cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13012/b2idb-4384362_v1
title: Meltwater Meandering Channels on Ice: Centerlines and Images

description: This dataset includes images and extracted centerlines from experiments looking at the formation and evolution of meltwater meandering channels on ice. The laboratory data includes centimeter- and millimeter-scale rivulets. Dataset also includes an image and corresponding centerlines from the Peterman Ice Island. 
All centerlines were manually digitized in Matlab but no distributable code was developed for the process. Once digitized, centerlines were smoothed and standardized following methods and routines developed by other authors (Zolezzi and Guneralp, 2016; Guneralp and Rhoads, 2008). Details about the preparation of the centerlines and processing with these methods is included in the dissertation by Fernández (2018) linked to this dataset. 

"Millimeter scale and Peterman Ice Island centerlines.pdf": This file includes the images of two mm-scale experimetns and the Peterman Ice Island image. Seventeen centerlines were digitized from the former and seven were digitized from the latter. Those centerlines are shown above the images themselves. 

"Centimeter scale rivulet images.pdf": This file includes images corresponding to all cm-scale centerlines used for the analysis presented in the dissertation by Fernandez (2018). Each image has a short caption indicating the run ID and the time at which it was captured. The images were used to extract centerlines to look at the planform evolution of cm-scale meltwater meandering rivulets on ice. Images include 26 centerlines from four different runs. 

"Meltwater meandering channel centerlines.xlsx": This spreadsheet contains the centerline data for all fifty centerlines. The workbook includes 51 sheets. The first 50 are related to each one of the channels. The mm scale and Peterman Ice Island ones are identified using the same IDs shown in "Millimeter scale and Peterman Ice Island centerlines.pdf". The cm-scale centerlines are identified by run ID and a number indicating the time in minutes (with t = 0 min being the time at which water started flowing over the ice block). The naming convention is also associated to the images in "Centimeter scale rivulet images.pdf". The last sheet in the workbook includes a summary of the channel widths measured from every image for each centerline. The 50 sheets with the centerline information have four columns each. The titles of the columns are X, Y, S, and C. X,Y are dimensionless coordinates of the centerline. S is dimensionless streamwise coordinate (location along the centerline). C is dimensionless curvature value. All these values were non-dimensionalized with the channel width. See Fernandez (2018), Zolezzi and Guneralp (2016), and Guneralp and Rhoads (2008) for more details regarding the process of smoothing, standardizing and non-dimensionalization of the centerline coordinates.
DOI: 10.14291/tccon.ggg2014.lauder03.r0
title: TCCON data from Lauder (NZ), Release GGG2014.R0

description: 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 Lauder (NZ).
description: <br>Cite this record as:<br>Pollard, D. F., Robinson, J., & Shiona, H. (2019). <i>TCCON data from Lauder (NZ), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.LAUDER03.R0<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 233<br>Unique Downloads: 10<br> between April 08, 2019 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.15128/r1cv43nw819
title: Fracture attribute scaling and connectivity in the Devonian Orcadian Basin with implications for geologically equivalent sub-surface fractured reservoirs [dataset]

description: Fracture attribute scaling and connectivity datasets from analogue systems are widely used to inform sub-surface fractured reservoir models in a range of geological settings. However, significant uncertainties are associated with the determination of reliable scaling parameters in surface exposures, particularly for fault widths and fracture aperture. This has limited our ability to upscale key parameters that control fluid-flow at reservoir to basin scales. In this study, we present nine 1D‑transect (scanline) fault and fracture attribute datasets from Middle Devonian sandstones in Caithness (Scotland) that are widely used as an onshore analogue for nearby sub-surface reservoirs such as the Clair Field, West of Shetland. Our multiscale analysis confirms power-law behaviours for both length over 8 orders of magnitude (10-4 to 104) and fracture aperture and fault width (including fills) over 4 orders of magnitude (10-6 to 10-2). We also present a 2D fault and fracture topology analysis which allows assessment of the heterogeneity of connectivity and self‑similarity. This multiscale approach provides a new basis for upscaling micro- to meso-scale fracture attributes collected in outcrop analogues for use in static and dynamic reservoir models at reservoir to basin scales.
description: Structural analysis of remote-sensed images, Fieldwork to collect structural data fracture attributes and samples. Microscope examination of samples and measurement of fracture properties, statistical analysis of fractures attributes
DOI: 10.15138/33bv-s284
title: Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Flask-Air Sample Measurements of CO at Global and Regional Background Sites, 1967-Present

