cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8192928
title: lepetodrilus_tevnianus_decontaminated_gx.fasta.gz

description: .
DOI: 10.7284/153979
title: Speedlog data collected during research cruise EN690 using a Furuno DS-50 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/zn6mjbd8cj.1
title:  Survey data on energy-saving policies, energy price, crisis and household energy-saving behavior

description: In the context of crises and the increasingly complex global warming phenomenon, this study gathers survey data to assess the impact of energy-saving policies and energy prices on the energy-saving behavior of households.
Value of the data
1. The data will provide information about the role of energy-saving policies in relation to energy consumption issues in households. 
2. The data will provide information about the role of energy prices concerning energy consumption issues in households. 
3. The data will provide information about the role of crises concerning energy consumption issues in households. 
4. The data will assist researchers in studying the impact of energy-saving policies, energy prices, and crises on energy-saving behavior. 
5. The data will help the government formulate energy-saving policies and pricing strategies to promote energy-saving behavior in the context of crises.
DOI: 10.7284/153983
title: Timeserver data collected during research cruise EN690 using a Spectracom SecureSync instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.8192927
title: lepetodrilus_tevnianus_decontaminated_gx.fasta.gz

description: .
DOI: 10.7284/153977
title: TSG (Thermosalinograph) data collected during research cruise EN690 using a SeaBird SBE-45 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/5ncnnzshfw.1
title: Analysis code for assessing the relationship between gun ownership and fear of mass shootings

description: Rationale: Gun sales spike after mass shooting incidents. As firearm presence is associated with numerous health and safety risks, it is imperative to understand what catalyzes gun ownership. Despite evidence that Americans’ fear of mass shootings is increasing at a pace that exceeds their likelihood of victimization, the relationship between fear of mass shootings and gun ownership has received minimal attention.
Objective: The current study examines group differences in fear of mass shootings and openness to gun ownership. Specifically, it is hypothesized that (1) fear of mass shootings will increase openness to future firearm ownership among non-owners, (2) gun-owners will be more afraid of mass shootings than non-owners, and (3) protective owners will be more afraid than non-protective owners.
Methods: This paper uses Wave 26 of Pew Research Center’s nationally representative American Trends Panel (n=1,968). 
Results: Binary logistic regression analyses indicate that among non-gun-owners, fear of mass shootings decreases openness to ownership. Ordinal logistic regression analyses indicate that while fear of mass shootings does not differ between gun-owners and non-owners, protective gun-owners are more afraid than non-protective owners. 
Conclusions: Combined with prior research, these findings suggest that protective gun-owners, non-protective gun-owners, and non-owners have distinct views of the relationship between guns and mass shootings and are motivated to acquire firearms by different processes. Additional longitudinal work is needed to confirm these findings and clarify the role of causal attributions.
DOI: 10.7284/153981
title: TSG (Thermosalinograph) data collected during research cruise EN690 using a SeaBird SBE-21 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21227/trc8-8f10
title: Recursive Algorithm FIR Filter Quantization and Low-Cost Structure Optimization Design Based on MATLAB and Simulink

description:   Abstract—In the field of digital filters, finite impulse response (FIR) filters are favored for their stable structure and linear phase characteristics. However, since conventional direct-type filters are slow in operation and have a high demand for hardware resources, many researchers have explored the use of recursion to reduce the use of adders in circuits to reduce the hardware cost of digital filters. Among them, the RAG-N algorithm and the BHM algorithm are some of the better-known algorithms in this field. This study focuses on the quantization performance of finite impulse response filter coefficients and coefficient optimization via recursive algorithms. We have designed and demonstrated the structure of a finite impulse response filter optimized using the recursive algorithm after 8-bit, 10-bit, and 12-bit quantization, and built the corresponding simulation models using Simulink. Our results show that while heuristic optimization algorithms such as RAG-N and BHM can significantly reduce the use of hardware resources, the computation time of these algorithms may increase as the number of quantization bits increases and may have an impact on the circuit design due to the increase in logic depth and the increase in path delay. Therefore, future research needs to pay further attention to these issues to improve the performance and efficiency of FIR filters.
DOI: 10.7284/153985
title: Winch data collected during research cruise EN690 using a PHE Endeavor instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/114498
title: Singlebeam Echosounder data collected during research cruise HLY0203 using a Knudsen 320B/R instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/106717
title: Singlebeam Echosounder data collected during research cruise HLY0204 using a Knudsen 320B/R instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/114499
title: Singlebeam Echosounder data collected during research cruise HLY0402 using a Knudsen 320B/R instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/h583fj6gkv.1
title: Diverse farming systems and their impact on macro and microelement content of vegetables & crops.

