The Surrey Communication and Language in Education Study (SCALES) is the first UK population study of language development and disorder at school entry. The study is funded by Wellcome and the ESRC and involves more than 180 schools across Surrey UK. This longitudinal study was initially established to determine (1) the extent to which 'Specific' Language Impairment (SLI) was prevalent in a population (as opposed to clinically ascertained) sample at school entry, and (2) the impact of language impairment on other aspects of development and how these patterns of development change over time. A second phase of SCALES aimed to test theoretical accounts of the developing relationship between language and social, emotional, and mental health during the transition to secondary school. Unfortunately, the final testing wave coincided with the global Covid-19 pandemic which impacted data collection due to school closures and lockdown. The Surrey Communication and Language in Education Study: Intensive Data T2-T5, 2012-2020 concerns the intensive cohort who were assessed at four time points: Year 1, Year 3, Year 6, and Year 8. The dataset includes 528 variables assessing language, literacy, cognition, executive function and social, emotional and behavioural well-being. Further information about the study can be found on the UCL Literacy, Language and Communication Laboratory SCALES project website.

About this dataset

Context

The dataset tabulates the population of Surrey by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Surrey across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.73% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Surrey is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Surrey total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Surrey Population by Race & Ethnicity. You can refer the same here

Abstract copyright UK Data Service and data collection copyright owner. The Surrey Communication and Language in Education Study (SCALES) is the first UK population study of language development and disorder at school entry. The study is funded by Wellcome and the ESRC and involves more than 180 schools across Surrey UK. This longitudinal study was initially established to determine (1) the extent to which 'Specific' Language Impairment (SLI) was prevalent in a population (as opposed to clinically ascertained) sample at school entry, and (2) the impact of language impairment on other aspects of development and how these patterns of development change over time. A second phase of SCALES aimed to test theoretical accounts of the developing relationship between language and social, emotional, and mental health during the transition to secondary school. Unfortunately, the final testing wave coincided with the global Covid-19 pandemic which impacted data collection due to school closures and lockdown.The Surrey Communication and Language in Education Study: Intensive Data T2-T5, 2012-2020 concerns the intensive cohort who were assessed at four time points: Year 1, Year 3, Year 6, and Year 8. The dataset includes 528 variables assessing language, literacy, cognition, executive function and social, emotional and behavioural well-being. Further information about the study can be found on the UCL Literacy, Language and Communication Laboratory SCALES project website. Main Topics: The main areas of research include:teacher rated language competencyteacher rated social, emotional, behavioural developmentteacher rated educational attainment (reception year) Multi-stage stratified random sample Self-administered questionnaire Clinical measurements Face-to-face interview: Paper-and-pencil (PAPI) Parent/Teacher questionnaires Psychological measurements and tests

SAVEE (Surrey Audio-Visual Expressed Emotion) is an emotion recognition dataset. It consists of recordings from 4 male actors in 7 different emotions, 480 British English utterances in total. The sentences were chosen from the standard TIMIT corpus and phonetically-balanced for each emotion. This release contains only the audio stream from the original audio-visual recording.

The data is split so that the training set consists of 2 speakers, and both the validation and test set consists of samples from 1 speaker, respectively.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('savee', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

This collection offers a number of semantically annotated datasets collected from partners of the CityPulse EU FP7 project and relevant resources for smart city data. Visitors can use the menu on the left to access these resources.

About this dataset

Context

The dataset tabulates the population of Surrey by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Surrey. The dataset can be utilized to understand the population distribution of Surrey by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Surrey. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Surrey.

Key observations

Largest age group (population): Male # 0-4 years (146) | Female # 65-69 years (98). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Surrey population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Surrey is shown in the following column.
• Population (Female): The female population in the Surrey is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Surrey for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Surrey Population by Gender. You can refer the same here

In this study, we used fermentation off-gases from a brewery for integrated CO2 capture and utilisation in order to produce CH4 with a dual-function material (DFM) containing NiRu as catalyst and dispersed CaO as adsorbent. CH4 was produced from captured CO2 via 2 pathways (fast and slow), proceeding through formyl intermediates according to the operando DRIFTS-MS results. The NiRuCa DFM showed a stable CH4 capacity over 8 cycles (105 μmol/gDFM) with fermentation off-gases being used as a CO2 capture feed. H2O and O2, which were present in small amounts in the emissions feed, resulted in the passivation of Ni in the form of a NiO layer that protected the DFM from excessive oxidation and deactivation. This work constitutes a first in terms of validating the use of DFMs with real industrial emissions, and it directly correlates the DFM activity performance with its reaction mechanism and intermediate species.

