cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive133032.20230509.8
title: Deinococcus saudiensis Hussain et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133033.20230509.8
title: Acidobacterium ailaaui Myers and King 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133034.20230509.8
title: Deinococcus budaensis Makk et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133035.20230509.8
title: Candidatus Marispirochaeta associata Shivani et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133036.20230509.8
title: Azoarcus taiwanensis Lee et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133037.20230509.8
title: Pusillimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133038.20230509.8
title: Niabella sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133039.20230509.8
title: Sediminicola sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133040.20230509.8
title: Rhodovastum atsumiense Okamura et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133041.20230509.8
title: Solimonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133042.20230509.8
title: Mucilaginibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133043.20230509.8
title: Oceanisphaera sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133044.20230509.8
title: Thioclava sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133045.20230509.8
title: Sediminibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133046.20230509.8
title: Luteimonas padinae Verma et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133047.20230509.8
title: Halogeometricum sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133048.20230509.8
title: Salinibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133049.20230509.8
title: Methylopila turkensis Shmareva et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133050.20230509.8
title: Lysinibacillus endophyticus Yu et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133051.20230509.8
title: Desulfogranum aggregans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133052.20230509.8
title: Streptomyces zhihengii Huang et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133053.20230509.8
title: Acidicapsa ferrireducens Falagán et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133054.20230509.8
title: Acidicapsa acidiphila Falagán et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133055.20230509.8
title: Granulicella acidiphila Falagán et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133056.20230509.8
title: Georgenia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133057.20230509.8
title: Streptomyces capparidis Wang et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133058.20230509.8
title: Kocuria oceani Zhang et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133059.20230509.8
title: Bacillus maritimus Pal et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133060.20230509.8
title: Citrobacter europaeus Ribeiro et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133061.20230509.8
title: Halodesulfovibrio spirochaetisodalis Shivani et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133062.20230509.8
title: Allostreptomyces psammosilenae Huang et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133063.20230509.8
title: Rhodococcus sovatensis Táncsics et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133064.20230509.8
title: Micromonospora parathelypteridis Zhao et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133065.20230509.8
title: Arthrobacter ginkgonis Cheng et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133066.20230509.8
title: Salinivirga cyanobacteriivorans Ben Hania et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.24995801
title: Table_S6

description: The datasets targetable dbSNP variants with ChCas12b-D496A were presented as Supplementary Table_S6.
DOI: 10.15485/1870708
title: Dataset for 'Ombadi, M. & Varadharajan, C. (2022). Urbanization and aridity mediate distinct salinity response to floods in rivers and streams across the Contiguous United States, Water Research'

description: This package contains data sets and code used to obtain the results in Ombadi, M., & Varadharajan, C. (2022). Urbanization and aridity mediate distinct salinity response to floods in rivers and streams across the Contiguous United States. Water Research, 118664. The folder "data" contains 259 .csv files, each of which has daily time series of concurrent streamflow (Q) and specific conductance (SC) for each of the sites used in this study originally downloaded from the USGS National Water Information System (NWIS; USGS, 2016). The number of data points in each of the files is at least 3650 (i.e. 10 years of daily measurements). The folder "RF_single_data" contains 259 .csv files, each of which include data used to train and test the Random Forest models at individual sites for predicting SC during days of floods. The folder "RF_regional_data" contains 3 .csv files, each of which include scaled data compiled from all sites within each climate zone (arid, temperate and wet). "metadata.csv" contains the physical properties of the 259 catchments corresponding to the sites used in this study; this data was extracted from GAGES-II dataset (Falcone et al., 2010). "RF_implementation.ipynb" is a Jupyter notebook with the code needed to implement the analysis using Random Forest models either for individual sites or for the regional models (for each climate zone). The code utilizes the data in the two folders: "RF_single_data" and "RF_regional_data" and the metadata.csv file.
DOI: 10.15485/1910299
title: Biogeochemistry of Pond B (Savannah River Site, South Carolina, USA): Sediment Core, Total extraction data, Pond B Savannah River Site July 2019. Subsurface Biogeochemistry of Actinides SFA

description: Pond B at Savannah River Site (SRS, South Carolina) is a monomictic reservoir that received SRS R reactor cooling water from 1961–1964. Previous studies conducted between the 1980s–1990s on the water column and sediments of Pond B measured trace amounts of Pu (33 MBq 238Pu and 430 MBq 239,240Pu), 241Am, and 137Cs. Since then, the pond has been relatively isolated and the radionuclide concentrations have not been monitored over time. Herein, about 30 years after the last publication on Pond B, we are re-evaluating the geochemistry and radionuclide distribution within Pond B at four locations along a horizontal transect from the inlet to outlet.This study investigated the distribution of anthropogenic radionuclides Pu-239 and Cs-137 along with total organic carbon, iron, and trace element in contaminated sediments of Pond B at the Savannah River Site (SRS). Pond B received reactor cooling water from 1961 to 1964, and trace amounts of Pu-239 and Cs-137 during operations. Our study collected sediment cores to determine concentrations of Pu-239, Cs-137, and major and minor elements in solid phase, pore water and an electrochemical method was used on wet cores to determine dissolved elemental concentrations.
DOI: 10.6084/m9.figshare.23631543
title: Simulation of the Moving Boundary during Freezing of a Finite One-Dimensional Food Slab.

