cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5849268
title: Attributing decadal climate variability in coastal sea-level trends

description: The data produced from analysis to be published in Ocean Science Discussions, paper entitled "Attributing decadal climate variability in coastal sea-level trends". NetCDF contains the following sets of fields: 1. Indexing: An <em>index</em> and location (<em>lat, lon</em>) of the coastal grid cells, a locator index attributing each cell to Atlantic, Pacific and Indian Ocean basin, a <em>time</em> (decimal year) index. 2. NEMO model trends (<em>nemo_&lt;component&gt;_trend</em>): Rolling decadal trends at each coastal grid cell from the NEMO model run for steric, manometric (dynamic) and GRD. The sum of these components gives the equivalent to absolute sea level trend. 3. Climate and oceanographic mode indices: The rolling decadal trends in climate indices and the AMOC index calculated from the AMOC model (<em>ci_trend</em>) and their names (<em>ci_index</em>). 4. Empirical Orthogonal Function spatial pattern (<em>eof_&lt;basin&gt;_&lt;component&gt;_D</em>) and Principal Component time series (<em>eof_&lt;basin&gt;_&lt;component&gt;_PC</em>)<em> </em>of the NEMO model trends. 5. Coefficient of linear regression between PC and climate indices (<em>recon_&lt;basin&gt;_&lt;component&gt;_beta</em>) and the rolling trend time series at each grid cell from the reconstruction, sum{ci_trend*beta} (<em>recon_&lt;basin&gt;_&lt;component&gt;_trend</em>). In 4 and 5, the indices are given by basin. The total coastline is a concatenation of the Atlantic, Pacific and Indian basin data in that order. The absolute SSH is given by the sum of components. i.e. the SSH for all coastal cells in order <em>index</em>: recon_sum_trend([index(Atlantic_index); index(Pacific_index); index(Indian_index)] = ... [recon_Atlantic_manometric_trend+recon_Atlantic_steric_trend+recon_Atlantic_grd_trend; ... recon_Pacific_manometric_trend+recon_Pacific_steric_trend+recon_Pacific_grd_trend; ... recon_Indian_manometric_trend+recon_Indian_steric_trend+recon_Indian_grd_trend]
DOI: 10.14291/tccon.ggg2014
title: 2014 TCCON Data Release

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 is the 2014 data release.
DOI: 10.15784/601396
title: Temperature, accumulation rate, and layer thinning from the South Pole ice core (SPC14)

description: This data set provides the input and output data used in Kahle et al. 2020 to reconstruct climate variables at the South Pole. The files below include high resolution water isotopes, water isotope diffusion length, and various reconstructions of temperature, accumulation rate, and thinning function for the SPC14 ice core. An inverse approach was used to combine information from water isotope diffusion length, Dage, and annual-layer thickness to solve for temperature, accumulation rate, and thinning function. Corrections were applied to account for the advection of ice from upstream to yield estimates for the South Pole site.
DOI: 10.1594/pangaea.947909
title: Water conductivity, salinity, temperature, turbidity, pH, fluorescent dissolved organic matter (fDOM), optical dissolved oxygen (ODO), chlorophyll a and phycoerythrin measurements in Admiralty Bay, King George Island, from Dec 2018 to Jan 2022

description: Measurements of water: conductivity, salinity, temperature, pH, turbidity, optical dissolved oxygen (ODO), fluorescent Dissolved Organic Matter (fDOM), Chlorophyll A and Phycoerythrin have been performed. From December 2018 until January 2022 separate measurements were repeated on different 142 days, during all months of the year. They were done in maximally 31 designated sites in Admiralty Bay, King George Island, Antarctica, from a deck of a Zodiac boat. Measurements were performed using YSI Exo Sonde 1 or 2 that has been lowered down up to 100 m depth with target speed of 1 m per second, to show water column stratification. Values have been recorded either every 5 or every second. The measurement data was initially recorded to YSI proprietary format, handled by the manufacturer software embedded in all of the sensors which automatically calculated derived values of properties based on direct measurements. Details on measurement sensors' calibration, resolution, accuracy and calculation formulas can be found in YSI Exo User Manual. Data was downloaded using YSI KorExo software and analyzed through Matlab in which quality check was performed – some extreme and outlier data was extracted from the dataset either because: notes from the crew indicated possible malfunctions of the equipment or other disturbances, sonde reached sea bottom, or other reasons. Despite this process dataset has not gone through any standardized QA/QC procedure. Due to weather conditions, available equipment and other factors on different days measurements have not been done in all sites, or not all properties have been investigated. Collected data consists of large number of information on water properties variability in Antarctic bay, in all seasons, with wide-scope of investigated properties.
DOI: 10.17043/hugelius-2020-peatland-2
title: Maps of northern peatland extent, depth, carbon storage and nitrogen storage
DOI: 10.17632/xfv7z6jzcm.1
title: BCN_OA_SourceApportionment_20142015_20172018

