This dataset is about countries per year in Kazakhstan. It has 64 rows. It features 4 columns: country, armed forces personnel, and individuals using the Internet.

Information about the types of eating disorders, some reasons why the military community are at risk, warning signs and how to get help. The Missouri Eating Disorders Council (MOEDC) created this document so support service members, veterans and their families.

This dataset is designed for object detection of military aircraft. The dataset encompasses 74 different military aircraft types, with some types merged as one class along with their variants.

A-10, A-400M, AG-600, AH-64, AV-8B, An-124, An-22, An-225, An-72, B-1, B-2, B-21, B-52, Be-200, C-130, C-17, C-2, C-390, C-5, CH-47, CL-415, E-2, E-7, EF-2000, F-117, F-14, F-15, F-16, F-22, F-35, F-4, F/A-18, H-6, J-10, J-20, JAS-39, JF-17, JH-7, KC-135, KF-21, KJ-600, Ka-27, Ka-52, MQ-9, Mi-24, Mi-26, Mi-28, Mig-29, Mig-31, Mirage2000, P-3, RQ-4, Rafale, SR-71, Su-24, Su-25, Su-34, Su-57, TB-001, TB-2, Tornado, Tu-160, Tu-22M, Tu-95, U-2, UH-60, US-2, V-22, Vulcan, WZ-7, XB-70, Y-20, YF-23, Z-19.

This Dataset is in YOLO8 Format consist of Images and labels in jpg and txt files respectively.

Services and Support Programs for Military Service Members and Veterans, 2012-13 (PEQIS 19), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997-98 at . PEQIS 19 (https://nces.ed.gov/peqis/) is a cross-sectional survey that collected information on the services and support programs available to students who are military service members and veterans at the institution. The study was conducted using self-administered paper-and-pencil questionnaires of a person at the postsecondary institution that is familiar with the institution programs for military service members and veterans. Key statistics produced from PEQIS 19 were services and support programs for military members and veterans.

This dataset is about countries per year in Ukraine. It has 64 rows. It features 4 columns: country, armed forces personnel, and individuals using the Internet.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

The purpose of this agreement is for SSA to verify the SSNs and other identifying information, and confirm citizenship information to the Defense Manpower Data Center (DMDC) of the Department of Defense. DMDC will use the data provided by SSA to validate the identity of individuals entering or serving in the Armed Forces and to identify potential enlistees and members of the military who are aliens or non-citizens.

This dataset represents the percentage attrition rate for the Canadian Armed Forces (CAF) Regular Force by Officers and Non-Commissioned Members from 1998 to 2022. Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication.

Est. Date of completion => 31.03.2021

Collection of various Military Tanks worldwide and their specifications. Thanks to military-today.com & wikipedia.org for providing the necessary information.

The dataset contains a collection of various military war tanks along with their specifications. If you have any suggestion to make, please contact me at antoreepjana@yahoo.in

In 2024, 61 percent of survey respondents in the United States said they had either a great deal or quite a lot of confidence in the military. This is a slight increase from the previous year, when 640percent of respondents had confidence in the U.S. military. Additionally, this is an increase of six points from 1975 levels, when only 58 percent of Americans had confidence in the military.

The Departmental Results Framework (DRF) is the strategic view of Defence’s mandate, displaying its Core Responsibilities and key performance information. It represents the corporate framework used to demonstrate plans, achievements, expenditures and performance results. This helps Canadians and parliamentarians understand what we do, what we seek to achieve, and how we will determine if we have achieved it. This dataset presents DRF 3.4 entitled “Military families are supported and resilient” and its indicator 3.4.2 entitled “% of Canadian Armed Forces members who are satisfied with the overall support their family receives from the Canadian Armed Forces”. This indicator assesses the percentage of Canadian Armed Forces (CAF) members who are satisfied with the support provided to their families from their Military Family Resource Centre(s), and other military families during relocations, deployments, and employment.

