cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xtzbnd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halichoeres sazimai Luiz, Ferreira & Rocha, 2009",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004553-250123221155621/datasets/export for details.
DOI: 10.15468/dl.zjky9q
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((83.90258 48.34633,99.03926 49.99808,101.60202 53.866,83.90258 53.866,83.90258 48.34633))",
 "TaxonKey is Pulsatilla ambigua (Turcz. ex Hayek) Zämelis & Paegle"
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004555-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23ja46
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brama japonica Hilgendorf, 1878",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004554-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3634712
title: Berkeley Earth Combined Land and Ocean Temperature Field, Jan 1850-Nov 2019

description: These files contain a copy of the Dec 2019 version of the Berkeley Earth Land and Ocean gridded temperature dataset. The files present monthly temperature anomalies across the globe from January 1850 until November 2019. This is created by merging the Berkeley Earth land surface temperature dataset with a reinterpolated version of the HadSST ocean surface dataset. Two versions are available, one that extrapolates land air temperature over sea ice regions, and an alternative construction that extrapolates sea surface temperatures in sea ice regions. The version based on air temperature is recommended for most applications. Gridded NetCDF files are presented on either a 1 degree by 1 degree latitude-longitude grid or a 15984 element equal-area grid. The equal-area grid is used in the construction of the dataset, whereas the 1 degree grid is created at the end of the analysis for convenience. In additional, text files are provided containing global average time series and uncertainties for convenience. A new version of this dataset is created every month. Future updates can be accessed at http://berkeleyearth.org/data/
DOI: 10.5281/zenodo.7653639
title: Precipitation and fire history at landslide sites

description: These data include precipitation and burned area histories for events listed in the NASA Global Landslide Catalog. Each landslide includes a location uncertainty estimate. Precipitation values are the mean of all values within the uncertainty radius, while the fraction burned is computed for burned area. These data are intended to be used with the an RMarkdown notebook available at this GitHub repository
DOI: 10.21335/nmdc-154415697
title: Seasonal variability of the marine CO2 system and nutrients in the Atlantic water inflow to the Arctic Ocean in 2014

description: Marine CO2 system data (total alkalinity, total dissolved inorganic carbon and pH on the total scale) were collected from 8 to 12 discrete depths in January, May, August 2014 on repeat stations in the eastern Fram Strait along 79N, and north of Svalbard. The seawater samples were collected from a CTD-Rosette (12-Niskin bottle) following standard procedures and analyzed at Institute of Marine Research, Tromsø, Norway. The DIC and AT were analyzed after the cruises at the Institute of Marine Research (IMR Tromsø, Norway) following the method described in Dickson et al. (2007). DIC was determined using gas extraction of acidified samples followed by coulometric titration and photometric detection using a Versatile Instrument for the Determination of Titration carbonate (VINDTA 3D, Marianda, Germany). determined by potentiometric titration with 0.1 N hydrochloric acid using a Versatile Instrument for the Determination of Titration Alkalinity (VINDTA 3S, Marianda, Germany). Routine analyses of Certified Reference Materials (CRM, provided by A. G. Dickson, Scripps Institution of Oceanography, United States) ensured the accuracy of the measurements, which was better than ±1 and ±2 mmol kg-1 for DIC and AT, respectively. pH was determined onboard in January 2014 using a diode-array spectrophotometer and the unpurified indicator dye m-cresol purple (mCP) following the method of Clayton and Byrne (1993). The perturbation of the sample pH due to the addition of the indicator dye was corrected for according to Chierici et al. (1999). The precision was generally around ± 0.001. Description of the analytical methods can be found as a summary in the data file. Water samples for analysis of nutrients [NO2, NO-, Si(OH)4, PO4] were frozen until post-cruise analysis by standard methods (Grasshoff et al., 2009) using a Flow Solution IV analyzer from O.I. Analytical, United States. The analyzer was calibrated using reference seawater from Ocean Scientific International Ltd., United Kingdom. Three replicates were analyzed for each sample. Note that we refer to the NO3- concentration throughout the study, but it is actually the sum of NO2 and NO3, since NO2 levels are considered to be low in this area (Codispoti et al., 2005). This study is a contribution to the Carbon Bridge (RCN-226415) project funded by the Norwegian Research Council and the Flagship Research Program “Ocean acidification and effects in Northern waters” within the FRAM-High North Research Centre for Climate and Environment.
DOI: 10.21335/nmdc-872095870
title: Dissolved Inorganic Carbon and Total Alkalinity bottle data from Ocean Weather Station M (66 N, 2 E) from 2008 to 2019