description: The CCGG cooperative air sampling network effort began in 1967 at Niwot Ridge, Colorado. Today, the network is an international effort which includes regular discrete samples from the NOAA ESRL/GML baseline observatories, cooperative fixed sites, and commercial ships. Air samples are collected approximately weekly from a globally distributed network of sites. Samples are analyzed for Carbon Dioxide (CO2), Methane (CH4), Carbon Monoxide (CO), Hydrogen Gas (H2), Nitrous Oxide (N2O), and Sulfur Hexafluoride (SF6); and by INSTAAR for the stable isotopes of CO2 and CH4 and for many volatile organic compounds (VOC) such as ethane (C2H6), ethylene (C2H4) and propane (C3H8). Measurement data are used to identify long-term trends, seasonal variability, and spatial distribution of carbon cycle gases.
DOI: 10.1594/pangaea.928272
title: Spatially predicted sedimentation rates, organic carbon densities and organic carbon accumulation rates in the North Sea and Skagerrak

description: The dataset contains spatially predicted linear sedimentation rates, organic carbon densities, organic carbon accumulation rates and the associated uncertainties in the predictions of surficial seafloor sediments in the North Sea and Skagerrak. The results are presented as geo-referenced floating-point TIFF-files with a spatial resolution of 500 m and Lambert Azimuthal Equal-Area projection as spatial reference.The same modelling framework was used for predicting sedimentation rates (cm yr-1) based on 210Pb measurements and organic carbon densities (kg m-3). It is based on the quantile regression forest algorithm (Meinshausen, 2006) to make spatial predictions of the target variables and to estimate the uncertainty in the predictions in a spatially explicit way. The quantile regression forest is a generalisation of the random forest algorithm (Breiman, 2001), which aggregates the conditional mean from each tree in a regression forest to make an ensemble prediction. Quantile regression forest additionally returns the whole conditional distribution of the response variable. This allows to determine the underlying variability of an estimate by means of prediction intervals or the standard deviation.The modelling framework addresses uncertainty in the model by calculating the standard deviation of the quantile regression forest predictions. Furthermore, the sensitivity of the model to variations in the available data was estimated by means of resampling. To that end, the response data were split 25 times into training and test subsets at a ratio of 7:3 and 25 models were subsequently built based on these splits. The sensitivity is derived by calculating the standard deviation of the 25 predictions for every pixel. The total uncertainty is the sum of the model uncertainty and the sensitivity.Organic carbon accumulation rates (g m-2 yr-1) were calculated by multiplying predicted organic carbon densities with predicted sedimentation rates. Uncertainties were propagated by taking the square root of the sum of squared relative uncertainties.
description: The following geoTIFF files are included in the Zip-folder:1. SedRate_quantrf_mean.tif: Linear sedimentation rate (cm/yr) based on 210Pb measurements2. SedRate_quantrf_tot.unc.tif: Total uncertainty (cm/yr) of sedimentation rate predictions3. OCdensity_quantrf_mean.tif: Organic carbon densities (kg/m3)4. OCdensity_quantrf_tot.unc.tif: Total uncertainty (kg/m3) of organic carbon density predictions5. OCAR.tif: Organic carbon accumulation rates (g/(m2yr))6. OCAR_tot.unc.tif: Total uncertainty in the organic carbon accumulation rate calculations
DOI: 10.17632/n8cs4ns97p.2
title: Vineyard dataset for pruning