Those are the data generated for our collaborative project with Spain. All the data are given in excel files except of some figures that are png format. The uploaded data also include the data used in the supplementary information and those figures and tables are denoted with an 'S' before the number. The data include the activity data of a sample under real conditions, its reaction mechanism under ideal and realistic conditions, and its physiochemical characterisation.

This spreadsheet contains details of article processing charges (APCs) paid by the University of Surrey during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).

This data captured using a quantitative survey on the travel habits and spending behaviours of potential visitors across different seasons. This empirical research compares the variation in several key behavioural factors including duration of stay, party size, revisit intention, spending and breakdown of spending in different sectors in hospitality and tourism including entertainment, restaurant, accommodation and transportation. Moreover, this research expands our understanding by examining the effectiveness of innovative strategies of offering a digital app and organising a unique event to tackle seasonal imbalances through stimulating visitors’ intention to change their timing of visit from peak to off-peak periods.

This collection provides a complete list of convict names and sufficient biographical data to enable unambiguous identification of convicts who were disembarked from convict ship "Surrey (3)" at Van Diemen's Land on 1833-04-07

This includes, where known, an estimation of the year of birth, place of birth, where and when convicted, the sentence, the date of arrival in the colony and the convict's age on arrival. The brief convict biographical data provided in this collection serves as an index into the far more extensive set of life course events which are recorded in the prosopgraphy database built by the Founders and Survivors project.

Basic details for this ship: * ship name (as known in VDL records): Surrey (3) * sailed date : 1832-12-04 from Downs * arrival date : 1833-04-07 * population (per Bateson's The Convict Ships): Embarked:?204 Men ; Deaths:1; Landed:204(VDL) Men

Data for convicts listed in this collection comes from the source which has been determined by Founders and Survivors to form the "base population" for this ship. Further information as to the methodology and the linkage of multiple sources is detailed in the narrative format of the collection. The matching and linkage of additional sources about Tasmanian convict's is the subject of ongoing research. This collection may be repuplished regularly, and in additional formats and with specific user interfaces, to enable public participation in the quality of convict matching and linkage -- see for example the EXPERIMENTAL linkage.htm format for this collection. Linkage for ships arriving at Norfolk Island and Port Philip is incomplete.

This ship's prosopography index is published in a directory named "362.03" (the ship's project id). Three three different file formats provided: -- (default; suitable for web browsing) HTML: world wide web hypertext markup language format which provides a "narrative" view of the collection (index.htm); and -- (structured prosopgraphy: persons and events) XML / TEIp5 : Text Encoding Initiative (version p5) XML format which provides the underlying XML database for this collection (index.xml); and -- Not yet available simple list of convict names in a flat file, tab delimited, suitable for Excel, Stata, SPSS or database usage (index.tab). See notes below.

This layer displays boundaries which are represented by the days of the week in which garbage and recycling items will be collected.

View in COSMOS

Silica-supported nickel phosphide catalysts with varying Ni/P atomic ratios (12/5, 2, 1, and 0.5) and 15 wt.% Ni-loading are synthesized. The synthesized catalysts are calcined and subjected to Temperature Programmed Reduction (TPR) analysis to evaluate Hydrogen consumption. Pre-reaction X-ray diffraction (XRD) analysis is performed on all calcined samples after reduction and passivation. The reduced catalysts are tested for the reverse water-gas shift reaction and post-reaction XRD analysis is performed on them. Stability tests are conducted on catalysts with Ni/P atomic ratios of 12/5 and 2, followed by XRD analysis of post-stability samples. The elemental composition of the catalysts at each stage is evaluated via inductively coupled plasma mass spectroscopy (ICP-MS) analysis. All experimental data is made available for re-use through this platform.

About this dataset

Context

The dataset tabulates the population of Surrey township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Surrey township. The dataset can be utilized to understand the population distribution of Surrey township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Surrey township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Surrey township.