description: These files contain NR-PM1 time series, OA matrices and source apportionment results obtained from an ACSM deployed in the urban background station of Palau Reial in Barcelona in the periods May 2014 - May 2015 and September 2017- October 2018. Other co-located measurements are also included: PM1, black carbon, gases, meteorological variables and episodes.
DOI: 10.17882/96463
title: Water and Sediment data in the coastal zone of the Red Sea and the Arabian (Persian) Gulf (Saudi Arabia)

description: Mean Integrated concentrations of oceanographic parameters in the water column and sediment data in the coastal zone of the Red Sea and the Arabian Gulf (Saudi Arabia)
DOI: 10.18434/t4h594
title: NIST/EPA/NIH Mass Spectral Library-PC Version, NIST Standard Reference Database 1A
DOI: 10.18751/climate/scenarios/ch2018/1.0
title: CH2018 - Climate Scenarios for Switzerland

description: This dateset covers various products of the CH2018 Swiss Climate Scenarios (www.climate-scenarios.ch). The data are based on the EURO-CORDEX regional climate projections plus a number of further data sources. For some products the projections are merged with observational data of the measurement network of MeteoSwiss. The transient daily time-series at stations and at 2km grid are intended for intensive users. The data available from the CH2018 webatlas are primarily meant for practioners. The climate scenarios cover three greenhouse gas emission scenarios (RCP2.6, RCP4.5 and RCP8.5). A variety of meteorological variables at different spatial and temporal scales is available. The CH2018 scenarios represent a priority theme of the National Centre for Climate Services (www.nccs.ch).
DOI: 10.4121/13573814.v1
title: Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting: Adjustment factors for the Netherlands

description: This dataset contains gridded adjustment factors for correction of the Quantitative Precipitation Estimations (QPE) of the two operational C-band weather radars operated by the Royal Netherlands Meteorological Institute (KNMI). The factors are based on the CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting) method, described in Imhoff et al. (2021). <br><br>The factors are available for every yearday (temporal resolution of one day) and are based on ten years (2009 - 2018) of radar and reference rainfall data, as distributed by KNMI. <br><br>For the derivation of the factors, both the operational radar QPE (https://doi.org/10.4121/uuid:05a7abc4-8f74-43f4-b8b1-7ed7f5629a01) and a reference rainfall dataset of KNMI (https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=rad_nl25_rac_mfbs_em_5min&&x-dataset-version=2.0) are used. The reference is not available in real time, but becomes available with a one to two month delay and was therefore available for this climatological factor derivation.<br>The derivation method was as follows per grid cell in the radar domain (Imhoff et al., 2021):<br>1. For every day in the period 2009--2018, an accumulation took place of all 5-min rainfall sums (of both the unadjusted radar QPE and the reference) within a moving window of 15 days prior to and 15 days after the day of interest. <br><br>2. For every yearday, the accumulations (per day) from the previous step were averaged over the ten years.<br>3. Gridded climatological adjustment factors (Fclim) were calculated per yearday as: Fclim(i,j) = RA(i,j) / RU(i,j). In this equation, RA(i,j) is the reference rainfall sum for the ten years and RU(i,j) the operationally available unadjusted radar QPE sum, based on the previous two steps, at grid cell (i, j).<br><br>For more details about the method, see Imhoff et al. (2021). For more information about the reference dataset, which consists of the radar QPE spatially adjusted with observations from 31 automatic and 325 manual rain gauges, see Overeem et al. (2009a,b).<br> <br><br>
DOI: 10.5067/04yyikxw0gjs
title: ICESat-2 and CryoSat-2 L4 Monthly Arctic Snow Depth and Sea Ice Thickness, Version 1
DOI: 10.5067/aura/omi/data2008
title: OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) Daily L2 Global 0.25 deg Lat/Lon Grid
DOI: 10.5067/measures/so2/data406
title: Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2
DOI: 10.5258/soton/wp00660
title: Global 100m Population total adjusted to match the corresponding UNPD estimate

