cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13220435
title: Remarks on sustainable disposal and potential reuse of greywater in an informal urban settlement, Cape Town, South Africa

description: The disposal of greywater is a challenge for informal urban settlements that do not have a reticulation system to collect the wastewater they generate. Greywater, which includes domestic wastewater, represents a potential resource that can alleviate water stress if efficiently managed. This study aimed to provide sustainable disposal and potential reuse of greywater produced using informal settlements in Cape Town, South Africa. Greywater has the potential to contribute significantly to food security in such settlements by providing a source of both irrigation water and toilet flushing. A combination of desktop research and interviews was employed to gather and analyze the data. A total of 69 questionnaires were administered in the study, and greywater management practices were investigated. The findings showed deficiencies in the sustainable disposal of greywater from households. To understand the volumes of greywater generated from a household, a model has been proposed in the study, as there has been a lack of focus on making predictions that quantify the volume of greywater recovered from these households. In the context of sustainable development, water management, and considering the scarcity of water resources, particularly in semi-arid regions, the use of treated greywater is an alternative method that can reduce the burden of withdrawals.
DOI: 10.5281/zenodo.6975717
title: Thundersnow in China

description: The data for the article "Thundersnow in China". It contains the ADTD (cloud-to-ground flash) and WWLLN flash data of thundersnow events in China from 2008 to 2017.
DOI: 10.15468/dl.u42xnv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.481172 -31.922319, 149.481172 -31.924565, 149.485664 -31.924565, 149.485664 -31.922319, 149.481172 -31.922319))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048185-240626123714530/datasets/export for details.
DOI: 10.15468/dl.n8t4vq
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Botanical Database of Southern Africa (BODATSA): Botanical Collections",
 "Geometry POLYGON((31.41639 -28.78238,31.55877 -28.78238,31.55877 -28.67786,31.41639 -28.67786,31.41639 -28.78238))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048186-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z2vsttt426.1
title: Phantom Diffusion-Weighted Imaging Data and Code for Noise Model Fitting

description: Example phantom diffusion-weighted imaging data and code for fitting noise models.
DOI: 10.5281/zenodo.6975716
title: A 10-Year Thundersnow Climatology over China

description: The data for the article "<strong>A 10-Year Thundersnow Climatology over China</strong>". It contains the monthly thundersnow events number and AO index from 2008-2017. It also contains the ADTD (cloud-to-ground flash) and WWLLN flash data of thundersnow events in China from 2008 to 2017.
DOI: 10.15468/dl.yh55kv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.126336 -35.95802, 149.126336 -35.962511, 149.128582 -35.962511, 149.128582 -35.95802, 149.126336 -35.95802))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048187-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2575711
title: Tanguro-Flux Data

description: Tanguro (Brasil)

<strong>Location</strong>

Tropical control forest and farmland (soy beans)

Latitude -13.08 , Longitude -52.39

<strong>Overview</strong>


	Periods: June 2016 and January 2017
	Eddy covariance
	Meteorology
	Derived turbulent fluxes from thermodynamics (Kleidon A., Thermodynamic Foundations of the Earth System, 2016, Cambridge Univ. Press)


<strong>Description</strong>

Data from two new Eddy flux stations in Ribeirão Tanguro, Matto Grosso, Brazil. One in an unmanaged forest (control site) and another one on a farmland (soy beans). They are equipped with the usual sensors for meteorology and Eddy covariance measurements and are powered by solar stations. The towers belong to a joint project with the Brazilian Institute for Amazon Research (IPAM) to manipulate the carbon use efficiency of tropical forest. More information on projects, collaborations and facilities can be found here: https://www.bgc-jena.mpg.de/Freiland/index.php/Sites/BrazilTanguro

<strong>Variables & Instruments</strong>

<strong><em>Fluxes</em></strong>


	Eddy covariance - water vapor, heat (USA-1, LI7200)
	Derived turbulent fluxes from the thermodynamic maximum power principle (Kleidon, 2016)


<strong><em>Meteorology</em></strong>


	Air temperature and humidity - temperature-humidity-sensor KPK1_5-ME, Mela
	Solar radiation - net radiometer CNR1, Kipp & Zonen
	Terrestrial radiation - net radiometer CNR1, Kipp & Zonen