description: Time series of inorganic carbon, alkalinity, and hydrography from the fixed station Ocean Weather Station M (OWSM) in the Norwegian Sea at 66 N 2 E. Measurements over the full water depth of 0-2000 m, with monthly resolution in 2008 and 2009 and seasonal resolution from 2010 and onwards. The current data delivery was collected by the weather ship Polarfront between 2008 to 2009, and by various research vessels from 2010 and onwards. Dissolved inorganic carbon and alkalinity data are from discrete bottle samples while hydrography are measured using sensors. Data submitted to GLODAPv2.2020. November 2019 data points NOT salinity-calibrated.
DOI: 10.5281/zenodo.7875104
title: ESA WorldCereal 10 m 2021 v100

description: ESA WorldCereal 2021 products v100

The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale annual and seasonal crop maps and (where applicable) their related confidence. Every file in this repository contains up to 106 agro-ecological zone (AEZ) products which were all processed with respect to their own regional seasonality and should be considered as independent products.

Naming convention of the ZIP files is as follows:

WorldCereal_{year}_{season}_{product}_{classification|confidence}.zip

The actual AEZ-based GeoTIFF files inside each ZIP are named according to following convention:

{AEZ_id}_{season}_{product}_{startdate}_{enddate}_{classification|confidence}.tif

The seasons are defined in Table 1. Note that cereals as described by WorldCereal include wheat, barley and rye, which belong to the Triticeae tribe. Next to the actual WorldCereal products, this repository contains the files "WorldCereal_AEZ.geojson" that contains the AEZ description and outline, as well as "QGIS_stylefiles.zip" which contains QGIS style files (.qml) for product visualization purposes.




Season
Description




tc-annual
A one-year cycle being defined in a region by the end of the last considered growing season


tc-wintercereals
The main cereals season defined in a region


tc-springcereals
Optional springcereals season, only defined in certain AEZ


tc-maize-main
The main maize season defined in a region


tc-maize-second
Optional second maize season, only defined in certain AEZ.




Note: AEZs for which no irrigation product is available were not processed because of the unavailability of thermal Landsat data.

A scientific paper describing the WorldCereal products and the methodology behind them is available through the link below:

Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu, A., Brombacher, J., Lesiv, M., Bayas, J. C. L., Karanam, S., Fritz, S., Becker-Reshef, I., Franch, B., Mollà-Bononad, B., Boogaard, H., Pratihast, A. K., Koetz, B., and Szantoi, Z.: WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping, Earth Syst. Sci. Data, 15, 5491–5515, https://doi.org/10.5194/essd-15-5491-2023, 2023.

This work was supported by the European Space Agency under contract N°4000130569/20/I-NB.
DOI: 10.20350/digitalcsic/8508
title: SPEIbase v.2.5

description: The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI).
description: Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.3 (http://hdl.handle.net/10261/104742).-- What’s new in version 2.4: 1) Data has been extended to the period 1901-2014 (it was 1901-2013 in v 2.3), based on the CRU TS3.23 dataset.-- For more details on the SPEI visit http://sac.csic.es/spei.
DOI: 10.5281/zenodo.4576906
title: Outputs of the flood-pedestrian simulator applied to the flooded shopping centre and Hillsborough Stadium test cases

description: These .txt files are the outputs of flood-pedestrian simulator applied to the flooded shopping centre and Hillsborough Stadium test cases reported in Shirvani & Kesserwani (2021). For more information about the outputs, read <strong>FLOOD-PEDESTRAN SIMULATOR USER GUIDE (Sect 4, page 7). </strong>
DOI: 10.5281/zenodo.5754302
title: Fire danger indices historical data from the Copernicus Emergency Management Service

description: June, July August consolidated data. Generated using Copernicus Climate Change Service information 2021.
description: Generated using Copernicus Climate Change Service information 2021.
description: {"references": ["Copernicus Programme"]}
DOI: 10.5281/zenodo.7055086
title: Land use and land cover changes in the contiguous United States from 1630 to 2020

description: Through integrating multi-source data including high-resolution remote sensing image-based land use and land cover (LULC) data, model-based land use products, and historical land archives, we reconstructed historical LULC at an annual time scale and 1 km x 1 km resolution in the contiguous United States (CONUS) from 1630 to 2020. Compared to other historical LULC datasets, our data can capture the major characters of LULC as well as provide more accurate information with higher spatial and temporal resolution. The LULC data can be used for regional studies in a wide range of topics including LULC impacts on the ecosystem, biodiversity, water resource, carbon and nitrogen cycles, and greenhouse gas emissions.
DOI: 10.5281/zenodo.7683313
title: Radiosonde and sun photometer data set

description: Radiosonde and sun photometer data set used in the paper "Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America" - Atmospheric Measurement Techniques, by Hack et al. 2023.
DOI: 10.5285/b2f81914257c4188b181a4d8b0a46bff
title: CRU TS4.02: Climatic Research Unit (CRU) Time-Series (TS) version 4.02 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2017)

description: The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.02 data are month-by-month variations in climate over the period 1901-2017, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.

