cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wa6vk6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.7908 36.69496, -120.7905 36.69521, -120.7901 36.69547, -120.7898 36.69575, -120.7895 36.69604, -120.7892 36.69634, -120.789 36.69665, -120.7887 36.69698, -120.7885 36.69731, -120.7883 36.69766, -120.7881 36.69801, -120.788 36.69837, -120.7878 36.69873, -120.7877 36.6991, -120.7876 36.69948, -120.7876 36.69985, -120.7876 36.70023, -120.7875 36.70061, -120.7876 36.70099, -120.7876 36.70137, -120.7877 36.70174, -120.7878 36.70212, -120.7879 36.70248, -120.788 36.70285, -120.7882 36.7032, -120.7884 36.70355, -120.7886 36.70389, -120.7888 36.70422, -120.7891 36.70454, -120.7893 36.70485, -120.7896 36.70515, -120.7899 36.70543, -120.7903 36.7057, -120.7906 36.70596, -120.791 36.7062, -120.7914 36.70643, -120.7918 36.70664, -120.7963 36.70889, -120.7967 36.70908, -120.7971 36.70926, -120.7975 36.70942, -120.798 36.70956, -120.7984 36.70968, -120.7989 36.70978, -120.7993 36.70986, -120.7998 36.70992, -120.8003 36.70996, -120.8008 36.70998, -120.8012 36.70998, -120.8017 36.70996, -120.8022 36.70993, -120.8027 36.70987, -120.8031 36.70979, -120.8036 36.70969, -120.804 36.70957, -120.8045 36.70943, -120.8049 36.70928, -120.8053 36.7091, -120.8057 36.70891, -120.8061 36.7087, -120.8065 36.70848, -120.8069 36.70824, -120.8072 36.70798, -120.8076 36.70771, -120.8092 36.70634, -120.8095 36.70606, -120.8098 36.70577, -120.8101 36.70546, -120.8103 36.70515, -120.8105 36.70483, -120.8107 36.70449, -120.8109 36.70415, -120.8111 36.7038, -120.8112 36.70345, -120.8114 36.70309, -120.8115 36.70272, -120.8115 36.70236, -120.8116 36.70198, -120.8116 36.70161, -120.8116 36.70124, -120.8116 36.70087, -120.8115 36.7005, -120.8115 36.70013, -120.8114 36.69976, -120.8113 36.6994, -120.8111 36.69905, -120.8109 36.6987, -120.8108 36.69835, -120.8106 36.69802, -120.8103 36.6977, -120.808 36.6946, -120.8077 36.69428, -120.8075 36.69398, -120.8072 36.69368, -120.8069 36.6934, -120.8065 36.69313, -120.8062 36.69288, -120.8058 36.69264, -120.8055 36.69242, -120.8051 36.69221, -120.8047 36.69202, -120.8043 36.69185, -120.8038 36.69169, -120.8034 36.69155, -120.803 36.69143, -120.8025 36.69133, -120.8021 36.69125, -120.8016 36.69118, -120.8011 36.69114, -120.8007 36.69111, -120.8002 36.69111, -120.7997 36.69112, -120.7993 36.69115, -120.7988 36.69121, -120.7984 36.69128, -120.7979 36.69137, -120.7975 36.69148, -120.797 36.6916, -120.7966 36.69175, -120.7962 36.69191, -120.7958 36.69209, -120.7954 36.69229, -120.795 36.6925, -120.7912 36.69473, -120.7908 36.69496))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021241-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13950403
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34894/ezgsow
title: Linked Civil Registry, Limburg, Release 2018_01

description: LINKS-Limburg_2018_01 contains life course and family reconstructions for all individuals who were born, married, or died within the province of Limburg. The dataset is based on the indexed Limburg civil certificates as provided by WieWasWie (WWW) in December 2017. 

&lt;b&gt;Before using the data it is imperative to study the documentation&lt;/b&gt;
DOI: 10.15468/dl.97r4h7
title: Occurrence Download

description: A dataset containing 8620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((149.73630872409845 -32.266357773368526,149.73630872409845 -32.23714442858741,149.8038197170878 -32.23714442858741,149.8038197170878 -32.266357773368526,149.73630872409845 -32.266357773368526))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8620 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021242-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuu9q9
title: Occurrence Download

description: A dataset containing 1846 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversidad en las propuestas para declaratoria de Áreas Protegidas en los Municipios de Dagua, Restrepo, La Cumbre y Vijes y un Grupo de Reservas Naturales de la Sociedad Civil"
 ]
}

