16151 Global import shipment records of Pat with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The cooperative tagging center (CTC) began deploying electronic tags in 2002. To date over 300 tags have been deployed. The following species have been monitored: bluefin tuna, yellowfin tuna, bigeye tuna, swordfish, blue marlin, white marlin, roundscale spearfish, longbill spearfish, sailfish, black marlin, blue shark, and escolar.

6318 Global import shipment records of Pat with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

PatCID is a chemical-structure database automatically created from images in patent documents. It contains 13M unique molecules, 80M molecule images, and 1.2M annotated documents from the United States (USPTO), Europe (EPO), Japan (JPO), Korea (KIPO), and China (CNIPA).

Leveraging state-of-the-art document understanding models, PatCID enables accurate document and molecule retrieval in patents.

Examples of how to use PatCID can be found on the PatCID GitHub repository

There are manual measurements of well construction, hydraulic, and chemical data for several wells from the Stringfellow Superfund site, Jurupa Valley, California. The hydraulic data includes hydraulic head. Chemical data includes physiocochemical data. Physiocochemical profiles of the well water column were done under ambient and post pumped conditions. There are also continuous measurements of hydraulic head, and the monitoring of the presence of tracers (rhodamine, fluorescein, and brilliant blue dye).

This dataset contains the predicted prices of the asset Pat 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.

Comprehensive dataset containing 28 verified Pat's Place locations in United States with complete contact information, ratings, reviews, and location data.

PATCIT: A Comprehensive Dataset of Patent Citations [Website, Newsletter, GitHub]

Patents are at the crossroads of many innovation nodes: science, industry, products, competition, etc. Such interactions can be identified through citations in a broad sense.

It is now common to use front-page patent citations to study some aspects of the innovation system. However, there is much more buried in the Non Patent Literature (NPL) citations and in the patent text itself.

Good news: Natural Language Processing (NLP) tools now enable social scientists to excavate and structure this long hidden information. That's the purpose of this project

IN PRACTICE

A detailed presentation of the current state of the project is available in our March 2020 presentation.

So far, we have:

1. classified the 40 million NPL citations reported in the DOCDB database in 9 distinct research oriented classes with a 90% accuracy rate.

2. parsed and consolidated the 27 million NPL citations classified as bibliographical references.

3. extracted, parsed and consolidated in-text bibliographical references and patent citations from the body of all time USPTO patents.

The latest version of the dataset is the v0.15. It is made of the v0.1 of the US contextual citations dataset and v0.2 of the front-page NPL citations dataset.

Give it a try! The dataset is publicly available on Google Cloud BigQuery, just click here.

FEATURES

Open

• The code is licensed under MIT-2 and the dataset is licensed under CC4. Two highly permissive licenses.
• The project is thought to be dynamically improved by and for the community. Anyone should feel free to open discussions, raise issues, request features and contribute to the project.

Comprehensive

• We address worldwide patents, as long as the data is available.
• We address all classes of citations, not only bibliographical references.
• We address front-page and in-text citations.

Highest standards

• We use and implement state-of-the art machine learning solutions.
• We take great care to implement only the most efficient solutions. We believe that computational resources should be used sparsely, for both environmental sustainability and long term financial sustainability of the project.

Global trade data of Pat under 846799, 846799 global trade data, trade data of Pat from 80+ Countries.

Comprehensive dataset containing 39 verified PAT locations in South Korea with complete contact information, ratings, reviews, and location data.

11 Global import shipment records of Pat with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Find details of Pat Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

The Procurement Analysis Tool (PAT) was developed at NREL to help organizations explore renewable energy options that align with their goals. Users input facility data and answer goal-oriented questions. PAT analyzes this information to identify potential wind, solar, or storage resources and suitable procurement options (PPA, Green Tariffs) that align with their budget, location, and sustainability goals. For more information see the "Procurement Analysis Tool" resource below.

The Renewable Electricity Procurement Options Data (RE-POD) was an aggregated dataset meant to help local jurisdictions and utility customers within those jurisdictions understand the options that may be available to them to procure renewable electricity or renewable energy credits to meet energy goals. RE-POD has been discontinued and replaced with the PAT.

This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

Non-traditional data signals from social media and employment platforms for PAT.PA stock analysis

This dataset provides information about the number of properties, residents, and average property values for Pat Court cross streets in Cincinnati, OH.

This dataset provides information about the number of properties, residents, and average property values for Pat Street cross streets in Winslow, ME.

United States NI: sa: CP: PBT: PAT: Undistributed Profits data was reported at 287.800 USD bn in Mar 2009. This records an increase from the previous number of 122.900 USD bn for Dec 2008. United States NI: sa: CP: PBT: PAT: Undistributed Profits data is updated quarterly, averaging 61.200 USD bn from Mar 1947 (Median) to Mar 2009, with 249 observations. The data reached an all-time high of 736.400 USD bn in Jun 2006 and a record low of 8.600 USD bn in Dec 1953. United States NI: sa: CP: PBT: PAT: Undistributed Profits data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A180: NIPA 2003: National Income.

This dataset provides information about the number of properties, residents, and average property values for Pat Lane cross streets in Tyler, TX.

This dataset provides information about the number of properties, residents, and average property values for Pat Kennedy Way cross streets in Tumwater, WA.

This dataset provides information about the number of properties, residents, and average property values for Pat Lane cross streets in Huntingtown, MD.