The CRU TS4.02 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2017.

The CRU TS4.02 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.02 is a full release, differing only in methodology from the parallel release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. 

The CRU TS4.02 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.

All CRU TS output files are actual values - NOT anomalies.
DOI: 10.6084/m9.figshare.12758414
title: Experimental data on sediment transport and channel adjustment in a gravel-bed river: stress history effect

description: This repository contains the data used for analysis in the manuscript "Effect of stress history on sediment transport and channel adjustment in graded gravel-bed rivers" submitted to Earth Surface Dynamics by An et al. (2020).<br>It contains the data used to conduct the analysis, including:1. Grain size distribution of bulk sediment used in the experiment2. Temporal variation of the longitudinal profile based on DEM3. Standard deviation of bed elevation (detrended) based on DEM4. Characteristic grain sizes of bed surface5. Sediment transport rate measured by light table6. Sediment output measured by trap7. Characteristic grain sizes of bedload measured by light table
DOI: 10.14291/tccon.ggg2014.eureka01.r1/1325515
title: TCCON data from Eureka (CA), Release GGG2014.R1

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.eureka01.R2 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Eureka, Canada.
description: <br>Cite this record as:<br>Strong, K., Mendonca, J., Weaver, D., Fogal, P., Drummond, J. R., Batchelor, R., & Lindenmaier, R. (2017). <i>TCCON data from Eureka (CA), Release GGG2014.R1</i> [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.eureka01.r1/1325515<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.1594/pangaea.885442
title: Physical oceanography during POLARSTERN cruise PS106/1 (ARK-XXXI/1.1)
DOI: 10.1594/pangaea.897392
title: The global forest age dataset and its uncertainties (GFADv1.1)

description: The global forest age dataset (GFAD v.1.1) provides a correction to GFAD v1.0, as well as its uncertainties.GFAD describes the age distributions of plant functional types (PFT) on a 0.5-degree grid. Each grid cell contains information on the fraction of each PFT within an age class. The four PFTs, needleaf evergreen (NEEV), needleleaf deciduous (NEDE), broadleaf evergreen (BREV) and broadleaf deciduous (BRDC) are mapped from the MODIS Collection 5.1 land cover dataset, crosswalking land cover types to PFT fractions. The source of data for the age distributions is from country-level forest inventory for temperate and high-latitude countries, and from biomass for tropical countries. The inventory and biomass data are related to fifteen age classes defined in ten-year intervals, from 1-10 up to a class greater than 150 years old.The uncertainties are estimated for the inventory derived forest age classes as +/- 40% of the mean age. For the areas where age is derived from aboveground biomass, the uncertainty is derived from the 5th and 95th percentile estimates of biomass, but using the same age-aboveground biomass curves.The GFAD dataset represents the 2000-2010 era.
DOI: 10.1594/pangaea.923418
title: Snow height data generated with a Structure-from-Motion photogrammetry approach at the EGRIP camp site in 2018

description: The here stored snow height data are used to investigate the depositional processes of the snow surface by using a Structure-from-Motion photogrammetry approach to generate near-daily elevation models for a 195m^2 area next to the deep drilling site of the East Greenland Ice Core Project (EGRIP) in northeast Greenland. Based on the snow height information we derived snow height changes on a day-to-day basis throughout the observation period from May to August 2018. Specifically, the average snow height increased by ~11 cm throughout this period while the standard deviation and with this the surface roughness, decreased from 4 cm to 2 cm. Furthermore, we observed irregular snow deposition, erosion and the redistribution of snow, which caused an uneven snow accumulation pattern and resulted in a negative relationship between the initial snow height and the amount of accumulated snow.
DOI: 10.1594/pangaea.931124
title: Snow surface accumulation measured using manual stick measurents, EastGRIP camp Greenland, May 2018