description: This dataset contains vineyard images collected from 2021 to 2023. Labels were created for each image to indicate vine trunk, unpruned shoots, and pruned shoots. Thus, offering a comprehensive overview of the components of the vine.
• The data collected include photos of vineyards at different periods to provide an overview that includes the main vegetative states of the vine. 
• The data can be used by researchers for computer vision projects, to build automatic pruning systems or other projects related to maintaining life. To date, no similar datasets are available, so this provides an important starting point in this area.
DOI: 10.18140/flx/1440237
title: FLUXNET2015 IT-Tor Torgnon

description: This is the FLUXNET2015 version of the carbon flux data for the site IT-Tor Torgnon.
DOI: 10.20387/bonares-3tr6-mg8r
title: Long-term Field Experiments in Germany

description: This dataset provides detailed information about 205 Long-term Field Experiments (LTFE) in Germany. The research was done in the context of the funding initiative of the German Federal Ministry for Education and Research (BMBF) 'BonaRes' (www.bonares.de). LTFE here are defined as agricultural field experiments with the minimum duration of 20 years, a static design and research in the context of bioeconomy. Experiments with a duration of less than 20 years but reaching this age during the BonaRes funding period (2015-2024) are considered as LTFE as well.
Information about duration, research theme, holding institution, research parameters, location, landuse category, membership in networks, size and experimental setup are provided.
In addition BonaRes performed a classification of the experiments and assigned them to five soil functions. The classification was done according to our knowledge about the data which was collected in the respective LTFE up to now. The following five soil functions were chosen as most relevant for BonaRes: biomass production, storage and filtering of water, storage and recycling of nutrients, carbon storage, habitat for biological activity.
DOI: 10.21227/t2he-zn97
title: Fluorescence Microscopy Images from CBMI

description: Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures. To support the training and testing of deep learning segmentation models, we construct two fluorescence image datasets, ER and MITO, for the ER network and the mitochondrial network, respectively. We provide manual segmentation for these organelle networks in binary masks. The datasets have been used to evaluate and compare performance of the methods proposed in our article “Heuristic Optimization of Deep Learning Models for Segmentation of Intracellular Organelle Networks”.
DOI: 10.25925/20190610
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the years 2018-2019; obspack_co2_1_NRT_v4.4.2_2019-06-10

description: A full list of all contributors for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_NRT_v4.4.2_2019-06-10.html
This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.26030/dc1p-q547
title: Effects of low-dose oxygen ions and protons on cardiac function and structure in male C57BL/6J mice (echocardiogram/ultrasonography)

description: Purpose: Astronauts traveling beyond low Earth orbit will be exposed to high linear energy transfer charged particles. Because there is concern about the adverse effects of space radiation on the cardiovascular system, this study assessed cardiac function and structure and immune cell infiltration in a mouse model of charged particle irradiation. Materials and methods: Male C57BL/6 J mice were exposed to oxygen ions (16O, 600 MeV/n at 0.25 to 0.26 Gy/min to a total dose of 0, 0.05, 0.1, 0.25, or 1 Gy), protons (150 MeV, 0.35 to 0.55 Gy/min to 0, 0.5, or 1 Gy), or protons (150 MeV, 0.5 Gy) followed by 16O (600 MeV/n, 0.1 Gy). Separate groups of mice received 137Cs γ rays (1 Gy/min to 0, 0.5, 1, or 3 Gy) as a reference. Cardiac function and blood velocity were measured with ultrasonography at 3, 5, 7, and 9 months after irradiation. At 2 weeks, 3 months, and 9 months, cardiac tissue was collected to assess apoptosis, tissue remodeling, and markers of immune cells. Results: Ejection fraction and fractional shortening decreased at 3 and 7 months after 16O. These parameters did not change in mice exposed to γ rays, protons, or protons followed by 16O. Each of the radiation exposures caused only small increases in cleaved caspase3 and numbers of apoptotic nuclei. Changes in the levels of α smooth muscle cell actin and a 75kDa peptide of collagen type III in the left ventricle suggested tissue remodeling, but there was no significant change in total collagen deposition at 2 weeks, 3 months, and 9 months. Increases in protein amounts of cluster of differentiation (CD)2, CD68, and CD45 as measured with immunoblots at 2 weeks, 3 months, and 9 months after exposure to protons or 16O alone suggested immune cell infiltration. For type III collagen, CD2 and CD68, the efficacy in inducing protein abundance of CD2, CD68, and CD45 was 16O greater than protons was greater than γ rays greater than protons followed by 16O. Conclusions: Low dose, high energy charged particle irradiation caused mild changes in cardiac function and tissue remodeling in the mouse. This dataset derives result from the cardiac ultrasound and abdominal aorta doppler (echocardiography) assays.
DOI: 10.3886/e209565v1
title: Code for: A Theory of Dynamic Inflation Targets

