cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8963-1
title: Smart Energy Research Lab: Statistical Data, 2019-2021: Safeguarded Access
title: SERL; Smart Energy Research Lab: Energy Use in GB Domestic Buildings

description: &lt;p class="x_x_x_MsoNoSpacing"&gt;&lt;span&gt;The Smart Energy Research Lab (SERL) Observatory facilitates a broad range of energy demand research and is a unique data resource for research where access to high resolution, large scale energy data linked to relevant contextual data is required. &lt;/span&gt;Further information about SERL can be found on the &lt;a href="https://serl.ac.uk/"&gt;Smart Energy Research Lab&lt;/a&gt;&lt;a href="https://serl.ac.uk/" target="_blank" style="background-color: rgb(255, 255, 255);"&gt;&lt;/a&gt; website.&lt;/p&gt;&lt;p class="x_x_x_MsoNoSpacing"&gt;This dataset of aggregated statistics is available under standard Safeguarded (End User Licence) access conditions. It contains around 110,000 rows and describes domestic gas and electricity energy use in Great Britain in 2021 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. This aggregated dataset can be used, for example, to show how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day); and can be broken down by occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile. &lt;/p&gt;&lt;p class="x_x_x_MsoNoSpacing"&gt;&lt;span style="font-weight: bold;"&gt;Secure Access data&lt;/span&gt;&lt;span style="font-weight: 700;"&gt;&lt;br&gt;&lt;/span&gt;A more detailed set of SERL data, including smart meter data and additional contextual data, is available under restricted Secure access conditions under &lt;a href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8666" style="background-color: rgb(255, 255, 255);"&gt;SN 8666: Smart Energy Research Lab Observatory Data: Secure Access&lt;/a&gt;&lt;a href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8666" style="background-color: rgb(255, 255, 255);"&gt;&lt;/a&gt;. It is a longitudinal dataset containing records from August 2019, with updates provided to researchers on a (roughly) quarterly basis. Users should download this safeguarded access statistical study first to see whether it is suitable for their needs before considering an application for the Secure dataset.&lt;/p&gt; &lt;div&gt; &lt;div id="x_x_x_ftn1"&gt;&lt;/div&gt; &lt;/div&gt;
DOI: 10.15468/dl.2rjqmx
title: Occurrence Download

description: A dataset containing 7476 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-115.14643 35.90044,-115.14643 35.89114,-115.14054 35.88278,-115.13528 35.8772,-115.12691 35.86141,-115.11359 35.85397,-115.09532 35.8453,-115.08355 35.83693,-115.07209 35.83415,-115.06031 35.836,-115.05412 35.84747,-115.0473 35.85738,-115.04204 35.86481,-115.03089 35.86512,-115.02872 35.87565,-115.03058 35.89083,-115.02996 35.89827,-115.05288 35.90508,-115.07363 35.90446,-115.09067 35.90384,-115.10353 35.90012,-115.11716 35.90538,-115.13451 35.91003,-115.14643 35.90044))"
 ]
}

 The dataset includes 7476 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027504-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110591582
title: Persepolis Fortification Aramaic Text 257, PFAT 257

description: [Text Description:] Administrative text with seals PFATS 0272s; PFATS 0273s ❧ [Text or Publication Number Note:] PFAT 257, Bowman 257 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscriptions. Seal impressions PFATS 0272s on reverse; PFATS 0273s on flat edge.
DOI: 10.25549/jrbm-c91-657
title: Kankai ibun, vol. 6, 1807

description: Kankai ibun, [1807], volume 6 = Description and travel of circumnavigation of seas, [1807], volume 6 = 環海 異聞 六 文化 4. Volume six of a manuscript by Gentaku Ōtsuki and Kōkyō Shimura who drew from four Japanese fishermen the story of their voyage around the world during repeated interviews. The Kankai Ibun is an account of their journey when they were sent off-course en route to the capital, Edo. The fishermen were rescued by a Russian ship and taken to late 18th / early 19th century Europe and, most especially, Russia.; The cargo ship, Wakamiyamaru, left from the port of Ishimaki in Sendai-han, today’s Miyagi Prefecture, in Japan carrying rice and lumber with 16 crew members for Edo, today’s Tokyo, on November 27th, 1793. Shipwrecked and drifted in the Pacific Ocean for half a year, they finally landed in one of the islands of the Andreanof Islands, a part of the Aleutian Islands on May 10th, 1794. They were transferred to Irkutsk by Russians where they stayed until the spring of 1803. They were then called in by Alexander I of Russia to St. Petersburg where they stayed from April to June in 1803, and from where they started their journey back home. They were included in the Rezanov mission on the first Russian global circumnavigation by a ship Nadezhda. It took them 16 months to reach the port of Nagasaki, Japan in September, 1804 since they left in June, 1803. Of the sixteen, five crewmen got on board. Four returned home in Sendai; one, who had become an interpreter, returned to Russia with Rezanov.
DOI: 10.5255/ukda-sn-7022-22
title: Prices Survey Microdata, 1996-2022: Secure Access

