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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Regression-based gap-fill" (30 stories)

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Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction
Lead StoryNaturetech
Feb 17

Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSeF9YUFlaQldlNk1LRmdCMHZOMk5MUWtXSzRkQU5HVVJkd1lzNWtybkQzV3V1OEhKdHFyVnVLTlNxOFBWdkRJalR2M19Wbk55bUhiWVo2MWVBblBEOTRV?oc=5" target="_blank">Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Regression-based gap-fill"

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29 stories displayed
Regression-based gap-filling methods show air temperature reductions and wind pattern changes during the 2019 total eclipse in Chile
Naturetech

Regression-based gap-filling methods show air temperature reductions and wind pattern changes during the 2019 total eclipse in Chile

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBoeGFuSTdPdWx0c2Q4ZlpQR2w4LWVuVmExb2JZRDV4WklhVE5oMV9hN2pya1BIWk9LU2U1Mmg5My1ibEhTMGRFNTJtdWdCVEZ0TlJ1eEpqamZEU19ZUE1z?oc=5" target="_blank">Regression-based gap-filling methods show air temperature reductions and wind pattern changes during the 2019 total eclipse in Chile</a>  <font color="#6f6f6f">Nature</font>

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S ap F lower : an automated tool for sap flow data preprocessing, gap-filling, and analysis using deep learning
Wiley & Sonsgeneral

S ap F lower : an automated tool for sap flow data preprocessing, gap-filling, and analysis using deep learning

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE4yRUkxaFR1ZmRxMGFYeGRGeTdGcTMyVnhJQVZKdmxYbXozYllBeHBLQTFGU3pPXzZ3SmltcVF6RGdUUVB4bmgwc2NUMGZKdWY4R2dxRHRCT3pWWXI5d0o3SFlVUlB2aFgx?oc=5" target="_blank">S ap F lower : an automated tool for sap flow data preprocessing, gap-filling, and analysis using deep learning</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Learning Quality-Aware Representation for Multi-Person Pose Regression
The Association for the Advancement of Artificial Intelligencegeneral

Learning Quality-Aware Representation for Multi-Person Pose Regression

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE43YTlUN0xIRTBxOFl5bEl0bU1oWUZvRmNOazdVRFNJc1ZkVnNXTjJWZ2ZDS0dCNWVLeW5CemNNWUFUcFNfWGpEZmViVy1VWGxHTU9SQ25wOEQtSTVRVks0Y2JTU1k?oc=5" target="_blank">Learning Quality-Aware Representation for Multi-Person Pose Regression</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models
Naturegeneral

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BWmVwZDhFWl9DTTRyQldJT3JVNEt6aXZJLTBQOXNCZ1J6aUlRR2hjTEZaQ3I5VHJsejJBU3BacDJsWlhVR1NlYnZFcGtDcDNnOG9ad2gxeDlwTmkyeHZN?oc=5" target="_blank">Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models</a>  <font color="#6f6f6f">Nature</font>

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Missing Data in Time-Series: Machine Learning Techniques
Towards Data Sciencetech

Missing Data in Time-Series: Machine Learning Techniques

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxPbnUyUlpNRThYOU1sanNqSXBtY09PZ3gyc21xU1V0QUZ5MkNrYXFPcVhCczN0d2Z2NzJzck9BN3VwbmdLY0FiV0llOG55V1ZMOUpZelExTnotTzZWS1hNMVRqOVRaczFIZEZJSjgzTFFxLVdOcFhfU1o4aXhIVW9VbXpSaDZaTjJJbjNXZEZRMHo4MF9oUXRlT1JVSmhDeXZYbGc?oc=5" target="_blank">Missing Data in Time-Series: Machine Learning Techniques</a>  <font color="#6f6f6f">Towards Data Science</font>

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Mapping Daily Air Temperature Over the Hawaiian Islands From 1990 to 2021 via an Optimized Piecewise Linear Regression Technique
AGU Publicationstech

Mapping Daily Air Temperature Over the Hawaiian Islands From 1990 to 2021 via an Optimized Piecewise Linear Regression Technique

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE1aYUUteXJVY2NhbWFYbmZ2bjJ6bmdJeWJrU2s5eUc2amQ0WTZaUEUtbV8zbHNvMjRpY2ZVQkNBMl9ld3ZCTGJJQUxXUXg1cy1xM244UkNuc0U4SzBBbk1Zd1RPdVRPQjFrS3VYVno4UlhpTU00SWRWSw?oc=5" target="_blank">Mapping Daily Air Temperature Over the Hawaiian Islands From 1990 to 2021 via an Optimized Piecewise Linear Regression Technique</a>  <font color="#6f6f6f">AGU Publications</font>

