This dataset is about books. It has 1 row and is filtered where the book is Secret casualties of World War Two : uncovering the civilian deaths from friendly fire. It features 7 columns including author, publication date, language, and book publisher.

This dataset is about book subjects. It has 3 rows and is filtered where the books is World War I : the American soldier experience. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about book subjects. It has 4 rows and is filtered where the books is Shot at dawn : executions in World War One by authority of the British Army Act. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataverse contains the Morts Pour la France (MPF) database, a database of all 1.3 million French fatalities of the Great War with a host of individual-level information. It also contains data files for département- and municipality-level military death rates.

This dataset represents the Scottish First World War Rolls of Honour, which contain listings of casualties and those who died while on active service during the War. Date range: 1914-1919 OCR quality: original OCR File types/numbers: 9,952 ALTO XML files; 9,952 image files; 64 METS files; 64 plain text files.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Fokker fighters of World War One. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Can wars breed nationalism? We argue that civilians' indirect exposure to war fatalities can trigger psychological processes that increase identification with their nation and ultimately strengthen support for nationalist parties. We test this argument in the context of the rise of the Nazi Party after World War 1. To measure localized war exposure, we machine-coded information on all 8.6 million German soldiers who were wounded or died in WW1. Our empirical strategy leverages battlefield dynamics that cause plausibly exogenous variation in the county-level casualty fatality rate---the share of dead soldiers among all casualties. We find that throughout the interwar period, electoral support for right-wing nationalist parties, including the Nazi Party, was 2.6 percentage points higher in counties with above-median casualty fatality rates. Consistent with our proposed mechanism, we find that this effect was driven by civilians rather than veterans and areas with a preexisting tradition of collective war commemoration.

Dataset title: Deaths from all causes in Western Europe by month, 1914-1918 Related publication: More, A. F. et al. (2020). The impact of a six-year climate anomaly on the ‘Spanish Flu’ Pandemic and WWI. GeoHealth, American Geophysical Union. Figures 2 and 3. Dataset source: Bunle, H. (1954). Le Mouvement naturel de la population dans le monde de 1906 à 1936. Paris, Institut national d’études démographiques, pp. 432-438. N.B. Please cite the original source if you use this dataset. N.B. Please note that Bunle did not publish mortality statistics for Belgium, Bulgaria, and several other countries for the period 1914-20 due to his inability to find reliable sources, as indicated in his footnotes and on p. 12. This dataset includes countries of western Europe with the most reliable data. Units: Thousands of deaths. Each monthly figure should be multiplied by 1000 to obtain the total deaths for a specific month. Each year is divided in 12 monthly entries, with decimals increasing by 0.083 (1/12) for each month.

This is the first attempt to record the Jewish soldiers who became casualties in the numerous Wars between the Habsburg Monarchy and Revolutionary and Napoleonic France. Jewish military service in the Austrian and Austro-Hungarian army from the mid-19th century onwards, especially during the First World War, is well known and documented. By contrast, nothing comparable has been done for the very first Jewish soldiers in modern history. The time has come to set the record straight!

The current database was compiled from the personal records of the War Archive (Kriegsarchiv) of the Austrian State Archives. At that time, the Habsburg army did not publish casualty lists other than mentioning the names of the most senior officers. To find individual Jewish soldiers who became casualties, one must identify serving Jewish soldiers in the regular musters and revision papers. Those found so far can be seen in the database Jewish Soldiers of the Habsburg Army (1788-1820), which should be used in parallel with this one. The current database offers an outtake with a separate list of Jewish soldiers who were killed, wounded, missing in action, or taken prisoner. The first version has 253 entries. These are arranged chronologically based on the date the soldier first became a casualty. The name of the battle or the action shows at the top of the table. Under each such action, up to four sub-categories are given:

1. K/KIA (Killed in Action) – Soldier killed outright in combat. Readers might be surprised how few such cases appear in the database. There are several possible reasons. Firstly, since 1781 the Habsburg manpower reports began to omit the rubric Vor Feind geblieben (left in front of the enemy) denoting soldiers killed in battle. This was part of a broader rationalisation of military records in the early days of Joseph II’s rule. Whichever was the cause of their death, all fatalities were now perceived as irrecoverable manpower wastage. Soldiers who died in service were now simply marked as gestorben. Identifying combat deaths is only possible by looking at monthly reports called Standes- und Diensttabellen. Even then, the number of combat deaths remains extraordinarily low. It appears that the Habsburg army formally recorded a soldier as ‘killed in action’ only if the body was identified. For this to happen, the army had to remain in control of the battlefield – in other words, the battle had to be won. For much of the Revolutionary and Napoleonic period, this was rarely the case on the Austrian side. It appears that most combat deaths in the period landed in the rubric as ‘missing-in-action’.

