Find research datasets worth reusing

opencc-by-4.0Jun 2022View details →

Data repository - Land use change and carbon emissions of a transformation to timber cities

Data and model source code for the publication: Land use change and carbon emissions of a transformation to timber cities (Nature Communications, 2022) DOI: 10.1038/s41467-022-32244-w Abhijeet Mishra1,2,*, Florian Humpenöder1, Galina Churkina1, Christopher P.O. Reyer1, Felicitas Beier1,2, Benjamin Leon Bodirsky1, Hans Joachim Schellnhuber1, Hermann Lotze-Campen1,2, and Alexander Popp1 1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6 Potsdam, Germany 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8 Germany Abhijeet Mishra *mishra@pik-potsdam.de May 2022 See README.txt for further details.

opencc-by-4.0Jul 2022View details →

Guaranteed Publisher/Subscriber Anonymity with Interest Profiles for Smart Cities Applications: Trends and Gaps

Studies carried out in the context of anonymous Publisher/Subscriber (MQTT protocol) and with a profile of interest, are topics that the literature and the IoT (Internet of Things) industry face to implement models, architecture and architectural patterns, mainly related to anonymity, and the profile of interest there is nothing in literature or industry. In this way, the creation of an architecture based on these themes can facilitate the communication of IoT devices in smart cities. Therefore, this article aims to identify in the literature/industry how to guarantee the anonymity of Publisher/Subscriber with interest profiles using the MQTT protocol, and as future works to create an architecture based on the theme so that it can be used by academia and industry. IoT. The search string returned 291 (Two hundred and Ninety-One) works, of which 4 (Four) were selected according to the criteria of the Systematic Literature Review.

U.S. cities increasingly integrate justice into climate planning and create policy tools for climate justice (Diezmartínez & Short Gianotti, 2022) - Data and code

This repository contains datasets and coding corresponding to the journal article titled "U.S. cities increasingly integrate justice into climate planning and create policy tools for climate justice". We include: <ul> <li>DataRegressionAnalysis.csv <ul> <li>CSV file with data used for regression analysis. This file can be used directly to run R code provided in this repository.</li> </ul> </li> <li>QualitativeCodingResults.nvp <ul> <li>NVivo project with all results for the qualitative coding of urban climate action plans.</li> <li>This file also contains all climate action plans analyzed in this research.</li> </ul> </li> <li>QualitativeCodingResults_Summary.xlsx <ul> <li>Excel file with a results summary for the qualitative coding of urban climate action plans.</li> </ul> </li> <li>RegressionAnalysis.Rmd <ul> <li>Rmd file with R code used for regression analysis. </li> </ul> </li> <li>RegressionAnalysis_KnitOutput.html <ul> <li>Knit output from R code with regression analysis results, html format.</li> </ul> </li> <li>RegressionAnalysis_KnitOutput.pdf <ul> <li>Knit output from R code with regression analysis results, PDF format.</li> </ul> </li> </ul>

Data for the manuscript: Planning for climate migration in Great Lake Legacy Cities

Our analysis for the manuscript, "Planning for climate migration in Great Lake Legacy Cities" uses county level spatial data from the FEMA National Risk Index (USFEMA, 2021) and the CDC SVI ranking system (ATSDR, 2018) in the form of shapefiles(.shp). To create the geovisualization, we used boundaries of the Great Lakes that are published here https://www.glc.org/greatlakesgis. All analysis was conducted using R (2020), with code that can be found here: https://derekvanberkel.github.io/Planning-for-climate-migration-in-Great-Lake-Legacy-Cities/   ATSDR. (2018). Cdc/atsdr social vulnerability index. https://www.atsdr.cdc.gov/placeandhealth/svi/fact sheet/fact sheet.html. USGCRP. (2018). Impacts, risks, and adaptation in the united states: Fourth national climate assessment. US Global Change Research Program.

