cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-6784-1
title: National Awareness and Early Diagnosis Initiative: Cancer Awareness Measure, NHS Tees, 2010
title: Cancer Awareness Measures
title: NAEDI-CAM

description: &lt;p&gt;The &lt;span style="font-style: italic;"&gt;Cancer Awareness Measure&lt;/span&gt; (CAM) was developed in 2007-8 to address the absence of a validated measure of general public awareness of cancer (Stubbings, S., Robb, K., Waller, J., Ramirez, A., Austoker, J., Macleod, U., Hion, S., and Wardle, J. (2009) 'Development of a measurement tool to assess public awareness of cancer', British Journal of Cancer, 101(2), S13-S17.).&lt;br&gt;&lt;br&gt;The survey includes measures of awareness of signs and symptoms of cancer, cancer risk factors, age-related risk, screening programmes and potential barriers to seeing the GP. Since then, Cancer Research UK (CRUK) has significantly revised and updated the survey, including a wider range of questions and collecting data online instead of face-to-face. The CAM was also previously known as the National Awareness and Early Diagnosis Initiative Cancer Awareness Measure (NAEDI-CAM).&lt;/p&gt; Independent market research company Public Knowledge were commissioned by NHS Tees to conduct research to assess cancer awareness, using the validated Cancer Awareness Measure (CAM). Data were collected using a combined face-to-face street and door-knocking methodology from the most deprived wards served by NHS Tees, specifically: NHS Hartlepool, NHS Redcar and Cleveland, NHS Stockton on Tees and NHS Middlesbrough. &lt;br&gt;
&lt;br&gt;
Further information about the CAM may be found on the &lt;a href="http://info.cancerresearchuk.org/spotcancerearly/naedi/AboutNAEDI/Researchevaluationandmonitoring/naedi_cam/" title ="Cancer Research UK Cancer Awareness Measures (CAMs)"&gt;Cancer Research UK Cancer Awareness Measures (CAMs)&lt;/a&gt; web page.&lt;br&gt;
DOI: 10.5255/ukda-sn-6785-1
title: Attitudes to Pensions Survey, 2009
title: Attitudes to Pensions Surveys, 2006-

description: The &lt;i&gt;Attitudes to Pensions Survey&lt;/i&gt; series aims to investigate attitudes to pensions and private financial preparations for later life in Great Britain. The baseline survey was conducted in 2006 with a follow-up conducted in 2009. These two surveys were both conducted by NatCen Social Research on behalf of the Department for Work and Pensions (DWP). The 2012 survey was conducted by TNS BMRB on behalf of DWP. One of the key aims of the survey series is to examine continuity and change in attitudes to financial planning for retirement over time so a large number of the questions have been repeated over all three surveys.&lt;br&gt;
&lt;br&gt;
 The &lt;i&gt;Attitudes to Pensions Survey, 2009&lt;/i&gt; primarily consists of repeat questions from 2006, to enable time series analysis, but includes a minority of amended and new questions which seek to examine attitudes to new issues and policies – including extended working, pensions reform and planned changes to the state pension age.&lt;br&gt;
DOI: 10.5255/ukda-sn-6787-2
title: National Child Measurement Programme, 2006-2007
title: National Child Measurement Programme, 2006/2007-
title: NCMP; National Child Measurement Programme, 2006-2007 School Year

description: The &lt;i&gt;National Child Measurement Programme&lt;/i&gt; (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate.&lt;br&gt;
&lt;br&gt;
The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda.&lt;br&gt;
&lt;br&gt;
The NCMP was set up in line with the Government's strategy to tackle obesity and to: &lt;ul&gt;&lt;li&gt;inform local planning and delivery of services for children&lt;/li&gt;&lt;li&gt;gather population-level data to allow analysis of trends in growth patterns and obesity &lt;/li&gt;&lt;li&gt;increase population and professional understanding of weight issues in children &lt;/li&gt;&lt;li&gt;be a vehicle for engaging with children and families about healthy lifestyles and weight issues&lt;/li&gt;&lt;/ul&gt;Further information can be found at the Health and Social Care Information Centre &lt;a href = "http://www.ic.nhs.uk/ncmp" title ="National Child Measurement Programme"&gt;National Child Measurement Programme&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
 For the second edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly.&lt;br&gt;
DOI: 10.5255/ukda-sn-6788-2
title: National Child Measurement Programme, 2007-2008
title: National Child Measurement Programme, 2006/2007-
title: NCMP; National Child Measurement Programme, 2007-2008 School Year

