description: This source code is available in zipped file which includes two source files, two author's output files, a Makefile and a README.txt file. An article with further documentation titled "The Walker Alias Method for Sampling in Modern Fortran" has been submitted for publication in the Journal of Research of the National Institute of Standards and Technology. Before publication, it is available to NIST personnel through the internal manuscript system.; abstract: This source code is available in zipped file which includes two source files, two author's output files, a Makefile and a README.txt file. An article with further documentation titled "The Walker Alias Method for Sampling in Modern Fortran" has been submitted for publication in the Journal of Research of the National Institute of Standards and Technology. Before publication, it is available to NIST personnel through the internal manuscript system.

Historical price and volatility data for ALIAS in US Dollar across different time periods.

Description: All sites shown within the “PRA State Assets” layer are folios sourced from searching the PRAI database and are accurate from the date of that PRAI search. The registered owner field may have been changed to keep consistency throughout the database.The folio boundary data available on this site is derived from source data provided by the Property Registration Authority (PRA) and is subject to PRA copyright. The currency and accuracy of this data at the time of inspection cannot be guaranteed. Those wishing to ensure that folio boundary data is the most accurate and up to date available should access this information through landdirect.ie.The information shown within the “State Assets Sourced by LDA” layer depicts sites we believe to be within the ownership of the state however at the time of compiling this layer they were not registered with the PRAI. Please note the State Assets Sourced by the LDA sites have been manually sourced and drawn by the LDA and will be updated regularly. Please contact assetdatabase@lda.ie if we have shown any incorrect information or if we are missing State-owned assets within these layers.https://creativecommons.org/licenses/by/4.0/

This data set includes a row for each alias by which Title Agencies and Title Direct Operations are known or recognized.

Historical price and volatility data for US Dollar in ALIAS across different time periods.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This data set includes a row for each alias by which Title Agencies and Title Direct Operations are known or recognized.

Check out the City Landmarks Feedback Tool to give feedback on existing landmarks and submit missing landmarks of cultural, historical or environmental importance to your neighborhood for use in city maps. The City of Philadelphia's Office of Innovation and Technology continuously updates landmark features on the City's basemap for use in atlas.phila.gov, openmaps.phila.gov, and other city mapping tools.View metadata for key information about this dataset.The City Landmarks datasets are an inventory of cultural landmarks found within the borders of the City of Philadelphia. This data is used to populate the City’s basemap. The Landmark Alias table contains Alias names for the Landmark Poly and Landmark Point features. This needs to be related back to either feature using the Unique IDs.See also the related datasets:City Landmarks (Points)City Landmarks (Polygons)For questions about this dataset or for technical assistance, email maps@phila.gov.

Alternate addressing annotation

Table to display street names which have aliased street names associated with them.

Latent Diffusion Models (LDMs) are known to have an unstable generation process, where even small perturbations or shifts in the input noise can lead to significantly different outputs. This hinders their applicability in applications requiring consistent results. In this work, we redesign LDMs to enhance consistency by making them shift-equivariant. While introducing anti-aliasing operations can partially improve shift-equivariance, significant aliasing and inconsistency persist due to the unique challenges in LDMs, including 1) aliasing amplification during VAE training and multiple U-Net inferences, and 2) self-attention modules that inherently lack shift-equivariance. To address these issues, we redesign the attention modules to be shift-equivariant and propose an equivariance loss that effectively suppresses the frequency bandwidth of the features in the continuous domain. The resulting alias-free LDM (AF-LDM) achieves strong shift-equivariance and is also robust to irregular warping. Extensive experiments demonstrate that AF-LDM produces significantly more consistent results than vanilla LDM across various applications, including video editing and image-to-image translation. Code is available at: https://github.com/SingleZombie/AFLDM

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A table of alternate street names to be used with the Dauphin County street data.

This dataset provides information about the number of properties, residents, and average property values for Alias Smith Drive cross streets in Henderson, NV.

View metadata for key information about this dataset.For questions about this dataset, contact max.steinbrenner@phila.gov. For technical assistance, email maps@phila.gov.

