cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20383/102.0452
title: SuperDARN 2010 RAWACF

description: SuperDARN RAWACF files for the calendar year 2010. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.25318/9810000501-eng
title: Population and dwelling counts: Canada, provinces and territories, census metropolitan areas and census agglomerations

description: This table presents the 2021 and 2016 population and dwelling counts, land area, population density and population ranking for census metropolitan areas or census agglomerations. It also shows the percentage change in the population and dwelling counts between 2016 and 2021.
DOI: 10.25500/edata.bham.00000572
title: Research data supporting ” Source Apportionment of Carbonaceous Aerosols in Beijing with Radiocarbon and Organic Tracers: Insight into the Differences between Urban and Rural Sites”
DOI: 10.3886/icpsr09905.v1
title: Correlates of War Project: International and Civil War Data, 1816-1992
title: Version 1

description: This data collection describes international and civil wars for the years 1816-1992. Part 1, the International Wars file, describes the experience of each interstate member in each war. The unit of analysis is the participant in a particular conflict. When and where each interstate member fought is coded, along with battle and total deaths, pre-war population and armed forces, and whether the member in question initiated the conflict. Each war is characterized as interstate, colonial, or imperial, and major power status and/or central system membership of the warring parties is noted. Part 2, the Civil Wars file, describes when and where fighting took place, whether the war was fought within the boundaries of a major power or central system member, whether there was outside intervention and, if so, whether the intervening state was a major power, on what side they intervened, who won the war, number of battle deaths, total population, and total number of pre-war armed forces.
description: Datasets: DS0: Study-Level Files DS1: International Wars Raw Data DS2: Civil Wars Raw Data DS3: Codebook for All Parts DS4: SPSS Export File for International Wars Data DS20: Diskette D00142 DS5: SPSS Export File for Civil Wars Data DS6: SAS Data Definition Statements for Part 1, International Wars Raw Data DS7: SAS Data Definition Statements for Part 2, Civil Wars Raw Data
description: Wars from 1816-1992 in which at least one member of the interstate system took part.
description: Part 5, an SPSS Export File, contains three alphanumeric variables (WARNAME, ABBREV, and NATNAME), not included in the raw data version of this collection. This data collection replaces WAGES OF WAR, 1816-1980: AUGMENTED WITH DISPUTES AND CIVIL WAR DATA (ICPSR 9044).
DOI: 10.48437/02.2020.k2.7000.0001
title: EasyGSH-DB: Themengebiet - Geomorphologie
title: EasyGSH-DB: Subject area - Geomorphology

description: Das Themengebiet Geomorphologie von EasyGSH-DB (Erstellung anwendungsorientierter synoptischer Referenzdaten zur Geomorphologie, Sedimentologie und Hydrodynamik in der Deutschen Bucht), ist ein Teil der referenzierbaren, kontinuierlich aufbereiteten Basisdatensatz für die Deutsche Bucht. Unter diesem Metadatensatz werden alle Produkte der Geomorphologie gelistet und verwiesen. Produkt: - EasyGSH-DB: Bathymetrie (1996-2016) - EasyGSH-DB: Isolinien der Bathymetrie (1996-2016) - EasyGSH-DB: Maximales und Minimales Z (1996-2016) - EasyGSH-DB: Morphologischer Drive (1996-2016) - EasyGSH-DB: Morphologischer Raum (1996-2016) Datenerzeugung: Die Basis für bathymetrische Produkte bilden gerasterte bathymetrische Modelle, die mithilfe des Funktionalen Bodenmodells, einem datenbasierten hindcast-Simulationsmodell, über räumlich-zeitliche Interpolationsverfahren aus einer Datenbasis von See- und Landvermessungen verschiedenster Datentypen erstellt werden. Für jedes Jahr von 1996 bis inklusive 2016 wird ein gerastertes bathymetrisches Modell in 10 m Auflösung für die Deutsche Bucht und zusätzlich in 250 m Auflösung für die Ausschließliche Wirtschaftszone für das Jahr 1996 erstellt. Die Produkte werden im GeoTiff- und Shapefile-Format bereitgestellt. Für weitere Informationen wird auf das Informationsportal (http://easygsh.wb.tu-harburg.de/) und das Downloadportal (https://mdi-de.baw.de/easygsh/) verwiesen.
DOI: 10.48437/02.2020.k2.7000.0005
title: EasyGSH-DB: Themengebiet - Sedimentologie
title: EasyGSH-DB: Themengebiet - Sedimentologie