description: The &lt;i&gt;National Child Measurement Programme&lt;/i&gt; (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate.&lt;br&gt;
&lt;br&gt;
The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda.&lt;br&gt;
&lt;br&gt;
The NCMP was set up in line with the Government's strategy to tackle obesity and to: &lt;ul&gt;&lt;li&gt;inform local planning and delivery of services for children&lt;/li&gt;&lt;li&gt;gather population-level data to allow analysis of trends in growth patterns and obesity &lt;/li&gt;&lt;li&gt;increase population and professional understanding of weight issues in children &lt;/li&gt;&lt;li&gt;be a vehicle for engaging with children and families about healthy lifestyles and weight issues&lt;/li&gt;&lt;/ul&gt;Further information can be found at the Health and Social Care Information Centre &lt;a href = "http://www.ic.nhs.uk/ncmp" title ="National Child Measurement Programme"&gt;National Child Measurement Programme&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
 For the second edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly.&lt;br&gt;
DOI: 10.5255/ukda-sn-6789-2
title: National Child Measurement Programme, 2009-2010
title: National Child Measurement Programme, 2006/2007-
title: NCMP; National Child Measurement Programme, 2009-2010 School Year

description: The &lt;i&gt;National Child Measurement Programme&lt;/i&gt; (NCMP) was first established in 2005. It is an annual programme which measures the height and weight of children in Reception and Year 6 within state maintained schools. Some independent and special schools also choose to participate.&lt;br&gt;
&lt;br&gt;
The measurement process is overseen by trained healthcare professionals in schools and not shared with school staff or pupils. Data are captured and validated by Primary Care Trusts (PCTs). The Health and Social Care Information Centre (HSCIC) (prior to 1 April 2013 the NHS Information Centre for Health and Social Care (NHS IC)) then collates the data at a national level, conducts further validation and analysis, and publishes an annual report. The National Obesity Observatory (NOO) also publish detailed analysis of the NCMP dataset annually. The validated national NCMP dataset is shared with Public Health Observatories (PHOs) in accordance with the terms of a data sharing agreement. The PCTs also undertake additional analyses at regional and local level to inform the work of the NHS and local authorities on the healthy weight agenda.&lt;br&gt;
&lt;br&gt;
The NCMP was set up in line with the Government's strategy to tackle obesity and to: &lt;ul&gt;&lt;li&gt;inform local planning and delivery of services for children&lt;/li&gt;&lt;li&gt;gather population-level data to allow analysis of trends in growth patterns and obesity &lt;/li&gt;&lt;li&gt;increase population and professional understanding of weight issues in children &lt;/li&gt;&lt;li&gt;be a vehicle for engaging with children and families about healthy lifestyles and weight issues&lt;/li&gt;&lt;/ul&gt;Further information can be found at the Health and Social Care Information Centre &lt;a href = "http://www.ic.nhs.uk/ncmp" title ="National Child Measurement Programme"&gt;National Child Measurement Programme&lt;/a&gt; webpage.&lt;br&gt;
&lt;br&gt;
 For the second edition (January 2013) a revised version of the database was deposited, with new additional tables included. The documentation has been updated accordingly.
DOI: 10.5255/ukda-sn-6792-1
title: Health Survey for England, 2000-2001: Small Area Estimation Teaching Dataset
title: Introducing Small Area Estimation Techniques and Applying Them to the Health Survey for England using Stata; HSE

description: The &lt;i&gt;Health Survey for England, 2000-2001: Small Area Estimation Teaching Dataset&lt;/i&gt; was prepared as a resource for those interested in learning introductory small area estimation techniques. It was first presented as part of a workshop entitled 'Introducing small area estimation techniques and applying them to the Health Survey for England using Stata'. The data are accompanied by a guide that includes a practical case study enabling users to derive estimates of disability for districts in the absence of survey estimates. This is achieved using various models that combine information from ESDS government surveys with other aggregate data that are reliably available for sub-national areas. Analysis is undertaken using Stata statistical software; all relevant syntax is provided in the accompanying '.do' files. &lt;br&gt; &lt;br&gt; The data files included in this teaching resource contain HSE variables and data from the Census and Mid-year population estimates and projections that were developed originally by the National Statistical agencies, as follows:&lt;ul&gt;&lt;li&gt;The main data file, 'hse_data.dta', is a reduced version of the HSE for 2000 and 2001. In order to combine data from two years of the HSE in a consistent way some changes have been made to the weights in each year. Additionally, some recoding of the limiting long term illness (LLTI), disability and the age variable has also been undertaken.&lt;/li&gt;&lt;li&gt;File 'practical_1_task_5_data.dta' contains population counts and model mobility disability rates (estimated during practical 1) distinguishing single year of age and sex for the six case study districts.&lt;/li&gt;&lt;li&gt;File 'practical_2_data.dta' contains the aggregate data required for Practical 2, including age- and sex-specific rates of LLTI (Census) for six UK case study districts, age- and sex-specific rates of mobility disability for England (HSE), and population counts for the six districts.&lt;/li&gt;&lt;li&gt;File 'pop_data_practical_3.dta' contains population counts for the six districts (by age, sex and LLTI status) required for practical 3&lt;/li&gt;&lt;/ul&gt;The original HSEs for 2000 and 2001 are held at the UK Data Archive under SNs 4628 and 4912 respectively. Full details of the recoding of HSE variables and how the aggregate data was produced can be found in the data documentation.&lt;br&gt; &lt;br&gt; This unrestricted access data collection is freely available to download under an &lt;a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/2/" title="Open Government Licence"&gt;Open Government Licence&lt;/a&gt; from the UK Data Service. Note that the files should be unzipped/saved to the C: drive of the computer to be used; all syntax assumes files are saved at this location.&lt;br&gt; &lt;br&gt;
DOI: 10.5281/zenodo.15237229
title: Raw Data: Shikonin enhances hypnotic effect and synergistic properties of diazepam possibly through GABAergic interaction pathway: in vivo and in silico studies

