cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9gkqt13
title: Sea-level rise and high tide flooding inundation probability and depth statistics at San Juan National Historic Site, Puerto Rico

description: This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s San Juan National Historic Site. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National Oceanic and Atmospheric Administration (NOAA). We estimated the probability of an area being inundated under a given scenario using Monte Carlo simulations with 1,000 iterations. For an individual iteration, each pixel of the DEM was randomly propagated based on the lidar data uncertainty, while the sea-level rise and high tide flooding water level estimates were also propagated based on uncertainty in the sea-level rise estimate (Sweet and others, 2022) and tidal datum transformation, respectively. Moreover, the probability of a pixel being inundated was calculated by summing the binary simulation outputs and dividing by 1,000. Following, probability was binned into the following classes: 1) Unlikely, probability ≤0.33; 2) Likely as not, probability >0.33 and ≤0.66; and 3) Likely, probability >0.66. Finally, depth statistics were only recorded when depth was equal to or greater than 0. We calculated the median depth, 25th percentile, 75th percentile, and interquartile range using all the pixels that met this criterion. When utilizing the depth statistics, it is important to also consider the probability of this pixel being flooded. In other words, the depth layers may show some depth returns, but the pixel may have rarely been inundated for the 1,000 iterations.
DOI: 10.5281/zenodo.8165256
title: Supporting Data: Characterizing Sub-Glacial Hydrology Using Radar Simulations

description: Raw data from "A Simulation Approach to Characterizing Sub-Glacial Hydrology". 


THW2_UBH0c_X243a.M1D1 is the 1 dimensionally focused, high gain radargram from the IPR radar survey. 


Actual along-track IPR pick data for THW2_UBH0c_X243a are contained in file X243a_rad_data_foc.csv. Metadata are as follows:



	
pst: flight line name
	
long: observation longitude in decimal degrees (EPSG:4326)
	
lat: observation latitude in decimal degrees (EPSG:4326)
	
bed: bed pick elevation in [m]
	
year: timestamp year
	
day: timestamp day
	
t_ms: timestamp miliseconds
	
srf: surface pick elevation in [m]
	
echo: bed echo strength [dB]
	
thk: ice thickness [m]
	
Lice: estimated 2-way attenuation loss [dB]
	
R_bed: bed absolute reflectivity [dB]
	
L_unc: 2-way attenuation loss uncertainty [dB]



Simulated data: A folder for each simulation contains the files listed below.



	
Inputs:
	

		
[INPUT] Trajectory_MRS.mat: values for simulated aircraft trajectory, including total # of rangelines (TrackLengthTot), aircraft position at each rangeline in [m] (sc_position_x, sc_position_y, sc_position_z), and aircraft velocity in [m/s] (sc_vel_x, sc_vel_y, sc_vel_z)
		
bed.csv: lists all z-values in [m] for the bed surface
		
chan.csv: lists all z-values in [m] for the channel surface
		
params.txt: lists all pertinent parameters from the simulation
		
surf.csv: lists all z-values in [m] for the ice surface
		
xx.csv: lists all x-values in [m] for the ice surface
		
xx_b.csv: lists all x-values in [m] for the bed and channel surface
		
yy.csv: lists all y-values in [m] for the ice surface
		
yy_b.csv: lists all y-values in [m] for the bed and channel surface
	
	
	
Radargrams:
	

		
RgramFocPWR_RM3_hamm.mat: Focused radargram power [dB]
		
RgramRawPWR.mat: Raw radargram power [dB]
		
RgramRCPWR.mat: Range-compressed radargram power [dB]
DOI: 10.5281/zenodo.8165257
title: Supporting Data: A Simulation Approach to Characterizing Sub-Glacial Hydrology

