cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/st4xh92wm2.1
title: Dataset for:Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis

description: data for bibliometric analysis form Scopus database
DOI: 10.17864/1947.206
title: A new multi-variable benchmark for Last Glacial Maximum climate simulations

description: Reconstruction of climate anomalies for the Last Glacial Maximum (LGM, ca 21,000 years ago), made by combining pollen based reconstructions (from Bartlein et al. 2011) and averaged outputs of LGM simulations from the 3rd round of the Palaeoclimate Model Intercomparison Project (PMIP, Braconnot et al. 2011), under a variational data assimilation technique. This reconstruction is designed to be used for data-model comparison, specifically against the results of PMIP4. The dataset consists of 6 variables: moisture index (the ratio precipitation and equilibrium evapotranspiration), mean annual precipitation (mm), mean annual temperature (degrees C), mean temperature of the coldest month (degrees C), mean temperature of the warmest month (degrees C), growing degree days above 5 degrees C (day degrees C). The standard deviation of these variables is also given. This dataset supersedes the version published at http://dx.doi.org/10.17864/1947.197, where the method of accounting for CO2 change was being applied incorrectly.
description: This dataset is made by combining site-based pollen reconstructions with aggregated outputs of PMIP3. The possible climates are varied and the most likely climate is found under a 3D-Variational data assimilation scheme. The uncertainty from this process is then used to screen out areas where the pollen reconstructions have had a minimal effect. By using a vegetation model, the effect of changing CO_2 concentrations on pollen reconstructions is also accounted for. The error of the resulting reconstruction is also calculated and given as 1 standard deviation from the variables. The individual fields are: grid cell centre latitude grid cell centre longitude moisture index mean annual precipitation (mm) mean annual temperature (degrees C) mean temperature of the coldest month (degrees C) mean temperature of the warmest month (degrees C) growing degree days above 5 degrees C (days degrees C) moisture index standard deviation mean annual precipitation standard deviation (mm) mean annual temperature standard deviation (degrees C) mean temperature of the coldest month standard deviation (degrees C) mean temperature of the warmest month standard deviation (degrees C) growing degree days above 5 degrees C standard deviation (days degrees C).
DOI: 10.25625/t2cgym
title: Replication Data for: Stem and soil nitrous oxide and methane fluxes from rainforest and cacao agroforest on highly weathered soils in the Congo Basin

description: Replication Data for: Stem and soil nitrous oxide and methane fluxes from rainforest and cacao agroforest on highly weathered soils in the Congo Basin
DOI: 10.25820/t6pr-1551
title: Data for A Hybrid Fluxgate and Search Coil Magnetometer Concept Using a Racetrack Core

description: The data is raw measurements from a prototype magnetic field instrument. The data was all captured in a laboratory setup and is intended to demonstrate the utility of the instrument concept to future satellite and rocket applications. There are also a series of matlab scripts which import and process the data to create the figures in the accompanying manuscript.
DOI: 10.3334/cdiac/ffe.ndp058.2016
title: Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (NDP-058.2016)

description: The 2016 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2013. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2013 were published earlier (Boden et al. 2016). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on political units and 1984 human populations to create the new gridded CO2 emission time series. The same population distribution was used for each of the years as proxy for the emission distribution within each country. The implied assumption for that procedure was that per capita energy use and fuel mixes are uniform over a political unit. The consequence of this first-order procedure is that the spatial changes observed over time are solely due to changes in national energy consumption and nation-based fuel mix. Increases in fossil-fuel CO2 emissions over time are apparent for most areas.
DOI: 10.4121/21942a92-e900-42cb-8c89-6a8974e8dc39
title: Raw data supporting the article: Humidity-controlled interactions and lifting of MoS2 on SiO2

description: AFM Image maps and force-distance curves recorded at different relative humidities for both 1L-MoS2/SiO2 and SiO2 including metadata and AFM parameters. The measurements on the monolayer show an increased lifting effect at higher relative humidities. The interactions and effects due to an increase of humidity are explained in the article: 10.1088/2515-7639/adaaa1
DOI: 10.48577/jpl.mtaobmhd
title: Damage Proxy Maps for the 2023 Maui wildfires and 2023 Morocco Earthquake