description: Agriculture plays a vital role in the economy of any country. In this data agriculture activities  are described in term of nutritional value of crops and vegetables in North India, Haryana. Crops and vegetables according to the climate of Haryana were shown in a field from 2019 to 2021 according to sowing season of each Rabi and Kharif crops. There were six seasons in three years. Four plots of 8.0 m × 8.0 m each of organic as well as conventional were used for sowing. Crops were chosen on the basis of their suitability to the climate of north India. Rabi crops included peas (Pisum sativum), berseem (Trifolium alexandrinum), mustard (Brassica nigra), onion (Allium cepa), fenugreek (Trigonella foenum graecum) and potatoes (Solanum tuberosum). Kharif season included millet (Pennisetum glaucum), sesame (Sesamum indicum) and sorghum (Sorghum bicolor). From each season, crops were harvested and subsequently, their macro and micronutrient analysis were carried out. The comparison of macro elements such as K, P, Na, Ca, S and Mg and microelements Mn, Fe, Cu, Al, Zn and B in organic vs. conventional farming at the end of each  season each year was done. Samples were prepared with the help of wet digestion method and then analysed by element analyzer and ICP-OES (Inductive coupled plasma optical emission spectrophotometer).Descriptive statistics were performed using Graph Pad Prism software at a significance level of ≤ 0.05. Figures were plotted with Microsoft Excel. Data shows that  mean of macroelements like potassium(3533 mg/kg), phosphorus( 282 mg/kg), magnesium(176 mg/kg) ,sodium( 282 mg/kg),sulphur( 390 mg/kg) and calcium(188 mg/kg)  was found more in each mineral  in case of organic farming as compared to conventional farming that are K(3317 mg/kg),P(240mg/kg),Mg(143 mg/kg), Na( 237 mg/kg), S ( 273 mg/kg) and Ca(  153 mg/kg).All data were calculated in term of mean, standard deviation and minimum and maximum value of minerals present in the crops and vegetables. Also, microelements mean in organic farming was found to be more Mn(2.12 mg/kg ),Cu( 0.670 mg/kg), Fe(4.16 mg/kg ), Al( 1.65 mg.kg),Zn(2.13 mg/kg) and B(1.65 mg/kg) as compared to conventional farming that contain Mn (0.787 mg/kg),Cu (0.393 mg/kg), Fe (2.48 mg/kg), Al (0.933 mg/kg), Zn (1.57 mg/kg) and B(0.593 mg/kg).So different macroelements and microelements can be analysed in organic as well as conventional farming to show that organic farming with the help of organic fertilizers like vermicompost and seaweed is  an effective method of agriculture with low input. In conventional farming lot of chemical fertilizers like urea,diammonium phosphate (DAP) has been used from so many decades due to which health of soil and nutritional value of crops and vegetables are deteriorating at a high level. So organic farming can be a best alternative with cheap and cost effective inputs, fertile soil and a nutritious food as compared to conventional one.
DOI: 10.21227/4yn3-np88
title: Recursive Algorithm FIR Filter Quantization and Low-Cost Structure Optimization Design Based on MATLAB and Simulink

description:   Abstract—In the field of digital filters, finite impulse response (FIR) filters are favored for their stable structure and linear phase characteristics. However, since conventional direct-type filters are slow in operation and have a high demand for hardware resources, many researchers have explored the use of recursion to reduce the use of adders in circuits to reduce the hardware cost of digital filters. Among them, the RAG-N algorithm and the BHM algorithm are some of the better-known algorithms in this field. This study focuses on the quantization performance of finite impulse response filter coefficients and coefficient optimization via recursive algorithms. We have designed and demonstrated the structure of a finite impulse response filter optimized using the recursive algorithm after 8-bit, 10-bit, and 12-bit quantization, and built the corresponding simulation models using Simulink. Our results show that while heuristic optimization algorithms such as RAG-N and BHM can significantly reduce the use of hardware resources, the computation time of these algorithms may increase as the number of quantization bits increases and may have an impact on the circuit design due to the increase in logic depth and the increase in path delay. Therefore, future research needs to pay further attention to these issues to improve the performance and efficiency of FIR filters.
DOI: 10.17632/tpcwfk3tf3.1
title: Supplemental Table 1. Kaplan-Meier analyses to estimate median time to toxicity by lactate dehydrogenase levels and stage at diagnosis.