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Concentrations and Attributable Health Burdens in China From 2005 to 2020
AGU Publicationsscience

Concentrations and Attributable Health Burdens in China From 2005 to 2020

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9KUllFYkJoM3l0aUROdTVxckw2LU5UenZlOER0X3VoT1k1MV8zb1BDbGhlZG9PODJjZGktd3JQVFptUFhXaE1RS2c4OWdCWldudGdEZWo3azdTVzhfaHN3SDB0dVNCV0J6dTJ1YjFwODJ6X0VHM2lBbQ?oc=5" target="_blank">Concentrations and Attributable Health Burdens in China From 2005 to 2020</a>  <font color="#6f6f6f">AGU Publications</font>

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Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States
Natureworld

Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ZYVk1WXdVc0FBQVREWWdwdjlEN1pjWHNmSlZqNHJGazkybFdVRW1kTE1sSlFtQ21ESlB0YWxmMjZiVFRiX0FSMl9KQThobGdubEM4VDNCRmVVVm9tYTVz?oc=5" target="_blank">Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States</a>  <font color="#6f6f6f">Nature</font>

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The weather affects air conditioner purchases to fill the energy efficiency gap
Naturetech

The weather affects air conditioner purchases to fill the energy efficiency gap

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUNURIM0pqeEZRSE1pV0NzcEJPY3lxbzhhYzVodGdveVpTTTltbGFaM3pWVlNjZC1PYUFjbGsyQUkzOVB2TVVBX1BDTzJhMDZuUkxmckVaeVhKWXpxNlVV?oc=5" target="_blank">The weather affects air conditioner purchases to fill the energy efficiency gap</a>  <font color="#6f6f6f">Nature</font>

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Eighteen years of upland grassland carbon flux data: reference datasets, processing, and gap-filling procedure
Naturegeneral

Eighteen years of upland grassland carbon flux data: reference datasets, processing, and gap-filling procedure

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE50d1pFTnlvdklXWTNURllaMVdjU2ZuODA3Rl9aTFBhbkpxcEVJMmxDaUdRTE1aQkdGUVFCbEN1WG9COGg3T0tQTW1lTW9BZnVQNEtaay1SV0VzM2pFZlZZ?oc=5" target="_blank">Eighteen years of upland grassland carbon flux data: reference datasets, processing, and gap-filling procedure</a>  <font color="#6f6f6f">Nature</font>

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Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring
Naturegeneral

Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBiS0xEWFFzTXRrSkpyQVFOR2g5V0UtYi1BczhHTG5EcENfdEVDZXZGYlFRVkg3TVBtOFB0WFFUUUlSVldWSU5zZWx0OEg1djBqV3NQMXpzVWtnVjdSWko4?oc=5" target="_blank">Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring</a>  <font color="#6f6f6f">Nature</font>

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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns
Naturegeneral

Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE94TXZSeTZTTG1kM01pT2Z6dW81dm9GQ0Z3YU4weHdYRWtoaWVOc1NJeEt6M19YWGd0UUMtTmlJOVc2aTJLWGdSMTVmcnZRUnlRQXczQmFhOGh6TGYyVWRN?oc=5" target="_blank">Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns</a>  <font color="#6f6f6f">Nature</font>

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Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping
Naturetech

Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8tY193WXRPTTZQZmhEbm41U3hxX1pmRjIydHZhZk5aa3JkOWQ1OEh5a0hzRDJ0V1k4dUU5TGh5al9VUHNWb2YwZ0JTYVAtSzhzaGZSYkFab242amxpSlNv?oc=5" target="_blank">Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping</a>  <font color="#6f6f6f">Nature</font>

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A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques
Naturetech

A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84YnJtU192XzJNMl9tSjFxZ05od1gtMjhQRjk2c3dwZHZTRm9JLTQyY182QlhILTFzaWdybWM2WHg3a1Q2RzU4YmdfZW01Ym14WndDOFYtZHpLd0ZsYVlF?oc=5" target="_blank">A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques</a>  <font color="#6f6f6f">Nature</font>

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C and granite powder filled Al 6082 composites using machine learning regression models
Naturegeneral

C and granite powder filled Al 6082 composites using machine learning regression models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9kTDJwdjREQnNvb1RqVTlsLWdzNC1UNUxJSmpkMEFNWmhwX2tOcE9HcWVuRlYwLUtCQVdwbGdTYldBU3V6c1NNbG14cGFzTmlVTjZXUFM3VEVYRlQzdms4?oc=5" target="_blank">C and granite powder filled Al 6082 composites using machine learning regression models</a>  <font color="#6f6f6f">Nature</font>