opencc-by-4.0Sep 2022View details →

The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities

This dataset contains the final TEI/XML version of the two-volume printed work “<a href="https://nbn-resolving.de/urn:nbn:de:hebis:77-vcol-20056">The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities</a>” which was produced during the Second World War by the British Foreign Office and the Ministry of Economic Warfare. This file has been created by the DH Lab at the <a href="https://www.ieg-mainz.de/likecms.php?function=set_lang&lang=en">Leibniz Institute of European History</a> (Mainz) and <a href="https://textloop.de/">textloop</a>. <a href="https://doi.org/10.5281/zenodo.6370214">Previous XML versions (without TEI).</a>

opencc-by-4.0Sep 2022View details →

Deep Learning based Urban Morphology for City-scale Environmental Modeling

The WRF simulations were performed using the Weather Research and Forecasting (WRF) model, version 4.2.1. The three nested domains are centered over Chicago, USA, with a spatial resolution of 9, 3, and 1 km for the outermost, middle, and innermost domains. The model was implemented with 42 pressure levels, with the first model level located at 21.2 m and the first 1 km vertical height containing 11 model levels. The initial and boundary conditions are taken from the National Centers for Environmental Prediction (NCEP) Final Reanalysis dataset at 1 degree spatial and 6-hourly temporal resolution.The physics components include the WRF single moment 6 class for microphysics, Dudhia for shortwave, the Rapid Radiative Transfer Model for longwave radiation parameterizations, Bougeault for the planetary boundary layer, Noah for the land surface model, Building Environment Parametrization (BEP)  for the urban model, and Grell for the cumulus scheme (only for the outermost domain of 9 km spatial resolution). The LCZs of Chicago, USA, are generated using the crowd-sourcing method. The training dataset, created manually, is obtained from the WUDAPT portal, and random forest classification is applied to Landsat 8 imagery to derive the LCZs for the desired region. The simulations are performed from 1/Jul/2018 00:00 to 7/Jul/2018 06:00, where the first 6 hours are discarded as spin-up time.The Digital Synthetic City (DSC) of Chicago, USA, uses satellite imagery and global-scale population and elevation data as input to the automatic method for producing a statistically similar and synthetic city-scale 3D urban model as output.The Control simulations use National Land Cover Database land use/land cover with  NUDAPT parameters, the three default WRF urban classes, and corresponding UCPs; the WUDAPT uses the MODIS classes with additional urban LCZs and UCPs from Brousse et al. (2016), and the DSC uses the WUDAPT classes with UCPs generated from DSC method.The dataset contains:1. Output from DSC in Shapefile.2. WRF model output for the third domain (1 km) spatial resolution domain for (a) NUDAPT or Control (b) WUDAPT or LCZs (c) DSC

Figure 3 in Species identification and seasonal prevalence of house dust mites in Assiut City, Egypt: A descriptive study in an urban area

Figure 3. Dermatophagoides farinae adult female (SEM photo) – a. Dorsal view shows sce (external scapular seta) is much longer than sci (internal scapular seta); b. Ventral view shows the genital system of the female; c. Lateral views shows the finely striated body and prodorsal shield; d. Hysterostoma region and anal opening; e. Epigynium and genital opening; f. Ventral view of the gnathostoma.

Figure 2 in Species identification and seasonal prevalence of house dust mites in Assiut City, Egypt: A descriptive study in an urban area

Figure 2. Dermatophagoides farinae (adult male) – a. Habitus (100×) before being cleared in Hoyer's medium and the enlarged 1st and 3rd pairs of legs are noted; b. Fused apodemes I (arrow) while apodemes II (arrow head) and apodemes III (curved arrow) are not fused (200×); c. Anal plate (arrow), post anal seta 2 (ps2) (curved arrow) (400×).

Figure 1 in Species identification and seasonal prevalence of house dust mites in Assiut City, Egypt: A descriptive study in an urban area

Figure 1. Dermatophagoides farinae (adult female) – a. Habitus (before being cleared) (10×); b. Habitus (after being cleared in Hoyer's medium) (x100); c. Distal solenidion on tarsus I (arrow head), terminal spinous process (curved arrow) and tarsus II with the two distal solenidia (arrow) (200×); d. Magnified tarsus II with distal solenidia (arrow head) and two small spinous tubercles (long arrow) (400×); e. The low-arched epigynium (arrow) and the faint transverse striations above it (arrow head); f. Bursa copulatrix (arrow), its external opening and sclerotized part (arrow head).

Figure 4 in Species identification and seasonal prevalence of house dust mites in Assiut City, Egypt: A descriptive study in an urban area

Figure 4. Dermatophagoides farinae adult male (SEM photo) – a. Ventral view showing the enlarged first pair of legs. B. The aedeagus; c. The anal plate containing the anal suckers.

Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)

Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).

