cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1463848
title: High Accuracy 14C Measurements for Atmospheric CO2 Samples from the South Pole and Point Barrow, Alaska by Accelerator Mass Spectrometry

description: Accelerator mass spectrometry (AMS) was used to obtain 14CO2 measurements from flasks collected at the South Pole and Point Barrow, Alaska, USA, at the Scripps Institute of Oceanography network station (Keeling et al., 1989) (see also http://cdiac.ess-dive.lbl.gov/trends/co2/sio-bar.html). Air samples for years 1985-1991, originally collected in 5-liter flasks, had been stored in Pyrex sealed-off tubes after stable isotope analysis (Roeloffzen et al., 1991). These samples were more or less evenly distributed over time.Typically, the extracted CO2 from 2-5 flasks from consecutive weekly measurements were put together in one flame-off tube. The tubes were broken in the standard inlet arrangement of a dual inlet stable isotope ratio mass spectrometer,and a stable isotope measurement was performed using the same instrument used in the original analyses (Roeloffzen et al., 1991).Then, the CO2 was cryogenically trapped and converted to graphite (Aerts-Bijma et al., 1997). For the majority of the samples the amount of CO2 was sufficient for our regular, 2 mm diameter AMS targets, containing about 1.5 mg of C. For most of these, two targets could be produced from one CO2 flask. In some cases, however, the amount of CO2 was only sufficient for a smaller target.Individual standard samples were graphitized along with the corresponding atmospheric CO2 samples, so that any day to day variability in the graphitization circumstances would be visible in the standard samples.The 14C is reported as ∆14C as per Stuiver and Polach 1977. More information about 14C standards can be found at:http://www.c14dating.com/agecalc.html.More information about sample preparation and analysis at the Groningen AMS can be found at: http://www.rug.nl/ees/onderzoek/programmas/radiocarbonams/sampleTreatmentAms The primary literature reference for the material presented here is Meijer et al. (2006).The statistical analysis included curve fitting described by Cleveland (1979). A seasonal pattern was then fit to the residuals, and the data are given in terms of these trends and departures from them.
DOI: 10.15485/1464209
title: Gridded Global Cultivation Intensities

description: Global digital databases of natural vegetation and land use were compiled, for use in climate studies, at 1 degree resolution from over 100 published sources. A series of 6 data sets, derived from the original compilations, was prepared and archived on tape at the National Center for Atmospheric Research (NCAR) (Matthews, 1984). The first is a vegetation data set representing natural (pre-agricultural) vegetation based on the UNESCO classification system. The second, this database, derived from the land-use compilation, is a cultivation-intensity data set defining the areal extent of presently-cultivated land in 1 degree cells. *Note: this is a Gridded Cultivation Intensities [values range from 1(min) to 5(max)] (1 degree x 1 degree).
DOI: 10.15485/1464217
title: CO2, Hydrographic, and Chemical Data Obtained During the R/V Thomas Washington Cruise TUNES-3 in the Equatorial Pacific Ocean (WOCE section P16C)