Customs records of Bulgar are available for ALIAS S.P.A.. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Klohn-Crippen Consultants Ltd. was retained by the Fisheries Branch of the Ministry of Environment, Lands and Parks in Smithers, British Columbia, to conduct a reconnaissance survey of Jack Mould Lake (alias - Watershed Code unknown) which lies within the Bulkley River watershed. This lake, which is located 22.5 km west by northwest of Smithers near Kitseguecla Lake, was surveyed on September16 and 17, 1996. There is trail access to the lake from the nearby 6100 Forestry Service road.

ABSTRACT:This dataset is used by the City as a log of datasets that have been published under the City’s open data policy, or are currently in the review process for potential publication. The dataset assists Dataset Managers, Data Architects and the Data Governance Working Group with monitoring updates, and may be useful to the public as a quick reference for the status of any datasets of interest. This dataset includes information gathered from the form developed by the Data Governance Working Group to consider datasets for publication. The dataset identifies roles for responsible parties, dates for significant actions, as well as the minimum refresh increment required for each approved dataset. It is a tabular dataset and is not associated with any geographical locations. The dataset is updated by the Chair or Co-Chair of the Data Governance Working Group following each meeting (typically monthly). DATA LAST UPDATED:December 5, 2018FIELD DESCRIPTIONS:DATANAME - Alias: Dataset Name - A descriptive name of the type of data contained within a dataset.REQUESTOR - Alias: Requestor - The party initiating the request for publication of a particular dataset.DEPARTMENT - Alias: Department - The City Department under which the dataset is maintained.DATACOORD - Alias: Data Coordinator - The individual designated by the Department to act as the liaison with the DG Working Group, Data Architect, Records Coordinator, Requestors and Dataset Managers on behalf of the Department on all matters related to the implementation of the Victorville Open Data Policy.DATAARCH - Alias: Data Architect - The individual assigned to oversee system integration between departmental data sources and the open data portal, facilitate availability of current and accurate published data, and review of datasets relative to technical/technology matters outlined in the Victorville Open Data Policy.DATAMNGER - Alias: Dataset Manager - The staff member within a department who is most familiar with a particular dataset will act as the primary data custodian and the point of contact for questions regarding the data within that dataset.DATEREQ - Alias: Request Date - The date the Open Data Review & Approval form was submitted to the chair or co-chair of the Data Governance Working Group.DATEAPPR - Alias: Approval Date - The date the Data Governance Working Group reviewed the Open Data Review & Approval form and approved the Data Architect and Dataset Manager to proceed with publication.ESTPUBDATE - Alias: Estimated Publication Date - The date by which the Data Governance Working Group anticipates the dataset will be published on the Open Data Portal.ORGPUBDATE - Alias: Original Publication Date - Original Publication Date.MINREFRESH - Alias: Minimum Refresh Increment - The minimum increment the Data Governance Working Group requires the dataset to be reviewed and refreshed.LASTREFRESH - Alias: Last Refresh Date - The date the dataset was last reviewed or updated (if applicable).NOTES - Alias: Notes - Miscellaneous information regarding the status of a dataset.

The Atmosphere and Ocean non-tidal De-aliasing Level-1B (AOD1B) product is widely used in satellite gravimetry to correct for transient effects of atmosphere-ocean mass variability that would otherwise alias into monthly-mean global gravity fields. The most recent release is based on the global ERA5 reanalysis and ECMWF operational data together with simulations from the general ocean circulation model MPIOM consistently forced with fields of the same atmospheric data-set. As background models are inevitably imperfect, residual errors due to aliasing remain. Accounting for the uncertainties of the background model data has, however, proven to be a useful approach to mitigate the impact of residual aliasing. In light of the changes made in the new release of AOD1B, previous uncertainty assessments are deemed too pessimistic and have been revised in the new time-series of true errors: AOe07. One possible way to include the uncertainty information of background models in gravity field estimation or simulation studies is through the computation and application of a variance-covariance matrix that describes the spatio-temporal error characteristics of the background model. The AOe07 variance-covariance-matrix provides this information through (1) a fully populated matrix up to degree and order 40 as well as (2) a diagonal matrix up to degree and order 180.

This dataset is about book series. It has 2 rows and is filtered where the books is Alias. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.