cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7sj1j42
title: Landslide distribution triggered by the 2005 Northern Pakistan earthquake using SPOT 5 imagery

description: This inventory was originally created by Sato and others (2007) describing the landslides triggered by the M 7.6 Kashmir, Pakistan earthquake that occurred on 8 October 2005 at 03:50:40 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.

With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
DOI: 10.5067/4zl43a4619af
title: MODIS Mosaic of Antarctica 2008-2009 (MOA2009) Image Map, Version 2
DOI: 10.5067/970bcc4dhh24
title: OCO-3 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing V10.4r
DOI: 10.5067/atlas/atl03.002
title: ATLAS/ICESat-2 L2A Global Geolocated Photon Data, Version 2
DOI: 10.5067/trmm/tmpa/month/7
title: TRMM (TMPA/3B43) Rainfall Estimate L3 1 month 0.25 degree x 0.25 degree V7
DOI: 10.5281/zenodo.3965683
title: In-time particle simulation (Itpas) - sample data

description: Itpas is a Lagrangian particle dispersion model, online coupled to the weather forecast model COSMO. This archive contains a sample data set of the Itpas output and the associated meteorological data fields. The model domain covers an area from eastern Germany to central Poland including the cities of Berlin and Poznan (lower left corner: 51°N 12°E, upper right corner: 54.4°N 19.3°E) and has a size of 167 x 150 grid cells with a spatial resolution of 2.8 km and 50 vertical levels.<br> The data is assigned to May 31, 2017 form 08 UTC to 23 UTC l.nc -&gt; Atmospheric data produced by the COSMO-model part_t001200_p001.nc<br> part_t001260_p001.nc -&gt; Trajectories emitted in the morning from 08:50 to 09:45 UTC part_t001380_p001.nc<br> part_t001440_p001.nc -&gt; Trajectories emitted at noon from 11:40 to 12:30 UTC mean_traj.txt -&gt; position of the mean trajectory [time rot_lon rot_lat z_sea z_surface]<br> stda_traj.txt -&gt; standard deviation of the mean trajectory The data can be used as sample data for the following software:<br> https://github.com/mttfst/trajectory-plot<br> https://github.com/mttfst/trajectory-cross-section
DOI: 10.5281/zenodo.4265209
title: MOSEV: A global burn severity database from MODIS (2000-2020)

description: To advance in the fire discipline as well as in the study of CO<sub>2</sub> emissions it is of great interest to develop a global database with estimators of the degree of biomass consumed by fire, which is defined as burn severity. We present the first global burn severity database (MOSEV database), which is based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area (BA) products scenes since November 2000 to near real time. To build the database we combined Terra MOD09A1 and Aqua MYD09A1 surface reflectance products to obtain dense time series of the Normalized Burn Ratio (NBR) spectral index, and we used the MCD64A1 product to identify BA and the date of burning. Then, we calculated for each burned pixel the difference of the NBR (dNBR), and its relativized version (RdNBR), as well as the post-burn NBR which are the most commonly used burn severity spectral indices. The database also includes the pre-burn NBR used for calculations, the date of the pre- and post-burn NBR and the date of burning.
description: MOSEV_tiles.zip contains the whole dataset, while the smaller zip files contains the MODIS's tiles timeseries separately. It allows to download the entire dataset or just specific tiles.
DOI: 10.5281/zenodo.5115557
title: Data_TC_Cluzet

description: This archive includes the dataset associated with the release of CrocO_v1.1 snowpack ensemble data assimilation system in the submitted manuscript: Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network, Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont, (submitted) The model source code and required librairies (open-source) are archived at: 10.5281/zenodo.5111449 This archive includes the several directories : namelist: the original SURFEX namelist used to perform the assimilation experiments notebooks: notebooks to produce the figures of the article scripts: pre/post processing scripts s2m: spinup: files used to initialize the simulations
DOI: 10.5281/zenodo.5518942
title: Weather dataset from Vallon de Nant, Switzerland (from 16 August 2016 to 14 October 2018)