description: Supplemental data table for publication titled "Association between baseline lactate dehydrogenase and immune-related adverse events among patients with melanoma varies by tumor stage at immune checkpoint inhibitor initiation". The table illustrates the time to any organ system toxicity development by level of lactate dehydrogenase (elevated levels defined as 210 U/L by institutional standards), stratified by stage of melanoma tumor at time of immune checkpoint inhibitor therapy initiation.
DOI: 10.7284/154056
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise HLY2201 using a Hawaii UHDAS instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21227/t40y-gh40
title: Recursive Algorithm FIR Filter Quantization and Low-Cost Structure Optimization Design Based on MATLAB and Simulink

description:   Abstract—In the field of digital filters, finite impulse response (FIR) filters are favored for their stable structure and linear phase characteristics. However, since conventional direct-type filters are slow in operation and have a high demand for hardware resources, many researchers have explored the use of recursion to reduce the use of adders in circuits to reduce the hardware cost of digital filters. Among them, the RAG-N algorithm and the BHM algorithm are some of the better-known algorithms in this field. This study focuses on the quantization performance of finite impulse response filter coefficients and coefficient optimization via recursive algorithms. We have designed and demonstrated the structure of a finite impulse response filter optimized using the recursive algorithm after 8-bit, 10-bit, and 12-bit quantization, and built the corresponding simulation models using Simulink. Our results show that while heuristic optimization algorithms such as RAG-N and BHM can significantly reduce the use of hardware resources, the computation time of these algorithms may increase as the number of quantization bits increases and may have an impact on the circuit design due to the increase in logic depth and the increase in path delay. Therefore, future research needs to pay further attention to these issues to improve the performance and efficiency of FIR filters.
DOI: 10.21227/tq85-b346
title: Recursive Algorithm FIR Filter Quantization and Low-Cost Structure Optimization Design Based on MATLAB and Simulink

description:   Abstract—In the field of digital filters, finite impulse response (FIR) filters are favored for their stable structure and linear phase characteristics. However, since conventional direct-type filters are slow in operation and have a high demand for hardware resources, many researchers have explored the use of recursion to reduce the use of adders in circuits to reduce the hardware cost of digital filters. Among them, the RAG-N algorithm and the BHM algorithm are some of the better-known algorithms in this field. This study focuses on the quantization performance of finite impulse response filter coefficients and coefficient optimization via recursive algorithms. We have designed and demonstrated the structure of a finite impulse response filter optimized using the recursive algorithm after 8-bit, 10-bit, and 12-bit quantization, and built the corresponding simulation models using Simulink. Our results show that while heuristic optimization algorithms such as RAG-N and BHM can significantly reduce the use of hardware resources, the computation time of these algorithms may increase as the number of quantization bits increases and may have an impact on the circuit design due to the increase in logic depth and the increase in path delay. Therefore, future research needs to pay further attention to these issues to improve the performance and efficiency of FIR filters.
DOI: 10.7284/154081
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise HLY2201 using a SeaBird SBE-911+ instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154052
title: Expendable Probe data collected during research cruise HLY2201 using a Sippican MK21 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21227/mw29-8p52
title: Recursive Algorithm FIR Filter Quantization and Low-Cost Structure Optimization Design Based on MATLAB and Simulink