description: This data documentation discusses the procedures and methods used to obtain total carbon dioxide (TCO2), total alkalinity (TALK), hydrographic, and chemical data during the Research Vessel Thomas Washington Expedition TUNES-3 in the Equatorial Pacific Ocean (Section P16C). Conducted as a part of the World Ocean Circulation Experiment (WOCE), the cruise began in Papeete, Tahiti, on August 31, 1991, and finished in Honolulu, Hawaii, on October 1, 1991. WOCE Meridional Section P16C along 150 degrees W and between 18 degrees S and 19 degrees N was completed during the 31-day expedition. All 105 hydrographic and 8 large-volume stations were completed to the full water column depth. Station spacing was 30 nautical miles (nm), except between 3 degrees N and 3 degrees S where it was 10 nm. Twenty-five bio-optics stations were sampled for the Joint Global Ocean Flux Study, and at 21 stations carbon dioxide measurements were provided for the U.S. Department of Energy's CO2 program. Hydrographic and chemical measurements made along WOCE Section P16C included pressure, temperature, salinity, and oxygen measured by conductivity, temperature, and depth sensor; and bottle salinity, oxygen, phosphate, nitrate, nitrite, silicate, chlorofluorocarbon (CFC)-11, CFC-12, TCO2, and TALK. In addition, potential temperatures were calculated from the measured variables. The TCO2 concentration in 652 seawater samples was determined by semiautomated coulometry using an improved version of the instrument earlier described by Johnson et al., (1985, 1987). The precision of these measurements was estimated to be better than +/- 0.01%. The desired accuracy was better than +/- 4 micro-mol/kg. The TALK concentration in 539 seawater samples was determined by a potentiometric acid titration system that was designed and constructed at the Scripps Institution of Oceanography (SIO) by David Moss and Timothy Lueker (Guenther et al. 1994a).
DOI: 10.15485/1464236
title: The O2 Balance of the Atmosphere: A Tool for Studying the Fate of Fossil-Fuel CO2

description: Carbon dioxide is a radiatively active gas whose atmospheric concentration increase is likely to affect Earth's climate. CO2 is added to the atmosphere by biomass burning and the combustion of fossil fuels. Some added CO2 remains in the atmosphere. However, substantial amounts are taken up by the oceans and land biosphere, attenuating the atmospheric increase. Atmospheric O2 measurements provide one constraint for partitioning uptake rates between the ocean and the land biosphere. Here we review studies of atmospheric O2 concentration variations and discuss their implications for CO2 uptake by the ocean and the land biosphere.
DOI: 10.5439/1883168
title: EASTERN NORTH ATLANTIC (ENA) CONDENSATION PARTICLE COUNTER (CPC) with the AEROSOL MASK (ENA-AM) for the YEAR 2018

description: The Eastern North Atlantic (ENA) central facility is periodically affected by episodes of local aerosols. High-concentration aerosol events associated with potential local aerosol sources are sampled by the Concentration Particle Counter (CPC) and can be observed in the high-time-resolution data. In an effort to remove aerosol data that is not regionally representative from the CPC data, an aerosol mask (ENA-AM) has been previously developed and validated during the ACE-ENA campaing (Gallo et al., 2020). The ENA-AM is a standard deviation algorithm based on the statistically different behavior of adjacent data points used to determine periods when the measurements are impacted by local aerosols. This file contain one-minute time resolution submicron aerosol particle concentration datasets from the CPC for the year 2018, and the corresponding ENA-AM datasets to remove datapoints affected by local aerosol sources.
DOI: 10.18141/1883219
title: Dataset documenting reaction-induced changes to five fractured foamed wellbore cement cores during CO2 fluid flow

description: This dataset consists of reconstructed CT scans for four fractured foamed cement cores, generated in the lab using Portland Class H cement, and associated processed data. The cements were exposed to reactive brines, and CT scans were take at different time points through the experiment. The CT imaging allows for the tracking of dissolution-induced changes to fracture morphology, as well as alteration and dissolution in the cement matrix.
DOI: 10.57931/1884319
title: mosartwmpy sample input data; 1980 - 1985

description: Sample input data spanning the years 1980-1985 for running the mosartwmpy water routing and management model: https://github.com/IMMM-SFA/mosartwmpy More information is available in the README.
DOI: 10.5439/1886053
title: EASTERN NORTH ATLANTIC (ENA) CONDENSATION PARTICLE COUNTER (CPC) with the AEROSOL MASK (ENA-AM) for the YEAR 2016