Text-fig. 1. Location of Wiesa fossil site in eastern Germany and other fossil sites for comparison. Explanation for map b: all fossil sites – black circles; grey circles – cities; topographic names in italics – German states (Länder). For bio- and lithostratigraphic data of fossil sites, see chapter Methodologies and material and Text-fig. 3. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)

Text-fig. 1. Location of Wiesa fossil site in eastern Germany and other fossil sites for comparison. Explanation for map b: all fossil sites – black circles; grey circles – cities; topographic names in italics – German states (Länder). For bio- and lithostratigraphic data of fossil sites, see chapter Methodologies and material and Text-fig. 3.

opencc-by-4.0Oct 2022View details →

Replication data for measurement report: Evolution and distribution of NH3 over Mexico City from ground-based and satellite infrared spectroscopic measurements

This dataset of atmospheric ammonia (NH3) has been generated from solar absorption spectra measured in central Mexico using ground-based Fourier-Transform Infrared (FTIR) spectrometers. The FTIR experiments have been operated by the “Spectroscopy and Remote Sensing” Research Group of the ICAyCC-UNAM (Instituto de Ciencias de la Atmósfera y Cambio Climático of the Universidad Nacional Autónoma de México, http://www.epr.atmosfera.unam.mx/) Related Publication: Herrera, B., Bezanilla, A., Blumenstock, T., Dammers, E., Hase, F., Clarisse, L., Magaldi, A., Rivera, C., Stremme, W., Strong, K., Viatte, C., Van Damme, M., and Grutter, M.: Measurement report: Evolution and distribution of NH3 over Mexico City from ground-based and satellite infrared spectroscopic measurements, Atmos. Chem. Phys. https://doi.org/10.5194/acp-2022-217, Accepted, 2022. Abstract: Ammonia (NH3) is the most abundant alkaline compound in the atmosphere, with consequences for the environment, human health, and radiative forcing. In urban environments, it is known to play a key role in the formation of secondary aerosols through its reactions with nitric and sulphuric acids. However, there are only a few studies about NH3 in Mexico City. In this work, atmospheric NH3 was measured over Mexico City between 2012 and 2020 by means of ground-based solar absorption spectroscopy using Fourier transform infrared (FTIR) spectrometers at two sites (urban and remote). Total columns of NH3 were retrieved from the FTIR spectra and compared with data obtained from the Infrared Atmospheric Sounding Interferometer (IASI) satellite instrument. The diurnal variability of NH3 differs between the two FTIR stations and is strongly influenced by the urban sources. Most of the NH3 measured at the urban station is from local sources, while the NH3 observed at the remote site is most likely transported from the city and surrounding areas. The evolution of the boundary layer and the temperature play a significant role in the recorded seasonal and diurnal patterns of NH3. Although the vertical columns of NH3 are much larger at the urban station, the observed annual cycles are similar for both stations, with the largest values in the warm months, such as April and May. The IASI measurements underestimate the FTIR NH3 total columns by an average of 32.2 ± 27.5 % but exhibit similar temporal variability. The NH3 spatial distribution from IASI shows the largest columns in the northeast part of the city. In general, NH3 total columns over Mexico City exhibited an average annual increase of 92 ± 3.9 x 1013 molecules/cm2 yr (urban) and 8.4 ± 1.4 x 1013 molecules/cm2 yr (remote) was observed in Mexico City at both FTIR stations and a decadal increase of 62 % with IASI data. Description  UNAM_FTIRdata.csv: Atmospheric composition measurements made at the Universidad Nacional Autónoma de Mexico Observatory on the rooftop of the Instituto de Ciencias de la Atmósfera y Cambio Climático (UNAM, 19.33°N, 99.18°W, 2280 m.a.s.l.) located at the south of Mexico City.  These are retrieved from Fourier Transfor InfraRed (FTIR) solar absorption spectra recorded with a Vertex 80 spectrometer from April 2012 to October 2019.  The dataset contains the local time (YYYY-MM-DD hh:mm:ss AM/PM), the total columns (molecules/cm2), total error (molecules/cm2), systematic error (molecules/cm2), random error (molecules/cm2), and Degrees of Freddom (DOF).

opencc-by-4.0Nov 2017View details →

Fastprk2 video at Smart City World Congress 2017

Video in booth during the Smart City World Congress 2017 (Barcelona, Spain)

opencc-by-sa-4.0Dec 2017View details →

Cities' open data portals: Current Status

This is the whole sample of our survey regarding the current status of cities' open data portals. Asking data users from several backgrounds this survey aimed to determine the most used features, most important barriers, and data users perceptions regarding open geographic data available in cities' open data portals. Our goal was studying the way stakeholders especially developers and analysts looking and reuse geographic data in cities. This survey has 21 questions, mostly multiple choice questions, but also include open-questions, the study was entirely voluntary and publicly shared, having more replies in latino American countries and Spain. Most of the replies are in Spanish.