description: Raw data from "A Simulation Approach to Characterizing Sub-Glacial Hydrology". Actual IPR data for THW2_UBH0c_X243a are contained in file X243a_rad_data_foc.csv. Metadata are as follows: pst: flight line name<br> long: observation longitude in decimal degrees (EPSG:4326)<br> lat: observation latitude in decimal degrees (EPSG:4326)<br> bed: bed pick elevation in [m]<br> year: timestamp year<br> day: timestamp day<br> t_ms: timestamp miliseconds<br> srf: surface pick elevation in [m]<br> echo: bed echo strength [dB]<br> thk: ice thickness [m]<br> Lice: estimated 2-way attenuation loss [dB]<br> R_bed: bed absolute reflectivity [dB]<br> L_unc: 2-way attenuation loss uncertainty [dB] Simulated data: A folder for each simulation contains the files listed below. Inputs:<br> [INPUT] Trajectory_MRS.mat: values for simulated aircraft trajectory, including total # of rangelines (TrackLengthTot), aircraft position at each rangeline in [m] (sc_position_x, sc_position_y, sc_position_z), and aircraft velocity in [m/s] (sc_vel_x, sc_vel_y, sc_vel_z)<br> bed.csv: lists all z-values in [m] for the bed surface<br> chan.csv: lists all z-values in [m] for the channel surface<br> params.txt: lists all pertinent parameters from the simulation<br> surf.csv: lists all z-values in [m] for the ice surface<br> xx.csv: lists all x-values in [m] for the ice surface<br> xx_b.csv: lists all x-values in [m] for the bed and channel surface<br> yy.csv: lists all y-values in [m] for the ice surface<br> yy_b.csv: lists all y-values in [m] for the bed and channel surface Radargrams:<br> RgramFocPWR_RM3_hamm.mat: Focused radargram power [dB]<br> RgramRawPWR.mat: Raw radargram power [dB]<br> RgramRCPWR.mat: Range-compressed radargram power [dB]<br>
DOI: 10.5281/zenodo.8165343
title: Supporting Data: Characterizing Sub-Glacial Hydrology Using Radar Simulations

description: Raw data from "A Simulation Approach to Characterizing Sub-Glacial Hydrology". 


THW2_UBH0c_X243a.M1D1 is the 1 dimensionally focused, high gain radargram from the IPR radar survey. 


Actual along-track IPR pick data for THW2_UBH0c_X243a are contained in file X243a_rad_data_foc.csv. Metadata are as follows:



	
pst: flight line name
	
long: observation longitude in decimal degrees (EPSG:4326)
	
lat: observation latitude in decimal degrees (EPSG:4326)
	
bed: bed pick elevation in [m]
	
year: timestamp year
	
day: timestamp day
	
t_ms: timestamp miliseconds
	
srf: surface pick elevation in [m]
	
echo: bed echo strength [dB]
	
thk: ice thickness [m]
	
Lice: estimated 2-way attenuation loss [dB]
	
R_bed: bed absolute reflectivity [dB]
	
L_unc: 2-way attenuation loss uncertainty [dB]



Simulated data: A folder for each simulation contains the files listed below.



	
Inputs:
	

		
[INPUT] Trajectory_MRS.mat: values for simulated aircraft trajectory, including total # of rangelines (TrackLengthTot), aircraft position at each rangeline in [m] (sc_position_x, sc_position_y, sc_position_z), and aircraft velocity in [m/s] (sc_vel_x, sc_vel_y, sc_vel_z)
		
bed.csv: lists all z-values in [m] for the bed surface
		
chan.csv: lists all z-values in [m] for the channel surface
		
params.txt: lists all pertinent parameters from the simulation
		
surf.csv: lists all z-values in [m] for the ice surface
		
xx.csv: lists all x-values in [m] for the ice surface
		
xx_b.csv: lists all x-values in [m] for the bed and channel surface
		
yy.csv: lists all y-values in [m] for the ice surface
		
yy_b.csv: lists all y-values in [m] for the bed and channel surface
	
	
	
Radargrams:
	

		
RgramFocPWR_RM3_hamm.mat: Focused radargram power [dB]
		
RgramRawPWR.mat: Raw radargram power [dB]
		
RgramRCPWR.mat: Range-compressed radargram power [dB]
DOI: 10.6084/m9.figshare.24910611
title: Evaluation of lettuce cultivation in an aquaponic system, with and without bioflocs, compared to a hydroponic system, in a greenhouse in southern Brazil

description: AbstractA recirculation system was set up to evaluate lettuce production (floating) in aquaponics (Aqua) and aquaponics with bioflocs (AquaFloc) in comparison to hydroponics (Hydro), in triplicate, for 45 days. Juvenile tambacu into the aquaponics tanks were fed with a commercial feed. Water quality was monitored and vegetable growth was evaluated. Head diameter, height, fresh matter, dry matter, number of leaves, and chlorophyll a+b concentration were higher (P&lt;0.05) in “Hydro” than “AquaFloc”, even when the “AquaFloc” reached 60 days. The “AquaFloc” system presented 62% of fish survival, but presented lower (P&lt;0.05) concentrations of ammonia and nitrite compared to “Hydro” and absence of nitrate. Electrical conductivity and concentration of total solids dissolved in water were lower (P&lt;0.05) in “AquaFloc” than in “Hydro”, while pH was higher (P&lt;0.05) in “AquaFloc” in comparison with “Hydro”, resulting in less availability of nutrients for plant growth. The “Aqua” system did not show lettuce growth and presented a complete fish mortality. The fish-vegetable ratio used did not meet the nutritional demand of the lettuces. New studies must be carried out with an appropriate fish-vegetable ratio that can provide sufficient nutrients to plants in aquaponics, with control of the system's pH.
DOI: 10.6084/m9.figshare.24910611.v1
title: Evaluation of lettuce cultivation in an aquaponic system, with and without bioflocs, compared to a hydroponic system, in a greenhouse in southern Brazil