description: The Eastern North Atlantic (ENA) central facility is periodically affected by episodes of local aerosols. High-concentration aerosol events associated with potential local aerosol sources are sampled by the concentration particle counter (CPC) and can be observed in the high-time-resolution data. In an effort to remove aerosol data that is not regionally representative from the CPC data, an aerosol mask (ENA-AM) has been previously developed and validated during the ACE-ENA campaign (Gallo et al. 2020). The ENA-AM is a standard deviation algorithm based on the statistically different behavior of adjacent data points used to determine periods when the measurements are impacted by local aerosols. This file contains one-minute-time-resolution submicron aerosol particle concentration data sets from the CPC for the year 2016, and the corresponding ENA-AM data sets to remove data points affected by local aerosol sources.
DOI: 10.6084/m9.figshare.21077128
title: Comparison of the seasonal and successional variation of endophytic and symbiotic nitrogen fixation along a primary successional chronosequence.xlsx

description: This is the data for the paper " <strong>Comparison of the seasonal and successional variation of endophytic and symbiotic nitrogen fixation along a primary successional chronosequence</strong>"
DOI: 10.6084/m9.figshare.21077128.v1
title: Comparison of the seasonal and successional variation of endophytic and symbiotic nitrogen fixation along a primary successional chronosequence.xlsx

description: This is the data for the paper " <strong>Comparison of the seasonal and successional variation of endophytic and symbiotic nitrogen fixation along a primary successional chronosequence</strong>"
DOI: 10.6084/m9.figshare.21077144.v1
title: Additional file 2 of EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets

description: Additional file 2. Additional descriptive statistics of simulation results.
DOI: 10.6084/m9.figshare.21077144
title: Additional file 2 of EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets

description: Additional file 2. Additional descriptive statistics of simulation results.
DOI: 10.6084/m9.figshare.21077173
title: Additional file 1 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 1: Table S1. Gene names/information about different genes screend.
DOI: 10.6084/m9.figshare.21077173.v1
title: Additional file 1 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 1: Table S1. Gene names/information about different genes screend.
DOI: 10.6084/m9.figshare.21077176
title: Additional file 2 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 2: Table S2. Differential genes GO functional enrichment analysis results.
DOI: 10.6084/m9.figshare.21077179
title: Additional file 3 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 3: Table S3. 38 differential genes related to fat metabolism.
DOI: 10.6084/m9.figshare.21077179.v1
title: Additional file 3 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 3: Table S3. 38 differential genes related to fat metabolism.
DOI: 10.6084/m9.figshare.21077182.v1
title: Additional file 4 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 4: Table S4. Details sheet for novel genes.
DOI: 10.6084/m9.figshare.21077182
title: Additional file 4 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 4: Table S4. Details sheet for novel genes.
DOI: 10.6084/m9.figshare.21077176.v1
title: Additional file 2 of Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys

description: Additional file 2: Table S2. Differential genes GO functional enrichment analysis results.
DOI: 10.6084/m9.figshare.21077194
title: Proteomic Analysis of IL-22 Treated Pancreatic Acinar Cell Injury

description: AR42J cells were stimulated by L-arginine to constructed an acinar cell injury model in vitro and the damaged cells were subsequently treated by IL-22. Differentially expressed proteins in the cells of the IL-22-treated group and arginine-induced group were detected by liquid chromatography-mass spectrometry.
DOI: 10.6084/m9.figshare.21077194.v1
title: Proteomic Analysis of IL-22 Treated Pancreatic Acinar Cell Injury

description: AR42J cells were stimulated by L-arginine to constructed an acinar cell injury model in vitro and the damaged cells were subsequently treated by IL-22. Differentially expressed proteins in the cells of the IL-22-treated group and arginine-induced group were detected by liquid chromatography-mass spectrometry.
DOI: 10.5519/qd.nk3aavof
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.nlx6qi11
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/btg1-rq62
title: EEG, ECG, EMG, Vigilance

