cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7736626
title: glassDef dataset: metallic glass deformation

description: The glassDef dataset contains a set of text-based LAMMPS dump files corresponding to shear deformation tests on different bulk metallic glasses. This includes FeNi, CoNiFe, CoNiCrFe, CoCrFeMn, CoNiCrFeMn, and Co5Cr2Fe40Mn27Ni26 amorphous alloys with data files that exist in relevant subdirectories. Each dump file corresponds to multiple realizations and includes the dimensions of the simulation box as well as atom coordinates, the atom ID, and associated type of nearly 50,000 atoms.


Load glassDef Dataset in Python


The glassDef dataset may be loaded in Python into Pandas DataFrame. To go into the relevant subdirectory, run cd glass{glass_name}/Run[0-3]/ where “glass_name” denotes the chemical composition. Each subdirectory contains at least three glass realizations within subfolders that are labeled as “Run[0-3]”.


 


> cd glassFeNi/Run0; python


> import pandas


> df = pandas.read_csv("FeNi_glass.dump",skiprows=9)


 


One may display an assigned DataFrame in the form of a table:


 


> df.head()


 


To learn more about further analyses performed on the loaded data, please refer to the paper cited below.


 


glassDef Dataset Structure


glassDef Data Fields



	
Dump files: “id”, “type”, “x”, “y”, “z”.



 


glassDef Dataset Description



	
Paper: Karimi, Kamran, Amin Esfandiarpour, René Alvarez-Donado, Mikko J. Alava, and Stefanos Papanikolaou. "Shear banding instability in multicomponent metallic glasses: Interplay of composition and short-range order." Physical Review B 105, no. 9 (2022): 094117.



 



	
Contact: kamran.karimi@ncbj.gov.pl
DOI: 10.5281/zenodo.7736625
title: glassDef dataset: metallic glass deformation

description: The glassDef dataset contains a set of text-based LAMMPS dump files corresponding to shear deformation tests on different bulk metallic glasses. This includes FeNi, CoNiFe, CoNiCrFe, CoCrFeMn, CoNiCrFeMn, and Co5Cr2Fe40Mn27Ni26 amorphous alloys with data files that exist in relevant subdirectories. Each dump file corresponds to multiple realizations and includes the dimensions of the simulation box as well as atom coordinates, the atom ID, and associated type of nearly 50,000 atoms.


Load glassDef Dataset in Python


The glassDef dataset may be loaded in Python into Pandas DataFrame. To go into the relevant subdirectory, run cd glass{glass_name}/Run[0-3]/ where “glass_name” denotes the chemical composition. Each subdirectory contains at least three glass realizations within subfolders that are labeled as “Run[0-3]”.


 


> cd glassFeNi/Run0; python


> import pandas


> df = pandas.read_csv("FeNi_glass.dump",skiprows=9)


 


One may display an assigned DataFrame in the form of a table:


 


> df.head()


 


To learn more about further analyses performed on the loaded data, please refer to the paper cited below.


 


glassDef Dataset Structure


glassDef Data Fields



	
Dump files: “id”, “type”, “x”, “y”, “z”.



 


glassDef Dataset Description



	
Paper: Karimi, Kamran, Amin Esfandiarpour, René Alvarez-Donado, Mikko J. Alava, and Stefanos Papanikolaou. "Shear banding instability in multicomponent metallic glasses: Interplay of composition and short-range order." Physical Review B 105, no. 9 (2022): 094117.



 



	
Contact: kamran.karimi@ncbj.gov.pl
DOI: 10.5281/zenodo.7826004
title: Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

description: This repository contains several datasets of spectral atmospheric transfer functions (i.e. path radiance, transmittances, spherical albedo) simulated with MODTRAN6 atmospheric radiative transfer model. The simulations are stored in hdf5 files using the Atmospheric Look-up table Generator (ALG) toolbox (https://doi.org/10.5194/gmd-13-1945-2020). Each dataset has an associated .xml file that includes the configuration of ALG/MODTRAN6 executions. All datasets include the input atmospheric/geometric variables that are summarized in the following table. Each dataset file has a random distribution (based on latin hypercube sampling) these input variables with varying number of points (e.g. train500.h5 contains 500 samples). The reference dataset contains 10000 samples and was used as reference for evaluating Gaussian Processes emulators.