description:   Abstract—In the field of digital filters, finite impulse response (FIR) filters are favored for their stable structure and linear phase characteristics. However, since conventional direct-type filters are slow in operation and have a high demand for hardware resources, many researchers have explored the use of recursion to reduce the use of adders in circuits to reduce the hardware cost of digital filters. Among them, the RAG-N algorithm and the BHM algorithm are some of the better-known algorithms in this field. This study focuses on the quantization performance of finite impulse response filter coefficients and coefficient optimization via recursive algorithms. We have designed and demonstrated the structure of a finite impulse response filter optimized using the recursive algorithm after 8-bit, 10-bit, and 12-bit quantization, and built the corresponding simulation models using Simulink. Our results show that while heuristic optimization algorithms such as RAG-N and BHM can significantly reduce the use of hardware resources, the computation time of these algorithms may increase as the number of quantization bits increases and may have an impact on the circuit design due to the increase in logic depth and the increase in path delay. Therefore, future research needs to pay further attention to these issues to improve the performance and efficiency of FIR filters.
DOI: 10.7284/154078
title: GNSS (Global Navigation Satellite System) data collected during research cruise HLY2201 using a Trimble ABX-Two instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154079
title: GNSS (Global Navigation Satellite System) data collected during research cruise HLY2201 using a Trimble ABX-Two instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154073
title: Gravimeter data collected during research cruise HLY2201 using a Bell BGM-3 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154051
title: Gyrocompass data collected during research cruise HLY2201 using a Sperry MK-27F instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154053
title: INS (Inertial Navigation System) data collected during research cruise HLY2201 using a Sperry MK-39 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154071
title: INS (Inertial Navigation System) data collected during research cruise HLY2201 using a Applanix POS/MV-320 V5 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154072
title: INS (Inertial Navigation System) data collected during research cruise HLY2201 using a Kongsberg Seapath 330+ instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154082
title: Meteorological Station data collected during research cruise HLY2201 using a SIO MET-System instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/f52cpwsz5w.1
title: A multilocus DNA mini-barcode assay to identify twenty vertebrate wildlife species from insufficient nuclear DNA and mixtures

description: Sequences of of twenty vertebrate wildlife species, six domestic animals, and fifteen case samples
DOI: 10.7284/154083
title: Multibeam Echosounder data collected during research cruise HLY2201 using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154084
title: Multibeam Echosounder data collected during research cruise HLY2201 using a Kongsberg EM122 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/vkgw9r37hy.1
title: Data for Assembly Sequence planning

description: Research on Dynamic Decision-Making for Product Assembly Sequence based on Connector-Linked Model and Deep Reinforcement Learning
DOI: 10.7284/154074
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise HLY2201 using a LDEO pCO2 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154055
title: Singlebeam Echosounder data collected during research cruise HLY2201 using a Knudsen 3260 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154054
title: Speedlog data collected during research cruise HLY2201 using a Sperry SRD-500 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154075
title: Winch data collected during research cruise HLY2201 using a InterOcean 10628 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/154076
title: Winch data collected during research cruise HLY2201 using a InterOcean 10628 instrument system onboard the platform USCGC Healy

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/vnsb4jgjgm.1
title: Data for: Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

description: Matlab Function created by Dr. Gabriele Fiorentino, March 2021. The code allows to generate N non-stationary stochastic ground motions based on few input parameters: Magnitude, Distance, Vs30 and Style-of-Faulting. The methodology is described in the cited reference. Reference: Sabetta F, Pugliese A., Fiorentino G., Lanzano G., Luzi L. (2021) Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes. Bulletin of Earthquake Engineering.
DOI: 10.17632/vnsb4jgjgm.2
title: Data for: Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

description: Matlab Function created by Dr. Gabriele Fiorentino. 
Version 1: March 2021. 
Version 2: January 2022.

The code allows to generate N non-stationary stochastic ground motions based on few input parameters: Magnitude, Distance, Vs30 and Style-of-Faulting.  The methodology is described in the cited reference.

Reference:

Sabetta F, Pugliese A., Fiorentino G., Lanzano G., Luzi L. (2021) 
Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes.
Bulletin of Earthquake Engineering.
DOI: 10.17632/vnsb4jgjgm.3
title: Data for: Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

description: Matlab Function created by Dr. Gabriele Fiorentino. 
Version 1: March 2021. 
Version 2: January 2022.

The code allows to generate N non-stationary stochastic ground motions based on few input parameters: Magnitude, Distance, Vs30 and Style-of-Faulting.  The methodology is described in the cited reference.

Reference:

Sabetta F, Pugliese A., Fiorentino G., Lanzano G., Luzi L. (2021) 
Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes.
Bulletin of Earthquake Engineering.
DOI: 10.17632/vnsb4jgjgm.4
title: Data for: Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

description: The code allows to generate N non-stationary stochastic ground motions based on few input parameters: Magnitude, Distance, Vs30 and Style-of-Faulting.  The methodology is described in the cited reference. Two codes are provided, a Matlab Code and a Fortran code.

Reference:

Sabetta F, Pugliese A., Fiorentino G., Lanzano G., Luzi L. (2021) 
Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes.
Bulletin of Earthquake Engineering.