description: Many neurophysiological measurements are affected by mental state tasks. The behavior of the human body's systems is frequently studied using biomedical instrumentation, which also helps to predict how the body will react physiologically to different types of cognitive demands. Electroencephalography (EEG) and electrocardiography (ECG), and electromyography (EMG) are used as markers of an emotional situation. The capability to process information is impacted by certain cerebral cortex stimulation conditions. Arousal, alertness, vigilance, and attentiveness are some words that have been used to describe these states. Vigilance defines as the state of staying careful watch for potential risks or dangers. Previous studies used only EEG signals or EEG and EMG or EEG and ECG for estimating the vigilance levels. However, the previous research shows a relation between the EEG frequency bands and central, partial, and occipital during vigilance. It indicates for HRV the connection between heart rate and frequency domain. EEG has a high temporal resolution; it offers helpful data to investigate mental state fluctuation. ECG records the electrical signal from the heart to examine various heart circumstances. EMG technique that is detecting the electrical impulses that produce by muscle. The EEG, ECG, and EMG of the five healthy college students were monitored while they relaxed session, completed the Psychomotor Vigilance Test session and meditation session. The goal of this study was to determine the accuracy of the feature estimation by using EEG, ECG, and EMG data to assess the level of vigilance. The results show a correlation between the ECG, EEG, and EMG under monitored settings is significant. The biosignals and biomarkers in vigilance concerns are heart rate (HR), very low frequency (VLF), low frequency (LF), theta wave, and root mean square (RMS). Those features could use as control treatment in many disorders related to vigilance. In addition, the meditation has a beneficial effect, and the employed protocol and features may be helpful for Mesial Temporal Lobe Epilepsy (mTLE).
DOI: 10.5519/qd.0u3h4lpi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/4187446
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.6640358
title: scvi Model & Data Zoo | Tabula Sapiens | Datasets

description: Tabula Sapiens Datasets
DOI: 10.6084/m9.figshare.21077200
title: Terrestrial Laser Scanning (TLS) data

description: There are 4 columns of data in the dataset, the first three columns represent XYZ coordinates, and the last column is the intensity information of the point cloud
DOI: 10.5281/zenodo.6513306
title: scvimadz | TS | Datasets

description: scvimadz | TS | Datasets
DOI: 10.5281/zenodo.6513237
title: scvimadz | TS | Datasets

description: scvimadz | TS | Datasets
DOI: 10.5281/zenodo.6513080
title: scvimadz | TS | Datasets

description: scvimadz | TS | Datasets
DOI: 10.5281/zenodo.6513041
title: scvimadz | TS | Datasets

description: scvimadz | TS | Datasets
DOI: 10.5281/zenodo.6371486
title: [FOR TESTING] scvimadz models

description: [FOR TESTING] scvimadz models
DOI: 10.5281/zenodo.6371009
title: [FOR TESTING] scvimadz models

description: N/A
DOI: 10.5281/zenodo.6370962
title: [FOR TESTING] scvimadz models

description: N/A
DOI: 10.5281/zenodo.6370922
title: [FOR TESTING] scvimadz models

description: N/A
DOI: 10.5281/zenodo.6371641
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6371639
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6371504
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6371002
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6370919
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6255134
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6255101
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6254979
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6254850
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6251794
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6251779
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.6251664
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.5805615
title: [FOR TESTING] scvimadz datasets

description: N/A
DOI: 10.5281/zenodo.5805554
title: [FOR TESTING] scvimadz models

description: N/A
DOI: 10.5066/p902i4wo
title: Whooping crane migration habitat selection disturbance data and maps

description: These data and maps were developed to support an effort to understand how whooping cranes (Grus americana) select stopover habitat in the presence of human infrastructure. Location and associated data came from whooping cranes from the Aransas-Wood Buffalo Population, 2010–2016. We marked a sample of 57 whooping cranes with leg-mounted transmitters that acquired locations via the global positioning system (GPS) network and transmitted those data through the Argos satellite system. Cranes were captured either at their natal areas in and adjacent to Wood Buffalo National Park in Canada or at their southern terminus along the Texas Gulf Coast, USA.
DOI: 10.5066/p98kqwdn
title: Southeast Florida and Florida Keys: Antibiotic Resistance in Association with Ocean Outfalls and the Antibiotic Treatment of Diseased Corals