	
		
			Input Variables
			Units
			Min
			Max
		
	
	
		
			O3 column concentration
			atm-cm
			0.25
			0.45
		
		
			Columnar Water Vapor
			g/cm2
			0.2
			4
		
		
			Aerosol Optical Thickness
			-
			0.04
			0.6
		
		
			Asymmetry parameter
			-
			0.5
			0.85
		
		
			Angstrom exponent
			-
			0.1
			2
		
		
			Single Scattering Albedo
			-
			0.8
			1
		
		
			Surface elevation
			km
			0
			2.5
		
		
			Solar Zenith Angle
			deg
			0
			70
		
		
			Relative Zenith Angle
			deg
			0
			180
DOI: 10.5281/zenodo.7826005
title: Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

description: This repository contains several datasets of spectral atmospheric transfer functions (i.e. path radiance, transmittances, spherical albedo) simulated with MODTRAN6 atmospheric radiative transfer model. The simulations are stored in hdf5 files using the Atmospheric Look-up table Generator (ALG) toolbox (https://doi.org/10.5194/gmd-13-1945-2020). Each dataset has an associated .xml file that includes the configuration of ALG/MODTRAN6 executions. All datasets include the input atmospheric/geometric variables that are summarized in the following table. Each dataset file has a random distribution (based on latin hypercube sampling) these input variables with varying number of points (e.g. train500.h5 contains 500 samples). The reference dataset contains 10000 samples and was used as reference for evaluating Gaussian Processes emulators.



	
		
			Input Variables
			Units
			Min
			Max
		
	
	
		
			O3 column concentration
			atm-cm
			0.25
			0.45
		
		
			Columnar Water Vapor
			g/cm2
			0.2
			4
		
		
			Aerosol Optical Thickness
			-
			0.04
			0.6
		
		
			Asymmetry parameter
			-
			0.5
			0.85
		
		
			Angstrom exponent
			-
			0.1
			2
		
		
			Single Scattering Albedo
			-
			0.8
			1
		
		
			Surface elevation
			km
			0
			2.5
		
		
			Solar Zenith Angle
			deg
			0
			70
		
		
			Relative Zenith Angle
			deg
			0
			180
DOI: 10.6084/m9.figshare.24901710
title: Object-based Visual SLAM with Stereo Event Camera

description: This dataset contains the synthesized stereo event camera and stereo RGB camera data sequences used in the paper "Object-based Visual SLAM with Stereo Event Camera".
DOI: 10.6084/m9.figshare.24847848
title: asasasqasdasdasd

description: asdjkasjclwjeniocmisedv
DOI: 10.6084/m9.figshare.24847848.v1
title: asasasqasdasdasd

description: asdjkasjclwjeniocmisedv
DOI: 10.6084/m9.figshare.24901584.v1
title: Episodic tACS results - figshare.xlsx

description: Evidence implicating theta rhythms in declarative memory encoding and retrieval, together with the notion that both retrieval and consolidation involve memory reinstatement or replay, suggests that post-learning theta rhythm modulation can promote early consolidation of newly formed memories. Building on earlier work employing theta neurofeedback, we examined whether theta-frequency transcranial alternating stimulation (tACS) can engender effective consolidation of newly formed episodic memories, compared with beta frequency stimulation or sham control conditions. We compared midline frontal and posterior parietal theta stimulation montages, and examined whether benefits to memory of theta upregulation are attributable to consolidation rather than to retrieval processes by using a washout period to eliminate tACS after-effects between stimulation and memory assessment. Four groups of participants viewed object pictures followed by a free recall test during three study-test cycles. They then engaged in tACS (frontal theta montage / parietal theta montage / frontal beta montage / sham) for a period of 20 minutes, followed by a 2-hour break. Free recall assessments were conducted after the break, 24 hours later, and 7 days later. Frontal midline theta-tACS induced significant off-line retrieval gains at all assessment time points, relative to all other conditions. This indicates that theta upregulation provides optimal conditions for consolidation of episodic memory, independent of mental-state strategies.
DOI: 10.3886/e195721v1
title: Association of Tropical Biology and Conservation (ATBC) 2019 in Madagascar: Its impact on the national scientific