description: Weather data collected in the Vallon de Nant, Switzerland from 16 August 2016 to 14 October 2018<br> Data collected by the reasearch team of Bettina Schaefli at the Institute of Earth Surface Dynamics (IDYST), Faculty of Geosciences and Environment, University of Lausanne, Lausanne, 1015, Switzerland for further information, please contact:<br> anthony.michelon@unil.ch<br> bettina.schaefli@giub.unibe.ch Grant: SNSF PP00P2\_157611
DOI: 10.5281/zenodo.5600497
title: Dataset of preprint: Effects of dimensionality on the performance of hydrodynamic models

description: The dataset supports the findings of the preprint entitled: Effects of dimensionality on the performance of hydrodynamic models. The manuscript presents a comparison of three models of distinct dimensionalities applied for the same reservoir. Therefore, the dataset is compound of: Boundary conditions for the hydrodynamic models (meteorological conditions, inflow discharges and water temperature, and outflow discharges), which were obtained through measurements and simulations (inflow discharges and water temperature). In situ measurements of temperature and flow velocities were used as a reference to evaluate the performance of each model. Results of Lake Analyzer (a tool to calculate several indexes commonly used for lake physical states), estimated with measurements and model results. Models set up and results. Relevant scripts used to perform the analysis, in MATLAB. Their respective sources are mentioned over the manuscript.
DOI: 10.5281/zenodo.5940044
title: 2862 water samples from Vallon de Nant analyzed for stable water isotopes (dD, d17O, d18O) and electric conductivity

description: Database gathering 2862 water samples from the Vallon de Nant (Westerm Swiss Alps) analyzed for stable isotopes of water (dD, d17O, d18O, d-excess, LC-excess, 17O-excess) and electric conductivity. <em>Financial support</em>. This research has been supported by the Swiss National Science Foundation (SNSF; grant no. PP00P2_157611). FILE INFO: time [dd/mm/yyyy HH:MM, UTC]<br> latitude [decimal degrees, WGS84]<br> longitude [decimal degrees, WGS84]<br> elevation [masl]<br> point: point name<br> dD [‰]<br> d17O [‰]<br> d18O [‰]<br> d-excess [‰]<br> LC-excess [‰]<br> 17O-excess [per meg]<br> conductivity [µS/cm]
DOI: 10.5281/zenodo.6620983
title: Tool and python programs for the paper "The Impact of Altering Emission Data Precision on Compression Efficiency and Accuracy of Simulations of the Community Multiscale Air Quality Model"

description: Here is the content: * file dir_list which contains information about each file's content * the tool is used to alter a data file by keeping a specific number of significant digits for the paper "The Impact of Altering Emission Data Precision on Compression Efficiency and Accuracy of Simulations of the Community Multiscale Air Quality Model' * pythons program and its associated data to create each figure and table in the paper (data for Table 07 is not included due to size is larger than 50GB)
DOI: 10.5281/zenodo.6624164
title: 2016 CMAQ v531 12kim CONUS domain test dataset for 1/1 - 1/5/2016

description: 2016 CMAQ v531 12kim CONUS domain test dataset for 1/1 - 1/5/2016, a run script, cmaq_run_script is included which also provides details instructions to re-organize these input data in the way the run script is designed.
DOI: 10.5281/zenodo.7655136
title: 3D cloud effect bcXCO2 biases

description: These data files are associated with the AMT paper "Insights into 3D cloud radiative transfer effects for OCO-2" by<br> Massie, Cronk, Merrelli, Schmidt, and Mauceri
DOI: 10.5281/zenodo.8403744
title: AEWDAT - African Easterly Waves: Identified and Tracked Wave Troughs

description: This data set contains identified wave troughs within African Easterly Waves, utilizing 700 hPa curvature vorticity data from the ERA5 reanalysis spanning from June to October over the period 1940-2022. It encompasses all identified wave troughs and also includes extracted tracks derived from these identified features.


The identification methodology closely follows the approach outlined by Belanger et al. (2016). Troughs and ridges are determined as zeros in Curvature Vorticity Advection fields. Threshold criteria, based on a climatology and the second derivative, are applied to extract the troughs. Tracking is accomplished through a heuristic that connects wave troughs meeting specified criteria for speed and average speed over a 36-hour period.


The JSON files within this dataset provide a description of the wave troughs, structured as follows:



	
Each file contains one year of data, with one set each.
	
Each set includes:
	

		
A list of timestamps, where each timestamp contains the identified troughs at a specific time. Each time entry contains a list of objects (wave troughs), with each containing a set-unique identifier and properties describing the wave trough, such as its bounding box and line string representation.
		