description: The purpose of these datasets was to define which samples contained antibiotic resistance genes (screened antibiotic resistance gene targets) and the number of detectable targets per sample (sediment, coral mucus and water). These data were determined from samples collected in Southeast Florida and the Florida Keys, in support of the Southeast Florida Coral Reef Initiative.
DOI: 10.5066/p9czb0z7
title: Field measurements of rainfall and soil moisture data used to support understanding of infiltration and runoff following the 2007 Canyon Fire, Malibu, CA, USA

description: This data release includes information used to support interpretations of relations between precipitation and soil moisture for a U.S. Geological Survey post-fire monitoring array installed near Malibu, CA following the 2007 Canyon fire. The 3 datasets are: 1) a time series of precipitation from three tipping bucket rain gages in individual files (Schmidt_2020_CANVQRG1.csv, Schmidt_2020_CANVQRG2.csv, and Schmidt_2020_CANTPRG3.csv; where RG in file name is abbreviation for rain gage), 2) a time series of a total of 9 soil moisture probes distributed with three soil moisture probes installed at varying depths from 3 individual soil pits in 3 individual files grouped by pit (Schmidt_2020_CANVQSM1.csv, Schmidt_2020_CANVQSM2.csv, and Schmidt_2020_CANVQSM3.csv; where SM in file name is abbreviation for soil moisture), and 3) locational and temporal record information for the instruments including manufacturer and serial number as tabular data (Schmidt_2020_Canyon_Fire_Instrument_info.csv) and a shapefile including location information (Schmidt_2020_instruments.shp) as well as a 4 band raster geospatial data file (Schmidt_2020_CAN_RG_SM.png). The data was generally collected from December 1, 2007 to September 5, 2008. Tipping bucket rain gages recorded 0.2 mm per tip with either an irregular time stamp representing each successive tip (CANVQRG1 and CANTPRG3) or at a regular four-minute interval (CANVQRG2) with all null values, representing no measurable precipitation, removed for clarity. Time-progressive cumulative rainfall is reported. Rain gage "CANVQRG1" was located closest to soil moisture monitoring instruments ("CANVQSM1", "CANVQSM2", and "CANVQSM3"). Soil moisture probes recorded dimensionless volumetric water content in m^3/m^3 utilizing the dielectric constant of the media using capacitance or frequency domain technology. Probes were placed at three different depths in the soil: 5, 15 and 30 cm below the ground surface. Pit CANVQSM1 located closer to top of ridge, pit CANVQSM2 located mid-slope, and pit CANVQSM3 located downslope closer to the base of the hillslope. Soil moisture measurements were logged at regular time intervals, varying between two or six minutes, with recorded values reported as averages for that two- or six-minute interval. Column headers for soil moisture data denote unique instrument serial number and placement depth below ground surface in centimeters. Data pertaining to instrumental error was removed and entries left as null values. Negative reported values, outside of normal instrument recording range, during dry and likely hot conditions were left unmodified within data sets. All geographic coordinates reported as UTM NAD83 Zone 11N. All times are in Pacific Standard Time set to field laptop with migration forward one hour at 2 am on March 9, 2008.
DOI: 10.5066/p9h5k1mv
title: Histochemical study of nitrogen-transfer endosymbiosis

description: Plant roots have the best-understood mutualisms with microbes, but leaf and bract cell endosymbiosis have not been previously reported. Leaf and bract cells of more than 30 species in 18 families of seed plants were surveyed for the presence of intracellular bacteria and several experiments were designed to find and analyze nutrient exchanges between bacteria and plant cells. This dataset contains the results of 1) histochemical analyses to detect hormones, superoxide, and nitrogenous chemicals around bacteria within plant leaf and bract cells, 2) experiments to assess the differential absorption of isotopic nitrogen into plants, and 3) genetic analysis of bacteria isolated from plant material.