cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p139xeul
title: Major element chemistry of water from Old Faithful Geyser and the Firehole River, Upper Geyser Basin, Yellowstone National Park

description: Between April and August 2009 four water samples were collected from the outflow channel of Old Faithful Geyser in the Upper Geyser Bain, Yellowstone National Park. The samples were collected during the main phase of the eruptions when water flow was at maximum rate. In addition, two samples of stream flow were collected in November 2016 from the Firehole River near the U.S. Geological Survey gaging site at Old Faithful (site ID 06036805) above the Upper Geyser Basin and at Biscuit Basin below the Upper Geyser Basin. Geochemical data released here supplement data from Old Faithful Geyser and other Upper Geyser Basin sites published previously in Hurwitz and others (2012).
Samples for major element chemistry were collected in two clean 60 milliliter high-density polyethylene bottles and filtered in the field with a 0.45 micrometer filter. One bottle from each sample was acidified with nitric acid within 24 hours for cation analysis. Chemical analyses were carried out at the U.S. Geological Survey laboratories in Menlo Park, California. The concentrations of sulfate (SO42-), chloride (Cl-), and fluoride (F-) and bromine (Br-) were determined with a Dionex ICS-2000 ion chromatograph with analytical errors lower than 3% for Cl-, F-, and SO42- and lower than 5% for Br-. Total alkalinity as HCO3- was determined by titrating ten milliliters of sample with 0.05 N sulfuric acid to the bicarbonate end-point. The analytical error in the determined alkalinity concentrations is approximately 5%. Cation concentrations were determined using an inductively coupled plasma-optical emission spectrometry (ICP-OES) using a ThermoScientific ICAP 6500 Duo. Analytical errors for Na+, K+, Li+, Al3+ and B are <5%. For SiO2 and the very low concentrations of Mg2+ and Ca2+ in the samples, the analytical errors are <10%.
Ralph Taylor and Jeff Cullen are thanked for sampling, and Deb Bergfeld, Bill Evans and Mark Huebner are thanked for the chemical analyses.
Reference cited:
Hurwitz, S., Hunt, A.G. and Evans, W.C., 2012. Temporal variations of geyser water chemistry in the Upper Geyser Basin, Yellowstone National Park, USA. Geochemistry, Geophysics, Geosystems, 13(12). https://doi.org/10.1029/2012GC004388
DOI: 10.5066/p9g2r6zf
title: Mineralogy, strontium (87Sr/86Sr), oxygen (18O/16O) and carbon (13C/12C) isotope composition, elemental concentrations, and U-Th disequilibrium ages for travertine deposits from various locations in Yellowstone National Park, USA

description: Chemical changes in hot springs, as recorded by thermal waters and their mineral deposits, provide a window into the evolution of Yellowstone?s postglacial hydrothermal system. Travertine precipitated from thermal waters provide a record of chemical changes through time because they can be dated using U-series disequilibrium geochronology. These temporal data, along with measured radiogenic 87Sr/86Sr and stable isotope (carbon and oxygen) compositions and elemental concentrations, allow for the investigation of changes in hydrothermal system chemistry over time. This data release contains analyses conducted on samples of hydrothermal travertine collected from Upper and Lower Geyser Basins and near Madison Junction in Yellowstone National Park between April 2018 and July 2022. They include major and trace element concentrations, strontium (87Sr/86Sr), carbon (13C/12C), and oxygen (18O/16O) isotopic compositions, U-series disequilibrium ages (230Th-U), and X-ray diffraction data.
DOI: 10.3217/dataset-4528-0723-0867
title: Overall
DOI: 10.5067/orbview-2/seawifs/l2/oc/2018
title: SEAWIFS-ORBVIEW-2 Level 2 Ocean Color Data Version R2018.0
DOI: 10.5281/zenodo.11067586
title: Data : Poroelastic Response of a Fractured Rock to Hydrostatic Pressure Oscillations
DOI: 10.5281/zenodo.13728985
title: Back-propagating Rupture: Nature, Excitation, and Implications