opencc-by-4.0May 2024View details →

Air Quality Index for Indian Cities 2015-2023

This repository contains analysis of AQI Daily bulletins released by the Central Pollution Control Board (CPCB) since 2015. These daily bulletins can be currently obtained here: <a href="https://cpcb.nic.in/AQI_Bulletin.php" rel="nofollow">CPCB Daily AQI Bulletins (link as accessed May 8th, 2024)</a> https://github.com/urbanemissions-info/AQI_bulletins contains all the codes for parsing the data from the daily PDFs, data repository, and codes to make the calendar plots. The data contains (available) day-wise <code>city-average AQI value</code>, <code>AQI category</code>, and <code>conditional pollutant</code> information. This data for all cities can be obtained in the <code>AllIndiaBulletins_master.csv</code> from <code>data/Processed</code> folder (on github) or as <code>India_AQI_Bulletins_Master.csv</code>  here. Calendar plot of the AQI values is produced for each city, along with the average number of stations reporting AQI value in each year. City wise AQI bulletins CSV and calendar plots can be obtained on UrbanEmissions website: <a href="https://urbanemissions.info/india-air-quality/india-ncap-aqi-indian-cities-2015-2023/" rel="nofollow">Link</a>

opencc-by-4.0Jun 2024View details →

Unveiling Mexico City's Airbnb Market Trends: A Data Analysis Exploration.

The present document focuses on analyzing, exploring and visualizing data from the Airbnb market in Mexico City using tools such as Python. The data used for this work was cleaned and prepared to extract relevant insights and relations between popular locations, occupancy rate, and reviews (classified  into positive or negative using BERT) of accommodations and market trends. The results obtained provide an in-depth insight into the Airbnb market in Mexico City and may be valuable for property owners to make an informed decision in their dynamic pricing strategy.

opencc-by-4.0Jun 2024View details →

Data for Seropositivity to Dengue virus DENV in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases?

This release include the datasets, R scripts and interactive maps generated for the manuscript: Seropositivity to Dengue virus DENV in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases? Authors: DA Mendicino, T Ricardo, MA Cristaldi, M Maglianesi, G Guzmán S Claussen, RG Chiaraviglio, CA Ávalos, MA Previtali. (2024).

opencc-by-4.0Dec 2014View details →

Фототаблица 3 Plate 3 A–D – Anisocorbula venustа (Gould, 1861): СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 7.5 мм, ЗМ ДВФУ № 38636/Bv-5916; E, F – Diplodonta semiasperoides Nomura, 1932: СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 20.0 мм, ЗМ ДВФУ № 38634/Bv-5914; G, H – Protothaca (Novathaca) jedoensis (Lischke, 1874): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 40.1 мм, ЗМ ДВФУ № 38358/Bv-5774; I, J – Felaniella usta (Gould, 1861): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 33.7 мм, ЗМ ДВФУ № 38354/Bv-5770; K–N – Ruditapes philippinarium (A. Adams et Reeve, 1850): СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 18.6 мм, ЗМ ДВФУ № 38618/Bv-5899; O–R – Gomphina (Macridiscus) melanaegis Römer, 1860: СевернаЯ КореЯ, провинциЯ Северный Хамгён, ЁмбудЖин, длина 44.1 мм, ЗМ ДВФУ № 38350/Bv-5766; S–V – Callista (Ezocallista) brevisiphonata (Carpenter, 1864): СевернаЯ КореЯ, провинциЯ Северный Хамгён, г. ЧхондЖин, рынок, длина 76.3 мм, ЗМ ДВФУ № 38356/Bv-5772; W –Z – Protothaca (Protothaca) euglypta (Sowerby III, 1914): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 42.1 мм, ЗМ ДВФУ № 38359/Bv-5775. A–D – Anisocorbula venustа (Gould, 1861): North Korea, North Hamgyong Province, Jipsam, shell length 7.5 mm, ZMFU no. 38636/Bv-5916; E, F – Diplodonta semiasperoides Nomura, 1932: North Korea, North Hamgyong Province, Jipsam, shell length 20.0 mm, ZMFU no. 38634/Bv-5914; G, H – Protothaca (Novathaca) jedoensis (Lischke, 1874): North Korea, North Hamgyong Province, shell length 40.1 mm, ZMFU no. 38358/Bv-5774; I, J – Felaniella usta (Gould, 1861): North Korea, North Hamgyong Province, shell length 33.7 mm, ZMFU no. 38354/Bv-5770; K–N – Ruditapes philippinarium (A. Adams et Reeve, 1850): North Korea, North Hamgyong Province, Jipsam, shell length 18.6 mm, ZMFU no. 38618/Bv-5899; O–R – Gomphina (Macridiscus) melanaegis Römer, 1860: North Korea, North Hamgyong Province, Yombunjin, shell length 44.1 mm, ZMFU no. 38350/Bv-5766; S–V – Callista (Ezocallista) brevisiphonata (Carpenter, 1864): North Korea, North Hamgyong Province, Chongjin City, market, shell length 76.3 mm, ZMFU no. 38356/Bv-5772; W –Z – Protothaca (Protothaca) euglypta (Sowerby III, 1914): North Korea, North Hamgyong Province, shell length 42.1 mm, ZMFU no. 38359/Bv-5775. in On the bivalve molluscan fauna of North Hamgyong Province (North Korea)