description: This dataset includes maps that show a proxy for damage due to earthquakes or other disruptions, called damage proxy maps. The maps are calculated from synthetic aperture radar data acquired by the ALOS-2 satellite operated by the Japan Aerospace Exploration Agency (JAXA). One map covers the western part of the island of Maui, where a wildfire caused devastating damage to the city of Lahaina in early August 2023. The second map covers south central Morocco, including the High Atlas Mountains, where an earthquake caused widespread damage on 8 September 2023. The methodology is described in these publications: S.-H. Yun, K. Hudnut, S. Owen, F. Webb, M. Simons, P. Sacco, E. Gurrola, G. Manipon, C. Liang, E. Fielding, P. Milillo, H. Hua, A. Coletta, Rapid Damage Mapping for the 2015 Mw 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO–SkyMed and ALOS-2 Satellites, Seismol. Res. Lett., 86 (2015) 1549-1556. J. Jung, S.-H. Yun, D.-J. Kim, M. Lavalle, Damage-Mapping Algorithm Based on Coherence Model Using Multitemporal Polarimetric–Interferometric SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 56 (2018) 1520-1532.
DOI: 10.5066/f7d798jn
title: Daily streamflow datasets used to analyze trends in streamflow at sites also analyzed for trends in water quality and ecological condition in the Nation's rivers and streams

description: In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support one of the most comprehensive assessments conducted to date of water-quality trends in the United States. In order to interpret these water-quality trends, it is important to also understand how streamflow has changed during the same period. This USGS data release contains all of the input and output files necessary to reproduce the analyses of trends in streamflow described in the U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sir20175006). Data preparation for input to the model is also fully described in the above mentioned report.
DOI: 10.5066/f7tx3ckp
title: Watershed characteristics for study sites of the U.S. Geological Surveys National Water Quality Programs Surface Water Trends project

description: This product consists of 29 datasets of tabular data and associated metadata for watershed characteristics of 1,530 study sites of the Surface Water Trends (SWT) project of the U.S. Geological Surveys (USGS) National Water Quality Program (NWQP). The project is conducting national studies of trends in water quality of streams and rivers for periods ranging from 10 to 40 years, between 1972 and 2012. The data here include both static and time-series characteristics. Static data include primarily physical characteristics which have changed little over this period, such as geology, soils, and topography. Time-series data represent characteristics which may or may not have changed over time, such as land use, agricultural practices, precipitation, hydrologic modifications, atmospheric deposition, and population changes.
DOI: 10.5067/0wf4haaz0vhk
title: OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital V2
DOI: 10.5067/atlas/atl06.005
title: ATLAS/ICESat-2 L3A Land Ice Height, Version 5
DOI: 10.5067/gqzqy2m5507z
title: MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 4
DOI: 10.5067/kinanqkezi4t
title: Arctic Sea Ice Seasonal Change and Melt/Freeze Climate Indicators from Satellite Data, Version 1
DOI: 10.5067/utav7490fepb
title: EASE-Grid Sea Ice Age, Version 4
DOI: 10.5281/zenodo.12168307
title: The Interconnected Nature of Multiple Threats are Impacting Freshwater Biodiversity

description: Freshwater biodiversity is in crisis across the globe: the significant extraction, modification, and pollution of freshwater resources puts these communities and systems at great risk. Here, using probabilistic network analysis, we show that globally and across all taxonomic groups and geographic regions, threats to freshwater species are interconnected and do not occur in isolation. However, we also find that species in higher risk categories are more acutely threatened by single, dominant threats as compared to species at lower risk of global extinction. Determining when and which species are threatened by isolated threats or a suite of co-occurring threats provides important information for designing effective freshwater conservation strategies.
DOI: 10.5281/zenodo.14085686
title: Processed extreme composite cyclone datasets from X-SHiELD simulations.