description: RF-based gridded population distribution datasets produced in the framework of the Global Project adjusted to match UNPD totals (from the 2019 Revision of World Population Prospects)
DOI: 10.5281/zenodo.10211900
title: An 800-kyr planktonic 𝜹18O stack for the Western Pacific Warm Pool

description: Our 10 core planktonic 𝜹18O WPWP stack is available as the "WPWP_planktonic_stack.txt" file, which contains the age, mean 𝜹18O, and 1 sigma 𝜹18O alignment uncertainty. The same file is also available under the name "stack.txt" in the Output folder. The stack was produced using alignment software BIGMACS (Lee and Rand et al., 2022).
The previously published depth and planktonic 𝜹18O as well as any radiocarbon or additional age constraints for each core used during stack construction can be found in the Inputs folder. This study's BIGMACS produced age models, depth, and planktonic 𝜹18O data for each core can be found in the Outputs folder under the "results.mat" file or as .txt files in the individual folders named for each core.
Additional BIGMACS input and output files for planktonic 𝜹18O from Timor Sea (near the WPWP) core MD01-2378 (Holborn et al., 2005) are provided to demonstrate the alignment and age model differences between using the our new regional planktonic 𝜹18O WPWP stack and the global benthic 𝜹18O LR04 stack as alignment targets.  Differences between the two stacks during MIS 3 and 4 produce a ~17 kyr error in the alignment of the core to the LR04 stack at ~77 kyr ago (depth 8.81 m in core MD01-2378). Because the planktonic 𝛿18O records near the WPWP share features which differ from those of benthic 𝛿18O, age model results are expected be more accurate when these planktonic 𝛿18O records are aligned to the WPWP stack than to a benthic stack.
Holbourn, A. E., Kuhnt, W., Kawamura, H., Jian, Z. Grootes, P. M., Erlenkeuser, H., and Xu, J.: Stable isotopes on planktic foraminifera of sediment core MD01-2378, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.263757, 2005.
Lee, T., Rand, D., Lisiecki, L. E., Gebbie, G., and Lawrence, C. E.: Bayesian age models and stacks: Combining age inferences from radiocarbon and benthic 𝜹18O stratigraphic alignment, EGUsphere, 1–29, https://doi.org/10.5194/egusphere-2022-734, 2022.
Lisiecki, L. E., and Raymo, M. E.: A Pliocene-Pleistocene stack of 57 globally distributed benthic 𝜹18O records, Paleoceanogr., 20, PA1003, https://doi.org/10.1029/2004PA001071, 2005.
DOI: 10.5281/zenodo.10563472
title: High-resolution throughfall measurement design since 2019, Hainich, Germany, project AquaDiva

description: This dataset contains the sampling design for throughfall data used for the analysis published in (Demir et al., 2023). It gives spatially distributed throughfall measurement points and their forest structural properties in the field site since 2019. The measurement points are grouped into randomly distributed “kernel” points and “transect” points which are not part of the random design. 

The field site and sampling design are described in Demir et al. (2023). The throughfall data is given in an associated published dataset (Demir, Hildebrandt, 2023). The associated soil moisture measurement design is described in Metzger et al. (2017) and Demir et al. (2023). The associated soil moisture design, published (Metzger et al., 2023).
description: Data were collected by project B02 of the Collaborative Research Centre AquaDiva of the Friedrich Schiller University Jena, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1076 – Project Number 218627073
DOI: 10.5281/zenodo.10563567
title: Weekly cumulated throughfall and rain data, April-August 2019, Hainich, Germany, project AquaDiva

description: This dataset contains throughfall and gross precipitation data used for the analysis published in Demir et al., (2023). It gives spatially distributed throughfall collected at weekly intervals and covers following dates April 3 - Aug 21, 2019.