<strong><em>Soil conditions</em></strong>


	Soil heat flux - soil heat flux plates HP3/CN3, Rimco


<strong><em>Data acquisition</em></strong>


	Meteorological data - datalogger CR1000, Campbell Scientific
	Flux data - notebook
DOI: 10.5281/zenodo.3939403
title: IODP Expedition 305, Hole U1309D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 305: Atlantis Massif Oceanic Core Complex 2
DOI: 10.5281/zenodo.6493145
title: Lightning Assimilation in the Weather Research and Forecasting (WRF) Model: Technique Updates and Assessment of the Applications from Regional to Hemispheric Scales

description: Figure 1. The data is proprietary, but it can be purchased from Vaisala Inc. (https:// www.vaisala.com/en/products/systems/lightning-detection), and the WWLLN raw data are also available for purchase at http://wwlln.net. Figure 2. Maps, data is not applicable. Figure 3. Data file: NLDN_WWLLN_Prism_Rainfall_Analysis.xlsx Figure 4. Data file: NLDN_WWLLN_METVARS_T2_Jul_2016.xlsx Figure 5. Data file: CONUSall_METOBS_q_Jul_2016.xlsx Figure 6. Data file: CONUSall_METOBS_ws_Jul_2016.xlsx Figure 7. Created using the R script: Hemi_Rain_ModelOnlyWGPM.R based on the R object files: AnnualRainFall_CFC_WRF_Hemi_BASE_*.rds, AnnualRainFall_CFC_WRF_Hemi_LTA_*.rds, and GPM_WRF_Paired_rain2Hemispheric_July2016.rds. Figure 8. Created using the R script: Hemi_Rain_Aanlysis.R based on the R object files: AnnualRainFall_CFC_WRF_Hemi_BASE_*.rds and AnnualRainFall_CFC_WRF_Hemi_LTA_*.rds. Figure 9. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 10. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 11. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 12. Created using the R script: CreateCPCdataforUSdomain_vs_Prism.R based on the R oject files: Prism_CFC_WRF*.rds Figure 13. Data file: Hemi_lta_METOBS_T2_Jul_2016.xlsx Figure 14. Data file: Hemi_lta_METOBS_q_Jul_2016.xlsx
DOI: 10.5281/zenodo.6530915
title: Dataset for Surface waves prediction based on acoustic backscattering

description: Underwater acoustic measurements dataset is represented by three types of files “.raw", “.mat", ".dat" as follows:<br> * “.raw" format also represented by three types of data.<br> - “...search.raw" files contain complex envelop from all hydrophones calculated at four emitted frequencies<br> - “...chan.raw" files is a signal in a wide band from one of the hydrophones - for control and noise analysis.<br> - the largest files are the raw wideband signal from all hydrophones. One such file was saved per eight-hour sound emission cycle.<br> * Spectrogram files are saved in MATLAB format “.mat” v7 . Phasing of the antenna array (all-round view) and calculation of window spectra near each emitted pulse was carried out.<br> * ".dat" files contain features of the average spectrum of the backscattered signal.<br> * Direct measurements of surface wave characteristics, made by a Datawell DWR-G4 wave-rider buoy, accompanied the acoustic measurements. This data is included too. In this archive, we upload all available files of the "dat" and "mat" type and a limited number of "raw" files. You may unpack all ".tar.gz" files into one folder, preserving the directory tree, existing in the archives. Users should refer to the included “.pdf” file for the data format description and to a published preprint for a description of the experimental conditions and instrumentation characteristics. See [arXiv:arXiv:2204.10153] via https://arxiv.org/abs/2204.10153 (Also check when the link is updated to the journal paper) The authors are grateful to their colleges, who helped during the expedition. Data acquisition would be impossible without their contribution. This research was supported by the Russian Science Foundation, grant number 20-77-10081 (the expedition and motivation for study) and the State Contract with the Ministry of Education and Science of the Russian Federation, grant number 0030-2021-0017 (the instruments for underwater acoustic measurements).
DOI: 10.15468/dl.ewz5eu
title: Occurrence Download

description: A dataset containing 47519 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((6.78795 43.65948,6.772 43.65917,6.75749 43.65849,6.74551 43.64719,6.744 43.61852,6.74359 43.57581,6.7586 43.55624,6.77142 43.53145,6.78407 43.536,6.79689 43.55152,6.81325 43.57986,6.84075 43.59184,6.84851 43.6131,6.80651 43.65105,6.78795 43.65948))"
 ]
}

 The dataset includes 47519 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048184-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/49jtvcmmks.1
title: Enhancing Building Information Modeling Efficiency by Clash Detection and Resolution Techniques in a Sustainable Construction Approach for High-Rise Structures

description: Data Files of submission
DOI: 10.17632/49jtvcmmks.2
title: Enhancing Building Information Modeling Efficiency by Clash Detection and Resolution Techniques in a Sustainable Construction Approach for High-Rise Structures

description: Data Files of submission
DOI: 10.5281/zenodo.5041931
title: Leaf number, leaf area, shoot number, and height of reproductive H. acuminata

description: Initial release of the data and code
DOI: 10.5281/zenodo.3755314
title: Seagrass biomechanics and flow-seagrass interactions data