description: Manually measured snow accumulation at 30 glass fibre sticks carried out during 2018 in connection with a photogrammetry Structure-from-Motion (SfM) approach (https://doi.org/10.1594/PANGAEA.923418) at the EastGRIP camp in northeast Greenland. The SfM study and the manual snow height measurements were performed in the same study area. The record gives relative snow surface height changes compared to a zero level defined on the day of installation of the sticks. The record is an average of the individual 30 measurement points. Measurements were carried out using a regular ruler. The estimated precision is less than 0.5 cm.
DOI: 10.1594/pangaea.936082
title: Digital elevation models generated with a Structure-from-Motion photogrammetry approach at the EGRIP camp site in 2018

description: Digital elevation models generated with a photogrammetry Structure-from-Motion approach covering an area of 39 x 5m next to the deep drilling site of the East Greenland Ice Core Project (EGRIP) in northeast Greenland. Data cover the time period from 16th of May (Day of observation period (DOP) 1) to 1st of August 2018 (DOP 78).
DOI: 10.20383/102.0495
title: Atmospheric Chemistry Experiment SciSat Level 2 Processed Data, v3.5 / v3.6

description: ACE SciSat Level 2 Processed Data, v3.5 / v3.6. Temperature, Pressure and Volume Mixing Ratio (VMR) profiles as a function of altitude for many atmospherically relavent molecules: H2O, O3, O2, N2O, CO, CH4, NO, NO2, HNO3, HF, HCl, N2O5, ClONO2, CFC-12 (CCl2F2), CFC-11 (CCl3F), COF2, HCFC-22 (CHClF2), HDO, SF6, OCS, HCN, CF4, CH3Cl, C2H2, CHF2Cl C2H6, N2, CO2, H2CO, H2O2, HO2NO2, HCOOH, CH3OH, COCl2, CCl4, COClF, HCFC-142b (ClF2C-CH3), CFC-113 (Cl2FC-CClF2), HCFC-141b (Cl2FC-CH3), as well as isotopologues for some of these molecules. K. Walker, C. Waymark, A. Jones, C. Boone, P. Bernath (2012). Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) Version 3.5 Validation. https://doi.org/10.1364/FTS.2015.FW1A.4
DOI: 10.21957/81bh-7h58
title: 6-hourly global SO2 data from LH1.4
DOI: 10.21957/cygt-xf49
title: 6-hourly global SO2 data from BLexp
DOI: 10.21957/ddxs-2v95
title: 6-hourly global SO2 data from LH250
DOI: 10.21957/jraa-s174
title: 6-hourly global SO2 data from LH100
DOI: 10.21957/qfam-7474
title: 6-hourly global SO2 data from LHexp
DOI: 10.21957/zpdt-f079
title: 6-hourly global SO2 data from LHexp
DOI: 10.25326/79
title: Reprocessed IWV data from ground-based GNSS network during EUREC4A campaign

description: <p>Integrated Water Vapour (IWV) data were retrieved from the measurements of nearly fifty permanent GNSS stations in the Carribean region and two special station that were installed at the Barbados Could Observatory (BCO) facilities at the end of 2019. The measurements were processed offline with Gipsy-Oasis II v6.4 software in Precise Point Positioning (PPP) mode. The ZTD estimates were screened for outliers and converted using ERA5 surface pressure and weighted mean temperature derived from the 1-hourly pressure-level data interpolated to the 5 min temporal resolution of the ZTD data. The final IWV data are provided with a 5 min sampling for the period from 1 January to 29 February 2020. </p>
DOI: 10.25500/edata.bham.00000564
title: BIFoR FACE environmental monitoring data
DOI: 10.4121/50138917-cf01-4780-9d1d-443593b7e974
title: Simulation data and code accompanying the publication: Dynamic wind farm flow control using free-vortex wake models

description: Code and simulation results for a study on wake steering in wind farms under time-varying inflow inflow conditions for maximisation of power production.<br>A novel model-based controller is developed based on a distributed optimisation approach with the free-vortex wake model. The model of the wind turbine wake and the controller are provided as Julia code. The associated data contains control signals and results from experiments in large-eddy simulation as presented in the associated publication.<br>Code and simulation data supporting the paper "Dynamic wind farm flow control using free-vortex wake models"
DOI: 10.5067/aqua/ceres/ssf-fm3_l2.004a
title: CERES Level 2 SSF Aqua-FM3-MODIS HDF file - Edition 4A
DOI: 10.5067/firms/modis/mcd14dl.nrt.006
title: MODIS Aqua & Terra 1 km Thermal Anomalies and Fire Locations V006 NRT
DOI: 10.5067/modis/mod03.061
title: MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km
DOI: 10.5067/modis/mod06_l2.006
title: MOD06_L2 MODIS/Terra Clouds 5-Min L2 Swath 1km and 5km