 

Missing data are marked with „na“.
description: Data were collected by project B02 of the Collaborative Research Centre AquaDiva of the Friedrich Schiller University Jena, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1076 – Project Number 218627073
DOI: 10.5281/zenodo.10563871
title: High-resolution soil water content, March-August 2019, Hainich, Germany, project AquaDiva

description: This dataset contains soil water content data used for the analysis published in Demir et al., (2023). It gives spatially distributed soil water contents and covering the following periods:March - Aug 2019The enclosed files cover two different soil depth as follows:topsoil: soil depth 7 cm below surface in „swc_top_depth 7.5 cm March_Aug_2019.csv “subsoil: soil depth 27 cm below surface in „swc_bot_depth 27.5 cm March_Aug_2019.csv “
description: Data were collected by project B02 of the Collaborative Research Centre AquaDiva of the Friedrich Schiller University Jena, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1076 – Project Number 218627073
DOI: 10.5281/zenodo.13995536
title: intimate partner violence and suicidal ideation among middle eastern countries

description: This dataset was collected online in 2022 and 2023 via Google Forms to explore the relationships between various forms of intimate partner violence (IPV) and mental health outcomes, specifically suicidal ideation, depression, and anxiety, among Arabic-speaking women in Arab countries. Due to the highly sensitive nature of IPV and suicidality in these regions (for example, considering cultural sensitivities like masslaha), rigorous privacy and confidentiality measures were implemented. After recording the responses, all data was securely transferred from Google Forms to a secure storage system, and the original responses were removed from the platform to prevent unauthorized access.
description: The study findings highlight significant correlations between psychological abuse and suicidal ideation, with results indicating that women experiencing economic violence are also at a substantially higher risk of suicidality. Additionally, strong associations were observed between suicidality and both depression and anxiety, underscoring the critical psychological impacts IPV has on women in these settings.

Participants were all women, with a mean age of 32.78, who had experienced IPV in the prior six months. Inclusion criteria required participants to (a) be at least 18 years of age, (b) read English at an intermediate level or higher, (c) provide informed consent, and (d) reside in an Arab country while meeting IPV experience criteria based on screening measures. Exclusion criteria applied to those displaying random response patterns, incomplete responses, or existing chronic illnesses like HIV, cancer, or a history of psychiatric hospitalization, which could confound results.

For data collection, we developed an online survey incorporating several validated instruments, including the Cyber Aggression in Relationships Scale (CARS), the Revised Scale of Economic Abuse (SEA2), the Revised Composite Abuse Scale - Short Form (CASR-SF), and the Beck Scale for Suicidal Ideation (BSSI), along with a demographic checklist. This survey, designed in English, was disseminated via social media channels like Twitter, Instagram, and Facebook. To enhance outreach, we identified relevant IPV-related posts and shared the survey link in the comments to target potential participants who might benefit from contributing to this study.

Given the sensitive nature of suicidality-related data, participants were fully informed of the measures taken to safeguard their responses. Our approach emphasized privacy at every step, from secure data transfer to the deletion of data from Google Forms once safely stored. We are pleased to share this anonymized dataset with researchers specializing in women’s studies or IPV-related issues in the Middle East to encourage further investigation and insights into this critical topic.
DOI: 10.5281/zenodo.3517179
title: 4STAR datasets (Oil Sands Measurement Campaign 2018)

description: These are the datasets acquired with the NASA 4STAR (Spectrometers for Sky-Scanning, Sun-Tracking Atmospheric Research) instrument during the Oil Sands Measurement Campaign 2018 based out of Fort McMurray, Alberta. The 4STAR primary output is aerosol optical depth indicative of the total column vertical extinction due to aerosols. For more information see the included 'readme.doc' file as well as the associated technical report (Baibakov et al, 2019). Baibakov, K., LeBlanc, S., Molani, K., Wolde, M., Pistone, K., Flynn, C., Redemann, J. and Johnson, R. (2019), 4STAR hyperspectral sunphotometry measurements during the Oil Sands 2018 campaign near Fort McMurray, Alberta, NRC technical report, 108 p., https://doi.org/10.5281/zenodo.3517172.
DOI: 10.5281/zenodo.4306086
title: University of Nebraska-Lincoln Unmanned Aerial System observations from LAPSE-RATE