description: This data package provides post-processed data used in the manuscript “Temporal variability in biomechanics and within-plant heterogeneity regulate flow-seagrass interactions”authored by Davide Vettori and Timothy I. Marjoribanks. The data package contains data obtained from direct measurement of maximum quantum yield of fluorescence, morphological characteristics and mechanical properties of the seagrass species <em>Zostera marina</em> collected in the Rodsand lagoon (DK). Further, data of seagrass drag force, biomass height, and deflected height computed by using a numerical model of flow-seagrass interactions are provided. The numerical model was parameterized using data from direct measurements.
DOI: 10.1594/pangaea.890540
title: Geochemistry of Zoige_core1 peat core
DOI: 10.5281/zenodo.3598730
title: Supporting data for 2019SW002408: Detection of VLF attenuation in the Earth-ionosphere waveguide caused by X-class solar flares using a global lightning location network

description: This folder contains data from the World Wide Lightning Location Network (WWLLN) used in the paper "<strong>Detection of VLF attenuation in the Earth-ionosphere waveguide caused by X-class solar flares using a global lightning location network</strong>". Contents: 1. readme_2019SW002408.pdf: A detailed explanation of the data files in this folder 2. station_list_20170906-10.csv: A table of WWLLN stations used in this analysis 3. stroke-station_20170906.csv: A list of lightning strokes detected by WWLLN, and the stations detecting each stroke, for the day September 6, 2017. 4. stroke-station_20170910.csv: A list of lightning strokes detected by WWLLN, and the stations detecting each stroke, for the day September 10, 2017.
DOI: 10.15468/dl.6syyry
title: Occurrence Download

description: A dataset containing 567701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "GadmGid is one of (TUR.28_1, TUR.40_1, TUR.50_1, TUR.73_1)",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 567701 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048166-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5648269
title: Eddy covariance flux data at the Wüstebach clear-cut site for the 2020 growing season

description: Data related to the research article <em>Effects of Measurement Height and Low-Pass Filtering Corrections on Eddy-Covariance Flux Measurements Over a Forest Clearing with Complex Vegetation</em> published in <em>Boundary-Layer Meteorology</em>.
DOI: 10.5281/zenodo.3764272
title: Meteorological and ground observations in the Qinghai-Tibet Engineering Corridor

description: The observations of meteorological factors were carried out from two permanent meteorological stations (Golmud and Wudaoliang) and one field meteorological station (Xidatan) with daily meteorological records for the period 2014-2018. Ground temperature and moisture data from the near-surface to within 270 cm in the active layer were recorded for the permafrost slope.
DOI: 10.5281/zenodo.3941954
title: IODP Expedition 314, Hole C0003A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 314: NanTroSEIZE Stage 1 - LWD Transect
DOI: 10.5281/zenodo.4282793
title: Characteristics of wintertime VOCs in urban Beijing: composition and source apportionment

description: Ambient measurement campaign took place during winter 2017 in Beijing, China. The sources of volatile organic compounds were disclosed measured by proton-transfer-reaction time-of-flight mass spectrometers (PTR-ToF-MS). Ten VOC families showed clear dependence on the VOC concentration. The application of the novel positive matrix factorization receptor model enables the identification of anthropogenic and OVOC sources. Besides, a detailed comparison of VOC and OA source composition provided new proofs on SOA formation.
DOI: 10.5281/zenodo.3588393
title: Identifying GNSS transmitters based on their RadioFrequency (RF) features - a dataset with GNSS roofantenna and Spectracom-based GNSS signals

description: This dataset contains GNSS signals collected via roof antennas and Spectracom simulator for the purpose of Radio-Frequency Fingerprinting studies for signal-type identification. We offer six different scenarios in open-access for further testing, although additional scenarios are available on-demand (could not be uploaded due to Zenodo maximum uploading limits). This dataset is realted to the paper "Identifying GNSS transmitters based on their RadioFrequency (RF) features - a dataset with GNSS roofantenna and Spectracom-based GNSS signals" (Doi).
DOI: 10.5281/zenodo.3359069
title: Sichuan Dataset for GRASS GIS

description: <strong>Sichuan Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for Sichuan Province, China. The top level directory <em>sichuan-dataset</em> is a GRASS GIS location for WGS 84 / UTM zone 48N with EPSG code 32648. Inside the location there is the <em>PERMANENT</em> mapset, color tables, category tables, a license file, and readme file. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> ALOS Global Digital Surface Model Anthromes NASA Shuttle Radar Topography Mission (SRTM) ESA CCI Landcover European Soil Data Centre (ESDAC) Database of Global Administrative Areas (GADM) Harvard World Map IUCN Red List Protected Planet NASA Blue Marble Natural Earth Open Street Map WWF HydroSHEDS WWF Terrestrial Ecoregions of the World <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.<br>
DOI: 10.5281/zenodo.4482140
title: PdO reference

description: PdO reference
DOI: 10.5281/zenodo.6334236
title: Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape [Data set]