The data graph, consisting of a list of edges, wherein each edge connects one parent object to multiple child objects, forming the tracking graph. A connection between a parent and child indicates that they represent the same wave trough entity, with the child being the next manifestation of the parent entity along the time line.
		
A list of tracks, with each track represented as a data graph as well.
	
	



Furthermore, a zip-file (wtsnc.zip) contains netCDF representations of the wavetroughs as labeled data field, where the labels correspond to the identifier in the JSON file. The file contains fields for all wavetroughs, only wavetroughs making up the tracks, and the tracks labeled by track ID. Be careful when extracting, the data is heavily compressed.


Further information regarding this strategy can be found in an upcoming publication, soon to be submitted for review.
description: The research leading to these results has been accomplished within the project C3 "Predictability of tropical and hybrid cyclones over the North Atlantic Ocean" of the Transregional Collaborative Research Center SFB/TRR 165 "Waves to Weather" funded by the German Science Foundation (DFG).
DOI: 10.6084/m9.figshare.25265755.v2
title: Tumor budding in pancreatic carcinoma(1).xlsx

description: We herein assessed morphological and semi-automatized quantification using QUPATH software of tumor budding in pancreatic carcinoma.In this studied, we demonstrated no statistically significant association between both methods.We also found a significant association of tumor budding in pancreatic carcinoma and overall survival.
DOI: 10.1594/pangaea.934731
title: Temperature measurements from treatment and control plots of a passive warming experiment at a cushion bog on Tierra del Fuego, Argentina

description: We conducted our study in a cushion bog dominated by Astelia pumila on Tierra del Fuego, Argentina (54.972° S, 66.734° W). We experimentally investigated how a cushion bog plant community responded to elevated surface temperature conditions. We installed a year-round passive warming experiment using semicircular plastic walls that raised average near-surface air temperatures between 0.4°C and 0.7°C (at the three of ten treatment plots which were equipped with temperature sensors). We conducted chamber gas flux measurements to characterize differences in carbon dioxide exchange dynamics between the treatment and control plots.
DOI: 10.17632/mf4gf36r9n.1
title: data of acp-2022-250

description: This data is from the study which is submitted the Atmospheric Chemistry and Physics. This data were the VOC concentrations which were collected at three supersites (Jinshan: JS; Pudong: PD; Qingpu: QP) in Shanghai, China from January 1 to March 31 2019. At the JS site, the VOCs was collected and analyzed by an online gas chromatography (GC866, Chromato, France) equipped with flame ionization detector (FID). In brief, after the removal of water, the samples were separated for low-carbon (C2-C6) and high-carbon (C6-C12) compounds at the temperature of -5℃ and 25℃, respectively. Then the gas was analyzed by FID after high temperature desorption (380℃) and column chromatographic separation. At the PD site, VOCs was measured by gas chromatography (GC580-FID, PE, USA) and TD300. The samples were separated at -30℃, after water was removed. Then the gas was determined by FID, after high temperature desorption (325℃) and column chromatographic separation. At the QP site, VOCs were determined by gas chromatography (GC5000 BTX/VOC, AMA, German) and a flame ionization detector (FID). The samples were condensed low-carbon (C2-C6) compounds and high-carbon (C6-C12) compounds under the temperatures of 15℃ and 30℃, respectively. Then the gas was analyzed by FID after high temperature desorption (230℃) and column chromatographic separation. The R2 of all of the VOCs were ≥ 0.995. The accuracy of 95 % of compounds was ≤ ± 20 %. The minimum detection limit (MDL) of most VOC components was ≤ 0.15 ppb. This data provide new insights into the accurate air-quality control at a city level in China due to a wide variety of land-use types, and highlight that the simultaneous multiple-site measurements in the megacity or city cluster could be more appropriate to fully understand the VOC characteristics relative to a single-site measurement performed normally.
DOI: 10.18434/t4/1502499
title: Hestia Fossil Fuel Carbon Dioxide Emissions Inventory for Urban Regions