Фототаблица 3 Plate 3 A–D – Anisocorbula venustа (Gould, 1861): СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 7.5 мм, ЗМ ДВФУ № 38636/Bv-5916; E, F – Diplodonta semiasperoides Nomura, 1932: СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 20.0 мм, ЗМ ДВФУ № 38634/Bv-5914; G, H – Protothaca (Novathaca) jedoensis (Lischke, 1874): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 40.1 мм, ЗМ ДВФУ № 38358/Bv-5774; I, J – Felaniella usta (Gould, 1861): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 33.7 мм, ЗМ ДВФУ № 38354/Bv-5770; K–N – Ruditapes philippinarium (A. Adams et Reeve, 1850): СевернаЯ КореЯ, провинциЯ Северный Хамгён, Чипсам, длина 18.6 мм, ЗМ ДВФУ № 38618/Bv-5899; O–R – Gomphina (Macridiscus) melanaegis Römer, 1860: СевернаЯ КореЯ, провинциЯ Северный Хамгён, ЁмбудЖин, длина 44.1 мм, ЗМ ДВФУ № 38350/Bv-5766; S–V – Callista (Ezocallista) brevisiphonata (Carpenter, 1864): СевернаЯ КореЯ, провинциЯ Северный Хамгён, г. ЧхондЖин, рынок, длина 76.3 мм, ЗМ ДВФУ № 38356/Bv-5772; W –Z – Protothaca (Protothaca) euglypta (Sowerby III, 1914): СевернаЯ КореЯ, провинциЯ Северный Хамгён, длина 42.1 мм, ЗМ ДВФУ № 38359/Bv-5775. A–D – Anisocorbula venustа (Gould, 1861): North Korea, North Hamgyong Province, Jipsam, shell length 7.5 mm, ZMFU no. 38636/Bv-5916; E, F – Diplodonta semiasperoides Nomura, 1932: North Korea, North Hamgyong Province, Jipsam, shell length 20.0 mm, ZMFU no. 38634/Bv-5914; G, H – Protothaca (Novathaca) jedoensis (Lischke, 1874): North Korea, North Hamgyong Province, shell length 40.1 mm, ZMFU no. 38358/Bv-5774; I, J – Felaniella usta (Gould, 1861): North Korea, North Hamgyong Province, shell length 33.7 mm, ZMFU no. 38354/Bv-5770; K–N – Ruditapes philippinarium (A. Adams et Reeve, 1850): North Korea, North Hamgyong Province, Jipsam, shell length 18.6 mm, ZMFU no. 38618/Bv-5899; O–R – Gomphina (Macridiscus) melanaegis Römer, 1860: North Korea, North Hamgyong Province, Yombunjin, shell length 44.1 mm, ZMFU no. 38350/Bv-5766; S–V – Callista (Ezocallista) brevisiphonata (Carpenter, 1864): North Korea, North Hamgyong Province, Chongjin City, market, shell length 76.3 mm, ZMFU no. 38356/Bv-5772; W –Z – Protothaca (Protothaca) euglypta (Sowerby III, 1914): North Korea, North Hamgyong Province, shell length 42.1 mm, ZMFU no. 38359/Bv-5775.