description: Das Themengebiet Sedimentologie von EasyGSH-DB (Erstellung anwendungsorientierter synoptischer Referenzdaten zur Geomorphologie, Sedimentologie und Hydrodynamik in der Deutschen Bucht), ist ein Teil der referenzierbaren, kontinuierlich aufbereiteten Basisdatensatz für die Deutsche Bucht. Unter diesem Metadatensatz werden alle Produkte der Sedimentologie gelistet und verwiesen. Produkt: - EasyGSH-DB: Petrographische Karten - Hauptkomponenten (Kurz- und Langform) (1996, 2006, 2016) - EasyGSH-DB: Petrographische Karten - Nebenkomponenten (Kurz- und Langform) (1996, 2006, 2016) - EasyGSH-DB: Median-Korndurchmesser d50 - Raster und Isolinien (1996, 2006, 2016) - EasyGSH-DB: Sortierung (1996, 2006, 2016) - EasyGSH-DB: Schiefe (1996, 2006, 2016) - EasyGSH-DB: Porosität (1996, 2006, 2016) - EasyGSH-DB: Sedimentologie [csv] (1996, 2006, 2016) Datenerzeugung: Die Basis für sedimentologische Auswertungen bilden Oberflächensedimentproben, die im Rahmen des Projektes EasyGSH mittels anisotroper Interpolationsverfahren und unter Berücksichtigung hydrodynamischer Faktoren und Erosions- und Sedimentationsprozesse von Einzelproben verschiedener Jahre auf ein für ein Jahr gültiges Raster interpoliert wurden. An jedem dieser Rasterknoten liegt die Sedimentverteilung daher als Summenkurve vor. Für die Deutsche Bucht liegt dieses Basisprodukt für die Jahre 1996, 2006 und 2016 im 100 m Raster, für die Ausschließliche Wirtschaftszone Deutschlands für das Jahr 1996 im 250 m Raster vor. Die Produkt werden im GeoTiff- oder im Shapefile Format bereitgestellt. Literatur: Folk, R. L., & Ward, W. C. (1957). A study in the significance of grain size parameter. Journal of Petrology, 37, 327-354. Für weitere Informationen wird auf das Informationsportal (http://easygsh.wb.tu-harburg.de/) und das Downloadportal (https://mdi-de.baw.de/easygsh/) verwiesen.
DOI: 10.5281/zenodo.10072244
title: Longitudinal urban form dataset of Midtown Manhattan:  Measuring urban form evolution via quantitative descriptions of plots, buildings and streets from 1890 to the present

description: This dataset contains data described and used in the research article "The impact of urban form on physical change: A quantitative and diachronic analysis of urban form evolution in Midtown Manhattan". 

The longitudinal dataset contains urban form data on nearly 17,000 individual plots (parcels) in Midtown Manhattan, documented through four subsequent time frames: 1890, 1920, 1956 and 2021. The data was compiled from historical cartographic resources and open-access geospatial datasets listed in the ReadMe file. 

The dataset includes an array of quantitative descriptions of plots, buildings and streets central to the field of urban morphology, and the binary information of physical change (1: change, 0: no change) identified via diachronic comparison of each time frame at the scale of plots.