description: The dataset contains laboratory experimental data used for the study "Back-propagating rupture: Nature, excitation, and implications".
DOI: 10.5281/zenodo.7466607
title: High-resolution oil and gas methane emission inventory for the Permian Basin

description: This dataset consists of a high-resolution (0.01<sup>o</sup> × 0.01<sup>o</sup>) oil and gas methane emission inventory for the Permian Basin, developed at Environmental Defense Fund (www.edf.org). The Permian Basin in western Texas and southern New Mexico is the largest oil producing basin in the U.S., accounting for more than 40% of national oil production in 2021. It is also the nation's largest methane emitting basin, with recent measurement-based estimates of more than three million metric tons per year. Here, we develop an improved inventory of oil and gas methane emissions for the Permian Basin, based on recent facility-scale measurements and updated oil and gas activity data for the year 2021. Full details for the oil and gas methane emission inventory development and key results can be found in the following journal paper, which is under review at Earth System Science Data journal. Please cite the paper when using the methane inventory dataset: Omara, M., Gautam, R., O'Brien, M.A., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D.R., Chulakadaba, A., Miller, C.C., Franklin, J., Wofsy, S., and Hamburg, S.P. Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution. <em>In review</em>, Earth System Science Data journal (2023). Points of Contact at Environmental Defense Fund: Mark Omara (momara@edf.org) and Ritesh Gautam (rgautam@edf.org).
DOI: 10.5439/1483830
title: aerioe1turn.c1

description: The output dataset for aerio1turn VAP.
DOI: 10.5439/1871014
title: thermocldphase

description: ARM VAP deriving the thermodynamic phase of water in clouds.
DOI: 10.13020/4zwr-t415
title: Biogeochemistry of southwestern Lake Superior and watershed, 2017-2021

description: Between 2017 and 2021, 1368 water samples were collected from Lake Superior and its watershed in the region generally between Duluth-Superior and Ashland, WI. Parameters include forms of carbon, nitrogen, and phosphorus, along with total suspended solids, chlorophyll, and phycocyanin.
description: 76 sites were visited less than ten times and 12 sites were visited at least ten times. Parameters were measured by common methods as detailed in the metadata. The locations sampled each year varied depending on goals. All data are georeferenced.
DOI: 10.5676/dwd_gpcc/clim_m_v2022_250
title: GPCC Climatology Version 2022 at 2.5° : Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historical Data 

description: The new GPCC Precipitation Climatology (V.2022) is focusing on the period 1951-2000 and consists of normals from ca. 86,000 stations. The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time- series of monthly data (with at least 10 complete years of data) available in our database. In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods within the period 1951-2000 (for 1961-1990, 1951-1980 or 1971-2000) with at least 20 years of data. If even this was not possible, normals have been calculated for other 30-year periods 1931-1960, 1941-1970, 1981- 2010 or 1991-2020 or for any other period with at least 10 complete years of data.
This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°. This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest. All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.

In addition, the climatological periods 1931-1960, 1941-1970, 1951-1980, 1961-1990, 1971-2000, 1981-2010, 1991-2020 are available for download. The periods were calculated with at least 20 complete years and consists of data from ca. 20,000-40,000 stations.
DOI: 10.6084/m9.figshare.27169365
title: Supplementary Material for: Low-grade uterine adenosarcoma with overexpression of MDM2 and CDK4 by immunohistochemistry: A case report and literature review

