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TwitterTest data for TableToolkit unit tests. TableToolkit is a web application that displays spatio-temporal coverage of a dataset on a web form that allows users to subset those data. It was developed for Santa Barbara Coastal LTER but could be extended to any project. It takes advantage of the DataManager library distributed with Metacat and the Ruby on Rails web application framework. This test dataset is one of many. This particular one contains a dataset representing a single survey site with some null values mixed into the data as NaN.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 30 verified Null locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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This dataset was created by GOPAL PAWAR 0227
Released under Apache 2.0
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Null 2 is a dataset for object detection tasks - it contains Null ZZfD annotations for 7,453 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Twitter"We are developing rotating-baseline nulling-interferometry techniques and algorithms on the single-aperture Hale and Keck telescopes at near-infrared wavelengths, aimed at the detection of faint emission close to bright stars. Our experiments are aimed at developing simple and robust nulling interferometer systems, that will be useful in the short term for unique observations of faint exozodiacal emission and exoplanets very close to nearby stars, and in the long term for refining and simplifying potential nulling-interferometer-based space missions. Here we propose significant sensitivity, stability, dispersion-reduction and statistical-analysis upgrades to our nulling interferometer systems so as to take our nulling work from the earlier ""basic physics demonstration"" phase to the ""ultimate limiting performance"" stage. Several planned upgrades to our nulling systems will enable forefront nulling capabilities at very low cost. First, we plan to improve the sensitivity of our Palomar Fiber Nuller by two orders of magnitude by replacing our current very modest detector with a much more sensitive IR camera inherited from the Palomar Testbed Interferometer. Second, we plan to improve our fringe stability through a series of upgrades. We will make use of the P3K extreme adaptive optics capability to come on line at Palomar mid-2011 to enable ~ 70 -100 nm stability between subapertures, and also extremely good fiber-coupling stability, together allowing very deep nulls to be measured. We will also upgrade our own post-adaptive optics fringe tracker and implement a novel fluctuation-tolerant fringe tracker algorithm. Third, we will further develop and test novel data reduction algorithms based on the statistics of the null-depth fluctuations to measure accurate astrophysical nulls to levels much deeper than our stabilization level would otherwise allow. Finally, we will also implement a number of dispersion reduction techniques to improve broadband operation an
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TwitterThis dataset contains the predicted prices of the asset NULL MATRIX over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## Overview
Wo Null Data is a dataset for object detection tasks - it contains Potatoes VKsV annotations for 2,591 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Blockchain data dashboard: NULL Matrix
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Null Road cross streets in Mountain View, AR.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 15 verified Null locations in Mexico with complete contact information, ratings, reviews, and location data.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by blue7red
Released under CC0: Public Domain
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Null Lane cross streets in Mill Creek, PA.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 11 verified Null locations in Italy with complete contact information, ratings, reviews, and location data.
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TwitterThis dataset contains the predicted prices of the asset null over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 82 verified Null locations in India with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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To better understand researchers' perceptions and attitudes to null results, their behaviours and experiences in sharing them, and the challenges they face in publishing them, Springer Nature surveyed 11,069 researchers in 2024. By exploring these topics, we aim to share evidence-based recommendations that can help us, as an academic community, better address and support the value of null results.This is the full survey questions and data from that analysis. Some information has been redacted to maintain anonymity of respondents.The survey data was used to inform the 2025 white paper, The state of null results white paper: Insights from 11,000 researchers on negative or inconclusive results.
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TwitterView details of Brass Lantern Import Data of Null Supplier to US with product description, price, date, quantity, major us ports, countries and more.
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TwitterThis dataset was created by Trọng tâm Nguyễn
Released under Other (specified in description)
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Null Road cross streets in Ruston, LA.
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TwitterAddressNC has been prioritized by the North Carolina Geographic Information Coordinating Council (GICC) as a critical framework dataset. The AddressNC Program runs parallel to and is derived from the North Carolina 911 Board Next Generation 911 (NG911) Program. Address data has been identified as mission critical for validation and accurate call routing within NG911 and the AddressNC Program completes a full-circle approach of address maintenance and sustainability through applied enhancements and quality control beyond 911 requirements. A primary goal of AddressNC is to continually develop and maintain quality address points on a continuous cycle through updates published in NG911. Various agencies in federal, state, and local government can benefit by applying practical applications of quality addressing in their own programs, negating the need to rely on outdated statewide addressing data and/or using paid address data sets from third party sources.
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TwitterTest data for TableToolkit unit tests. TableToolkit is a web application that displays spatio-temporal coverage of a dataset on a web form that allows users to subset those data. It was developed for Santa Barbara Coastal LTER but could be extended to any project. It takes advantage of the DataManager library distributed with Metacat and the Ruby on Rails web application framework. This test dataset is one of many. This particular one contains a dataset representing a single survey site with some null values mixed into the data as NaN.