2. W/WIA (Wounded in Action) – Muster rolls did not record wounds at all. Monthly tables did so very rarely. The latter were intended primarily as financial documents to record the source of the men’s pay. When a soldier entered hospital, his pay was issued from the hospital fund whose accounts were later reimbursed by the man’s regiment. While dates of hospitalisation were meticulously recorded, the cause of hospitalisation was not mentioned. In most cases, identifying wounded soldiers can only be done indirectly. When dozens or hundreds of men from the same unit were hospitalised on the same day directly after a major battle, it can be reasonably assumed that these were combat casualties. A sure way of identifying a wounded soldier was through the medical evaluation papers (Superarbitrierungs-Liste), which were filed for men no longer fit for wartime service. These papers always mentioned combat wounds, as this was a major argument in favour of making the soldier eligible for admission into the invalids. Unfortunately, the survival rate of these documents is variable and the majority simply do not exist. This database employs two categories for wounded soldiers. When medical papers or hospitalisation date allows clear identification, a soldier is entered into the database as a certain case. When broader context allows (such as wartime service and numerous other hospitalisations from the same company on the same day, suggesting a skirmish), such men are entered as probable cases.

3. P/POW (Prisoner of War) – Unlike the previous two rubrics, the Habsburg military records usually mentioned soldiers taken prisoner (Kriegsgefangen/ In Kriegsgefangenschaft gefallen). The reason was again financial. Firstly, returning men had to be issued with backpay. Secondly, from the Third Coalition War onwards, reciprocal wartime prisoner swaps (Cartel) were discontinued, but the system remained in place to ensure that mutual settlement of accounts between two belligerent armies could happen after the war. This is not the only reason why prisoners make the largest single category in our database. For much of the Revolutionary and Napoleonic period, entire Austrian army corps were forced to surrender (for instance in Ulm in 1805). This happened so often that musters from 1806 and 1811 sometimes blankly omitted case of POWs, based on the assumption that nearly every soldier fell prisoner in the previous war. Therefore, for regiments who fought in Germany and Austerlitz in 1805, and in Bavaria and Deutsch-Wagram in 1809, one must also consult the monthly tables.

4. M/MIA (Missing in Action) – Recorded as Vor Feind vermisst or vermisst for short, this category denotes men who were missing when the battle ended. Anything could have happened to them. Some were dead (see rubric one), but others were taken prisoner, were lost, or deserted. The army recorded such missing men for the same reason as prisoners of war – to settle their backpay in future if necessary.

The total for each category of casualties is given at the bottom of the table for every war fought by the Habsburg army from 1792 to 1815. At the right hand side of the table are the grand totals for each category marked in red. At the end of every personal record are fields showing what happened to the soldier after he became a casualty. Wounded could recover or perish in hospital, while the prisoners and the missing could return. The same soldier could appear in the database more than once as he could be taken prisoner, be wounded or go missing several times. Only for those killed in action could the record be closed. For those who survived, the final fate was noted where known: discharge (including sub category), invaliding, desertion, or non-combat death. Men still in service when last mentioned in the documents are noted as ‘serves’. Whether complete or not, a detailed service record for each soldier as as I could reconstruct it from the sources is available in the database Jewish Soldiers of the Habsburg Army (1788-1820).