description: The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes of boreal subarctic landscape and its ecosystems and ecotones, and ancillary meteorological and environmental data, measured at Kaamanen, northern Finland (69°8’ N, 27°16’ E; 155 m a.s.l.), during June 2017 - June 2019. The studied ecosystems and ecotones include: upland pine forest, fen, treed pine bog, sparsely treed pine bog, lakes and string top fen plant community. C_fluxes1b_Heiskanen_et_al_2022.csv includes quality screened, u* filtered and gap-filled eddy covariance ecosystem flux data and modelled pine bog and string top time series utilising eddy covariance and manual flux chamber measurements. C_fluxes2_Heiskanen_et_al_2022.csv includes quality screened daily average lake fluxes from mineral and organic sediment lakes. environmental_data_Heiskanen_et_al_2022.xlsx includes ancillary meteorological and environmental data.
description: This work was supported by the Finnish Meteorological Institute, the University of Helsinki, the Natural Resources Institute Finland, the University of Eastern Finland and the Academy of Finland CAPTURE-project (Carbon dynamics across Arctic landscape gradients: past, present and future) grant (grant no. 296888 and 296423) and Maj and Tor Nessling foundation (grant no. 202000391).
DOI: 10.15468/dl.rdzck5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.593462 -31.931302, 149.593462 -31.93804, 149.595708 -31.93804, 149.595708 -31.944777, 149.597954 -31.944777, 149.597954 -31.935794, 149.6002 -31.935794, 149.6002 -31.931302, 149.593462 -31.931302))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048188-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.4588528
title: Daily 3-km PM2.5 data of China (2013-2017)

description: We have estimated daily 3-km PM<sub>2.5</sub> concentration from 2013 to 2017 in China using a spatiotemporal modeling. We also used geospatial big data to investigate the temporal variation of PM2.5 exposure. The data is free for non-commercial use. For more details, please see our paper: He, Qingqing, et al. "Spatiotemporal assessment of PM2. 5 concentrations and exposure in China from 2013 to 2017 using satellite-derived data." <em>Journal of Cleaner Production</em> (2020): 124965. If your study uses this dataset, please cite our publication. If you have any question regarding the dataset, feel free to contact me via email: qqhe@whut.edu.cn. We also estimated 1-km PM2.5 data from 2000 to 2019 over China using a spatiotemporal modeling from satellite data. The data will be published in Version 1 (10.5281/zenodo.5040833) later because our study is under review.
DOI: 10.5281/zenodo.6615022
title: Ozone dry deposition and ozone fields modeled by WRF-Chem

description: This dataset includes hourly ozone dry deposition velocity v<sub>d</sub> and surface ozone concentration fields over the southeastern US in August 2016, which are simulated by the NASA Land Information System/Weather Research and Forecasting model with online Chemistry, without and with the assimilation of soil moisture retrievals from NASA’s Soil Moisture Active Passive mission. Different dry deposition parameterizations are used in this modeling/data assimilation work, as described in "Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 2: Sensitivity to dry-deposition parameterizations", by Huang et al. (2022). The model grid definition, along with the grid-dominant land use/cover type information, is also supplied. All data are stored in NetCDF files.
description: Related publication: Huang et al.: Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 2: Sensitivity to dry-deposition parameterizations, Atmospheric Chemistry and Physics, in press, 2022.
DOI: 10.5281/zenodo.3548167
title: 2017 AQABA Ship Track

description: Ship Track of the Kommandor IONA during the AQABA ship campaign in 2017
DOI: 10.1594/pangaea.904253
title: The WGLC global gridded monthly lightning stroke density and climatology

description: This dataset contains global lightning stroke density calculated from georeferenced stroke count data from the World Wide Lightning Location Network (WWLLN). The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. The corrected hourly grids were then aggregated into monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2018 and will be updated in the coming years.The data are stored in a NetCDF (version 4) files and have the following attributes:- Spatial extent: Entire Earth- Spatial reference system (SRS): Unprojected (geographic, WGS84)- Spatial resolution: 30 arc-minutes (720 rows by 360 columns)- Temporal extent: 2010-2018- Temporal resolution: One month (108 time steps for the monthly data; 12 for the climatology)- Variable: lightning: frequency of lightning flashes per unit area- Units: strokes per km2
description: Zip folder with two datasets: WWLLN_climatology.nc and WWLLN_monthly.nc
DOI: 10.5281/zenodo.1183276
title: Monthly Standardized Precipitation Evapotranspiration Index (Spei) For Australia At 0.05 Degree From 1982 To 2014

description: This monthly SPEI dataset in 1-48 scale is calculated using R's SPEI package in 'kernel -- rectangular', 'distribute -- log-Logistic' and 'fit -- ub-pwm' mode, with AWAP's monthly rainfall and ALWB's potential evapotranspiration.