Key observations

Largest age group (population): Male # 60-64 years (278) | Female # 65-69 years (203). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Surrey township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Surrey township is shown in the following column.
• Population (Female): The female population in the Surrey township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Surrey township for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Surrey township Population by Gender. You can refer the same here

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 and storage (CCS) to play a significant role within global action to mitigate the risk of climate change, with a focus on India. Available for download at http://hdl.handle.net/1842/15679.

Abstract copyright UK Data Service and data collection copyright owner.The aim of the project was to improve access to local and trade directories for the period 1750-1919 by making a substantial collection of English and Welsh directories available online as a Digital Library of Historical Directories. This digital resource comprises in total some 600 directories, covering every English county together with Wales, and ranging widely over the period 1750-1919 (the latter cut-off point chosen for copyright reasons). There is a particular focus on the 1850s, 1890s and 1910s, with at least one directory provided for each county in each of these decades. The digitisation of the volumes involved a two-stage process, in which (1) the hard-copy source was scanned to produce a graphic image of each page, and then (2) those images were processed using OCR software to generate a machine-readable text file.An online version of this resource can be found on the Website of the University of Leicester. This data collection includes the following directories:- Kelly's Directory of Kent, Surrey and Sussex, 1891. Part 1. Kent: County & Localities (1891)- Kelly's Directory of Kent, Surrey and Sussex, 1891. Part 2. Kent: Court & Trade Directories (1891)- Kelly's Directory of Kent, Surrey and Sussex, 1891. Part 3: Surrey (1891)- Kelly's Directory of Kent, Surrey and Sussex, 1891. Part 4: Sussex & Advertisements (1891)- The Bexhill Chronicle Guide, Almanac and Directory to Bexhill-on-Sea and environs. Local illustrations and information (1892)- Long's Worthing Directory. 1892. Also directories of the whole of the villages in Worthing postal district (1892)- Kelly's Ealing, Acton, Hanwell, Gunnersbury & Chiswick Directory ("Buff Book") for 1893-4 (1893)- Kelly's Directory of Essex, Hertfordshire and Middlesex. 1894. Essex only- Kelly's Directory of Essex, Hertfordshire and Middlesex. 1894. Hertfordshire & Middlesex only- Kelly's Directory of Hertfordshire (1895)- Kelly's Directory of Hertfordshire (1899)- Kelly's Directory of Middlesex (1899)- Kelly's Directory of Sussex (1899)- Kelly's Directory of Essex (1902)- Kelly's Directory of Hertfordshire (1902)- Parsons' Isle of Sheppey Local Directory and Guide, containing general information, streets and alphabetical directory (1902)- Kelly's Directory of Kent, 1903. Part 1: County & Localities- Kelly's Directory of Kent, 1903. Part 2: Private Resident & Trade Directories- The "Kent Messenger" Directory of Maidstone and surrounding villages (1904) Main Topics:The directories included are of many different kinds, commonly embracing trade, commercial, and private resident directories, together with gazetteers, almanacs, official information, etc. For the purposes of deposit in the UK Data Archive, the collection has been divided into 35 studies on a regional and temporal basis.

Dual function materials (DFMs) are key for the integrated capture of CO₂ from waste gas streams and its valorisation to valuable chemicals, such as syngas. To be able to function in commercial applications, DFMs require both high capture capacity and catalytic activity, achieved by optimising the synergistic interactions among the catalytic metals, support and adsorbent components. To obtain increased interaction, the dry milling process can be used as a sustainable, solvent free, green synthesis method. In this work, we report the performance of RuNi bimetallic DFMs supported on CeO₂-Al₂O₃ and promoted with CaO and Na₂O, synthesised by a mild-energy mechano-chemical process. The materials show superior capture capacity and increased activity in Reverse Water-Gas Shift reaction (RWGS) for CO production at 650 °C compared to their counterpart prepared by a conventional impregnation method. High activity and stability are also maintained when O₂ is present in the capture step, indicating potential for real exhaust-gases capture applications. Also, direct air capture of CO₂ is reported, further underlining the benefits of the dry milling approach for creating versatile DFMs.

Those are the data generated for our collaborative project with Italy. All the data are given in excel files except of two figures with png format. The uploaded data also include the data used in the supplementary information and those figures and table are denoted with an 'S' before the number. The data include the physiochemical characterisation of ten (or nine) different samples and their activity performance under ideal and realistic conditions.