotski javni sektor LiDAR (4. faza) prvotno je preuzeo Fugro za škotsku energetsku mrežu (SPEN) od 2017. do 2019. kako bi nadzirao njihovu nadzemnu mrežu električnih kabela u okviru programa upravljanja imovinom virtualnog svijeta. Škotska vlada nabavila je taj skup podataka za javnu uporabu 2020. Taj skup podataka obuhvaća ukupno 17 945 kvadratnih kilometara (imajte na umu da skup podataka nema potpunu nacionalnu pokrivenost). Taj skup podataka odražava podatke iz oblaka točaka LAS-a s gustoćom od 4 ppm (točke po kvadratnom metru). Škotski javni sektor LiDAR (4. faza) prvotno je preuzeo Fugro za škotsku energetsku mrežu (SPEN) od 2017. do 2019. kako bi nadzirao njihovu nadzemnu mrežu električnih kabela u okviru programa upravljanja imovinom virtualnog svijeta. Škotska vlada nabavila je taj skup podataka za javnu uporabu 2020. Taj skup podataka obuhvaća ukupno 17 945 kvadratnih kilometara (imajte na umu da skup podataka nema potpunu nacionalnu pokrivenost). Taj skup podataka odražava podatke iz oblaka točaka LAS-a s gustoćom od 4 ppm (točke po kvadratnom metru).

Skotský veřejný sektor LiDAR (fáze 4) byl zpočátku zachycen společností Fugro pro Scottish Power Energy Network (SPEN) v letech 2017 až 2019, aby sledoval jejich síť nadzemních napájecích kabelů v rámci svého programu Virtual World Asset Management. Skotská vláda pořídila tento datový soubor pro veřejné použití v roce 2020. Tento soubor údajů pokrývá celkem 17 945 kilometrů čtverečních (všimněte si, že soubor údajů nemá plné vnitrostátní pokrytí). Tento datový soubor odráží mračna bodů LAS s hustotou 4 ppm (body na metr čtvereční). Skotský veřejný sektor LiDAR (fáze 4) byl zpočátku zachycen společností Fugro pro Scottish Power Energy Network (SPEN) v letech 2017 až 2019, aby sledoval jejich síť nadzemních napájecích kabelů v rámci svého programu Virtual World Asset Management. Skotská vláda pořídila tento datový soubor pro veřejné použití v roce 2020. Tento soubor údajů pokrývá celkem 17 945 kilometrů čtverečních (všimněte si, že soubor údajů nemá plné vnitrostátní pokrytí). Tento datový soubor odráží mračna bodů LAS s hustotou 4 ppm (body na metr čtvereční).

El LiDAR del sector público escocés (Fase 3) fue capturado inicialmente por Fugro para Scottish Power Energy Network (SPEN) en 2015 y 2016 y para monitorear su red aérea de cable de alimentación bajo su programa Virtual World Asset Management. Además, se incluyeron dos vuelos piloto en nombre del proyecto Whiteadder del Consejo Fronterizo Escocés en 2019. El Gobierno escocés adquirió este conjunto de datos con una contribución de la SEPA para uso público en 2019. Este conjunto de datos abarca un total de 11 772 kilómetros cuadrados (tenga en cuenta que el conjunto de datos no tiene cobertura nacional completa). Este conjunto de datos refleja los datos de la nube de puntos LAS con una densidad de 4 ppm (puntos por metro cuadrado).

Den skotske offentlige sektors LiDAR-datasæt (fase I) blev bestilt som reaktion på loven om oversvømmelsesrisikostyring (2009) af den skotske regering, Scottish Environmental Protection Agency (SEPA) og Scottish Water i fællesskab. Luftbårne LiDAR-data blev indsamlet på 10 lokaliteter på i alt 11.845 km2 (bemærk, at datasættet ikke har fuld national dækning) mellem marts 2011 og maj 2012. Bortset fra styring af oversvømmelsesrisikoen er disse data også blevet anvendt til arkæologiske formål og orienteringsløb. Dette datasæt afspejler LAS-formatpunktskydataene. Den skotske offentlige sektors LiDAR-datasæt (fase I) blev bestilt som reaktion på loven om oversvømmelsesrisikostyring (2009) af den skotske regering, Scottish Environmental Protection Agency (SEPA) og Scottish Water i fællesskab. Luftbårne LiDAR-data blev indsamlet på 10 lokaliteter på i alt 11.845 km2 (bemærk, at datasættet ikke har fuld national dækning) mellem marts 2011 og maj 2012. Bortset fra styring af oversvømmelsesrisikoen er disse data også blevet anvendt til arkæologiske formål og orienteringsløb. Dette datasæt afspejler LAS-formatpunktskydataene.

Škótsky verejný sektor LiDAR (fáza 6) bol pôvodne zachytený spoločnosťou Fugro pre škótsku energetickú sieť (SPEN) od roku 2021 do roku 2022 s cieľom monitorovať ich sieť nadzemného napájacieho kábla v rámci ich programu riadenia virtuálnych svetových aktív. Škótska vláda obstarala tento súbor údajov na verejné použitie v roku 2022. Tento súbor údajov odráža údaje o oblakoch bodu LAS s hustotou 4 ppm (body na meter štvorcový).