This dataset represents the number of Canadian Armed Forces (CAF) Regular Force members by rank from 1997 to 2022. Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication.

This dataset provides information on Who UK armed forces veterans lived with, including household residents by household composition and family status, Census 2021.

Child family status

Identifies whether a person is living in a family with a child and has specific categories for those who have children based on the relationship of the parent couple, those not in a family and those who are children in a family are grouped together. Categories were: • has children (in a lone parent family, married couple family, civil partnership family or cohabiting couple family) • does not have children or is a child within a family • living in a communal establishment

Dependent Child

A dependent child is a person aged 0 to 15 years in a household or a person aged 16 to 18 years who is in full-time education and lives in a family with their parent, parents, grandparent or grandparents. It does not include any person aged 16 to 18 years who has a spouse, partner or child living in the household

Ethnic group and high-level ethnic group

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: "Asian, Asian British, Asian Welsh" "Black, Black British, Black Welsh, Caribbean or African" "Mixed or Multiple" "White" "Other ethnic group"

Family

A family is a group of people who are either: • married, civil partnered or cohabiting couple with or without children (the children do not need to belong to both members of the couple) • a lone parent with children • a married, civil partnered or cohabiting couple with grandchildren but where the parents of those grandchildren are not present • a single or couple grandparent with grandchildren but where the parents of those grandchildren are not present

Family status

Denotes whether a person is considered to be in a family and the place a person holds within that family. Categories were: • not in a family • in a couple family (as a member of the couple or a dependent or non-dependent child of one or both members of the couple) • in a lone parent family (as a parent or a dependent or non-dependent child of the parent) • living in a communal establishment

Household

A household is defined as one person living alone or a group of people (not necessarily related) living at the same address who share cooking facilities and a living room or dining area. This includes all sheltered accommodation units in an establishment and all people living in caravans on any type of site that is their usual residence. A household must contain at least one person whose place of usual residence is at the address. A group of short-term residents living together is not classified as a household, and neither is a group of people at an address where only visitors are staying.

Household size

The number of people in the household. Visitors staying at an address do not count to that household’s size. Living arrangements This classification combines responses to the Census question on marital and civil partnership status with information about whether or not a person is living in a couple. This topic is only applicable to people in households. Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

UK armed forces veteran

People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

This dataset represents the intake of Officers and Non-Commissioned Members (NCMs) into the Canadian Armed Forces (CAF) Regular Force from 1997 to 2022. Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication. The Commander of Military Personnel Command (MILPERSCOM) is also appointed as the Chief of Military Personnel (CMP).

Philippines PH: Armed Forces Personnel: % of Total Labour Force data was reported at 0.378 % in 2016. This records a decrease from the previous number of 0.385 % for 2015. Philippines PH: Armed Forces Personnel: % of Total Labour Force data is updated yearly, averaging 0.440 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.566 % in 1995 and a record low of 0.378 % in 2016. Philippines PH: Armed Forces Personnel: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.; ; International Institute for Strategic Studies, The Military Balance.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

This dataset represents the total number of promotable members of the Canadian Armed Forces (CAF) Regular Force by Rank from 1997 to 2022. Military Personnel Command (MPC) supports the requirement to release accurate and timely information to Canadians, in line with the principles of Open Government. MPC has made every attempt to ensure the accuracy and reliability of the information provided. However, data contained within this report may also appear in historic, current and future reports of a similar nature where it may be represented differently, and in some cases appear to be in conflict with the current report. MPC assumes no responsibility, or liability, for any errors or omissions in the content of this publication.