 

Acknowledgements

The dataset presented in this repository has been generated as part of a PhD research conducted at the University of Melbourne, Faculty of Architecture, Building and Planning and funded by the University of Melbourne - Melbourne Research Scholarship: 

Tümtürk, O. (2024). A data-driven investigation on urban form evolution: Methodological and empirical support for unravelling the relation between urban form and spatial dynamics. Unpublished PhD Thesis. The University of Melbourne, Australia.
DOI: 10.5281/zenodo.13840145
title: Data for "Constraints on the Observability of Energetic Neutral Atoms from the Magnetosphere-Atmosphere Interactions at Callisto and Europa" by Haynes et al.

description: Accompanying data products for publication entitled "Constraints on the Observability of Energetic Neutral Atoms from the Magnetosphere-Atmosphere Interactions at Callisto and Europa". The manuscript was submitted to JGR Space Physics shortly after upload.

Data includes all simulation outputs that are depicted in this work, both for the AIKEF hybrid model (i.e., Figure 4) and the model used to produce synthetic ENA images (Figures 3, 6, 8, 9, 11, A1, and B1). All other figures in the work are used for illustrative purposes and were not generated with simulation output. 

Information regarding the organization and file structure can be found in H24_data_readme.txt , as well as which dataset corresponds to which figure. Any inquiries, questions, or comments may be addressed through the email associated with this data publication.
DOI: 10.5281/zenodo.14040380
title: Dataset for "Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust" published in GeoHealth

description: Data Repository for:

Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust

Ines Tomašek1,2,3*, Julia Eychenne1,2, David E. Damby4, Adrian Hornby5,6, Manolis N. Romanias7, Severine Moune1, Gaëlle Uzu8, Federica Schiavi1, Maeva Dole1, Emmanuel Gardès1, Mickael Laumonier1, Clara Gorce1, Régine Minet-Quinard2,9, Julie Durif9, Corinne Belville2, Ousmane Traoré10,11, Loïc Blanchon2†, Vincent Sapin2,9†

1Laboratoire Magmas et Volcans (LMV), CNRS, IRD, OPGC, Université Clermont Auvergne, France.

2Institute of Genetic Reproduction and Development (iGReD), Translational Approach to Epithelial Injury and Repair Team, CNRS, INSERM, Université Clermont Auvergne, France.

3Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Catania, Italy.

4Volcano Science Center, U.S. Geological Survey (USGS), USA.

5Department of Earth and Atmospheric Sciences, Cornell University, USA.

6Department of Cellular and Molecular Biology, School of Medicine, University of Texas at Tyler, USA.

7Institut Mines-Télécom (IMT) Nord Europe, Centre for Energy and Environment, Université Lille, France.

8Université Grenoble Alpes, IRD, CNRS, INRAE, INP-G, IGE (UMR 5001), France.

9Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Biochemistry and Molecular Genetics Department, France.

10Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Infection Control Department, France.

11Laboratoire Microorganismes: Génome Environnement (LMGE), UMR, CNRS, Université Clermont Auvergne, France.

†These authors share the last authorship.

*Correspondence.
DOI: 10.5281/zenodo.14424284
title: Air pollution data matched to the CLHLS participants' ID
DOI: 10.5281/zenodo.5242895
title: CEM2D_Dataset

description: Dataset used for the paper 'The Coastline Evolution Model 2D (CEM2D) V1.1'. https://doi.org/10.5194/gmd-14-1-2021
DOI: 10.6084/m9.figshare.1132584
title: NPG 2014 Social Networks survey

description: These files relate to the article by Richard van Noorden published in Nature on 14th August 2014 summarising the Nature Social Networks survey carried out in May-July 2014.
DOI: 10.3334/cdiac/cli.ndp026
title: Climatological Data for Clouds Over the Globe from Surface Observations (1988) (NDP-026)