description: AbstractA recirculation system was set up to evaluate lettuce production (floating) in aquaponics (Aqua) and aquaponics with bioflocs (AquaFloc) in comparison to hydroponics (Hydro), in triplicate, for 45 days. Juvenile tambacu into the aquaponics tanks were fed with a commercial feed. Water quality was monitored and vegetable growth was evaluated. Head diameter, height, fresh matter, dry matter, number of leaves, and chlorophyll a+b concentration were higher (P&lt;0.05) in “Hydro” than “AquaFloc”, even when the “AquaFloc” reached 60 days. The “AquaFloc” system presented 62% of fish survival, but presented lower (P&lt;0.05) concentrations of ammonia and nitrite compared to “Hydro” and absence of nitrate. Electrical conductivity and concentration of total solids dissolved in water were lower (P&lt;0.05) in “AquaFloc” than in “Hydro”, while pH was higher (P&lt;0.05) in “AquaFloc” in comparison with “Hydro”, resulting in less availability of nutrients for plant growth. The “Aqua” system did not show lettuce growth and presented a complete fish mortality. The fish-vegetable ratio used did not meet the nutritional demand of the lettuces. New studies must be carried out with an appropriate fish-vegetable ratio that can provide sufficient nutrients to plants in aquaponics, with control of the system's pH.
DOI: 10.6084/m9.figshare.24949488
title: Wallace_et_al_2024a_Fig.2

description: These files contain R-code and data used to make Figure 2 (a-b) in Wallace et al. 2024a. This plots the recovery of family and realm level taxonomy generated by Phage Taxonomy Tool (PTT; https://github.com/AnantharamanLab/Kieft_and_Zhou_et_al._2020). The ‘<i>PTT_virus_taxonomy.tsv’</i> reference data sheet in this program was edited to reflect updated ICTV classifications (Turner et al., 2023).
DOI: 10.6084/m9.figshare.24949488.v1
title: Wallace_et_al_2024a_Fig.2

description: These files contain R-code and data used to make Figure 2 (a-b) in Wallace et al. 2024a. This plots the recovery of family and realm level taxonomy generated by Phage Taxonomy Tool (PTT; https://github.com/AnantharamanLab/Kieft_and_Zhou_et_al._2020). The ‘<i>PTT_virus_taxonomy.tsv’</i> reference data sheet in this program was edited to reflect updated ICTV classifications (Turner et al., 2023).
DOI: 10.6084/m9.figshare.24949488.v2
title: Wallace_et_al_2024a_Fig.2

description: These files contain R-code and data used to make Figure 2 (a-b) in Wallace et al. 2024a. This plots the recovery of family and realm level taxonomy generated by Phage Taxonomy Tool (PTT; https://github.com/AnantharamanLab/Kieft_and_Zhou_et_al._2020). The ‘<i>PTT_virus_taxonomy.tsv’</i> reference data sheet in this program was edited to reflect updated ICTV classifications (Turner et al., 2023).
DOI: 10.5281/zenodo.10456931
title: Table of sgRNAs targeting Macaca mulatta (rhesus macaque) coding genes

description: sgRNAs were designed using the Merry Crispr algorithm described at:  https://github.com/milescsmith/merrycrispr

When possible, the goal was to design 6 sgRNAs for each of the 21,574 Macaca mulatta protein coding genes.

The table includes a total of 81,675 total sgRNAs, giving an average of 3.8 sgRNAs per gene.

The column labled "score" is the on-target score, with 1 being a perfect sequence match; with less than 1 allowing for mismatches. The off-target score is the inverse where a value of 1 is predicted to have no off-target editing.
DOI: 10.5281/zenodo.10456932
title: Table of sgRNAs targeting Macaca mulatta (rhesus macaque) coding genes

description: sgRNAs were designed using the Merry Crispr algorithm described at:  https://github.com/milescsmith/merrycrispr

When possible, the goal was to design 6 sgRNAs for each of the 21,574 Macaca mulatta protein coding genes.

The table includes a total of 81,675 total sgRNAs, giving an average of 3.8 sgRNAs per gene.