 The dataset includes 1846 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021244-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.deh845
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.549 36.554, -120.5486 36.55389, -120.5481 36.5538, -120.5477 36.55373, -120.5472 36.55368, -120.5468 36.55365, -120.5463 36.55363, -120.5458 36.55364, -120.5454 36.55366, -120.5449 36.55371, -120.5445 36.55377, -120.544 36.55385, -120.5436 36.55395, -120.5434 36.554, -120.5432 36.55399, -120.5427 36.55397, -120.5423 36.55398, -120.5418 36.554, -120.5413 36.55404, -120.5409 36.55411, -120.5404 36.55419, -120.5399 36.55429, -120.5395 36.55441, -120.5391 36.55455, -120.5386 36.55471, -120.5382 36.55489, -120.5378 36.55508, -120.5374 36.55529, -120.537 36.55552, -120.5367 36.55576, -120.5363 36.55602, -120.536 36.55629, -120.5357 36.55657, -120.5354 36.55687, -120.5346 36.55776, -120.5343 36.55806, -120.5341 36.55838, -120.5338 36.55871, -120.5336 36.55905, -120.5334 36.5594, -120.5333 36.55975, -120.5331 36.56011, -120.533 36.56048, -120.5329 36.56085, -120.5329 36.56122, -120.5328 36.5616, -120.5328 36.56198, -120.5328 36.56235, -120.5328 36.56273, -120.5329 36.56311, -120.5332 36.56492, -120.5333 36.5653, -120.5334 36.56567, -120.5335 36.56604, -120.5337 36.5664, -120.5339 36.56676, -120.5341 36.56711, -120.5343 36.56745, -120.5345 36.56778, -120.5348 36.56809, -120.5351 36.5684, -120.5354 36.56869, -120.5357 36.56897, -120.5361 36.56924, -120.5364 36.56949, -120.5368 36.56972, -120.5372 36.56994, -120.5376 36.57014, -120.538 36.57032, -120.5385 36.57048, -120.5389 36.57063, -120.5394 36.57076, -120.5398 36.57086, -120.5403 36.57095, -120.5408 36.57102, -120.5412 36.57107, -120.5417 36.57109, -120.5422 36.5711, -120.5497 36.57105, -120.5501 36.57104, -120.5506 36.571, -120.551 36.57095, -120.5515 36.57088, -120.5519 36.57079, -120.5524 36.57068, -120.5528 36.57056, -120.5533 36.57041, -120.5537 36.57025, -120.5541 36.57007, -120.5545 36.56988, -120.5549 36.56967, -120.5552 36.56944, -120.5556 36.5692, -120.5559 36.56894, -120.5562 36.56867, -120.5565 36.56838, -120.5568 36.56809, -120.5571 36.56778, -120.5573 36.56746, -120.5576 36.56714, -120.5578 36.5668, -120.5579 36.56646, -120.5581 36.56611, -120.5582 36.56575, -120.5583 36.56539, -120.5584 36.56502, -120.5585 36.56465, -120.5585 36.56428, -120.5586 36.5639, -120.5585 36.56353, -120.5584 36.56156, -120.5584 36.56118, -120.5584 36.5608, -120.5583 36.56043, -120.5582 36.56006, -120.558 36.55969, -120.5579 36.55933, -120.5577 36.55898, -120.5575 36.55864, -120.5573 36.5583, -120.557 36.55798, -120.5568 36.55766, -120.5565 36.55736, -120.5562 36.55707, -120.5559 36.55679, -120.5555 36.55653, -120.5552 36.55628, -120.5548 36.55605, -120.5544 36.55583, -120.554 36.55563, -120.5536 36.55545, -120.5532 36.55528, -120.5527 36.55513, -120.5495 36.55412, -120.549 36.554))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021245-251120083545085/datasets/export for details.
DOI: 10.5967/fgkb-3z24
title: Continuous-Flow Synthesis of Carbohydrate Building Blocks:  D-Glucuronate Monosaccharide
DOI: 10.15468/dl.ycxkh6
title: Occurrence Download

description: A dataset containing 942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Ionopsis utricularioides"
 ]
}

 The dataset includes 942 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021246-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26301/y65f-hh13
title: Waikiki Natatorium War Memorial