description: This is the raw data for the project entitled ''Shikonin enhances hypnotic effect and synergistic properties of diazepam possibly through GABAergic interaction pathway: in vivo and in silico studies''
DOI: 10.5281/zenodo.15237230
title: Raw Data: Shikonin enhances hypnotic effect and synergistic properties of diazepam possibly through GABAergic interaction pathway: in vivo and in silico studies

description: This is the raw data for the project entitled ''Shikonin enhances hypnotic effect and synergistic properties of diazepam possibly through GABAergic interaction pathway: in vivo and in silico studies''
DOI: 10.5281/zenodo.14839601
title: unimpeded: wlcdm bao.sdss_dr16+planck_2018_plik

description: cosmological model:wlcdm, dataset:bao.sdss_dr16+planck_2018_plik
DOI: 10.5281/zenodo.14839602
title: unimpeded: wlcdm bao.sdss_dr16+planck_2018_plik

description: cosmological model:wlcdm, dataset:bao.sdss_dr16+planck_2018_plik
DOI: 10.3886/e218861v1
title: ATT PST Feedback

description: Preservice teacher data around clinical teaching evaluations from field supervisors
DOI: 10.17632/9gw3fd69dw
title: THE EXCELLENCY KING WAKID-XP GENERAL HARI ALEJANDRO SELDON JR (USAF) SOVEREIGN ORDER OF ROYAL EL ROMANIA†‡#fetus Recommissioning Decades and THE QUEENS

description: Her Excellency Holiness †Royal El Romania Queen👑Natalia🍒Consensus BRICS mission an Africa lead-in-humanity creation.
Democrat of the House†Kingdom Holdings—Queen SO°RER NATALIA‡Sovereign Order of Royal El Romania🍒

Her Excellency Holiness †Royal El Romania Queen👑Maria🌟takeover leadership role of acquisition "Online" as Big Opera.
Republican of the House†Kingdom Holdings—Queen SO°RER MARIA‡Sovereign Order of Royal El Romania🌟 
👑Queen MARIA SO°RER — KH†House Republican — Sovereign Order of Royal El Romania‡Praise the God🙏 

Her Excellency Holiness †Royal El Romania Queen👑Anastasia🔥deployed as a Prime Minister to the Sovereign Order.
†👑Анастасия - председатель Общенациональной ассоциации домовладельцев SO°RER‡ 

Her Excellency Holiness †Royal El Romania Queen👑ELECHKA🕊️led ER-UN & all Int'l Gov't Affairs i.e:NATO,CIS,EU,CoN,BRI.
Leader of the House † Kingdom Holdings — Queen SO°RER ELECHKA‡Sovereign Order of Royal El Romania🕊️

Her Excellency Holiness †Royal El Romania Queen👑Dizzle (Introth)🍄in-charged to ER-IT development programme & mapping. 
👑Her Veneration Queen Nattizzle INTROTH †SO°RER‡ inaugurated Quantum Culture of Resilience Science Societies.

Her Excellency Holiness 👑SO°RER†‡ Queen Senya🪐 has joined Sovereign Order of Royal El Romania†‡ Mission. 

Her Excellency Holiness 👑🦋⃤𝙼𝙰𝚁𝙸𝙰𝙼 Queen SO°RER†‡ has been joined core mission of Sovereign Order of Royal El Romania†‡

© Protocol Number: #56319 | Updated/latest ChainLink: cw-chain-link-1196.cwd 
SO°RER†‡ Mendeley Pure Digital Commons Data Set 📄 RIMS/CRIS & Institutional Repositories 🎓
DOI: 10.15468/dl.n4ae9b
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "TaxonKey is Olea europaea L."
 ]
}

 The dataset includes 518 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022701-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhywzh
title: Occurrence Download

description: A dataset containing 1227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma granulosum Taylor, 1944"
 ]
}