description: This was collected during the registration of the international conference ATBC 2019 and Post survey from the questionnaire we edited.<br>
description: We explored the conference's impact
on the professional lives of the attendees, as well as positive changes or
advancements in their careers resulting from their participation in the meeting
and insights into the long-term benefits that such international conferences
can offer to local researchers. <br>To ensure a comprehensive analysis, we also added
questions to explore any potential limitations experienced by participating Malagasy
scientists during the 2019 ATBC by identifying challenges or barriers, with the
aim to make informed recommendations to enhance future conference experiences
for attendees.
DOI: 10.6084/m9.figshare.24901584.v2
title: <b>Frontal midline theta transcranial alternating current stimulation</b><b>enhances immediate consolidation of episodic memory</b>

description: Evidence implicating theta rhythms in declarative memory encoding and retrieval, together with the notion that both retrieval and consolidation involve memory reinstatement or replay, suggests that post-learning theta rhythm modulation can promote early consolidation of newly formed memories. Building on earlier work employing theta neurofeedback, we examined whether theta-frequency transcranial alternating stimulation (tACS) can engender effective consolidation of newly formed episodic memories, compared with beta frequency stimulation or sham control conditions. We compared midline frontal and posterior parietal theta stimulation montages, and examined whether benefits to memory of theta upregulation are attributable to consolidation rather than to retrieval processes by using a washout period to eliminate tACS after-effects between stimulation and memory assessment. Four groups of participants viewed object pictures followed by a free recall test during three study-test cycles. They then engaged in tACS (frontal theta montage / parietal theta montage / frontal beta montage / sham) for a period of 20 minutes, followed by a 2-hour break. Free recall assessments were conducted after the break, 24 hours later, and 7 days later. Frontal midline theta-tACS induced significant off-line retrieval gains at all assessment time points, relative to all other conditions. This indicates that theta upregulation provides optimal conditions for consolidation of episodic memory, independent of mental-state strategies.
DOI: 10.3886/e195721v2
title: Association of Tropical Biology and Conservation (ATBC) 2019 in Madagascar: Its impact on the national scientific

description: This was collected during the registration of the international conference ATBC 2019 and Post survey from the questionnaire we edited.<br>
description: Presence of Common Scales: Several Likert-type scales were used<br>
description: We explored the conference's impact
on the professional lives of the attendees, as well as positive changes or
advancements in their careers resulting from their participation in the meeting
and insights into the long-term benefits that such international conferences
can offer to local researchers. <br>To ensure a comprehensive analysis, we also added
questions to explore any potential limitations experienced by participating Malagasy
scientists during the 2019 ATBC by identifying challenges or barriers, with the
aim to make informed recommendations to enhance future conference experiences
for attendees.
description: Smallest Geographic Unit: Madagascar
description: mail questionnaire; record abstracts;
DOI: 10.3886/e195721v3
title: Association of Tropical Biology and Conservation (ATBC) 2019 in Madagascar: Its impact on the national scientific

description: This was collected during the registration of the international conference ATBC 2019 and Post survey from the questionnaire we edited.

Conferences of the Association of Tropical Biology and Conservation aim to foster scientific understanding and conservation of tropical
ecosystems by supporting research communication and collaboration among
biologists and conservation practitioners working in the tropics. The annual
meeting in 2019 was held in Antananarivo, Madagascar. To assess the importance
of the meeting in the academic and professional development of the 89 Malagasy
participants, an anonymous questionnaire survey was conducted 12 months
after the meeting. Feedback from the respondents indicated that the three most
important aspects of the meeting were developing networks (40.0%); improving professional
skills (encompassing public speaking, data analysis, comments on their
presentations, writing capacity, and ability to publish) (30.0%); and gaining visibility
(16.7%). Among the respondents, 49% have subsequently become interest in problems
associated with deforestation, 28.6% in topics related to conservation biology,
14.3% to<b> </b>new approaches for solving conservation problems,
and 8.2% in food security issues. The survey found that language barriers and
lack of funds for research (about 64.6% of both cases) were the most limiting
factors to advance research programs for national scientists. The meeting also
acknowledged three Malagasy scientists who received Association
of Tropical Biology and Conservation awards. An important outcome was the “Ivato
Declaration” a petition to bring to the world’s attention the current
conservation situation on the island and for which nearly 7000 people from 124
countries signed. The survey indicated that national scientists and students received
multiple benefits and new opportunities from their participation in the meeting.