description: In 2015 CyArk partnered with the National Trust for Historic Preservation and teachers from the Mid-Pacific Institute in Oahu to digitally preserve the Waikiki Natatorium War Memorial. The objective of the project was to not only digitally preserve the historic World War I memorial, but to also train educators from Mid Pacific on new technologies and raise awareness for the threatened site. Over 100 scans were taken around the perimeter of the site as well as all of the interior spaces.
description: Opened in 1927, the Waikiki Natatorium War Memorial is a public saltwater swimming pool and monument built to commemorate the 10,000 Hawaiians who served in World War I. One of the first 'living memorials' built in the United States, it was designed to have a lasting use to the people of Hawaii instead of existing as a static monument. The memorial was closed in 1979 due to neglect and has since been the subject of debate as propositions have been made to tear down the memorial.
description: LiDAR - Terrestrial
DOI: 10.15468/dl.cmc4fp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.8123 36.70386, -120.8126 36.70357, -120.8129 36.70327, -120.8131 36.70296, -120.8134 36.70263, -120.8136 36.7023, -120.8138 36.70196, -120.814 36.70161, -120.8141 36.70125, -120.8143 36.70089, -120.8144 36.70052, -120.8145 36.70015, -120.8145 36.69977, -120.8146 36.6994, -120.8146 36.69902, -120.8146 36.69864, -120.8145 36.69826, -120.8145 36.69789, -120.8144 36.69752, -120.8143 36.69715, -120.8141 36.69679, -120.814 36.69643, -120.8138 36.69608, -120.8136 36.69574, -120.8134 36.69541, -120.8131 36.69509, -120.8128 36.69478, -120.8125 36.69448, -120.8122 36.69419, -120.8098 36.69205, -120.8095 36.69177, -120.8091 36.69151, -120.8088 36.69127, -120.8084 36.69104, -120.808 36.69082, -120.8076 36.69063, -120.8071 36.69045, -120.8067 36.69029, -120.8063 36.69015, -120.8058 36.69002, -120.8054 36.68992, -120.8049 36.68984, -120.8044 36.68977, -120.804 36.68973, -120.8035 36.6897, -120.803 36.6897, -120.8025 36.68972, -120.802 36.68976, -120.8016 36.68981, -120.8011 36.68989, -120.8006 36.68999, -120.8002 36.6901, -120.7997 36.69024, -120.7993 36.69039, -120.7989 36.69057, -120.7985 36.69076, -120.7957 36.69213, -120.7953 36.69234, -120.7949 36.69256, -120.7945 36.69279, -120.7942 36.69305, -120.7939 36.69331, -120.7935 36.69359, -120.7932 36.69389, -120.793 36.69419, -120.7927 36.69451, -120.7925 36.69483, -120.7923 36.69517, -120.7921 36.69551, -120.7919 36.69586, -120.7918 36.69622, -120.7916 36.69659, -120.7915 36.69696, -120.7915 36.69733, -120.7914 36.6977, -120.7914 36.69808, -120.7914 36.69846, -120.7914 36.69883, -120.7915 36.69921, -120.7915 36.69958, -120.7916 36.69995, -120.7917 36.70032, -120.7919 36.70067, -120.7921 36.70103, -120.7922 36.70137, -120.7925 36.70171, -120.7927 36.70203, -120.7951 36.70512, -120.7953 36.70543, -120.7956 36.70573, -120.7959 36.70602, -120.7962 36.7063, -120.7965 36.70656, -120.7968 36.70681, -120.7972 36.70705, -120.7976 36.70727, -120.798 36.70748, -120.7984 36.70766, -120.7988 36.70784, -120.7992 36.70799, -120.7996 36.70813, -120.8001 36.70825, -120.8005 36.70835, -120.801 36.70843, -120.8014 36.70849, -120.8019 36.70853, -120.8024 36.70856, -120.8028 36.70856, -120.8033 36.70855, -120.8037 36.70852, -120.8042 36.70846, -120.8047 36.70839, -120.8051 36.7083, -120.8056 36.70819, -120.806 36.70807, -120.8064 36.70792, -120.8068 36.70776, -120.8072 36.70758, -120.8076 36.70739, -120.808 36.70717, -120.8084 36.70695, -120.8087 36.7067, -120.8091 36.70645, -120.812 36.70413, -120.8123 36.70386))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021247-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnfhz3
title: Occurrence Download

description: A dataset containing 15 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.continent IN ('NORTH_AMERICA', 'SOUTH_AMERICA')
 AND occurrence.countrycode IN ('US', 'PR', 'MX', 'CO', 'CR', 'EC', 'PA', 'BR', 'GP', 'BS')
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2418095 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2418095 OR CAST(occurrence.kingdomkey AS INTEGER) = 2418095 OR CAST(occurrence.phylumkey AS INTEGER) = 2418095 OR CAST(occurrence.classkey AS INTEGER) = 2418095 OR CAST(occurrence.orderkey AS INTEGER) = 2418095 OR CAST(occurrence.familykey AS INTEGER) = 2418095 OR CAST(occurrence.genuskey AS INTEGER) = 2418095 OR CAST(occurrence.specieskey AS INTEGER) = 2418095)
 AND (occurrence."year" &gt;= 2009 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 15 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021228-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ns5du5
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Dominican Republic",
 "OccurrenceStatus is Present",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 583 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021248-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjvgh9
title: Occurrence Download

description: A dataset containing 10647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((149.7547364930827 -32.199986069833976,149.7547364930827 -32.16959098317419,149.82489354613097 -32.16959098317419,149.82489354613097 -32.199986069833976,149.7547364930827 -32.199986069833976))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10647 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021249-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njmyc6
title: Occurrence Download

