Свойство:KeyDescripions

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G
Graduate (dataset) +
# "Year", # "Demographics.Total", # "Education.Major", # "Salaries.Highest", # "Salaries.Lowest", # "Salaries.Mean", # "Salaries.Median", # "Salaries.Quantity", # "Salaries.Standard Deviation", # "Demographics.Ethnicity.Asians", # "Demographics.Ethnicity.Minorities", # "Demographics.Ethnicity.Whites", # "Demographics.Gender.Females", # "Demographics.Gender.Males", # "Education.Degrees.Bachelors", # "Education.Degrees.Doctorates", # "Education.Degrees.Masters", # "Education.Degrees.Professionals", # "Employment.Employer Type.Business/Industry", # "Employment.Employer Type.Educational Institution", # "Employment.Employer Type.Government", # "Employment.Reason Working Outside Field.Career Change", # "Employment.Reason Working Outside Field.Family-related", # "Employment.Reason Working Outside Field.Job Location", # "Employment.Reason Working Outside Field.No Job Available", # "Employment.Reason Working Outside Field.Other", # "Employment.Reason Working Outside Field.Pay/Promotion", # "Employment.Reason Working Outside Field.Working Conditions", # "Employment.Reason for Not Working.Family", # "Employment.Reason for Not Working.Layoff", # "Employment.Reason for Not Working.No Job Available", # "Employment.Reason for Not Working.No need/want", # "Employment.Reason for Not Working.Student", # "Employment.Status.Employed", # "Employment.Status.Not in Labor Force", # "Employment.Status.Unemployed", # "Employment.Work Activity.Accounting/Finance/Contracts", # "Employment.Work Activity.Applied Research", # "Employment.Work Activity.Basic Research", # "Employment.Work Activity.Computer Applications", # "Employment.Work Activity.Design", # "Employment.Work Activity.Development", # "Employment.Work Activity.Human Resources", # "Employment.Work Activity.Managing/Supervising People/Projects", # "Employment.Work Activity.Other", # "Employment.Work Activity.Productions/Operations/Maintenance", # "Employment.Work Activity.Professional Service", # "Employment.Work Activity.Qualitity/Productivity Management", # "Employment.Work Activity.Sales, # Purchasing, # Marketing", # "Employment.Work Activity.Teaching"   
Graduates +
* Year - год выпуска * Education.Major - специальность * Salaries.Median - медианная зарплата * Demographics.Total - количество выпускников * Salaries.Mean * Salaries.Highest * Salaries.Lowest   +
I
Invisible College Scopus (dataset) +
# Authors # Author(s) ID # Title # Year # Source title # Volume # Issue # Art. No. # Page start # Page end # Page count # Cited by # DOI # Link # Affiliations # Authors with affiliations # Abstract # Author Keywords # Index Keywords # Molecular Sequence Numbers # Chemicals/CAS # Tradenames # Manufacturers # Funding Details # Funding Text 1 # Funding Text 2 # Funding Text 3 # Funding Text 4 # Funding Text 5 # Funding Text 6 # References # Correspondence Address # Editors # Sponsors # Publisher # Conference name # Conference date # Conference location # Conference code # ISSN # ISBN # CODEN # PubMed ID # Language of Original Document # Abbreviated Source Title # Document Type # Publication Stage # Open Access # Source # EID   +
L
Leaders & Followers (model) +
# Численность свободных агентов # Численность в группе харизматиков 1 # Численность в группе харизматиков 2   +
Letopisi 2006 (dataset) +
# "rev_timestamp" - время # "rev_user_text" - имя участника # "rev_page" - ID страницы # "rev_user" - ID участника # "page_title" - Название страницы # "rev_len" - размер страницы   +
Lobster (fish-dataset) +
# Common Name # Species # Year # Region # Latitude # Longitude # Depth   +
N
NetLogo Wealth Distribution 07122025 +
# "run number", # percent.best.land - процент лучших земель # metabolism.max (уровень метаболизма) # max.vision - способности черепах (видение) # grain.growth.interval # gini - коэффициент Джини (неравенство)   +
O
On-line masters +
# Lens ID # Date Published # Publication Year # Publication Type # Source Title # ISSNs # Publisher # Source Country # Author/s # Abstract # Volume # Issue Number # Start Page # End Page # Fields of Study # Keywords # MeSH Terms # Chemicals # Funding # Source URLs # External URL # PMID # DOI # Microsoft Academic ID # PMCID # Citing Patents Count # References # Citing Works Count # Is Open Access # Open Access License # Open Access Colour   +
P