<br>
description: Presence of Common Scales: Several Likert-type scales were used<br>
description: We explored the conference's impact
on the professional lives of the attendees, as well as positive changes or
advancements in their careers resulting from their participation in the meeting
and insights into the long-term benefits that such international conferences
can offer to local researchers. <br>To ensure a comprehensive analysis, we also added
questions to explore any potential limitations experienced by participating Malagasy
scientists during the 2019 ATBC by identifying challenges or barriers, with the
aim to make informed recommendations to enhance future conference experiences
for attendees.
description: Smallest Geographic Unit: Madagascar
description: mail questionnaire; record abstracts;
DOI: 10.5281/zenodo.10429222
title: CONTINUITY CONJUNCTIONS OF PARAGENETIC LANDSCAPES
DOI: 10.5281/zenodo.10429223
title: CONTINUITY CONJUNCTIONS OF PARAGENETIC LANDSCAPES
DOI: 10.6084/m9.figshare.24845229
title: Species ocurrence data

description: This research delves into the fascinating world of mangroves and their inhabitants, particularly focusing on the diverse marine species, notably snails. The MaxEnt model serves as a powerful tool in predicting the potential global distribution of mangrove snails, with a specific emphasis on Cerithidea rhizophorarum and Telescopium telescopium in the Potamididae family.<br>The findings highlight the pivotal role of temperature and depth as the primary influencers shaping the distribution patterns of mangrove snails. For C. rhizophorarum, coastal areas with a temperature range of 20-25°C and a depth of 0-900m emerge as the most suitable habitats in both present and future models. On the other hand, T. telescopium thrives in coastal regions with temperatures between 30-33°C and depths ranging from 0-900m. The study's projections into the future, particularly in 2100, underscore the impact of global warming on the habitat suitability for mangrove snails. The models predict a contraction in the high suitability habitat, indicating the vulnerability of mangrove snails under evolving climate conditions.In a broader context, these findings contribute significantly to our understanding of the intricate relationship between mangrove habitats and snails. The research provides valuable insights that can serve as a foundation for conservation initiatives aimed at preserving the biodiversity and ecological functions of these vital coastal ecosystems amidst the challenges posed by climate change. The keywords—Mangrove snails, MaxEnt modeling, Climate change, and Global species distribution—succinctly capture the essence of the research, encapsulating its key components for easy reference and further exploration.
DOI: 10.6084/m9.figshare.24845229.v2
title: Species ocurrence data

description: This research delves into the fascinating world of mangroves and their inhabitants, particularly focusing on the diverse marine species, notably snails. The MaxEnt model serves as a powerful tool in predicting the potential global distribution of mangrove snails, with a specific emphasis on Cerithidea rhizophorarum and Telescopium telescopium in the Potamididae family.<br>The findings highlight the pivotal role of temperature and depth as the primary influencers shaping the distribution patterns of mangrove snails. For C. rhizophorarum, coastal areas with a temperature range of 20-25°C and a depth of 0-900m emerge as the most suitable habitats in both present and future models. On the other hand, T. telescopium thrives in coastal regions with temperatures between 30-33°C and depths ranging from 0-900m. The study's projections into the future, particularly in 2100, underscore the impact of global warming on the habitat suitability for mangrove snails. The models predict a contraction in the high suitability habitat, indicating the vulnerability of mangrove snails under evolving climate conditions.In a broader context, these findings contribute significantly to our understanding of the intricate relationship between mangrove habitats and snails. The research provides valuable insights that can serve as a foundation for conservation initiatives aimed at preserving the biodiversity and ecological functions of these vital coastal ecosystems amidst the challenges posed by climate change. The keywords—Mangrove snails, MaxEnt modeling, Climate change, and Global species distribution—succinctly capture the essence of the research, encapsulating its key components for easy reference and further exploration.
DOI: 10.6084/m9.figshare.24845229.v1
title: Ocuurence and Environmental data

