The Pinterest Fashion Compatibility dataset comprises images showcasing fashion products, each annotated with bounding boxes and associated with links directing to the corresponding products. This dataset facilitates the exploration of scene-based complementary product recommendation, aiming to complete the look presented in each scene by recommending compatible fashion items.

Basic Statistics: - Scenes: 47,739 - Products: 38,111 - Scene-Product Pairs: 93,274

Metadata: - Product IDs: Identifiers for the products featured in the images. - Bounding Boxes: Coordinates specifying the location of each product within the image.

Example (fashion.json): The dataset contains JSON entries where each entry associates a product with a scene, along with the bounding box coordinates for the product within the scene. json { "product": "0027e30879ce3d87f82f699f148bff7e", "scene": "cdab9160072dd1800038227960ff6467", "bbox": [ 0.434097, 0.859363, 0.560254, 1.0 ] }

Citation: If you utilize this dataset, please cite the following paper: Title: Complete the Look: Scene-based complementary product recommendation Authors: Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley Published in: CVPR, 2019 Link to paper

Code and Additional Resources: For additional resources, sample code, and instructions on how to collect the product images from Pinterest, you can visit the GitHub repository.

This dataset provides a rich ground for research and development in the domain of fashion-based image recognition, product recommendation, and the exploration of fashion styles and trends through machine learning and computer vision techniques.

Replication kit for [ASE 2025] In a Dataspace Far, Far Away: Measuring the 'Distance' of Incompatible ML-Enabled System Data Pairs

Light Rail, Larger, and Medium Corridors with relaxed compatibility regulations and reduced parking minimums per Ordinance No. 20221201-056.

This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products.

Metadata includes

• product IDs

• bounding boxes

Basic Statistics:

• Scenes: 47,739

• Products: 38,111

• Scene-Product Pairs: 93,274

This is the basic data used to calculate the compatibility scores for all 70 UN peace operations, as reported in the book When Peacekeeping Missions Collide. In addition, there is a summary table of the scores on the 3 compatibility indicators for each of the 70 operations.

This dataset provides information about the number of properties, residents, and average property values for Compatibility Court cross streets in North Las Vegas, NV.

Together with colleagues from Conservatoire National des Arts et Métiers (CNAM), European Organization for Nuclear Research (CERN), and School of Management and Engineering Vaud (HEIG-VD), we evaluated the compatibility among network adjustment software packages. A detailed description of the procedure and the results was presented at the 5th Joint International Symposium on Deformation Monitoring JISDM 2022.

We compared the results of several geodetic networks using software packages developed by the authors' institutions, namely Compensation de Mesures Topographiques (CoMeT), Logiciel Général de Compensation (LGC), Trinet+ as well as JAG3D. Moreover, we included further commercial software packages such as Columbus, Geolab, Move3 and Star*Net. The networks differ mainly in their extent, i.e. the side length and the height. Whereas the smallest network is about 30 m, the largest network under consideration is about 40 km. The height component varies in a range from 30 m to 2.5 km. The raw data and the obtained results can be found on the official CNAM website comet.esgt.cnam.fr/comparisons. This data set contains the raw data, the JAG3D database as well as the adjustment results.

This file provides code to replicate figures from the paper using publicly available data from four papers, where each of these papers provides experimental data useful for examining the behavioral compatibility of common elicitation incentives:Theo Offerman, Joep Sonnemans, Gijs Van De Kuilen, Peter P. Wakker, "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes," Review of Economic Studies, Volume 76, Issue 4, October 2009, Pages 1461–1489 (https://doi.org/10.1111/j.1467-937X.2009.00557.x)Tanjim Hossain, Ryo Okui, "The Binarized Scoring Rule," Review of Economic Studies, Volume 80, Issue 3, July 2013, Pages 984–1001 (https://doi.org/10.1093/restud/rdt006)Nisvan Erkal, Lata Gangadharan, Boon Han Koh, "Replication: Belief elicitation with quadratic and binarized scoring rules," Journal of Economic Psychology, Volume 81, 2020 (https://doi.org/10.1016/j.joep.2020.102315)David Danz, Lise Vesterlund, and Alistair J. Wilson. 2022. "Belief Elicitation and Behavioral Incentive Compatibility." American Economic Review, 112 (9): 2851–83. (https://doi.org/10.1257/aer.20201248, replication package: https://doi.org/10.3886/E157161V1)The replication package requires the replicator to download four zip archives from the Journal pages/OpenICPSR, and guides the assembly of a meta-study dataset, from which the paper's five figures are constructed.

43 Active Global Compatible buyers list and Global Compatible importers directory compiled from actual Global import shipments of Compatible.

This replication package includes all the data and code needed to reproduce results reported in the manuscript, along with a log file and various tables and spreadsheets outputted from executing the code.

This single raster dataset has five different bands, one band for each of the five Bioclim models computed, based on different subsets of the available CRB occurrence data including: 1) all available global data (excluding Hawaii); 2) only occurrences within CRB's native range; 3) only occurrences in the species non-native range (excluding Hawaii); 4) only occurrences in the species insular non-native range (excluding Hawaii).; and 5) only occurrences collected in Hawaii by the CRB response team. Detailed methods for each model are described in the associated xml metadata file.

DATA_host_compatibilityDATA_host_availabilityDATA_geneticsDATA_morphometry

Spreadsheet contains the effect sizes and moderator codes used in the meta-analysis.

This dataset contains reproduction material for the paper "A new T-compatibility condition and its application to the discretization of the damped time-harmonic Galbrun’s equation". The dataset contains Python files used to produce the results in the paper a docker image with the required software pre-installed. To run the python files outside the docker a running installation of NGSolve is required. They are tested with NGSolve@v6.2.2305. All the required software and python files are pre-installed and ready to run in the docker image. Start the docker using docker load < ./galbrun_docker.tar.gz docker run -it galbrun /bin/bash

Enalapril maleate was studied in various binary mixtures containing excipients. The chemical stability was measured over time using HPLC.

Feature count data for Love et al. 2019 analysis used in the "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper. For reproducing the analyses and figures using the ec-dtu-paper code.

Contains:

Equivalence class count matrix for all 24 samples (using counts from Salmon)

Salmon quantification results for all 24 samples

Exon counts for all 24 samples using DEXSeq-count

These data are composed of (i) a dataset on tree species compatibility for light depending on the ecological region in France (sylvoecoregion) and (ii) figures providing a vizualisation of this dataset per region (sylvoecoregion) and species pair. These data were generated during the PhD of Matthieu Combaud. English (2024-10-06)

Part 150 Airport Noise Compatibility Planning

This document contains 7 Compatibility Determinations (CDs) related to public use on Mountain Longleaf NWR. Uses include: fishing, environmental education and interpretation, bicycling, horseback riding, hunting, wildlife observation and photography, and wild food gathering.

These data are composed of (i) a dataset on tree species compatibility for light depending on the ecological region in France (sylvoecoregion) and (ii) figures providing a vizualisation of this dataset per region (sylvoecoregion) and species pair. These data were generated during the PhD of Matthieu Combaud. English (2024-10-06)