PokemonDataset +
ID for each pokemon #: Name: Name of each pokemon; #: Type 1: Each pokemon has a type, this determines weakness/resistance to attacks; #: Type 2: Some pokemon are dual type and have 2; #: Total: sum of all stats that come after this, a general guide to how strong a pokemon is; #: HP: hit points, or health, defines how much damage a pokemon can withstand before fainting; #: Attack: the base modifier for normal attacks (eg. Scratch, Punch); #: Defense: the base damage resistance against normal attacks; #: SP Atk: special attack, the base modifier for special attacks (e.g. fire blast, bubble beam); #: SP Def: the base damage resistance against special attacks; #: Speed: determines which pokemon attacks first each round;  +
Preschool Digital Scopus +
# Authors, #Author(s) ID, #Title, #Year, #Source title, #Volume, #Issue, #Art. No., #Page start, #Page end, #Page count, #Cited by, #DOI, #Link, #Affiliations, #Authors with affiliations, #Abstract, #Author Keywords, #Index Keywords, #Document Type, #Publication Stage, #Access Type, #Source, #EID   +
Publishers (Dataset) +
1. "genre", 2. "sold by", 3. "daily average.amazon revenue", 4. "daily average.author revenue", 5. "daily average.gross sales", 6. "daily average.publisher revenue", 7. "daily average.units sold", 8. "publisher.name"  +
S
School Scores (USA dataset) +
# "Year" # "State.Code" # "State.Name" # "Total.Math" # "Total.Test-takers" # "Total.Verbal" # "Academic Subjects.Arts/Music.Average GPA" # "Academic Subjects.Arts/Music.Average Years" # "Academic Subjects.English.Average GPA" # "Academic Subjects.English.Average Years" # "Academic Subjects.Foreign Languages.Average GPA" # "Academic Subjects.Foreign Languages.Average Years" # "Academic Subjects.Mathematics.Average GPA" # "Academic Subjects.Mathematics.Average Years" # "Academic Subjects.Natural Sciences.Average GPA" # "Academic Subjects.Natural Sciences.Average Years" # "Academic Subjects.Social Sciences/History.Average GPA" # "Academic Subjects.Social Sciences/History.Average Years" # "Family Income.Between 20-40k.Math" # "Family Income.Between 20-40k.Test-takers" # "Family Income.Between 20-40k.Verbal" # "Family Income.Between 40-60k.Math" # "Family Income.Between 40-60k.Test-takers" # "Family Income.Between 40-60k.Verbal" # "Family Income.Between 60-80k.Math" # "Family Income.Between 60-80k.Test-takers" # "Family Income.Between 60-80k.Verbal" # "Family Income.Between 80-100k.Math" # "Family Income.Between 80-100k.Test-takers" # "Family Income.Between 80-100k.Verbal" # "Family Income.Less than 20k.Math" # "Family Income.Less than 20k.Test-takers" # "Family Income.Less than 20k.Verbal" # "Family Income.More than 100k.Math" # "Family Income.More than 100k.Test-takers" # "Family Income.More than 100k.Verbal" # "GPA.A minus.Math" # "GPA.A minus.Test-takers" # "GPA.A minus.Verbal" # "GPA.A plus.Math" # "GPA.A plus.Test-takers" # "GPA.A plus.Verbal" # "GPA.A.Math" # "GPA.A.Test-takers" # "GPA.A.Verbal" # "GPA.B.Math" # "GPA.B.Test-takers" # "GPA.B.Verbal" # "GPA.C.Math" # "GPA.C.Test-takers" # "GPA.C.Verbal" # "GPA.D or lower.Math" # "GPA.D or lower.Test-takers" # "GPA.D or lower.Verbal" # "GPA.No response.Math" # "GPA.No response.Test-takers" # "GPA.No response.Verbal" # "Gender.Female.Math" # "Gender.Female.Test-takers" # "Gender.Female.Verbal" # "Gender.Male.Math" # "Gender.Male.Test-takers" # "Gender.Male.Verbal" # "Score Ranges.Between 200 to 300.Math.Females" # "Score Ranges.Between 200 to 300.Math.Males" # "Score Ranges.Between 200 to 300.Math.Total" # "Score Ranges.Between 200 to 300.Verbal.Females" # "Score Ranges.Between 200 to 300.Verbal.Males" # "Score Ranges.Between 200 to 300.Verbal.Total" # "Score Ranges.Between 300 to 400.Math.Females" # "Score Ranges.Between 300 to 400.Math.Males" # "Score Ranges.Between 300 to 400.Math.Total" # "Score Ranges.Between 300 to 400.Verbal.Females" # "Score Ranges.Between 300 to 400.Verbal.Males" # "Score Ranges.Between 300 to 400.Verbal.Total" # "Score Ranges.Between 400 to 500.Math.Females" # "Score Ranges.Between 