This dataset is about book series. It has 1 row and is filtered where the books is Jews in France during World War II. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This series contains personal descriptive data about Japanese Americans evacuated from the states of Washington, Oregon, and California to ten relocation centers operated by the War Relocation Authority during World War II in the states of California (Tule Lake and Manzanar Centers), Idaho (Minidoka Center), Utah (Central Utah Center), Colorado (Granada Center), Arizona (Colorado River and Gila River Centers), Wyoming (Heart Mountain Center), and Arkansas (Rohwer and Jerome Centers). Each record represents an individual and includes the name; relocation project and assembly center to which assigned; previous address; birthplace of parents; occupation of father; education; foreign residence; indication of military service, public assistance, pensions, and physical defects; sex and marital status; race of evacuee and spouse; year of birth; age; birthplace; indication of the holding of an alien registration number and/or Social Security number, and whether the evacuee attended Japanese language school; highest grade completed; language proficiency; occupations; and religion.

This dataset is about book series. It has 1 row and is filtered where the books is German fighter aircraft of World War II. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Abstract copyright UK Data Service and data collection copyright owner. This study looked at First World War veterans who were gassed during the War, and the effects gassing had on their health and their own perception of their health. A random sample of 103 First World War veterans was selected from 7800 war pension files. All had an award for the effects of gassing but had not suffered long-term respiratory damage. Their beliefs about their exposure to toxins and symptoms were recorded over a twenty-year period to explore whether these changed over time and whether patterns existed. Symptoms were analysed using cluster analysis and identified two groups: one with a respiratory and cardiovascular focus and a smaller group with a wider range of physical and neuropsychiatric symptoms. The constant comparative method was used to analyse qualitative data about their beliefs. This revealed convictions about the power of gas to cause long-term and irreversible physical damage. Subsequent respiratory disorders tended to be interpreted in the light of this important experience and did not provide an alternative model of recovery and repair. Main Topics: The resource deposited is a relational database representing information collected and analysed as part of the project. Anonymised data was taken from each case using a standard form which is also included as an Appendix in the documentation for this study. All subjects in the study had died, and permission was granted by the War Pensions Agency to extract anonymised information for this collection. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. Purposive selection/case studies Transcription of existing materials Compilation or synthesis of existing material

In 1934, Theodore Abel distributed the following announcement to all local headquarters of the National Socialist party (NSDAP): “400 Marks in Prizes for the Best Personal Life History of an Adherent of the Hitler Movement. Any person, regardless of sex or age, who was a member of the National Socialist party before January 1, 1933, or who was in sympathy with the movement, may participate in this contest. Contestants are to give accurate and detailed descriptions of their personal lives, particularly after the World War. Special attention should be given to accounts of family life, education, economic conditions, membership in associations, participation in the Hitler movement, and important experiences, thoughts, and feelings about events and ideas of the post-war period. (…) The contestants whose contributions are published in part or in full will receive an additional honorarium of two marks per printed page. Manuscripts will not be returned, and must be submitted on or before September 1934” (Abel 1986:3). In total, Abel received 683 life histories (biogram), forwarded to him by the Reichspropagandaministerium in Berlin. 584 of the 683 are digitally archived by the Hoover Institute. From those 584, we converted 579 to machine-readable format. The discrepancy in the number of biograms is due to archiving errors. This data package has two components: First, it provides .rtf files for 579 Nazi biograms collected by Theodore Abel in 1930s. 348 (~ 60 percent) of the biograms were type-written; the remaining biograms were hand-written. The type-written biograms were automatically converted to .rtf using the ABBYY FineReader 14 software. Every file was then corrected manually for unreadable portions, hand-written insertions, text deletions by the author or other conversion issues. The hand-written biograms were all converted manually by reading every letter and retyping it in an .rtf file. Second, a dataset collecting “meta information” on the biograms. We followed much of what was provided by Abel in terms of “demographic” characteristics of the biogram’s authors. In addition, we include information on whether the original letter was hand-written and how many words are missing and/or unreadable. Finally, the last column in the dataset includes a unique letter ID corresponding to the letters ID on the Hoover Institute website. Users will need this ID to match individual letters to this dataset. In total, the dataset contains the following information: Last name, first name, sex, date of birth, place of birth, place of residence, number of location changes, educational attainment, occupation by training, current occupation, occupation father, parental political attitudes, number of siblings, current employment status, every unemployed after 1929, ever changed occupation, ever changed place of work, marital status, denomination, NSDAP member number, year of becoming member, party/association membership before joining the NSDAP, first contact with the NSDAP, employment status at the time of joining the party, WW1 veteran, WW1 casualty, participated in military activity after the WW1, hand-written letter, number of missing words, unique letter ID.