description: Processed extreme cyclones composites datasets during 2020-2022 from X-SHiELD simulations (see Cheng et al. (2022) and Harris et al. (2023) for details on the X-SHiELD model and experiment setups), including total column water vapour (TCWV in the paper, but here shortened as iwp), total precipitation (pr), and 10-m wind speeds for both the current climate and a warming scenario with a uniform 4-K increase in sea surface temperature.
DOI: 10.5281/zenodo.14717038
title: The Biodiversity Observing System Simulation Experiment (BOSSE v1.0) ERA5-Land Meteorological time series

description: This dataset includes two-year long (2020-2022) time series of ERA5-Land hourly meteorological data datasets over 15 randomly sampled locations in each of the four Köppen Climatic Zones (Continental, Dry, Temperate, and Tropical). These data are necessary imputs of the Python pyBOSSE package corresponding to the Biodiversity Observing System Simulation Experiment (BOSSE v1.0). BOSSE aims to support the development of methods estimating plant diveristy and its relationships with ecosystem functions by means of  simulating synthetic landscapes. These "Scenes" feature communities of various vegetation species whose traits´s seasonality and ecosystem functions (related to soil, water, and carbon fluxes) respond to meteorology (i.e., this dataset) and other environmental factors. BOSSE generates also various types of remote sensing imagery linked to the traits and functions via radiative transfer theory. pyBOSSE is available in https://github.com/JavierPachecoLabrador/pyBOSSE

The files contained must be located in /pyBOSSE/BOSSE_inputs/Meteo_ERA5land
DOI: 10.5281/zenodo.14724869
title: Convective organisation indices based on 3D radar reflectivities

description: This repository accompanies the article "A ML-based perspective on deep convective clouds and their organisation in 3D. Part II: Spatial-temporal patterns of convective organisation" by Sarah Brüning and Holger Tost, which is to be submitted to ACP. 

The datasets here are used to create the plots from the study using code from https://doi.org/10.5281/zenodo.14710228. They contain the convective organisation indices associated to each convective cloud trajectory. The data cover March - August 2019 for a region over tropical West Africa (30° N - 30° S, 30° E -  30° W). Within the folder, one file contains the trajectories aggregated by the cloud ID (agg) and one zip-folder with monthly files for all unique observations of the trajectories.
DOI: 10.5281/zenodo.1481877
title: Secondary Ice Production Parameterization Output - Cosmo Model

description: Secondary ice production via processes like rime splintering, frozen droplet shattering, and breakup upon ice hydrometeor collision have been proposed to explain discrepancies between in-cloud ice crystal and ice-nucleating particle numbers. To understand the impact of this kind of additional ice number generation on surface precipitation, we present one of the first studies to implement frozen droplet shattering and ice-ice collisional breakup parameterizations in a larger-scale model. We simulate a cold frontal rainband from the Aerosol Properties, PRocesses, And InfluenceS on the Earth's Climate campaign and investigate the impact of the new parameterizations on the simulated ice crystal number concentrations (ICNC) and precipitation. Near the convective regions of the rainband, contributions to ICNC can be as large from secondary production as from primary nucleation, but ICNCs greater than 50 L-1 remain underestimated by the model. Addition of the secondary production parameterizations also clearly intensifies the differences in both accumulated precipitation and precipitation rate between the convective towers and non-convective gap regions. We suggest, then, that secondary ice production parameterizations be included in large-scale models on the basis of large hydrometeor concentration and convective activity criteria.
DOI: 10.5281/zenodo.1654297
title: Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC emissions [Dataset]

description: This dataset is composed of simulation outputs of the CHIMERE model that were used to evaluate the VBS-GECKO SOA parameterization as described in the study : Lannuque, V., Couvidat, F., Camredon, M., Aumont, B., and Bessagnet, B. : Modelling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC emissions, Atmos. Chem. Phys., <em>to be submitted soon</em>.<br> <br> <strong>Please cite the original ACP article when using these data in a publication.</strong> <br> The paper also contains more information about how these data were obtained. The dataset is composed of 34 netcdf files. The 17 "daily" files gather the daily averages and the 17 "profile" files present the average day profiles. Victor Lannuque
DOI: 10.5281/zenodo.3594673
title: HadGEM3-GA7.1 radiative kernels