description: Introduction: Uterine adenosarcoma (UA) is a rare malignant mesenchymal neoplasm characterized by benign epithelial and malignant stromal components. Comprehensive genomic profiling has identified a high frequency of murine double-minute type 2 (MDM2) and cyclin-dependent kinase 4 (CDK4) amplification in UA. However, the significance of these genetic alterations in tumor biology remains poorly understood. This report presents a case of UA with immunohistochemically positive MDM2 and CDK4 expression. Case presentation: The patient was a 72-year-old woman with a history of genital bleeding. Magnetic resonance imaging revealed an 11 × 5 × 7 cm mass in the endometrial cavity, extending into the uterine cervix. Biopsy of the tumor showed no malignant findings. The patient underwent total abdominal hysterectomy and bilateral salpingo-oophorectomy. Microscopically, the tumor consisted of benign glandular epithelial components and low-grade sarcoma. The diagnosis was UA stage IA, pT1aNxM0. No sarcomatous overgrowth and no myometrial or lymphovascular invasions were observed. Immunohistochemistry confirmed MDM2 and CDK4 expression in the mesenchymal tissue. No recurrence was observed 12 months post-surgery. Conclusion: The pathological diagnosis of UA was based on histomorphological features. This study demonstrates that immunohistochemistry for MDM2 and CDK4 can help elucidate the molecular genetic features of UA. Further studies are needed to correlate the expression of these genes with the biological behavior of UA.
DOI: 10.17632/fjjtrfv5rv.1
title: Analysis of human carcinoma HEp-2 cell ubiquitome during the initiation of paraptosis-like death by disulfiram oxy-derivatives

description: LC-MS/MS analysis
DOI: 10.18434/m32202
title: Data for Numisheet 2020 uniaxial tensile and tension/compression tests

description: This report describes the test equipment, process, analysis, and data file formats for the Numisheet 2020 tensile and tension/compression testing of the four materials associated with the Numisheet 2020 conference benchmarks. The four materials include two steel alloys, DP980 for Benchmark 1 and DP1180 for Benchmark 2, and two 6000 series aluminum alloys, AA6xxx-T4 for Benchmark 1 and AA6xxx-T81 for Benchmark 2, that will be referred to here as BM1-DP980, BM2-DP1180, BM1-6xxx-T4, and BM2-6xxx-T81, respectively. The testing reported here was requested by the Numisheet 2020 Benchmark Committee and was performed by the NIST Center for Automotive Lightweighting (NCAL) at the National Institute of Standards and Technology in Gaithersburg, MD. The tests were performed at NCAL from October 2019 through January 2020.
DOI: 10.18462/iir.gl.2020.1190
title: Analysis of the ways to implement refrigeration and air conditioning in transport using various types of heat utilizing refrigerators.
DOI: 10.5281/zenodo.10791519
title: Data in support of 'The deep western boundary current of the Southwest Pacific Basin: insights from Deep Argo'

description: Data in support of 'Chandler M, Zilberman NV, Sprintall J. (2024). The deep western boundary current of the Southwest Pacific Basin: insights from Deep Argo. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2024JC021098'

There are 4 netCDF files:



swpb_dwbc_deep_argo_profiles_chandler2024.nc

swpb_dwbc_deep_argo_trajectories_chandler2024.nc

kt_dwbc_deep_argo_time_series_chandler2024.nc

kt_dwbc_deep_argo_seasonal_cycles_chandler2024.nc


swpb_dwbc_deep_argo_profiles_chandler2024.nc contains the delayed-mode profiles of potential temperature and salinity on a 10-dbar pressure grid from the Deep Argo floats profiling within the deep western boundary current of the Southwest Pacific Basin. [pressure; latitude; longitude; time; wmo_id; theta; salinity]

swpb_dwbc_deep_argo_trajectories_chandler2024.nc contains delayed-mode trajectories from the Deep Argo floats profiling within the deep western boundary current of the Southwest Pacific Basin. [latitude; longitude; u; v; pressure; wmo_id; time]

kt_dwbc_deep_argo_time_series_chandler2024.nc contains the 2021--2022 monthly time series of dynamic height, salinity, and potential temperature between 2000--4000-dbar computed from the spatially-averaged Deep Argo profiles within the deep western boundary current as it travels along the western side of the Kermadec Trench. [time; pressure; theta; salinity; dh; region_long; region_lat]

kt_dwbc_deep_argo_seasonal_cycles_chandler2024.nc contains seasonal cycles of dynamic height, salinity, and potential temperature (including the decomposition into heave/spice) between 2000--4000-dbar from the Deep Argo profiles within the deep western boundary current as it travels along the western side of the Kermadec Trench. [pressure; theta; theta_heave; theta_spice; salinity; dh; region_long; region_lat]

Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu/). The Argo Program is part of the Global Ocean Observing System. A full list of acknowledgements can be found in the affiliated publication.