The CenSoc WWII Army Enlistment Dataset is a cleaned and harmonized version of the National Archives and Records Administration’s Electronic Army Serial Number Merged File, ca. 1938 - 1946 (2002). It contains enlistment records for over 9 million men and women who served in the United States Army, including the Army Air Corps, Women's Army Auxiliary Corps, and Enlisted Reserve Corps. We publish links between men in the CenSoc WWII Army Enlistment Dataset, Social Security Administration mortality data, and the 1940 Census. The CenSoc Enlistment-Census-1940 file links these enlistment records to the complete 1940 Census, and may be merged with IPUMS-USA census data using the HISTID identifier variable. The CenSoc Enlistment-Numident file links enlistment records to the Berkley Unified Numident Mortality Database (BUNMD), and the CenSoc Enlistment-DMF file links enlistment records to the Social Security Death Master File. For enlistment records in the Enlistment-Numident and Enlistment-DMF datasets that have been independently and additionally linked to the 1940 Census, we include the HISTID identifier variable that can be used to merge the data with IPUMS census data.

Introduction This dataset collection is created within the context of the digitisation project ‘First-Hand Accounts of War: War Letters (1935-1950) from NIOD Digitised’, that ran over a period of three years (2020-2023) and was funded by the Mondriaan Fund, the Dutch Ministry of Health, Welfare, and Sport, and the NIOD Institute for War, Holocaust, and Genocide Studies in Amsterdam. The aim of the project was to preserve, digitize, and transcribe the NIOD’s war letters collection and to enhance access to these historical records in various ways. Creator The NIOD Institute for War, Holocaust, and Genocide Studies was founded in 1945. The NIOD is a national and international archival institution and research institute. The NIOD-researchers conduct interdisciplinary academic research into the history of wars, mass violence and genocides. The institute holds over 400 archives and collections (2500 meters) about various topics related to World War II and mass violence in the 20th century. War letters The project ‘First-Hand Accounts of War: War Letters (1935-1950) from NIOD Digitised’ digitised NIOD’s paper archival letter collection, also known as ‘247 Collectie Correspondentie’. The collection contains personal correspondence written and received in the context of the German Occupation of the Netherlands (1940-1945) and the War of Independence in Indonesia (in the late 1940s). Many people have been donating personal correspondence to NIOD since 1945 and new documents are acquired on a regular basis. The vast majority of the letters are written in Dutch and originate from the period 1935-1950. The archival collection ‘247 Collectie Correspondentie’ currently measures 14,1 meters and is divided into different inventory numbers. The collection entails a wide variety of different kinds of personal correspondence from various letter-writers. Contents The dataset ‘First-Hand Accounts of War: War Letters (1935-1950) from NIOD Digitised’ contains machine-readable data in plain text and structured file formats. The data is aimed particularly at researchers interested in the (computational or quantitative) analysis of personal correspondence (‘egodocuments’) in bulk. The dataset consists of four different folders: Handwritten Text Recognition (HTR) model ‘NIOD_WarLet_1935-1950’ The Handwritten Text Recognition (HTR) model ‘NIOD_WarLet_1935-1950’ is trained using READ COOP’s Transkribus software (PyLaia HTR). The computer model is based on ‘Ground Truth’ transcriptions of high-resolution (600 dpi) scans of handwritten correspondence. Contents: README (.txt) with URL to web page with trained public Handwritten Text Recognition (HTR)-model and online demo version (building on the READ COOP’s Transkribus server). Ground Truth War Letters Transcriptions