description: To calculate the moving boundary (MB) of a finite 1D moist food slab, which is cooled by convection at the exposed surface, a finite difference model was employed, invoking the Stefan condition. The primary objective of this project was to generate synthetic data comprising MB position-time pairs. The MB time profiles were generated using a nearly orthogonal array, which accounts for the effects of the Biot number, dimensionless cooling-medium temperature, dimensionless latent heat, and thermal conductivity parameter. The last two parameters play a crucial role in controlling the temperature dependence of the effective heat capacity and thermal conductivity of the food material. The generated data will be utilized to develop statistical models of the MB, effectively accounting for the influence of temperature-dependent thermal properties
DOI: 10.6084/m9.figshare.23631543.v1
title: Simulation of the Moving Boundary during Freezing of a Finite One-Dimensional Food Slab.

description: To calculate the moving boundary (MB) of a finite 1D moist food slab, which is cooled by convection at the exposed surface, a finite difference model was employed, invoking the Stefan condition. The primary objective of this project was to generate synthetic data comprising MB position-time pairs. The MB time profiles were generated using a nearly orthogonal array, which accounts for the effects of the Biot number, dimensionless cooling-medium temperature, dimensionless latent heat, and thermal conductivity parameter. The last two parameters play a crucial role in controlling the temperature dependence of the effective heat capacity and thermal conductivity of the food material. The generated data will be utilized to develop statistical models of the MB, effectively accounting for the influence of temperature-dependent thermal properties
DOI: 10.18170/dvn/tkiu2j
title: FY3E MEED

description: FY3E MEED data
DOI: 10.6084/m9.figshare.23916612.v1
title: <b>中的 Grin3a /AMPK 信号轴，改善患有 2 型糖尿病的肥胖大鼠的胰岛素敏感性 </b><b>hypothalamic arcuate nucleus</b>

description: RYGB reduced FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats while increased Grin3a expression and p-AMPK/AMPK ratio in ARC. Knockdown of Grin3a not only reversed the decreasing effects of RYGB on FBG, FSI, HOMA-IR and plasma TG levels in T2DM rats and but also reversed the up-regulation of RYGB on p-AMPK/AMPK ratio in ARC. Moreover, knocking down Grin3a could significantly increase the level of TG, promote the formation of lipid droplets and up-regulate the expressions of PPARγ, C/ebpα, FASN and FABP4 in differentiated 3T3-L1 cells.RYGB improves the insulin sensitivity, reduces the plasma TG level and lessens the fat accumulation in obese rats with T2DM by regulating the Grin3a /AMPK signal axis in hypothalamic ARC.
DOI: 10.5439/1994047
title: 30twrmr (c1)

description: 30twrmr
DOI: 10.5439/1994048
title: mmcrmode04v0061cloth (c1)

description: mmcrmode04v0061cloth
DOI: 10.5439/1994049
title: mmcrmode03v0081cloth (c1)

description: mmcrmode03v0081cloth
DOI: 10.5439/1994050
title: mmcrmode02v0061cloth (c1)

description: mmcrmode02v0061cloth
DOI: 10.5439/1994051
title: mmcrmode01v0091cloth (c1)

description: mmcrmode01v0091cloth
DOI: 10.5439/1994052
title: pws (a0)

description: The surface and tower meteorological instrumentation uses mainly conventional in situ sensors mounted on a tower to measure wind speed, wind direction, air temperature, dew point, and humidity. It also obtains barometric pressure, visibility, and precipitation data from sensors at or near the base of the tower. In addition, a chilled mirror hygrometer is used for comparison purposes.
DOI: 10.5439/1994053
title: org (a1)

description: The ORG measures rainfall by detecting the optical irregularities induced within the sample volume by precipitating particles falling through a beam of partially coherent infrared light. These irregularities are known as scintillation. By detecting the intensity of the scintillation, the actual rainfall rate can be measured. This particular rain gauge is an optical independent analog unit consisting of a frame that contains 1) the transmit head, 2) a receive head and electronics, and 3) a 15-meter-long power/signal cable. The transmit head contains an infrared-emitting diode and lens with heater. The other head contains a photodiode, lens and aperture, heater, electronics, and cable connectors. All wiring between the heads runs within the frame.
DOI: 10.5439/1994054
title: mettwr (a1)

description: The surface and tower meteorological instrumentation uses mainly conventional in situ sensors mounted on a tower to measure wind speed, wind direction, air temperature, dew point, and humidity. It also obtains barometric pressure, visibility, and precipitation data from sensors at or near the base of the tower. In addition, a chilled mirror hygrometer is used for comparison purposes.
DOI: 10.5439/1994055
title: nimfr (a1)

description: The normal incidence multifilter radiometer (NIMFR) is a ground-based instrument that provides a time series of the shortwave spectral direct normal irradiance. Additionally, a broadband silicon detector can crudely measure the direct normal broadband irradiance. These irradiance measurements can be used to infer clear-sky aerosol optical depth and columnar abundances of ozone and water vapor. The NIMFR is one of a class of instruments known as sun photometers.
DOI: 10.5439/1994056
title: nimfr (b1)