Version history:v1.0 First created (06-March-2024)v1.1 Updated to include accepted publication reference (15-October-2024)
DOI: 10.5281/zenodo.13252873
title: Flow fields of simple cases with various configurations of eddies and background flows

description: This archive corresponds to the data utilized in the manuscript submitted to Geophysical Research Letters [2024GL111599].

The data are compatible with GrADS and other tools.

Please see the included README.pdf file for details about each data file.
DOI: 10.5281/zenodo.13360014
title: Kawah Ijen volcano seismic data 2012

description: Seismic data (vertical channel) from Kawah Ijen volcano at station IJEN. Information regarding the station location and sensor can be found in https://doi.org/10.1002/2014JB011590. Data were collected and archived thanks to Devy Syahbana, Suparjan and Bambang Heri Purwanto from CVGHM (Center for Volcanology and Geological Hazard Mitigation).
DOI: 10.5281/zenodo.8256464
title: Respirometry data

description: Respirometry data for article: Do air-breathing fish suffer branchial oxygen loss in hypoxic water?. The excel file has the data used and raw data is also available in the Acqknowledge files. 3 files per replicate (normoxia, hypoxia and kali = background measurements and CO2 calibrations). For control data also 3 files ( Norm 1, Norm 2 and kali.
DOI: 10.5517/ccdc.csd.cc280j4z
title: CCDC 2085870: Experimental Crystal Structure Determination

description: Related Article: Guoyu Jiang, Qiyao Li, Anqi Lv, Lingxiu Liu, Jianye Gong, Huili Ma, Jianguo Wang, Ben Zhong Tang|2022|J.Mater.Chem.C|10|13797|doi:10.1039/D2TC01093C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24958776
title: BJ_MARGA_Surfacedata.xlsx

description: Observations at BJ station
DOI: 10.6084/m9.figshare.25796806
title: extratropical and tropical eruptions simualtion

description: WACCM simulations
DOI: 10.17638/datacat.liverpool.ac.uk/2513
title: NATO Generic Destroyer Wind Load Coefficients

description: This data repository entry provides results from a wind tunnel experiment in which wind loads for the NATO Generic Destroyer topside geometry (i.e., above the waterline) were measured around the full azimuth of wind directions. The dataset consists of coefficients for drag and side forces, and roll and yaw moments, which were measured for a 1:200 scale model of the ship (equivalent to 0.75 m total ship length).
DOI: 10.23729/f33d3ba8-01b8-47af-90dd-94b7c7861247
title: µCt and virtual histology data of rat hind legs, Collagenase induced osteoarthritis

description: Basic Setup: 
The experiment involves 100 hind legs from 50 rats. This means each rat's pair of hind legs is considered in the study. Injections are given in the left knee, while the right knee is used as a control for comparison. This control method assumes the right knee remains untreated and can thus serve as a baseline or standard for comparing the effects of treatments administered to the left knee. Phosphotungstic acid (PTA) staining is employed to enhance tissue contrast in the imaging. This involves using a 1% PTA solution in 70% ethanol, with the samples being stained for 22 hours prior to scanning. 

Experimental Groups and Timeline:
Collagenase Injection Group: Rats in this group received an injection of collagenase (an enzyme that breaks down collagen) into their left knee. This group is further divided based on when the rats were euthanized (sacrificed) for analysis:
-10 days post-injection (N=10)
-60 days post-injection (N=10)

Sham Injection Group: Rats in this group received a sham injection (saline) into their left knee. This group is also divided based on the euthanasia timeline:
-10 days post-injection (N=10)
-60 days post-injection (N=10)

Naive Group: This group did not receive any injection but was included for comparison. They were also divided based on when they were euthanized:
-10 days (N=5)
-60 days (N=5)