On the occasion of compensation negotiations of former forced-laborers, who had to work for the German war economy during the Second World War, the demand for quantitative information increased. In this context regularly published statistical censuses run by the Nazi work administration office on foreign workers are important. The Reich’s ministry of work, the state and district employment offices published statistical overviews on a regular basis. Unfortunately these publications, which are an important source e.g. for regional studies, are not completely available anymore. Therefore the underlying data only refers to foreign civil workers and their distribution to different labor market districts in September of 1944. The author emphasizes that the numbers only represent the lower boundaries of the actual total number of all foreign civil workers. There is little information on fluctuation over time; therefore the total number of civil forced laborers of a certain district cannot by derived by the given numbers. Variables: - Foreign workers and employees by sex and in total, by employment office districts Anlässlich der Entschädigungsverhandlungen der ehemaligen Zwangsarbeiter, die während des zweiten Weltkrieges für die deutsche Kriegswirtschaft arbeiten mussten, wuchs der Bedarf an quantitativen Informationen. Hierbei sind die von der nationalsozialistischen Arbeitseinsatzverwaltung regelmäßig publizierten statistischen Erhebungen über den Ausländereinsatz von Bedeutung. Das Reichsarbeitsministerium, die Landes- und die Gauarbeitsämter veröffentlichten regelmäßig statistische Übersichten. Diese Veröffentlichungen, die eine bedeutende quantitative Quelle z.B. für die Regionalforschung darstellen, sind bedauerlicherweise nicht mehr vollständig verfügbar. Daher beziehen sich die vorliegenden Daten nur auf die ausländischen Zivilarbeiter und deren Aufteilung auf die verschiedenen Arbeitsamtsbezirke zum Zeitpunkt September 1944. Der Autor betont, dass die Zahlen nur die unteren Grenzen der tatsächlichen Anzahl aller ausländischen Zivilarbeiter darstellen. Über die zeitliche Fluktuation ist wenig bekannt, so dass von der erfassten Zahl auch nicht die Gesamtzahl der Zivil- bzw. Zwangsarbeiter eines Bezirks abgeleitet werden kann. Variablen: - Ausländische Arbeiter und Angestellte nach Geschlecht und insgesamt, davon Ostarbeiter; nach Arbeitsamtbezirken. Official labor market statistics of the German Reich

This dataset is about book subjects. It has 2 rows and is filtered where the books is The US Navy in World War II. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Interned: Torrens Island, 1914-1915 In August 1914 war broke out across Europe. Within days ‘enemy subjects’ in Australia were required to register with the authorities. Most gave their ‘parole’ …Show full description##Interned: Torrens Island, 1914-1915 In August 1914 war broke out across Europe. Within days ‘enemy subjects’ in Australia were required to register with the authorities. Most gave their ‘parole’ and went on with their lives in the community, but internment started with sailors taken off enemy ships and enemy reservists, and went on to include enemy subjects suspected of ‘disloyal or unsatisfactory’ behaviour. Later, some naturalised British subjects and even natural-born British subjects were interned. In the course of the war over 6,000 enemy subjects were interned across Australia. This dataset contains information about individuals interned during the First World War from South Australia (Military District 4). Most of those interned between October 1914 and August 1915, some 400 men, were held on Torrens Island, in the Port River estuary, north-west of Adelaide. The data set also includes those from South Australia who were interned in New South Wales after Torrens Island internment camp closed in August 1915. The data was compiled by History SA staff from two archival series in the National Archives of Australia: A367 C18000 Part 1, War Internees and Deportees 1914-1919 and D2286, Nominal Roll of prisoners of war interned at Torrens Island concentration camp 1915. Data fields include: Name, Also recorded as (alternative name), Date interned, Interned (at), Nationality, Date of birth/age, Remarks, and Notes. The data has been produced by identifying individuals who appear in both series and combining information from both series into this data set, using the A367 data as the primary series. This involved interpreting the data, in particular, making an assessment of whether or not entries in the two series with similar names represent the same person. Further research may reveal some of these assessments to be inaccurate. The dataset was produced as part of research for an exhibition at the Migration Museum and the Wakefield Press publication Interned: Torrens Island, 1914-15. http://migration.historysa.com.au/events/2014/interned-torrens-island-1914-1915 http://www.wakefieldpress.com.au/product.php?productid=1201

This dataset is part of the TransWarSoldierWWII project, funded under the European Commission’s Horizon Europe program (Grant agreement ID: 101063708, DOI: 10.3030/101063708). It provides an overview of wartime letterswritten by non-German volunteers and conscripts from Belgium (BE), the Netherlands (NL), and Luxembourg (LU) who served in the Waffen-SS during World War II.

The dataset does not contain full letter texts but includes structured metadata, case study overviews, and thematic tagging, enabling researchers to analyze the letters’ historical context and content without direct access to sensitive personal writings.