The column labled "score" is the on-target score, with 1 being a perfect sequence match; with less than 1 allowing for mismatches. The off-target score is the inverse where a value of 1 is predicted to have no off-target editing.
DOI: 10.6084/m9.figshare.24952130
title: Analysis of MHD tangent hyperbolic hybrid nanofluid flow with different base fluids over a porous stretched sheet

description: This study investigates the flow of a two-dimensional magnetohydrodynamic(MHD) tangential hyperbolic hybrid nano fluid flow towards a porous stretched sheet with an inclined magnetic field under velocity and thermal slip conditions. Two distinct base fluids, (i) water and (ii) a mixture of 50% ethylene glycol(EG or (CH2OH)2) and 50% water are employed as base liquids with Copper(Cu) and aluminium oxide(Al2O3) nanoparticles, to generate two different hybrid nanofluids as Cu−Al2O3/H2O and Cu−Al2O3/EG+H2O. Scaling group transformations with a homotopy algorithm is used to study the effects of distinct physical parameters like the Weissenberg number, an inclined magnetic field, thermal radiation, velocity, and thermal slip conditions with a heat generation/absorption parameter and a permeable parameter on the velocity and temperature distributions. The outcomes of Cu−Al2O3/H2O hybrid nano fluid are compared with Cu−Al2O3/EG+H2O hybrid nano fluid in significant critical physical circumstances using graphs and tables. It is observed that the parameters We and Ha, θM, and <i>λ</i> increase the fluid temperature and decelerate the motion of fluid. The obtained results are validated by comparing them with the existing literature and found that the present results are consistent with the given data. Additionally, it is also noticed that the Cu−Al2O3/EG+H2O hybrid nanofluid has a higher heat transmission rate as compared to Cu−Al2O3/H2O hybrid nanofluid. Finally, the impact of nano particle volume fractions of copper and aluminium oxide on the velocity and temperature profiles is discussed to study their efficiency.
DOI: 10.6084/m9.figshare.24952130.v1
title: Analysis of MHD tangent hyperbolic hybrid nanofluid flow with different base fluids over a porous stretched sheet

description: This study investigates the flow of a two-dimensional magnetohydrodynamic(MHD) tangential hyperbolic hybrid nano fluid flow towards a porous stretched sheet with an inclined magnetic field under velocity and thermal slip conditions. Two distinct base fluids, (i) water and (ii) a mixture of 50% ethylene glycol(EG or (CH2OH)2) and 50% water are employed as base liquids with Copper(Cu) and aluminium oxide(Al2O3) nanoparticles, to generate two different hybrid nanofluids as Cu−Al2O3/H2O and Cu−Al2O3/EG+H2O. Scaling group transformations with a homotopy algorithm is used to study the effects of distinct physical parameters like the Weissenberg number, an inclined magnetic field, thermal radiation, velocity, and thermal slip conditions with a heat generation/absorption parameter and a permeable parameter on the velocity and temperature distributions. The outcomes of Cu−Al2O3/H2O hybrid nano fluid are compared with Cu−Al2O3/EG+H2O hybrid nano fluid in significant critical physical circumstances using graphs and tables. It is observed that the parameters We and Ha, θM, and <i>λ</i> increase the fluid temperature and decelerate the motion of fluid. The obtained results are validated by comparing them with the existing literature and found that the present results are consistent with the given data. Additionally, it is also noticed that the Cu−Al2O3/EG+H2O hybrid nanofluid has a higher heat transmission rate as compared to Cu−Al2O3/H2O hybrid nanofluid. Finally, the impact of nano particle volume fractions of copper and aluminium oxide on the velocity and temperature profiles is discussed to study their efficiency.
DOI: 10.5517/ccdc.csd.cc2gxxs3
title: CCDC 2291916: Experimental Crystal Structure Determination

description: Related Article: Kai-Kai Wang, Jun-Wei Ye, Jun Jia, Ya-Fei Li, Wei-Wei Yao, Lan-Xin Li, Su-Miao Zhao, Yan Xu, Rongxiang Chen|2024|Tetrahedron|150|133772|doi:10.1016/j.tet.2023.133772
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: 10.5517/ccdc.csd.cc2gy1l2
title: CCDC 2292034: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1m3
title: CCDC 2292035: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1n4
title: CCDC 2292036: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1p5
title: CCDC 2292037: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1q6
title: CCDC 2292038: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1r7
title: CCDC 2292039: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1s8
title: CCDC 2292040: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2gy1t9
title: CCDC 2292041: Experimental Crystal Structure Determination

description: Related Article: Fangfang Duan, Xiaogang Peng, Lin Liu, Xianggao Meng, An Jin, Hanli Ruan|2024|Phytochemistry|218|113939|doi:10.1016/j.phytochem.2023.113939
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: 10.5517/ccdc.csd.cc2h2bhf
title: CCDC 2296154: Experimental Crystal Structure Determination

description: Related Article: Mira Diekmann, Marc Schmidtmann, Rüdiger Beckhaus|2023|CSD Communication|||
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.