The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of actual property tax paid on residential properties for each zip code in Wakefield, Nebraska. It's important to understand that property tax rates can vary greatly and can change yearly.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each zip code in Wakefield, Nebraska. It's important to understand that assessed property values can vary greatly and can change yearly.

This repository contains the datasets and visualizations generated in our work: "A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.’s case".

Note: the data are all contained inside the data.zip file. You need to unzip the container to get access to all the files and directories listed below.

The data (citations) gathered accompanied by their annotated characteristics are stored in data/:

"cits_features.csv": a dataset containing all the entities (rows in the CSV) which have cited the Wakefield et al. retracted article, and a set of features characterizing each citing entity (columns in the CSV). The features included are: DOI ("doi"), year of publication ("year"), the title ("title"), the venue identifier ("source_id"), the title of the venue ("source_title"), yes/no value in case the entity is retracted as well ("retracted"), the subject area ("area"), the subject category ("category"), the sections of the in-text citations ("intext_citation.section"), the value of the reference pointer ("intext_citation.pointer"), the in-text citation function ("intext_citation.intent"), the in-text citation perceived sentiment ("intext_citation.sentiment"), and a yes/no value to denote whether the in-text citation context mentions the retraction of the cited entity ("intext_citation.section.ret_mention"). Note: this dataset is licensed under a Creative Commons public domain dedication (CC0).

"cits_text.csv": this dataset stores the abstract ("abstract") and the in-text citations context ("intext_citation.context") for each citing entity identified using the DOI value ("doi"). Note: the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work.

Topic modeling

We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the topic_modeling/ directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The topic modeling results for each textual feature are separated into two different folders, abstract/ for the abstracts, and intext_cit/ for the in-text citation contexts. Both the directories contain the datasets and visualizations generated using MITAO.

References

[1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. https://doi.org/10.19245/25.05.pij.5.2.3

The table below showcases the total number of homes sold for each zip code in Wakefield, Nebraska. It's important to understand that the number of homes sold can vary greatly and can change yearly.

This is a collection of datasets and source code used for a crime prediction study based on POI locations.
[1] Crime data from data.police.uk for the following UK police forces:
-- Greater Manchester Police,
-- Merseyside Police,
-- Dorset Police,
-- West Yorkshire Police.
Time span: October 2016--September 2019.
License: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Format: CVS (zipped).
Files:
GreaterManchesterPolice.zip
MerseysidePolice.zip
Dorset Police.zip
West Yorkshire Police.zip

[2] Data extracts from OpenStreetMap made available by Geofabrik.de for
the following UK counties:
-- Greater Manchester,
-- Merseyside,
-- Dorset,
-- West Yorkshire.
Data layers: pois, pois_a, transport, transport_a.
Downloaded on: November 14, 2019.
License: Open Database License 1.0.
Format: shapefile (zipped).
Files:
greater-manchester-latest-free.shp.zip
merseyside-latest-free.shp.zip
dorset-latest-free.shp.zip
west-yorkshire-latest-free.shp.zip

[3] UK administrative boundary data from ordnancesurvey.co.uk.
Downloaded on: September 23, 2019.
License: Open Government License.
Note: Contains OS data © Crown copyright and database right 2018
Format: shapefile (zipped)
File: district_borough_unitary_region.shp.zip

[4] Administrative boundary data for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Bournemouth (Bournemouth, Christchurch and Poole District),
-- Wakefield (Wakefield District).
Obtained by extracting the corresponding districts from dataset [3] listed above.
Format: RDS.
File: adm-man-liv-bou-wak.RDS.

[5] Crime data aggregated to 300x300m grid for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Bournemouth (Bournemouth, Christchurch and Poole District),
-- Wakefield (Wakefield District).
Obtained by geographical aggregation of crime data [1] listed above, limited to the corresponding district boundaries from [3].
Format: RDS.
File: crime-grid-man-liv-bou-wak.RDS.

[6] POI data aggregated to 300x300m grid for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Wakefield (Wakefield District),
-- Bournemouth (Bournemouth, Christchurch and Poole District).
Obtained by geographical aggregation of POI data [2] listed above, limited to the corresponding district boundaries from [3].
Format: RDS.
File: poi-grid-man-liv-bou-wak.RDS.

[7] R functions for data preparation.File: crime-poi-functions-data.R.
[8] R functions for model creation and evaluation.File: crime-poi-functions-model.R.
[9] R script for data preparation.File: crime-poi-data.R.
[10] R script for model creation and evaluation.File: crime-poi-model.R.
The code assumes that:-- source code files are placed in the current working directory,-- original unprocessed data files [1-3] are placed in the data subdirectory of the current working directory,
-- the RDS subdirectory exists in the current working directory (this is where RDS files are saved),
-- the Plots subdirectory exists in the current working directory (this is where plot files are saved).
The provided RDS files [4-6] may be optionally placed in the RDS subdirectory to avoid repeating the time-consuming data preparation process -- they will be used if available or re-created from the original data otherwise (but the latter may take several hours).

A *.zip file containing four files for Worked example 17.1 from the book Deciphering Earth’s History: the Practice of Stratigraphy, which demonstrate the application of sequence slotting with palaeontological data using the CPLSlot freeware. There are two input data text files (ending in extension *.txt) of the palynological data for the two successions to be correlated, a third file (extension *.sld), which can only be read by CPLSlot, that stores information about correlation and slotting models set up when using the software, while the fourth file, an Excel file (extension *.xlsx), contains the complete workings for Worked example 17.1, and the last processing step of finalizing a correlation model not show in the worked example in the book.

The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of mortgage rates for each zip code in Wakefield, Nebraska. It's important to understand that mortgage rates can vary greatly and can change yearly.