400 to 500.Math.Males" # "Score Ranges.Between 400 to 500.Math.Total" # "Score Ranges.Between 400 to 500.Verbal.Females" # "Score Ranges.Between 400 to 500.Verbal.Males" # "Score Ranges.Between 400 to 500.Verbal.Total" # "Score Ranges.Between 500 to 600.Math.Females" # "Score Ranges.Between 500 to 600.Math.Males" # "Score Ranges.Between 500 to 600.Math.Total" # "Score Ranges.Between 500 to 600.Verbal.Females" # "Score Ranges.Between 500 to 600.Verbal.Males" # "Score Ranges.Between 500 to 600.Verbal.Total" # "Score Ranges.Between 600 to 700.Math.Females" # "Score Ranges.Between 600 to 700.Math.Males" # "Score Ranges.Between 600 to 700.Math.Total" # "Score Ranges.Between 600 to 700.Verbal.Females" # "Score Ranges.Between 600 to 700.Verbal.Males" # "Score Ranges.Between 600 to 700.Verbal.Total" # "Score Ranges.Between 700 to 800.Math.Females" # "Score Ranges.Between 700 to 800.Math.Males" # "Score Ranges.Between 700 to 800.Math.Total" # "Score Ranges.Between 700 to 800.Verbal.Females" # "Score Ranges.Between 700 to 800.Verbal.Males" # "Score Ranges.Between 700 to 800.Verbal.Total"   
Scopus Games (dataset) +
# Авторы # Название # Год # Название источника, # Цитирования, # Ссылка, # Ключевые слова автора, # Ключевые слова указателя   +
ScratchWikis2026 +
* author_id * author_name, * pageid, * page_title   +
Segregation (model) +
# Процент похожих # Процент счастливых   +
T
Teacher Satisfaction (model) +
* Средняя удовлетворенность учителей (mean-satisfaction-all): меняется от 0 до 1 * Текучесть кадров (teacher-turnover-rate): доля уходящих в год * Вакансии в школах (mean-school-vacancy-rate): напряженность рынка * Неравенство удовлетворенности (satisfaction-inequality): разброс по школам * Безработица (unemployment-rate): учителя без работы   +
V
Video games (dataset) +
# "Title" - Название, #"Features.Handheld?", #"Features.Max Players" Максимальное число игроков, #"Features.Multiplatform?" - доступность на разных платформах, #"Features.Online? - можно ли играть он-лайн", #"Metadata.Genres" - Жанры игр (может быть несколько), #"Metadata.Licensed?", #"Metadata.Publishers", #"Metadata.Sequel?", #"Metrics.Review Score", #"Metrics.Sales", #"Metrics.Used Price", #"Release.Console", #"Release.Rating", #"Release.Re-release?", #"Release.Year" - Год выпуска, #"Length.All PlayStyles.Average", #"Length.All PlayStyles.Leisure", #"Length.All PlayStyles.Median", #"Length.All PlayStyles.Polled", #"Length.All PlayStyles.Rushed", #"Length.Completionists.Average", #"Length.Completionists.Leisure", #"Length.Completionists.Median", #"Length.Completionists.Polled", #"Length.Completionists.Rushed", #"Length.Main + Extras.Average", #"Length.Main + Extras.Leisure", #"Length.Main + Extras.Median", #"Length.Main + Extras.Polled", #"Length.Main + Extras.Rushed", #"Length.Main Story.Average", #"Length.Main Story.Leisure", #"Length.Main Story.Median", #"Length.Main Story.Polled", #"Length.Main Story.Rushed"   +
В
Взаимное копирование МЭШ (датасет) +
# from - ID участника, который копирует сценарий # to - ID участника, у которого копируют сценарий # subject - предмет сценария копируемого урока # date_of_action - время действия   +
Вовлеченность студентов Л2 +
# AU # AF # CR # AB # AR # BE # BN # BP # C1 # D2 # DA # DE # DI # DT # EA # EF # EI # EM # EP # ER # FU # FX # GA # ID # IS # J9 # JI # LA # NR # OA # OI # PA # PD # PG # PI # PM # PT # PU # PY # RI # RP # SC # SE # SI # SN # SO # TC # TI # U1 # U2 # UT # VL # WC # Z9 # DB # AU_UN # AU1_UN # AU_UN_NR # SR_FULL # SR   +
Вовлеченность студентов при использовании LearningApps +
LearningApps # 1.1. Поддерживает мой интерес к дисциплине # 1.2. Помогает мне сосредоточиться на содержании темы # 1.3. Улучшает мои знания # 2.1. Поддерживает мое внимание # 2.2. Автоматическая проверка результатов повышает мою самостоятельность в обучении # 2.3. Технологически простая работа # 3.1. Мне нравится работать с приложением # 3.2. Помогает мне повысить успеваемость # 3.3. Напоминает мне игру # 4.1. Поддерживает мое взаимодействие с другими студентами # 4.2. Поддерживает мое взаимодействие с преподавателем # 4.3. Поддерживает мой статус современного студента  +
Источник — http://digida.mgpu.ru/index.php?title=Свойство:KeyDescripions&oldid=6142