description: Hestia Fossil Fuel Carbon Dioxide Emissions Inventory for Urban Regions (Hestia
            FFCO2) provides data products for Los Angeles Basin, Northeast corridor, Indianapolis,
            and other U.S. Cities. Hestia FFCO2 datasets quantify greenhouse gases (GHG), such as
            carbon dioxide, emitted by urban regions, since cities are major contributors of
            anthropogenic GHG emissions. The Hestia FFCO2 datasets provide high spatial and temporal
            resolution CO2 concentrations at sub-county resolutions and annual/hourly time scales,
            specific to the region. This data product builds upon the Vulcan Project, which grids
            U.S. national emissions. Hestia FFCO2 datasets are currently available from 2010 for Los
            Angeles, Indianapolis, Baltimore, and Salt Lake City.
DOI: 10.5066/f7xg9q0x
title: Plant Phenology Site Phenometrics + Accumulated Growing Degree Day Calculations for the continental United States (2009-2016)

description: This datafile consists of a subset of plant phenology observations drawn from the USA National Phenology Networks National Phenology Database (www.usanpn.org). The data were collected by citizen and professional observers and archived and distributed by the USA National Phenology Network. Protocols are available in Denny et al. (2014). This datafile consists of plant phenology observations that were used in an effort to construct predictive models of phenophase transitions using accumulated growing degree days based on PRISM daily minimum and maximum temperature data. The phenology data were queried from the USA National Phenology Network on 9-25-16.
DOI: 10.5066/p9ox6tt1
title: Hydrologic Data Collected at Leaky Weirs, Cienega Ranch, Willcox, AZ (March 2019 - October 2020)

description: This dataset contains hydrological data collected at a series of leaky weirs on a working ranchland site in a semiarid ecosystem in Cochise County, Arizona, from 2018-2020. Leaky weirs are a type of structure being experimented with by land managers in aridlands to reduce peak flow events and increase recharge to the aquifer. The weirs are constructed of rock cemented into place in areas of exposed bedrock within the channel are built to allow for water to leak through slowly. Three sites were instrumented for monitoring, one control and two sites treated with 'leaky weirs'. At each site, at least one pressure transducer was installed in a piezometer to measure water level. Each site also had multiple "3-in-1" gauges, which included two iButton temperature sensors at different depths to capture temperature changes associated with changing water levels and a crest stage gauge to capture the high-water mark. Finally, each site had at least one 'hydrocam' to capture photos of flow events. The "LeakyWeir.zip" data release zip file includes the following directories: HydroCamData which contains one daily representative jpg image from each hydrocam and jpgs of all hydrocam photos with visible surface flow; SpatialData which includes a shapefile of instrument locations and a CSV file with instrument height data; ThreeInOneData which includes data from the 3-in-1 sensors, specifically the temperature and depths of iButton sensors; TransducerData which includes raw and corrected pressure transducer data, reference read data used to correct the transducer data as well as the script for interpolating weather station data. The "LeakyWeir_noPhotos.zip" contains everything but the photos for faster download times.
DOI: 10.5281/zenodo.4072257
title: Kivalina subsidence observations

description: Thaw-season subsidence in [m] near Kivalina, Northwestern Alaska, derived from Sentinel-1 observations. For each year yyyy from 2017-2019: yyyy_de_dl.tif contains the early-mid-season (10 June - 10 August) and late-season (10 August - 10 September) subsidence estimated from the spline reconstruction yyyy_timeseries.tif contains the regularly sampled, unconstrained subsidence
DOI: 10.5281/zenodo.4072407
title: Kivalina ground ice map

description: Ground ice classification for a ~ 65 km<sup>2 </sup>area near Kivalina, Northwest Alaska. Source: Manual image interpretation, field notes Code: 0: ice poor | 1: ice rich | 2: indeterminate | 3: infrastructure Include: Included in comparison with late-season subsidence 0: No | 1: Yes
DOI: 10.5281/zenodo.4576026
title: Model outputs for figures in Climate of the Past "Impact of Southern Ocean surface conditions on deep ocean circulation at the LGM: a model analysis"

description: This dataset contains the model outputs from iLOVECLIM (LGM, PMIP4) which are necessary to draw the figures of the manuscript submitted to Climate of the Past, called "Impact of Southern Ocean surface conditions on deep ocean circulation at the LGM: a model analysis". It also contains the winter and summer sea-ice limits reconstructed at the LGM based on a compilation of geological sea-ice records.
DOI: 10.5439/1025214
title: ARM: Ka ARM Zenith Radar (KAZR): general mode

