cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-3719-1
title: International Passenger Survey, 1993
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;
 There are two versions of the IPS data for 1993, the travelpac version the simplest both in format and ease of use and the reduced version used for fuller queries but restricted in the number of variables.&lt;br&gt;
Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by ONS in Travel Trends.&lt;br&gt;
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will due to their nature be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables.
DOI: 10.3535/be8-89e-4q3
title: Mesapamea Heinicke, 1959

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/we5-el3-9yg
title: Agrochola (Leptologia) Prout, 1901

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/glp-8sg-cem
title: Caradrina (Caradrina) morpheus (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5255/ukda-sn-3782-1
title: International Passenger Survey, 1996
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;
 There are three versions of the IPS data, the travelpac version the simplest both in format and ease of use, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.&lt;br&gt;
Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by ONS in Travel Trends.&lt;br&gt;
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will due to their nature be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables.&lt;br&gt;
Main dataset - The depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset 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 years dataset are used in other years. The data comprises four files, ALCOHOL, AIRMILES, QREGTOWN and QCONTACT with four quarters per file for QREGTOWN and QCONTACT. ALCOHOL and AIRMILES cover all four quarters in one file. These can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller datasets).
DOI: 10.3535/3qk-9b2-cqk
title: Schoenobius gigantella [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/bhf-wn4-6xf
title: Xestia (Schoyenia) quieta Hübner

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/j2x-93k-sre
title: Schoenobius gigantella [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xnd-50e-463
title: Acronicta (Triaena) psi (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zlp-t3l-w7y
title: Mesapamea Heinicke, 1959

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/91m-0j4-7xf
title: Melitaea athalia von Rottemburg, 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ns1-3wp-k53
title: Polyommatus icarus (von Rottemburg, 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vc6-l4t-tqa
title: Oligia latruncula ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dtr-f8y-jey
title: Mythimna (Mythimna) conigera [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/bsr-tab-mk7
title: Caradrina (Caradrina) morpheus (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ark-r3b-rnq
title: Autographa macrogamma (Eversmann, 1842)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/sjz-1d1-sz9
title: Spilarctia lutea (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ywg-94j-2c2
title: Actinotia polyodon (Clerck, 1759)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/42r-0sw-9j3
title: Conistra (Conistra) vaccinii (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cz6-33z-bcf
title: Dasypolia (Dasypolia) templi Thunberg, 1792

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/52q-kmb-mg5
title: Xestia ashworthii subsp. Xestia ashworthii jotunensis (Schoyen, 1887)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/63v-77j-28t
title: Diacrisia sannio (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/x4v-067-yk3
title: Xestia (Schoyenia) quieta Hübner

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xqc-jqx-fz3
title: Autographa macrogamma (Eversmann, 1842)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/6ql-af2-7z3
title: Mesapamea Heinicke, 1959

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5255/ukda-sn-4157-1
title: International Passenger Survey, 1997
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;
 There are three versions of the IPS data, the travelpac version the simplest both in format and ease of use, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.&lt;br&gt;
Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by ONS in Travel Trends. &lt;br&gt;
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will due to their nature be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables. &lt;br&gt;
Main dataset - The depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset 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 years dataset are used in other years. The data comprises four files, ALCOHOL, AIRMILES, QREGTOWN and QCONTACT with four quarters per file, with the exception of ALCOHOL which covers all four quarters in one file. These can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller datasets).
DOI: 10.3535/l9z-1ts-zk6
title: Colocasia coryli (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dzm-egj-k7r
title: Orgyia (Thylacigyna) antiquoides (Hübner, 1822)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.57761/eh19-zy62
title: Gallup Confidence in Institutions Survey

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.


description: Starting in 1973, the Gallup Confidence in Institutions Survey measures the confidence level in several U.S. institutions like the Congress, Presidency, Supreme Court, Police, etc. The dataset includes responses from 1973-2025. The survey is conducted once per year.
description: The Confidence in Institutions survey leverages the same methodology as the Gallup Poll Social Series (GPSS).



Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Dynata. Gallup chooses landline respondents at random within each household based on which member had the next birthday. As of June 2023, each sample of national adults includes a minimum quota of 80% cellphone respondents and 20% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.



Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).



Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.


description: For more information about included variables, please see ***Supporting Files***.
DOI: 10.3535/9yp-6n3-wka
title: Agriades Hübner, 1819

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5255/ukda-sn-4158-1
title: International Passenger Survey, 1998
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;
 There are three versions of the IPS data, the travelpac version the simplest both in format and ease of use, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.&lt;br&gt;
&lt;br&gt;
Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by Office for National Statistics (ONS) in &lt;i&gt;Travel Trends&lt;/i&gt;.&lt;br&gt;
&lt;br&gt;
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will, due to its nature, be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables.&lt;br&gt;
&lt;br&gt;
Main dataset - the depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset 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'. For 1998 the data comprise four files, AIRMILES, ALCOHOL, QREGTOWN and QCONTACT with four quarters per file, these can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller datasets).
DOI: 10.57761/a9ad-8d48
title: Gallup Confidence in Institutions Survey

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.


description: Starting in 1973, the Gallup Confidence in Institutions Survey measures the confidence level in several U.S. institutions like the Congress, Presidency, Supreme Court, Police, etc. The dataset includes responses from 1973-2025. The survey is conducted once per year.
description: The Confidence in Institutions survey leverages the same methodology as the Gallup Poll Social Series (GPSS).



Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Dynata. Gallup chooses landline respondents at random within each household based on which member had the next birthday. As of June 2023, each sample of national adults includes a minimum quota of 80% cellphone respondents and 20% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.



Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).



Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.


description: For more information about included variables, please see ***Supporting Files***.
DOI: 10.3535/84k-1jc-eem
title: Crypsedra gemmea Treitschke, 1825

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/mx3-ykj-144
title: Ortholepis Ragonot, 1887

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/68v-d1n-jcs
title: Ochropleura plecta Linnaeus, 1761

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/r0z-511-n5g
title: Oligia latruncula ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5jf-03g-22q
title: Macrothylacia rubi (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q8j-mrh-mhz
title: Boloria Moore, 1900

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5255/ukda-sn-4159-1
title: International Passenger Survey, 1999
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;
 There are two versions of the IPS data for 1999, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.&lt;br&gt;
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and, due to their nature, will be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables.&lt;br&gt;
Main dataset - the depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset 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 years dataset are used in other years. The data covers four subject areas, AIRMILES (held as a complete year) ALCOHOL, QREGTOWN and QCONTACT (held quarterly in four files per subject area). These can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller dataset).&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
DOI: 10.3535/bsd-vyj-jtf
title: Euzophera pinguis Haworth, 1811

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5zg-1rd-2bx
title: Assara terebrella Zincken, 1818

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cyk-xaq-ptc
title: Xyleta vetusta (Hübner, 1813)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kj8-gn3-m81
title: Xyleta vetusta (Hübner, 1813)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lfh-bjh-c1j
title: Spilarctia lutea (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/743-fa0-zkj
title: Parnassius mnemosyne (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y5t-9g2-7yg
title: Thalpophila matura (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/a6v-4p4-hyn
title: Satyrium Scudder, 1876

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zt0-fxx-29c
title: Tetheella fluctuosa (Hübner, 1803)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gkm-gb4-k05
title: Alcis repandata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/49x-8fc-27t
title: Ptilodon capucina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/c76-d6h-xnr
title: Ptilodon capucina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/1wx-bxs-7mx
title: Amphipyra (Amphipyra) perflua (Fabricius, 1787)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.