Imaging and Documentation:
The knees of the rats were imaged using a Bruker 1272 µCT scanner, which is a type of micro-computed tomography used for detailed imaging.
More detailed information about the dataset is provided in a readme file associated with the data.
DOI: 10.26050/wdcc/mode-sim_s14201
title: ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-1

description: Project: A Reanalysis (ModE-RA) and a medium-size AGCM ensemble (ModE-Sim) to study climate variability in the modern era (1420 to 2009) - ModE is the output of the PALAEO-RA project hosted at the Oeschger Centre for Climate Change Research between 2018 to 2023, funded by the European Research Council through the H2020 program (ERC Grant PALAEO-RA 787574). The aim of PALAEO-RA was to create a monthly, 3-dimensional climate reconstruction of the past 600 years. Therefore sparse information on historical climate (including early instrumental data, documentary data, and proxy data) of that period were combined with additional physical constraints taken from a large ensemble of simulations with a state-of-the-art atmospheric general circulation model by using an offline data assimilation technique. For more information on the project, visit https://www.palaeo-ra.unibe.ch/. The project output provided here consists of two main products and an additional sensitivity experiment: • ModE-RA, the main reanalysis product, • ModE-Sim, the original AGCM ensemble prior to data assimilation. • ModE-RAclim, a version of the reanalysis product based on an alternative (experimental) covariance estimation (see experiment description for details). While ModE-RA should be the version used for regular analysis, ModE-RAclim should be more seen as a side product only to be used for sensitivity studies. Summary: ModE-Sim (short for Modern Era Simulations) is a medium-size ensemble of model simulations using the ECHAM6 atmosphere general circulation model (model version 6.3.5p2, https://mpimet.mpg.de/en/science/models/mpi-esm/echam). Its setup is based on the PMIP4 experiments, but uses a forced AGCM rather than a fully coupled model. ModE-Sim was originally designed to form the a-priori state for a climate reconstruction (Modern Era Reanalysis, ModE-RA, to be found as separate experiment within this WDC project) that uses an offline data assimilation technique to combine the output of ModE-Sim with historical climate information. However, beyond its original purpose ModE-Sim on its own can be used as a tool to study climate variability, providing a high number of posible climate states that are physically plausible under the given forcings and boundary conditions. This might include, e.g. the separation of internal variability from the response to externally forced signals, understanding of teleconnection patterns, or the study of extreme events. The ensemble uses observed/reconstructed forcings and boundary conditions, while accounting in uncertainties in these. For 1420 to 1850 we provide a 60 member ensemble grouped in three subsets. The subset 1420-1 provided in this dataset group has 20 members and uses PMIP4 radiative forcings. As ocean boundary condition 20 different realizations of SST reconstructions were used and for sea ice analogues were picked from the HadISST2 sea ice, based on the reconstructed SST fields.
DOI: 10.4121/uuid:6e6a9788-49fc-4635-a43d-a2fa164d37ec
title: Rainfall observations datasets from Personal Weather Stations

description: Two datasets of rainfall observations from Netatmo personal weather stations in the Amsterdam metropolitan area (25 months) and the Netherlands (1 month). Included are metadata files with the station locations and a readme.txt file with details on the dataset.
DOI: 10.5067/90syw7apoxkx
title: High Mountain Asia 4-km Dynamically Downscaled Meteorological Data, 2000-2015, Version 1
DOI: 10.5281/zenodo.10219741
title: JGR_Frictional contacts between rough grains with fractal morphology
DOI: 10.5281/zenodo.10846662
title: Supporting Information
DOI: 10.15468/dl.b8orzl
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothriechis aurifer (Salvin, 1860)"
 ]
}

 The dataset includes 157 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006526-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5c9nhd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clematis xiangguiensis W.T.Wang"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139721-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex4rqm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odontaspis ferox (Risso, 1810)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-100.99 12.26,-100.99 42.78,-45.88 42.78,-45.88 12.26,-100.99 12.26))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006526-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvdttv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is October",
 "TaxonKey is Notropis boops Gilbert, 1884",
 "Year 1974-1974"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025808-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.