description: This research delves into the fascinating world of mangroves and their inhabitants, particularly focusing on the diverse marine species, notably snails. The MaxEnt model serves as a powerful tool in predicting the potential global distribution of mangrove snails, with a specific emphasis on Cerithidea rhizophorarum and Telescopium telescopium in the Potamididae family.<br>The findings highlight the pivotal role of temperature and depth as the primary influencers shaping the distribution patterns of mangrove snails. For C. rhizophorarum, coastal areas with a temperature range of 20-25°C and a depth of 0-900m emerge as the most suitable habitats in both present and future models. On the other hand, T. telescopium thrives in coastal regions with temperatures between 30-33°C and depths ranging from 0-900m.<br>The study's projections into the future, particularly in 2100, underscore the impact of global warming on the habitat suitability for mangrove snails. The models predict a contraction in the high suitability habitat, indicating the vulnerability of mangrove snails under evolving climate conditions.<br>In a broader context, these findings contribute significantly to our understanding of the intricate relationship between mangrove habitats and snails. The research provides valuable insights that can serve as a foundation for conservation initiatives aimed at preserving the biodiversity and ecological functions of these vital coastal ecosystems amidst the challenges posed by climate change. The keywords—Mangrove snails, MaxEnt modeling, Climate change, and Global species distribution—succinctly capture the essence of the research, encapsulating its key components for easy reference and further exploration.
DOI: 10.5517/ccdc.csd.cc29fh8j
title: CCDC 2128127: Experimental Crystal Structure Determination

description: Related Article: Xiaohui Wang, Jianyu Zhang, Xiaoyu Mao, Yiwei Liu, Ruikuan Li, Jie Bai, Jun Zhang, Carl Redshaw, Xing Feng, Ben Zhong Tang|2022|J.Org.Chem.|87|8503|doi:10.1021/acs.joc.2c00617
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: 10.5281/zenodo.10429238
title: ФАКТОРНЫЕ АНАЛИЗЫ БОЛЕЗНИ АЛЬЦГЕЙМЕРА
DOI: 10.5281/zenodo.10429239
title: ФАКТОРНЫЕ АНАЛИЗЫ БОЛЕЗНИ АЛЬЦГЕЙМЕРА
DOI: 10.5281/zenodo.10429215
title: Coupling deep learning and physically-based hydrological models for monthly streamflow predictions

description: Revision in journal Water Resources Research, Manuscript number: 2023WR035618R

Abstract: This study proposes a new hybrid model for monthly streamflow predictions by coupling a physically-based distributed hydrological model with a deep learning (DL) model. Specifically, a simplified hydrological model is first developed by optimally selecting grid cells from a distributed hydrological model according to their soil moisture characteristics. It is then driven by bias corrected general circulation model (GCM) predictions to generate soil moistures for the forecasting months. Finally, model-simulated soil moisture along with other predictors from multiple sources are used as inputs of the DL model to predict future monthly streamflows. The proposed hybrid model, using the simplified Variable Infiltration Capacity (VIC) as the hydrological model and the combination of Convolutional Neural Network and Gated Recurrent Unit (CNN-GRU) as the DL model, is applied to predict 1-, 3-, and 6-month ahead reservoir inflows for the Danjiangkou Reservoir in China. The results show that the hybrid model consistently performs better than VIC and CNN-GRU models with great improvement in Kling‐Gupta efficiency (KGE) values for lead times up to 6 months. Additional tests indicate that hybrid models based on CNN-GRU outperform those based on LASSO, XGBoost, CNN, and GRU models. Moreover, compared with the distributed hydrological model, the hybrid model greatly reduces the computation burden of rolling prediction. It also saves decision-makers the time and effort of trying different combinations of predictors, which is indispensable when building DL models. Overall, the new hybrid model demonstrates great potential for monthly streamflow prediction where training data are limited.

Keywords: monthly streamflow prediction; deep learning; physically-based distributed hydrological model; VIC model; soil moisture; hybrid model
DOI: 10.5281/zenodo.10429252
title: Keypoints extracted from custom videos, collected for human activity recognition project
DOI: 10.5281/zenodo.10429253
title: Keypoints extracted from custom videos, collected for human activity recognition project
DOI: 10.5281/zenodo.10427912
title: Midway RSS-related files backup (Data, waist2015)
DOI: 10.5281/zenodo.10427913
title: Midway RSS-related files backup (Data, waist2015)