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SC-PREC4SA: A serially complete daily precipitation dataset for South America
Naturetech

SC-PREC4SA: A serially complete daily precipitation dataset for South America

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9EMGVJZTkxZHVnVFB5QlQ1NkNGSmNlOXdpcmFGMHJlU1dockNPOV9jTG82aEVpR2VSb1FLSU8zMkhfRUxCMzFIWlZsZ1JWQ1QyNkZKZ0Fwclp2d1ZLSW40?oc=5" target="_blank">SC-PREC4SA: A serially complete daily precipitation dataset for South America</a>  <font color="#6f6f6f">Nature</font>

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High resolution temperature data for ecological research and management on the Southern Ocean Islands
Naturegeneral

High resolution temperature data for ecological research and management on the Southern Ocean Islands

<a href="https://news.google.com/rss/articles/CBMiV0FVX3lxTE9yTFZORC1sLWlHSlFuVmhBLTJvdENoWm02eWRtS1NzS3VBMWtjZDlrendJaFg4bm5UbEU4Q0ZzbWprTlJ4QW5IUU81cG9PQ19YRlByS0JEMA?oc=5" target="_blank">High resolution temperature data for ecological research and management on the Southern Ocean Islands</a>  <font color="#6f6f6f">Nature</font>

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A soil temperature dataset based on random forest in the Three River Source Region
Naturegeneral

A soil temperature dataset based on random forest in the Three River Source Region

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5GY1UxTDRrdy1qTGV2VWtrMHdXWW5CNGZaWUxGX2owN3RsMzItQ29TU2pVOEwyRExZWF9fOWRYZEdMN1IzbUNkd0dSVEJIMmVoNUN6UGJwVTNjZTRqalZn?oc=5" target="_blank">A soil temperature dataset based on random forest in the Three River Source Region</a>  <font color="#6f6f6f">Nature</font>

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A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
Naturetech

A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03aUxCbFM2Wm1hbWJqS3ozbDhHYzQwUjdxeUJqb2lqamJIUGFPZGtQYWdmTWQ4cnA5QVBweVJ0aFh4QkVoemhpME5rQXNxX3h1WXdxRkt2TkdUQngzVDVR?oc=5" target="_blank">A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution</a>  <font color="#6f6f6f">Nature</font>

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Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS
Natureworld

Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80Mi1fam15UEZkSDVoYlFBMDFneE1zeEpvM24za1R3VkJfWDNLWnFuU09vRTJPMnY5ZWZFRHplOVJETmlhV1AzRjhWWllOR3lVTHV1cDk0NExVLVV2WUc4?oc=5" target="_blank">Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS</a>  <font color="#6f6f6f">Nature</font>

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Temporally dynamic carbon dioxide and methane emission factors for rewetted peatlands
Naturegeneral

Temporally dynamic carbon dioxide and methane emission factors for rewetted peatlands

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4weVRLRmsyeG54YS1BeWZjU1loTzdSVjZReDhpX2VHT0ZfVzYtdl9hLVlZeUtMbzlhazliRzdTeE1YcVZ1Y0tISi0ySm9ENEhyeWVxTHBiamlIdVd0dHYw?oc=5" target="_blank">Temporally dynamic carbon dioxide and methane emission factors for rewetted peatlands</a>  <font color="#6f6f6f">Nature</font>

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Employing machine learning for advanced gap imputation in solar power generation databases
Naturegeneral

Employing machine learning for advanced gap imputation in solar power generation databases

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSYlhlYWZ2Y0pPMHZXcm9wRDE4ZkVPSGVlUUx0enYzSTFfelBIcnVmZXJmNnk4RFJnUEJaV3EzOG5EdVVmUVVyUDRWekkzdHVESlhBRzlkVUVPMVpvNkhZ?oc=5" target="_blank">Employing machine learning for advanced gap imputation in solar power generation databases</a>  <font color="#6f6f6f">Nature</font>

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Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
Naturetech

Easy domain adaptation method for filling the species gap in deep learning-based fruit detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9TbnFNSFcxUmQ3d25RbVZaVE1oTThDN0FuSU9ZbTZHejFPQ2RBMFJIaTNjeFRYV3Q5ZVhPZ3RYRWpwRFRWOHo3THJ1elI5Vk1NVUdQZzRRTEpWVVRVVmVv?oc=5" target="_blank">Easy domain adaptation method for filling the species gap in deep learning-based fruit detection</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans
Naturegeneral

Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5MeGlvd2pGVkJ5bWg4UzZGVlZpREd0ZlkwYXZLWTYxV3VuNzA0RkRfbHFPUjB4SUx4RmtSbWNOaDM0c1RBYU4wdnFjYV91TWtLODV3NDFPeWY4Z3hTTW9N?oc=5" target="_blank">Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans</a>  <font color="#6f6f6f">Nature</font>

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Multichannel Raman Spectral Reconstruction and Fast Imaging Based on Global Weighted Linear Regression
Spectroscopy Onlinegeneral

Multichannel Raman Spectral Reconstruction and Fast Imaging Based on Global Weighted Linear Regression

<a href="https://news.google.com/rss/articles/CBMi2gFBVV95cUxNUXZmdnRHaDNjZ3V0R0dvRFFMbkFRY0ZGMGJ5c2Z3VmZYajBSczhPNFFWdFZXdE54UW50VURoUi1tQ25WM3Q0U0pCLUs3V0RGWk85MFZJbjVvdlhHRUV4R1VsNTFRc3FwN2Rnc0tpUmQyV0VRa2NBQUgzMnB1VkRMNDVaQTRXbGJGZ3Y5SktDaE51MVZkM3AtVmRkZGtjeGNsOWpEY0k5YmFEUE9VSTZLTGZZcENrUXdqdllkdk1RaHhkclV6X1FnN2IwbUtpUmpmaFQzN2dmQTdJQQ?oc=5" target="_blank">Multichannel Raman Spectral Reconstruction and Fast Imaging Based on Global Weighted Linear Regression</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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A station-based 0.1-degree daily gridded ensemble precipitation dataset for India
Naturetech

A station-based 0.1-degree daily gridded ensemble precipitation dataset for India

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ZajktZkNYS1JsWFhsQUxXZXFjWmVSakRzUmozM1ZpX1MtczkzUkhrLTlvNVYzaVFjSHBEVTFLaUNRSlA4ZU1QVlV4NUV6ams0QUpnLVRtQnV5dHYtZDg4?oc=5" target="_blank">A station-based 0.1-degree daily gridded ensemble precipitation dataset for India</a>  <font color="#6f6f6f">Nature</font>

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Filling the Eastern European gap in millennium-long temperature reconstructions
PNASworld

Filling the Eastern European gap in millennium-long temperature reconstructions

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE5qNkZlYWVxdzZQS3FtSGpST3RvUWhJTXZKZ3FoRjd6TjJqUG1LcDlmYUJLZ1B3Mmt2YWRPWWtoOXhxUS1ITHlteFpDNDd2RWpQdE4wOVltdUN4LVZK?oc=5" target="_blank">Filling the Eastern European gap in millennium-long temperature reconstructions</a>  <font color="#6f6f6f">PNAS</font>

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Missing Data in Time-Series? Machine Learning Techniques (Part 2)
Towards Data Sciencetech

Missing Data in Time-Series? Machine Learning Techniques (Part 2)

<a href="https://news.google.com/rss/articles/CBMiqwFBVV95cUxNUEtvbzRkSGZGSE02MFh4RzkydFliazd3bFA2MExFclZYMTZud21vNWVVNUt3QS11bGlWbnI4NHZTRTBDSHBxdUp4aGhKbWVUeTg2WU92RDZGZlRhN1pDNEtKQ0U5VW9URkd0SmJQM2I5Y2Rac2JVckNWbEhmWmFnWDdVczkyT3hvcGEyZENPUkVxbldIYlZrWG9hRmF2XzVLVmJ2cy02N2p3dnc?oc=5" target="_blank">Missing Data in Time-Series? Machine Learning Techniques (Part 2)</a>  <font color="#6f6f6f">Towards Data Science</font>

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A global moderate resolution dataset of gross primary production of vegetation for 2000–2016
Naturegeneral

A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

<a href="https://news.google.com/rss/articles/CBMiV0FVX3lxTE5QZUhTbHRLLThlSHIyamh5Ti1acFVyQ1ZWc1BsUjlfTHhuYno1UHRRSG5vOVFSSzlaamRoTjJqOXlpMWpSS1dpSWxXc0ozbXZ1bG9OZWVnZw?oc=5" target="_blank">A global moderate resolution dataset of gross primary production of vegetation for 2000–2016</a>  <font color="#6f6f6f">Nature</font>

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"Regression-based gap-fill" — Live Google News Trends & Headlines