description: Should central banks' inflation targets remain set in stone? We study a dynamic mechanism design problem between a government and a central bank. The central bank has persistent private information about structural shocks. Firms learn the state from the central bank's reports and form inflation expectations. A dynamic inflation target implements the full-information commitment allocation. The central bank is delegated the authority to adjust the target's level and flexibility one period in advance. A declining natural interest rate and a flattening Phillips curve imply opposite optimal target adjustments. Our results speak to practical policy questions of inflation target design.<br><br>
DOI: 10.4121/uuid:01621202-7ec4-4643-84b5-5f9ec2966004
title: Data from research on optimal water use strategies to mitigate high urban temperatures

description: These data are validation and results of the research on optimal water use strategies to mitigate high urban temperatures, the validation data include both the regional (1km, summer time averaged from 2008-2014, originated from China Meteorological Administration Land Data Assimilation System (CLDAS)) and in-situ data (hourly, from 2000-2017, 20 stations) of Beijing. And the result data is the relationships between cooling effect and water amount which is got from sensitivity analysis of Weather Research and Forecasting (WRF) model (detail data description can see README.doc).
DOI: 10.5065/d6jh3jxx
title: Stratospheric Aerosol Geoengineering Large Ensemble

description: The Stratospheric Aerosol Geoengineering Large Ensemble project is a 20-member ensemble of stratospheric sulfate aerosol geoengineering simulations between 2020-2099 and a 20-member ensemble of control simulations over a reference period between 2010-2030 using the NCAR Community Earth System Model with the Whole Atmosphere Community Climate Model as its atmospheric component (CESM1(WACCM)) described in Mills et al., 2017. The goal of the geoengineering simulations was to maintain not only global mean surface temperature, but also interhemispheric and equator-to-pole surface temperature gradients at 2020 values under a RCP8.5 greenhouse gas scenario. To reach these climate objectives, a feedback-control strategy was employed to manage uncertainty and variability in the climate system by optimizing annual injections at four different locations in the stratosphere, namely at 30°N, 30°S, 15°N and 15°S. This feedback strategy was developed based on several independent single point sulfur injection experiments aimed at identifying the relationships between injection location and surface temperature response (Tilmes et al., 2017, MacMartin et al., 2017, Richter et al., 2017), which was then applied to a single-member simulation (Kravitz et al., 2017). The Stratospheric Aerosol Geoengineering Large Ensemble has been performed the same way as the earlier single-member simulation, only using a newer version of the land model than in Kravitz et al. (2017). The results of these simulations can be used to identify robust regional and seasonal climate change, extremes, and variability as the result of strategically performed geoengineering and to identify reasonable limits of stratospheric aerosol engineering. We hope for large community involvement in analyzing these experiments.

