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Full Changelog: https://github.com/maehr/the-corpus-as-a-network/commits/v0.1.0-alpha If you use this dataset, please cite it using the metadata from this file.

ASReview Insights is an extension to ASReview LAB that extends the software with tools for plotting and extracting the statistical results of several performance metrics. The extension is especially useful in combination with the simulation functionality of ASReview LAB.

Diese Sicherung beinhaltet das Github Repository zur DHd-Jahreskonferenz 2022. Es enthält alle publizierten Konferenzbeiträge im TEI-XML- sowie im PDF-Format, alle publizierten Posterbeiträge im PDF-Format sowie die Metadaten zu allen Beiträgen im XML- und CSV-Format.

This Rdata file contains: 1) Spatial Points Data Frame with the Oppida -main forthills- of the central coast of Spain. SpatialPoints: coords.x1 coords.x2 [1,] 659918 4314393 [2,] 607669 4366858 [3,] 639648 4423302 [4,] 647630 4379768 [5,] 706224 4388658 [6,] 733498 4395537 [7,] 699955 4360457 [8,] 737358 4338792 [9,] 714869 4318454 Coordinate Reference System (CRS) arguments: +proj=utm +zone=30 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs 2) A Spatial Polygons Data Frame called "mar" with the seas surrounding the Iberian Peninsula with a bbox of "bbox": min max x -139371.4 1214289 y 3877956.2 5007075 Coordinate Reference System (CRS) arguments: +proj=utm +zone=30 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs 3) TSM A spatial poinst object with the coordinates of Edeta SpatialPoints: coords.x1 coords.x2 [1,] 706183.6 4388395 Coordinate Reference System (CRS) arguments: +proj=utm +zone=30 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs

This repository contains the data and code for our paper: A. Hermann, P. Gutiérrez, C. Chauvel, R. Maury, C. Liorzou, E. Willie, I. Phillip, R. Forkel, C. Rzymski, S. Bedford (in review). Artefact geochemistry demonstrates long-distance voyaging in the Polynesian Outliers.

Code for the IDSEM dataset, first version. IDSEM is an acronym for "an Invoices Database of the Spanish Electricity Market" This database contains electricity bills related to energy consumption in Spanish households. The contents of bills are automatically generated using this code. The main purpose of the dataset is for training machine learning algorithms, especially for designing new methods for extracting information from invoices. There are 86 different labels, which are related to several topics, such as the customer and marketer, the contract, energy consumption, or billing. The code relies on a set of dictionaries and template documents for generating many training and test samples. The file format of invoices is PDF and the labels are stored in JSON files. More information can be found at https://idsem.ulpgc.es/ and in the following article: [1] Javier Sánchez, Agustín Salgado, Alejandro García, and Nelson Monzón, "IDSEM, an invoices database of the Spanish electricity market", Sci. Data, (2022). Full Changelog: https://github.com/jsanchezperez/idsem/commits/v1.0.0

The Linked Archaeological Data Ontology.

This is the repository for the World Atlas of Last Interglacial Shorelines (WALIS). It contains the full database in various formats, and python scripts and Jupyter notebooks to download, query and analyse the data. It also includes links to other repositories related to WALIS. Find more information on the project and associated tools here This software is part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. ERC-StG-802414) This version of the Atlas is the one published in conjunction with the revised paper in ESSD.

ASReview Datatools is an extension to ASReview LAB that can be used for describing basic properties of a dataset (e.g., number of papers, number of inclusions, the amount of missing data and duplicates), converting file formats via the command line, and cleaning your (input) data by removing duplicate records.

For publication at The 20th Annual Workshop of the Australasian Language Technology Association (ALTA 2022).