description: A dataset containing 2182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.60108 5.50419,-75.59949 5.55333,-75.61302 5.57472,-75.6608 5.57789,-75.69743 5.56125,-75.69026 5.51687,-75.67035 5.48596,-75.60108 5.50419))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 2182 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021250-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e227481
title: County Social Determinants of Health Data Pre-Processed to Facilitate Machine Learning/Multivariate Analysis

description: These datasets contain data from the AHRQ Social Determinants of Health (SDOH) Database (https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html), processed to facilitate machine learning/multivariate analyses focusing on the healthcare context of counties. The datasets derive from the AHRQ 2019 and 2018 county-level SDOH files. Three sets of files are provided. The first "Raw" set has the
source SDOH data with a few core pre-processing steps applied. The second, “Full”
set has variables characterizing the health and healthcare
context of counties (rather than outcomes), with further processing steps
applied to facilitate multivariate and machine learning analytics (e.g. handling of missing data, normalizing, standardizing). The third
set, labeled “Reduced”, incorporates those same data processing steps but in
addition has had a further data reduction step applied in which groups of
highly intercorrelated variables were removed and replaced with corresponding principal
component scores, one for each group. These files would be useful for investigators interested in characterizing and comparing the broad SDOH context of US counties.
description: Us counties, excluding those in overseas territories.
DOI: 10.3886/e227481v2
title: County Social Determinants of Health Data Pre-Processed to Facilitate Machine Learning/Multivariate Analysis

description: These datasets contain data from the AHRQ Social Determinants of Health (SDOH) Database (https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html), processed to facilitate machine learning/multivariate analyses focusing on the healthcare context of counties. The datasets derive from the AHRQ 2019 and 2018 county-level SDOH files. Three sets of files are provided. The first "Raw" set has the
source SDOH data with a few core pre-processing steps applied. The second, “Full”
set has variables characterizing the health and healthcare
context of counties (rather than outcomes), with further processing steps
applied to facilitate multivariate and machine learning analytics (e.g. handling of missing data, normalizing, standardizing). The third
set, labeled “Reduced”, incorporates those same data processing steps but in
addition has had a further data reduction step applied in which groups of
highly intercorrelated variables were removed and replaced with corresponding principal
component scores, one for each group. These files would be useful for investigators interested in characterizing and comparing the broad SDOH context of US counties.
description: Us counties, excluding those in overseas territories.
DOI: 10.5281/zenodo.17711786
title: MMHOI Dataset: Modeling Complex 3D Multi-Human Multi-Object Interactions

description: Introduction

The MMHOI dataset addresses the challenge of modeling real-world scenes with multiple humans and objects interacting in causal, goal-oriented, or cooperative ways. Existing 3D human-object interaction (HOI) benchmarks capture only a subset of these complex interactions. MMHOI closes this gap by providing a large-scale dataset with comprehensive 3D shape and pose annotations for every person and object, covering 78 action categories and 14 interaction-specific body parts across 12 everyday scenarios. MMHOI is designed to foster research in multi-human multi-object interactions and serves as a benchmark for next-generation HOI algorithms. All necessary data for training, validation, and testing are publicly released.

At a Glance

Unzipped Size: 173 GB

The unzipped folder contains a README.md that describes the contents of each subfolder.

Contents:



20240418_personM_personC_from4C_all_30skip_start-end: 13G

20240417_personM_personC_to3C_finish: 1.7G

20240418_personB_personC_noC1andC2_all_30_skip_start-end: 3.1G

20240412_personA_personC: 19G

20240508_personJ_personK_30_skip_start-end: 16G

20240423_personB_personC_and_C2_all__start-end: 3.3G

20240417_personM_personB_finish: 4.6G

20240508_personE_personD_all_30skip_start-end: 17G

Single20240531_personA_all_30skip_start-end: 4.2G

20240412_personA_personB: 24G

20240426_personL_personC_all_30skip_start-end: 17G

20240424_personB_personD_all_start-end: 13G

20240510_personH_personI: 16G

20240426_personB_personG_all_30skip_start-end: 7.0G

20240423_personM_personC_30_skip_all_start-end: 17G


Other Resources

The code associated with the approach will be released separately on GitHub.

Citation

If you use the MMHOI dataset in your research, please cite our contribution:



@inproceedings{cherian2021insegan,
    title={MMHOI: Modeling Complex 3D Multi-Human Multi-Object Interactions},
    author={K. Kogashi, A. Cherian, and M-Y. J. Kuo},
    booktitle={Proceedings of the Winter Conference on Applications of Computer Vision},
    year={2026}
}


License

The MMHOI dataset is released under CC-BY-SA-4.0 license.

All data:

Created by Mitsubishi Electric Research Laboratories (MERL), 2025-2026

SPDX-License-Identifier: CC-BY-SA-4.0