description: This dataset provides radiative kernels based on the HadGEM3-GA7.1 atmospheric model. The kernels are produced with respect to a pre-industrial baseline. For a full description of their construction and comparison to other radiative kernels, see the open access publication in Earth System Science Data: Smith, C. J., Kramer, R. J., and Sima, A.: The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere, Earth Syst. Sci. Data, 12, 2157–2168, https://doi.org/10.5194/essd-12-2157-2020, 2020 Four kernels are available: HadGEM3-GA7.1_TOA_kernel_L19.nc : top-of-atmosphere radiative kernels interpolated vertically to 19 CMIP6 standard pressure levels (1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10, 5, 1 hPa). This kernel should be able to be applied to any model output from CMIP6, following a horizontal regridding. HadGEM3-GA7.1_srf_kernel_L19.nc : as above, for radiation changes at the surface HadGEM3-GA7.1_TOA_kernel_L85.nc : top-of-atmosphere kernels on the native 85-level HadGEM3 vertical grid. This version is only directly useable if dealing directly with native L85 HadGEM3 or UKESM1 model output (and in which case is likely to be more accurate than the L19 version). These versions also contain model level mean pressures and layer thicknesses, so this kernel can be interpolated to other model vertical grids. HadGEM3-GA7.1_srf_kernel_L85.nc : as above for surface fluxes.
DOI: 10.5440/1183767
title: Ground Water Levels for NGEE Areas A, B, C and D, Utqiagvik (Barrow), Alaska, 2012-2014

description: Ice wedge polygonal tundra water levels were measured at a total of 45 locations representing polygon centers and troughs during three summers. Early season water levels, which were still affected by ice and snow, are represented by manual measurements only. Continuous (less than hourly) measurements followed through early fall (~mid-Sep). The data set contains inundation depth (cm), absolute water level and local ground surface elevation (masl). There are a total of 209 files in this dataset. The data were originally provided in Excel workbooks and these files have been preserved within the zip "Original_Files." The workbooks were also transformed and separated by well ID, year, and/or area into 205 extracted files. The Excel files were transformed for archiving with images pulled out into JPEGs, data preserved as CSV files and some methodological information preserved as TXT files. Some functions, features, and formatting were lost during the transformation. Missing data were defined with blank cells. Additional documentation can be found in files labelled with "information.txt" file endings.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1288688
title: CO2 and CH4 Production and CH4 Oxidation in Low Temperature Soil Incubations from Flat- and High-Centered Polygons, Utqiagvik (Barrow), Alaska, 2012

description: The dataset consists of respiration and methane production rates and methane oxidation potential obtained from soil microcosm studies carried out under controlled temperature and incubation conditions. Soils cores collected in 2012 represent the flat- and high-centered polygon active layers and permafrost (when present) from the NGEE Arctic Intensive Study Site 1, Barrow, Alaska. Data presented here will improve our understanding of the temperature controls on the temporal variation in microbially mediated carbon loss potentials from soils impacted by a characteristic microtopographic feature in the Arctic tundra ecosystems. Such an understanding will in turn help parameterize fine-scale models that constrain soil biogeochemistry, particularly relevant to methane cycle under water saturated and oxic conditions. There are three files in this dataset, two csvs and one .pdf.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5445/ir/1000082906
title: INP and aerosol size distribution data from the FIN02 campaign in March 2015
DOI: 10.6073/pasta/5eded15437054e7f72f2350e98c44717
title: McMurdo Dry Valleys LTER - High frequency measurements from Lake Fryxell Meteorological Station (FRLM) - Taylor Valley, Antarctica - 1993 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Lake Fryxell Meteorological Station (FRLM), located in Taylor Valley. BOYM was established in 1993, during the 93/94 field season.