This information is designed to provide service members, their families, veterans, the general public, and other concerned citizens with the most comprehensive and accurate figures available regarding diagnosed cases of TBI within the U.S. military. Information is collected from electronic medical records and analyzed by the Defense and Veterans Brain Injury Center in cooperation with the Armed Forces Health Surveillance Center. Numbers for the current year will be updated on a quarterly basis. Other data will be updated annually. At this time, the MHS is unable to provide information regarding cause of injury or location because that information is not available in most medical records. The numbers represent actual medical diagnoses of TBI within the U.S. Military. Other, larger numbers routinely reported in the media must be considered inaccurate because they do not reflect actual medical diagnoses. Many of these larger numbers are developed utilizing sources such as the Post Deployment Health Assessment (PDHA) or Post Deployment Health Reassessment (PDHRA). However, these documents are assessment tools with TBI screening questions and are not diagnostic tools.

The Departmental Results Framework (DRF) is the strategic view of Defence’s mandate, displaying its Core Responsibilities and key performance information. It represents the corporate framework used to demonstrate plans, achievements, expenditures and performance results. This helps Canadians and parliamentarians understand what we do, what we seek to achieve, and how we will determine if we have achieved it. This dataset presents DRF 3.4 entitled “Military families are supported and resilient” and its indicator 3.4.1 entitled “% of Canadian Armed Forces families who feel they meet the challenges of military life”. This indicator measures the extent to which the families of Canadian Armed Forces (CAF) members feel that programmes help them cope with the unique challenges of military life.

A collection of national resources on Military Sexual Trauma for service members, Veterans and their families.

Version 2 (18 March 2025) includes a further 356 service itineraries. In addition, 41 entries from the previous version were updated or expanded. Currently the database covers a total of 1,858 Jewish soldiers, 421 wives and 83 children.

ORIGINAL VERSION 1 (18 September 2024)

With more than 1,500 individual entries, this is the inaugural instalment of my research database collated in the framework of the Project Forgotten Soldiers: Jewish Military Experience in the Habsburg Monarchy. This is an open access database, and everyone is welcome to use it according to their own scholarly and personal interests. In 1,189 cases we have official documented records confirming the soldiers were Jewish. In another 313 entries I was able to identify likely Jewish soldiers based on circumstantial evidence cross-referencing names and places of birth, with the presence of confirmed Jewish soldiers drafted into the same units as part of the same recruitment drive. This dataset further includes evidence for 156 spouses and 47 children. While military records do mentions these, their number suggests that the Habsburg army preferred to enlist unmarried men.

The database is structured in a similar way to an official individual entry in the Habsburg military records. These were arranged in tables, with soldiers listed by seniority. Name, place and land of birth are followed by age and religion. This latter rubric allows identifying the bulk of the Jewish soldiers. Also included in the record is marital status, profession (if any), number, names and ages of children (if any), followed by a short summary text of the soldier’s service itinerary. While not always consistent in detail, these texts mention enlistment dates, transfers between units, promotions, desertions, periods as prisoner of war and military awards (if any). I have taken the material from the personal records and added several additional parameters:

The soldiers are entered into the database according to their date of enlistment. This is followed by a colour-coded table showing their years of service. To see the meaning of the different colours employed, scroll to the legend at the end of the dataset.

Following the years of service, we see the date when the soldier left service (final year in service for incomplete service records). When known, the reason the soldier left the army is given (discharge/ death/ desertion etc).

Then come the three most important columns within the table: service record, primary sources and units. At first glance, these columns have only a few letters and numbers, but bring your mouse courser onto the relevant field marked with red triangles. An additional window will then open:

a. Service Record: Shows the entire service record of the soldier arranged by date. I use original German as it appears in the archival records. If you see spelling differences with modern German – they are there for a reason.

b. Primary Sources: Provides the information on all the archival records consulted to reconstruct the service itinerary. The number in the field denotes the number of the archival cartons consulted.

c. Units: Number of units in which a soldier serves. Bringing the cursor on to the field will open their list. Most Jewish soldiers served in the line infantry (IR) and the Military Transport Corps (MFWK or MFK). However, there were also Jewish sharpshooters, cavalrymen, gunners and even a few members of the nascent Austrian Navy.