description: This dataset contains thermodynamic (pressure, temperature, humidity) measurements from the University of Nebraska-Lincoln unmanned aerial system multirotors during the LAPSE-RATE campaign from 14--19 July 2018. This dataset contains 171 files from two multirotors. File names are coded as per the LAPSE-RATE community standard naming agreement. See README_v1.txt for more information about the naming convention and other details.
description: This work was partially supported by NSF IIA-1539070, IIS-1638099, and USDA-NIFA 2017-67021-25924. Limited general support for LAPSE-RATE was provided by the US National Science Foundation (AGS 1807199)and the US Department of Energy (DE-SC0018985) in the form of travel support for early-career participants. Support for the planning and execution of the campaign was provided by the NOAA Physical Sciences Division and NOAA UAS Program.
DOI: 10.5281/zenodo.4496886
title: Net community production, nutrients, and hydrographic parameters in the South China Sea in October 2014 and June 2015

description: Net community production (NCP) corresponds to the difference between photosynthesis and respiration and can be estimated based on the dissolved oxygen to argon ratio (O<sub>2</sub>/Ar) in the mixed layer. NCP is also an important proxy for the biological pump in the ocean. In order to figure out the influencing factors on NCP in the northern slope region of the South China Sea (SCS), we conducted high-resolution underway measurements of O<sub>2</sub>/Ar and hydrographic parameters using membrane inlet mass spectrometry (MIMS) and multi-parameter water quality logger (RBR Maestro) in the northern slope region of the SCS in October 2014 and June 2015, assisted by nutrients measurements. NCP in the mixed layer was estimated using the biological supersaturation of O<sub>2</sub>/Ar, Δ (O<sub>2</sub>/Ar), and gas transfer velocity (k). All the underway data were compiled into the 5-min interval. Surface water samples for the nutrients analysis were collected from Niskin bottles mounted on the conductivity–temperature–depth (CTD) rosette at sampling stations, the nutrients were then photometrically determined by an auto-analyzer. The mixed layer depth (MLD) and the euphotic depth (Z<sub>eu</sub>) were calculated at stations where CTD casts were made based on potential density and chlorophyll fluorescence profile, respectively.
DOI: 10.5281/zenodo.6600103
title: Model data and namelists for Sterzinger et al. (2022) - "Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations"

description: Model data and namelists for "Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations" Horizontally averaged data is provided in NetCDF4 files (oliktok.nc, ascos.nc, summit.nc) for all output variables. Horizontally averaged vertical momentum flux is provided in a separate file for each simulation (*_vert_momentum_flux.nc files). Info on variables is provided by the RAMS model variable guide PDF available here. Model namelists are provided for each simulation (*_RAMSIN files). ASCOS initialization sounding info is provided within the ASCOS_RAMSIN file - initialization soundings are provided in SOUND_IN files.
DOI: 10.5281/zenodo.7515519
title: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory

description: Data and Matlab scripts for repeating the analysis presented in the paper. In addition, global monthly climatological LRUs are provided at 0.05° resolution for the period 2001-2010 as nc-files.
DOI: 10.5439/1025143
title: ARM: Atmospheric Emitted Radiance Interferometer (AERI): channel 1 data

description: Atmospheric Emitted Radiance Interferometer (AERI): channel 1 data
DOI: 10.5439/1025228
title: ARM: Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09

description: Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09
DOI: 10.5439/1025265
title: ARM: Raman lidar (RL): raw backscattered profiles at 355, 387, and 408 nm

description: Raman lidar (RL): raw backscattered profiles at 355, 387, and 408 nm
DOI: 10.5439/1182009
title: ARM: Ka ARM Zenith Radar

description: Ka ARM Zenith Radar
DOI: 10.5445/ir/1000156457
title: MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature

description: The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as rerieved from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atnmosphere mode of MIPAS is provided. The data version is V8.
DOI: 10.5683/sp2/tgchv6
title: Snelgrove et al HESS 2020 submission

description: Data used to develop files in Snelgrove et al. HESS submission
DOI: 10.1594/pangaea.696408
title: (Appendix A) Stable oxygen and carbon isotope ratios of Cibicidoides wuellerstorfi from ODP Hole 130-806B on the Ontong Java Plateau