description: With some data from as early as 1930, global long-term monthly and/or seasonal total cloud cover, cloud type amounts and frequencies of occurrence, low cloud base heights, harmonic analyses of annual and diurnal cycles, interannual variations and trends, and cloud type co-occurrences have been compiled and presented in two atlases (Warren et al. 1988, 1990). These data were derived from land and ship synoptic weather reports from the "SPOT" archive of the Fleet Numerical Oceanography Center (FNOC) and from Release 1 of the Comprehensive Ocean-Atmosphere Data Set (COADS) for the years 1930-1979. The data are in 12 files (one containing latitude, longitude, land-fraction, and number of land stations for grid boxes; four containing total cloud, cloud types, harmonic analyses, and interannual variations and trends for land; four containing total cloud, cloud types, harmonic analyses, and interannual variations and trends for oceans; one containing first cloud analyses for the first year of the GARP Global Experiment (FGGE); one containing cloud-type co-occurrences for land and oceans; and one containing a FORTRAN program to read and produce maps).
DOI: 10.35097/898
title: Electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab

description: The dataset contains electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab (ESHL) at Karlsruhe Institute of Technology. During the experiment two tenants lived their daily life in the ESHL, a smart home consisting of a 60m² living area and a 20m² technical room. The dataset contains the electrical consumption data for every device and socket in the living area as well as the technical room. There is one set for the average electricity demand per 15min for all devices in the living room, one set for the average demand per 15min for all devices in the technical room, one set for the maximum demand per 15min for the devices in the living room and one set for the maximum demand per 15min for the devices in the technical room. Due to technical difficulties the recording for the devices in the technical room started two weeks after the recording of the living area. There are also some shorter gaps in the data due to power outages. In addition to the electrical consumption data, a timeseries for the outdoor temperature with a temporal resolution of 15min is included in the dataset.
DOI: 10.5281/zenodo.12746431
title: Data and code for "Trace elements increase reproducibility of microbial growth"

description: Data and code for the paper Trace elements increase reproducibility of microbial growth.
DOI: 10.5281/zenodo.13889569
title: Neural circuits underlying context-dependent competition between defensive actions in Drosophila larva

description: Source Data_Behavior Folder contains source data for behavioral experiments corresponding to Figure 1, 2, 3, 8 and Supplementary Figure 2, 3, 4, 5, 6, 8, 9, 10, 11 and 12

Source Data_Imaging Folder contains source data for Calcium Imaging corresponding to Figure 6, 7 and Supplementary Figure 7

Source Data_Immuno Folder contains source data for SPARC experiment corresponding to Figure 7 and Supplementary Atlas

Source Data_Figure 4 Folder contains source data for behavioral experiments corresponding to Figure 4
DOI: 10.5281/zenodo.3908787
title: BS Filled Total Column Ozone Database V3.4

description: The BS Filled Total Column Ozone (TCO) database provides a gap-free extension of the NIWA-BS Total Column Ozone database (doi:10.5281/zenodo.1346424) which combines TCO data from multiple satellite-based instruments to create a single near-global daily time series of ozone fields at 1.25° longitude by 1° latitude spanning the period 31 October 1978 to 31 December 2016. The construction of NIWA-BS TCO was initially maintained by the National Institute of Water and Atmospheric Research (NIWA) and now by Bodeker Scientific (BS). The latter also developed the BS Filled TCO database published here. While the BS Filled TCO database has the same resolution and covers the same period as NIWA-BS TCO, any missing data have been filled using a machine learning-based method that regresses the NIWA-BS TCO database against NCEP CFSR reanalysis tropopause height fields and potential vorticity (PV) fields on the 550 K surface. Uncertainties in the filled TCO fields are provided on every datum and these uncertainties reflect the data availability, i.e. the uncertainty is smaller where measurements are available compared to regions where filling of the data was required. The data are available at daily, monthly or yearly resolution. <strong>Please email greg@bodekerscientific.com and let us know which data set you downloaded and what your intended purpose for the use of the data is. You will then receive updates if an improved version becomes available. </strong> <br> <pre> </pre>
DOI: 10.5281/zenodo.4626578
title: The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2018