The next two columns provide entries of the soldier’s conduct and medical condition, which in Habsburg military jargon was referred to rather callously as Defekten. I note the original medical diagnoses verbatim. When possible to identify, I note the modern medical term.

General database-wide parameters are then noted in the next part of the table. Among others, it provides information on enlistment type (conscript/ volunteer?), main branches of service (such as Infantry/ Cavalry/ Artillery), and roles within the military (such as non-commissioned officers/ drummers/ medics).

Concluding this part of the table are columns covering desertions, periods as prisoner of war and awards of the army cannon cross (for veterans of 1813-14) and other military awards.

The last column provides the original German outtake rubric as to how the soldier left service. In special cases, additional service notes are provides on the right.

How to use this dataset

This depends on what you are looking for. Firstly, download the dataset on to your computer via the link provided below. It is a simple Excel file which is easy to work with. If you wish to find out whether one of your ancestors served in the Habsburg army, use a simple keyword search. Please note that in our period there was no single accepted orthography meaning that some letters were used interchangeably (for instance B/P; D/T). There were also various patronymic suffices used in different parts of the monarchy (-witz in German/ -wicz in Polish/ -vits in Hungarian). Habsburg military clerks were mostly German speakers who often recorded the name phonetically. For instance, Jankel/ Jankl/ Jacob/ Jacobus all denote the same name. A Jewish teenager who identified himself as Moische when first reporting to duty, may have stayed so in the military records for decades, even if he was already a non-commissioned officer whose subordinates referred to as Herr Corporal.

If you study the history of concrete Jewish communities, use the keyword search and the filter option to find entries in the database where this locality is mentioned. Some places like Prague and Lublin could be identified effortlessly. In other cases (and see the above point on German-speaking clerks), place names were recorded phonetically. The military authority usually stuck to official Polish names in Galicia, and Hungarian in the Lands of the Crown of St. Stephan. In reality, a Jewish recruit from Transcarpathian Ruthenia could have his place of birth recorded in Hungarian, Romanian or Rusin. When I could not identify the place in question, I marked it with italics. Do you think you identified something I could not? Excellent! Then please write me, and I will correct the entry in the next instalment of this database.

I should stress that, currently, the database is not statistically representative. I have worked chronologically, meaning that there are disproportionally more entries for Jewish soldiers from the Turkish War, the first two Coalition Wars, and the Wars of 1805 and 1809. If you look at some of my other databases (for instance, that of the 1st Line Infantry Regiment 'Kaiser'), you will find least as many Jews who served in the wars of 1813-15. I will cover these in due course. This said, using the filter option of the Excel sheet, you can already make some individual queries. For instance, did Jewish grenadiers meet the minimal height requirement to be eligible for transfer into the elite infantry? (Hint: they did not!) If you are interested in the historical study of nutritional standards, compare the height of the soldiers with their year and place of birth. In my other project, I made calculations of the average height of Habsburg soldiers and I can already reveal that Jewish conscripts were, on average, several centimetres smaller than their non-Jewish comrades drafted in the same annual intake. Whatever stereotypes said, most Jews in the Habsburg Monarchy around 1800 were very poor and the sad fact of malnutrition as a child is reflected in their height as adults.

I should stress that this is a cumulative database. ZENODO has an excellent feature allowing updated versions to supersede earlier files while retaining the same DOI (Digital Object Identifier) and metadata. As my research progresses, I plan to upload new versions of this database bi-annually. This includes not only adding new entries, but also expanding and correcting existing ones. It might well be that the service record of a soldier covered up to 1806 will be brought to a later date, possibly even to his discharge from the army. If you have not found whom you are looking for, or if you want to work with larger samples for your research, visit this page again in a few months’ time. And if you do use this database for scholarly research (by all means, please do), do not forget to cite it as you would cite any other item in your bibliography! If you are a museum professional and you want to employ material from your database to illustrate your exhibitions, you are welcome, but please cite this resource for others to learn. Links to this database will also be appreciated.