description: The &lt;i&gt;Prices Survey Microdata&lt;/i&gt; include the underlying price data used by the Office for National Statistics (ONS) to produce the Consumer Prices Index (CPI), the Retail Prices Index (RPI) and associated price indices. The CPI has become the main domestic measure of inflation for macroeconomic purposes in the UK. Since December 2003 it has been used for the inflation target that the Bank of England is required to achieve. The RPI is the most long-standing measure of inflation in the UK, and its uses have included the indexation of pensions, state benefits and index-linked gilts. The study also includes the data underlying the Producer Prices Index.&lt;br&gt; &lt;br&gt; There are four levels of sampling for local price collection: locations/shopping areas; outlets/shops within locations; representative items/goods and services; and products and varieties (price quotes).&lt;br&gt; &lt;br&gt; There are two basic price collection methods: local and central. Local collection is used for most items; prices are obtained from outlets in about 150 locations around the country. Some 110,000 quotations are obtained by this method. Normally, collectors must visit the outlet, but prices for some items may be collected by telephone. Central collection is used for items where all the prices can be collected centrally by the ONS with no field work. These prices can be further sub-divided into two categories, depending on their subsequent use: 1) central shops, where the prices are combined with prices obtained locally, and 2) central items, where the prices are used on their own to construct centrally calculated indices. There are about 130 items for which the prices are collected centrally.&lt;br&gt; &lt;br&gt; The retail price data include the locations containing the shopping outlets from which the price quotes were obtained. These locations are intended to be broadly representative of a central shopping area and the areas where the local shopping population tend to live. The data also include the regions in which those shopping areas are located.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; The producer prices data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt; &lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the 22nd edition (June 2022),  the item Indices monthly data file has been added for March 2022, and Price Quotes monthly data files for February and March 2022, have been added to the study. &lt;br&gt;
DOI: 10.15468/dl.cpyj6u
title: Occurrence Download

description: A dataset containing 1816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.661888755476474 49.85156165835708,9.148166946205498 49.85156165835708,9.148166946205498 53.3378398490861,5.661888755476474 53.3378398490861,5.661888755476474 49.85156165835708))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aphidecta obliterata"
 ]
}

 The dataset includes 1816 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027502-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110593372
title: Persepolis Fortification Elamite Text 0213, PF 0213

description: [Text Description:] Administrative text with seals PFS 0046; PFS 0076. Aramaic gloss. ❧ [Text or Publication Number Note:] PF 0213 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impressions PFS 0046 on reverse; PFS 0076 on left edge. Aramaic gloss in ink, upper edge (one line), reverse (two lines).
DOI: 10.5255/ukda-sn-6255-2
title: International Passenger Survey, 2009
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; &lt;p&gt;The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt;&lt;br&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the sixth edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;/p&gt;
DOI: 10.5255/ukda-sn-6534-3
title: International Passenger Survey, 2010
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt; &lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the seventh edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-6846-8
title: International Passenger Survey, 2011
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt;&lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the eighth edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7087-7
title: International Passenger Survey, 2012
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt; &lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the seventh edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.25549/inscriptifact-ouc110591578
title: Persepolis Fortification Aramaic Text 257, PFAT 257

description: [Text Description:] Administrative text with seals PFATS 0272s; PFATS 0273s ❧ [Text or Publication Number Note:] PFAT 257, Bowman 257 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscriptions. Seal impressions PFATS 0272s on reverse; PFATS 0273s on flat edge.
DOI: 10.5255/ukda-sn-7380-5
title: International Passenger Survey, 2013
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt; &lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the fifth edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7534-6
title: International Passenger Survey, 2014
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt;&lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the sixth edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.5255/ukda-sn-7754-7
title: International Passenger Survey, 2015
title: International Passenger Survey, 1993-
title: IPS

description: The &lt;i&gt;International Passenger Survey&lt;/i&gt; (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.&lt;br&gt; The data cover four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.&lt;br&gt; &lt;br&gt; The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years. &lt;br&gt;&lt;br&gt;&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;&lt;p&gt;For the sixth edition (June 2022), a revised Qcontcust 2009-2019 data file was added to the study. It includes the additional sampling design variables shiftWeight, NonRespWeight, minimumsWeight, sampTrafficWeight, unsampTrafficWeight, OLD_imbalanceWeight, shiftWeightgrp, NRWeightgrp, minsWeightgrp, sampTrafficWtgrp, UnsampwgtPortgrp and UnsampwtRegiongrp. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.&lt;br&gt;&lt;/p&gt;
DOI: 10.25549/inscriptifact-ouc110593355
title: Persepolis Fortification Elamite Text 0213, PF 0213

description: [Text Description:] Administrative text with seals PFS 0046; PFS 0076. Aramaic gloss. ❧ [Text or Publication Number Note:] PF 0213 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impressions PFS 0046 on reverse; PFS 0076 on left edge. Aramaic gloss in ink, upper edge (one line), reverse (two lines).