Both control and geoengineering simulations follow the same RCP8.5 pathway. The control simulations were performed over the reference period between 2010 and 2030. Three of these members were continued through 2099. The geoengineering simulations were branched from each of the 20 control simulations in 2020. Sulfur injections using the feedback-control algorithm were applied to each of the 20 members separately to keep the global temperature and hemispheric temperature gradients at 2020 conditions. All 20 members of these simulations continued until 2099. Further details of the simulations will be described in Tilmes et al. (2017, in preparation). Data from these simulations will be made available via the NCAR Earth System Grid. For more information and early access to the data, please contact the project team.
DOI: 10.5067/aura/omi/data3007
title: OMI/Aura NO2 Cloud-Screened Total and Tropospheric Column Daily L3 Global 0.25deg Lat/Lon Grid
DOI: 10.5067/caliop/calipso/cal_lid_l1-valstage1-v3-40
title: CALIPSO LID L1 ValStage1 HDF File - Version 3.40
DOI: 10.5067/suborbital/oracles/p3/2018_v2
title: Aerosol, cloud and related data acquired aboard P3 during ORACLES 2018, Version 2
DOI: 10.5067/temsc-2lcr5
title: JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent Water Height RL05M.1 CRI Filtered Version 2
DOI: 10.5281/zenodo.14643035
title: Effects of conservation agriculture on soil N2O emissions and crop yield in global cereal cropping system

description: Data were extracted from peer-reviewed publications prior to September 2023 that reported the effects of conservation agriculture on N2O emissions or crop yield. Overall, 1270 observations (341 paired data for area-scaled N2O emissions, 147 paired data for crop yield, and 147 paired data for yield-scaled N2O emissions) from 86 articles were collceted.
DOI: 10.5281/zenodo.3523243
title: CCLM outputs Parameters Sensitivity Investigation Central Asia and Europe

description: Monthly values of 2-meter temperature (T2M), total precipitation (TOT_PREC) and total cloud cover (CLCT) derived from the simulations performed with the Regional Climate Model COSMO-CLM (Roeckel et al. 2008) for the CORDEX Central Asia and Europe Domains, used for the paper "Exploring the Parameters Space of the Regional Climate Model COSMO-CLM 5.0 for the CORDEX Central Asia Domain" by RUSSO et al. (geoscientific model development), submitted for the first time on the 31st of October 2019. The data have a spatial resolution of ~25 km. The data cover mainly the year 2000. These are the sensitivity simulations, initialized on the 01.01.2000 using a restart file derived from the reference simulations for the two domains (ncep022_test_belprat1 and europe_test_belprat1) also provided here. For some realization, a file covering the period 1996-2005 is also present. These data are used to assess the model internal variability over the considered period.
DOI: 10.5281/zenodo.3611936
title: Supplementary data for 'Results of the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)'

description: Datasets and model datasheets provided to the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)
DOI: 10.5281/zenodo.3748831
title: New evidence for atmospheric mercury transformations in the marine boundary layer

description: including Isotopic and concentration measurement results, QA/QC, measurement results of Hg and Br on particles, and GIS files for mapping.
DOI: 10.5281/zenodo.3759896
title: Global Storm Tide Modeling on Unstructured Meshes with ADCIRC v55 - Simulation Results and Model Setup

description: Simulation results and model setup for the paper entitled "Global Storm Tide Modeling with ADCIRC v55: Unstructured Mesh Design and Performance". Simulations conducted using ADCIRC v55 on unstructured triangular meshes of the global Earth's ocean. Contains: Global Tide Harmonics: Simulated harmonic constituents of global astronomical tide on various mesh designs (*.53.nc). Local Storm Tide: ADCIRC model setup and simulation results from storm tides forced by Hurricane Katrina and Super Typhoon Haiyan on meshes with different local refinements (1.5 km, 500 m, 150 m) in the storm landfall region. ADCIRC model input files (*.13, *.14, *.15, *.22, *.221, *.222, fort.rotm) Global maximum storm tide elevations (*_maxele.63.nc) Global 3-hourly storm tide elevation time series (*.63.nc) Storm tide elevation and velocity time series (20-min intervals) at selected stations (*.61.nc, *.62.nc) See the README files for further details.
DOI: 10.5281/zenodo.3778452
title: Aerogeophysical characterization of an active subglacial lake system in the David Glacier catchment, Antarctica

description: Profile based data products derived from radar observations and surface laser altimetry of the David Glacier. Data includes: Surface elevation (both radar and laser altimetry) Bed elevation Ice thickness Surface echo strength Basal echo strength Specularity content