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Update README sha: 4e87be468b
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@ -374,7 +374,7 @@ Economics
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* |FIXME_ICON| `INFORUM - Interindustry Forecasting at the University of Maryland <http://inforumweb.umd.edu/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Economics/INFORUM.yml>`_]
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* |OK_ICON| `DBnomics – the world's economic database - Aggregates hundreds of millions of time series [...] <https://db.nomics.world/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Economics/International-Economics-Database.yml>`_]
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* |FIXME_ICON| `DBnomics – the world's economic database - Aggregates hundreds of millions of time series [...] <https://db.nomics.world/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Economics/International-Economics-Database.yml>`_]
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* |OK_ICON| `International Trade Statistics <http://www.econostatistics.co.za/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Economics/International-Trade-Statistics.yml>`_]
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@ -786,7 +786,7 @@ Government
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* |OK_ICON| `Texas Open Data <https://data.texas.gov/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Government/Texas-Open-Data.yml>`_]
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* |OK_ICON| `The World Bank <https://openknowledge.worldbank.org/handle/10986/2124>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Government/The-World-Bank.yml>`_]
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* |FIXME_ICON| `The World Bank <https://openknowledge.worldbank.org/handle/10986/2124>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Government/The-World-Bank.yml>`_]
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* |OK_ICON| `Toronto, ON, Canada <https://open.toronto.ca/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//Government/Toronto-ON-Canada.yml>`_]
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@ -910,7 +910,7 @@ ImageProcessing
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* |OK_ICON| `CADDY Underwater Stereo-Vision Dataset of divers' hand gestures - Contains 10K stereo pair [...] <http://caddy-underwater-datasets.ge.issia.cnr.it/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//ImageProcessing/CADDY-Underwater-Stereo-Vision-Dataset-of-hand-gestures.yml>`_]
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* |OK_ICON| `Cytology Dataset – CCAgT: Images of Cervical Cells with AgNOR Stain Technique - Contains 9339 [...] <https://doi.org/10.17632/wg4bpm33hj.2>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//ImageProcessing/CCAgT.yml>`_]
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* |OK_ICON| `Cytology Dataset – CCAgT: Images of Cervical Cells with AgNOR Stain Technique - The dataset [...] <https://arquivos.ufsc.br/d/373be2177a33426a9e6c/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//ImageProcessing/CCAgT.yml>`_]
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* |FIXME_ICON| `Caltech Pedestrian Detection Benchmark <http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/>`_ [`Meta <https://github.com/awesomedata/apd-core/tree/master/core//ImageProcessing/Caltech-Pedestrian-Detection-Benchmark.yml>`_]
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