description: The normal incidence multifilter radiometer (NIMFR) is a ground-based instrument that provides a time series of the shortwave spectral direct normal irradiance. Additionally, a broadband silicon detector can crudely measure the direct normal broadband irradiance. These irradiance measurements can be used to infer clear-sky aerosol optical depth and columnar abundances of ozone and water vapor. The NIMFR is one of a class of instruments known as sun photometers.
DOI: 10.6084/m9.figshare.22494652
title: Delete

description: Natural infochemicals may largely affect the trophic transfer of microplastics (MPs) in ecosystems but such infochemical effect and mechanisms are poorly understood.
DOI: 10.6084/m9.figshare.22494652.v3
title: Delete

description: Natural infochemicals may largely affect the trophic transfer of microplastics (MPs) in ecosystems but such infochemical effect and mechanisms are poorly understood.
DOI: 10.6084/m9.figshare.22494652.v2
title: Natural infochemical DMSP stimulates the transfer of microplastics from freshwater zooplankton to fish: An olfactory trap

description: Natural infochemicals may largely affect the trophic transfer of microplastics (MPs) in ecosystems but such infochemical effect and mechanisms are poorly understood. Here, a daphnids-zebrafish freshwater microcosm was designed to elucidate whether and how an algae-derived infochemical, dimethylsulfoniopropionate (DMSP), affects the ingestion and transfer of MPs. Daphnids fast accumulated DMSP and MPs from water, DMSP in daphnids was mainly enriched from the DMSP in water but not from MPs. DMSP did not change the MP ingestion by daphnids. A low concentration of DMSP (&lt;5 nM) increased predation of daphnids by zebrafish, while a high concentration of DMSP (&gt;50 nM) did not increase predation rates. The MP predation by zebrafish in the 0.5 and 5 nM DMSP treatments were 2.06 and 1.69 times that of the control, respectively. This suggest the DMSP at environmentally relevant concentrations may promote the trophic transfer of MPs in freshwater ecosystem via olfactory traps.
DOI: 10.25584/1994205
title: HT Model Dataset

description: This website contains the dataset that was used for writing the manuscript "HT Model: Using the Molecular Transformer for predicting hydrotreating reactions" (PNNL-SA-186589) The dataset includes a collection of hydrotreating reactions compiled from 41 peer-reviewed literature sources. These sources contain experimental data related to hydrotreating reactions. These reactions involve the reaction of chemical compounds with hydrogen gas in the presence of a catalyst to remove heteroatoms or to convert specific functional groups. The dataset contains reactions both with and without reaction conditions. Reaction conditions refer to the specific parameters under which the reaction takes place, such as temperature and pressure. For each reaction, the dataset includes both SMILES and SELFIES representations. SMILES (Simplified Molecular Input Line Entry System) and SELFIES (SELF-referencIng Embedded Strings) are two popular notations used to represent chemical structures in a compact and standardized format. The dataset was created with the aim of training a predictive model, specifically using the Molecular Transformer architecture.
DOI: 10.4225/08/5a44f8f22e81e
title: WAMSI 2 KSN 2.2.1 Physical Oceanographic Dynamics

description: The physical oceanographic environment of the morphologically complex Kimberley coast is globally unique with deep and narrow inlets and extensive island archipelagos interacting with a macrotidal regime. This project investigated the processes controlling physical variability (e.g. circulation and temperature variability) within the Kimberley’s shallow water macrotidal reef environments, including transport and exchange rates between reef and coastal waters. An intensive field study are conducted at Tallon Island between 22nd March 2014 to 13 April 2014. A number of moorings were placed on the tidal reef flats. Consisting of Acoustic Doppler Velocimeters, temperature loggers and an Acoustic Wave and Current Meter (AWAC) An RTK bathymetry survey was also conducted over a number of days during the field program. A weather station was also deployed on a scaffold tower in the intertidal area. Weather station measured was used to measure wind speed, air temperature, solar radiation and barometric pressure. Data associated with this metadata record pertains to 4 Nortek Vectors deployed on the reef and a Weather station mounted on in the lagoon. Data associated with other components of the research is located
DOI: 10.6084/m9.figshare.23866962.v34
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5281/zenodo.8231893
title: Simulation of the Moving Boundary during Freezing of a One-Dimensional Food Slab

description: To calculate the moving boundary (MB) of a finite 1D moist food slab, which is cooled by convection at the exposed surface, a finite difference model was employed, invoking the Stefan condition. The primary objective of this project was to generate synthetic data comprising MB position-time pairs. The MB time profiles were generated using a nearly orthogonal array, which accounts for the effects of the Biot number, dimensionless cooling-medium temperature, dimensionless latent heat, and thermal conductivity parameter. The last two parameters play a crucial role in controlling the temperature dependence of the effective heat capacity and thermal conductivity of the food material. The generated data will be utilized to develop statistical models of the MB, effectively accounting for the influence of temperature-dependent thermal properties
description: The dataset comprises synthetic moving boundary position-time data pairs.