description: This dataset contains all data from figures (in csv format) and figures from the ESSD submitted paper: "<strong>The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2018"</strong>, essd-2020-376 Petrescu, A. M. R., McGrath, M. J., Andrew,<sup> </sup>R. M., Peylin, P., Peters, G. P., Ciais, P., Broquet, G., Tubiello, F. N., Gerbig, C., Pongratz, J., Janssens-Maenhout, G., Grassi, G, Nabuurs, G.-J., Regnier, P., Lauerwald, R., Kuhnert, M.,<sup> </sup>Balkovič, J., Schelhaas, M. J., Denier van der Gon, H. A. C., Solazzo, E., Qiu, C., Pilli, R., Konovalov,<sup> </sup>I. B., Houghton, R., Günther, D., Perugini, L., Crippa, M., Ganzenmüller, R., Luijkx, I. T., Smith, P., Munassar, S., Thompson, R.L., Conchedda, G., Monteil, G., Scholze, M., Karstens, U., Brokmann, P. and Dolman, A. J.: The consolidated European synthesis of CO<sub>2</sub> emissions and removals for EU27 and UK: 1990-2018, Earth Syst. Sci. Data Discuss., essd-2020-376, in review, 2020.
description: new spreadsheet with aggregated data figures for CO2 synthesis
DOI: 10.25403/upresearchdata.28302197
title: Metal-organic frameworks (MOFs) – MOF-5, Cu-BTC, and Ir(III)CpCl@COMOC-4 – as electrocatalysts for CO<sub>2</sub> reduction

description: This study investigates the potential of three Metal-Organic Frameworks (MOFs) – MOF-5, Cu-BTC, and Ir(III)CpCl@COMOC-4 – as electrocatalysts for CO<sub>2</sub> reduction. Characterization techniques confirmed the successful synthesis of the MOFs with distinct morphologies and high surface areas, particularly Cu-BTC and MOF-5. Electrochemical analysis demonstrated CO<sub>2</sub> reduction capabilities for all three MOFs, evidenced by a shift in redox peaks and increased currents in the presence of CO<sub>2</sub>. While further analysis using DEMS is needed to confirm the specific products, these findings suggest that these MOFs hold promise as promising candidates for environmentally friendly CO<sub>2</sub> conversion technologies.
DOI: 10.15468/dl.8wnbka
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((103.5533 12.35478, 103.5471 12.35495, 103.5408 12.35348, 103.5365 12.35449, 103.5337 12.35044, 103.5355 12.34457, 103.5355 12.33978, 103.5332 12.33785, 103.5312 12.34058, 103.5288 12.34419, 103.5261 12.34479, 103.5254 12.34075, 103.5246 12.33781, 103.5204 12.33669, 103.519 12.33654, 103.5182 12.33367, 103.5206 12.32725, 103.5324 12.32315, 103.5424 12.32402, 103.5536 12.32996, 103.5525 12.33761, 103.5482 12.34121, 103.5471 12.34613, 103.5533 12.35478))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004976-250127130748423/datasets/export for details.
DOI: 10.3886/e183823
title: Data and Code for: Globalization and Pandemics

description: This replication archive contains the data and code for "Globalization and Pandemics" (Pol Antras, Stephen Redding, and Esteban Rossi-Hansberg) published in the American Economic Review. See the Readme file in the replication archive for further details.
description: Not applicable
description: Response Rates: Not applicable
description: Presence of Common Scales: Not applicable
description: All cities and countries around the world for which data are available.
description: Cities and countries around the world. Smallest Geographic Unit: City or country
description: other; Data collected from a variety of secondary sources, as discussed further in the readme file in the replication archive.
DOI: 10.3886/e183823v1-165621
title: Data and Code for: Globalization and Pandemics

description: This replication archive contains the data and code for "Globalization and Pandemics" (Pol Antras, Stephen Redding, and Esteban Rossi-Hansberg) published in the American Economic Review. See the Readme file in the replication archive for further details.
description: Not applicable
description: Response Rates: Not applicable
description: Presence of Common Scales: Not applicable
description: All cities and countries around the world for which data are available.
description: Cities and countries around the world. Smallest Geographic Unit: City or country
description: other; Data collected from a variety of secondary sources, as discussed further in the readme file in the replication archive.