description: Ka ARM Zenith Radar (KAZR): general mode
DOI: 10.5439/1046186
title: ARM: AOS: Ultrafine Condensation Particle Counter

description: AOS: Ultrafine Condensation Particle Counter
DOI: 10.7939/dvn/kuiz7g
title: Replication Data for: Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada

description: Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada. The Cryopshere. Ron R. Togunov, Natasha J. Klappstein, Nicholas J. Lunn, Andrew E. Derocher, Marie Auger-Méthé. Files contain information on drifting polar bear collars used to assess the motion of 20 passively drifting high-accuracy GPS telemetry collars originally deployed on polar bears, Ursus maritimus, in western Hudson Bay, Canada to validate a widely used sea ice drift dataset produced by the National Snow and Ice Data Centre (NSIDC).
DOI: 10.1594/pangaea.803221
title: Sea ice conditions during POLARSTERN cruise ARK-XXVII/3 (IceArc)

description: Visual observations of sea-ice conditions were performed hourly from the bridge of Polarstern. The observations followed the ASSIST protocol.Observer team: Anique Stecher, Ben Lange, Carmen David, Charlie Thuroczy, Catherine Lalande, Christian Katlein, Christiane Uhlig, Daniel Scholz, Eva Kirschenmann, Hauke Flores, Heidi Soerensen, Hendrik Sander, Ilka Peeken, Kerstin Oetjen, Larysa Istomina, Mar Fernandez Mendez, Marcel Nicolaus, Marie Le Guitton, Martin Schiller, Muntsa Roca, Raquel Somavilla, Renate Degen, Scott Sorensen, Sebastian Albrecht, Stefan Hendricks, Stefanie Rettig, Thomas Krumpen, Viena Puigcorbe
DOI: 10.1594/pangaea.961119
title: A regional pCO2 climatology of the Baltic Sea

description: Based on direct surface pCO2 observation and a model-based extrapolation technique, we established a regional pCO2 climatology of the Baltic Sea. Observations from June 2003 to Dec. 2021 are obtained from the SOCAT version 2022 data collection and largely based on ICOS DE-SOOP Finnmaid data. The extrapolation technique uses model-based patters of variability to create observational data-constrained, gap- and discontinuity-free mapped fields including local error estimates without the need for or dependence on ancillary data (like, e.g., satellite sea surface temperature maps). Details on the pCO2 climatology and the model-based extrapolation technique are found in Bittig et al. (2023). Here we make the corresponding dataset available with monthly climatological pCO2 value as well as a linear pCO2 time trend for the Baltic Sea domain. Both value and trend are provided with their error estimate and are centered on the 15th of each month. Besides, the long-term trend 2003-2021 in pCO2 as well as its error estimate is given.
description: Content in Baltic_Sea_pCO2_climato.csv:Month (unitless) Month of the climatology (1..12 = January..December); pCO2, pCO2_1sigma, pCO2_trend, pCO2_trend_1sigma, and number_of_patterns are centered on the 15th of each monthLongitude in degE Longitude of the data pointLatitude in degN Latitude of the data pointpCO2 in μatm Climatological monthly surface CO2 partial pressure in microatmospheres (on the 15th of each month)pCO2_1sigma in μatm Error estimate of pCO2pCO2_trend in μatm d-1 Climatological monthly surface pCO2 trend in microatmospheres per day (on the 15th of each month)pCO2_trend_1sigma in μatm d-1 Error estimate of pCO2_trendnumber_of_patterns (unitless) Average number of spatial variability patterns used in the ensemble mean of the mapping (see Eq. 25 in Bittig et al.)Content in Baltic_Sea_pCO2_long_term_trend.csv:Longitude in degE Longitude of the data pointLatitude in degN Latitude of the data pointpCO2_long_term_trend in μatm yr-1 Long-term surface pCO2 trend (G, Eq. 30 in Bittig et al.) over the 2003-2021 period in microatmospheres per yearpCO2_long_term_trend_1sigma in μatm yr-1 Error estimate of pCO2_long_term_trend
DOI: 10.17638/datacat.liverpool.ac.uk/1272
title: Holocene records of Sediment Inferred [lake water] Total Phosphorus concentration (SI-TP) and landscape phosphorus yield