 The dataset includes 1227 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022702-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jzyj0
title: CCDC 2353443: Experimental Crystal Structure Determination

description: Related Article: Azimet A. Karluk, Simil Thomas, Aleksander Shkurenko, Bashir E. Hasanov, Javeed Mahmood, Mohamed Eddaoudi, Cafer T. Yavuz|2025|J.Mater.Chem.C|13|2165|doi:10.1039/D4TC03717K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kwyr5
title: CCDC 2380358: Experimental Crystal Structure Determination

description: Related Article: Dmitry I. Nazarov, Alexey V. Kuzmin, Mikhail K. Islyaikin, Evgenii N. Ivanov, Alexander F. Shestakov, Maxim A. Faraonov, Salavat S. Khasanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2025|New J.Chem.|49|1631|doi:10.1039/D4NJ04896B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kz4h6
title: CCDC 2382458: Experimental Crystal Structure Determination

description: Related Article: Gopal Chakrabortty, Partha Pratim Sen, Sudipta Raha Roy|2025|Chem.Commun.|61|1898|doi:10.1039/D4CC05192K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lkfqb
title: CCDC 2400042: Experimental Crystal Structure Determination

description: Related Article: Benedikt Buchberger, Nemrud Demirel, Xiulan Xie, Sergei I. Ivlev, Eric Meggers|2025|Chem.Commun.|61|1894|doi:10.1039/D4CC06227B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lkfrc
title: CCDC 2400043: Experimental Crystal Structure Determination

description: Related Article: Benedikt Buchberger, Nemrud Demirel, Xiulan Xie, Sergei I. Ivlev, Eric Meggers|2025|Chem.Commun.|61|1894|doi:10.1039/D4CC06227B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.25648563
title: <b>Varying phylogenetic signal in susceptibility to four bacterial pathogens across species of Drosophilidae</b>

description: Bacterial host shifts, where bacterial pathogens jump into and establish infection in a new host species, are an important source of emerging infectious diseases. Here, we use four bacterial pathogens to infect a panel of 36 species of fruit fly that shared a common ancestor ~50 million years ago. We found large amounts of variation in susceptibility across host species to these bacterial pathogens. This variation is explained by the host phylogeny to varying degrees, with hosts clustering into clades with distinct levels of susceptibility. However, the magnitude of the effect varies between the four bacterial pathogens. For three out of the four pathogens tested mortality was correlated with bacterial load, suggesting it is a result of bacterial proliferation in the host. This has important implications for our understanding of the emergence of bacterial pathogens, and to date there are few large-scale experimental studies of bacterial host shifts.
DOI: 10.6084/m9.figshare.25648563.v4
title: <b>Varying phylogenetic signal in susceptibility to four bacterial pathogens across species of Drosophilidae</b>

description: Bacterial host shifts, where bacterial pathogens jump into and establish infection in a new host species, are an important source of emerging infectious diseases. Here, we use four bacterial pathogens to infect a panel of 36 species of fruit fly that shared a common ancestor ~50 million years ago. We found large amounts of variation in susceptibility across host species to these bacterial pathogens. This variation is explained by the host phylogeny to varying degrees, with hosts clustering into clades with distinct levels of susceptibility. However, the magnitude of the effect varies between the four bacterial pathogens. For three out of the four pathogens tested mortality was correlated with bacterial load, suggesting it is a result of bacterial proliferation in the host. This has important implications for our understanding of the emergence of bacterial pathogens, and to date there are few large-scale experimental studies of bacterial host shifts.
DOI: 10.57932/62c31b5f-ac28-4288-bd69-1cf8f07649b0
title: A dataset of annotated ground-based images for the development of contrail detection algorithms V1.1

description: All economic sectors must understand, measure and mitigate their contributions to climate change. The aviation sector is no exception and has to reduce its CO2 emissions while also addressing its non-CO2 effects which are responsible for a significant radiative impact on climate. The most important of these effects is due to the formation of contrails and their transformation into induced cirrus. Many studies have focused on detecting contrails onto satellite images because, taken together, meteorological geostationary and sun-synchronous satellites provide a good monitoring of the Earth’s atmosphere, but unfortunately the spatial resolution and temporal sampling of such satellite images are often insufficient to detect contrails right after their formation and attribute a particular contrail to a given flight. The use of ground-based cameras, especially as part of a network, is therefore complementary to satellite imagery and currently represents an important avenue of research for contrail monitoring. In this article we describe a dataset of annotated ground-based hemispheric sky images that can serve as a basis for the training and validation of contrail detection algorithms, in particular those aiming at segmenting contrails using machine learning methods.
DOI: 10.5281/zenodo.14839616
title: unimpeded: wlcdm bicep_keck_2018+planck_2018_plik

description: cosmological model:wlcdm, dataset:bicep_keck_2018+planck_2018_plik