cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/1zrg-ht32
title: Comparison Wind turbine

description: re-experimentation. Note: All the datasets listed will be submitted. At the time of creating this link, they were even ready for upload. But I have suddenly found a new idea for improved complex, so deleted those datasets and reason for delay for new is - some errors, resdesigning, + lot personal work + pressure in getting new project + stress. How will I proceed, myself dont know but datasets/research will be uploaded. (cannot upload details as I m afraid, someoneelse will upload ).I cannot make profile hidden.This dataset is generated from a series of experiments to know the impact ofThe same has been done for , which is in other doi- . And the result of this study has been used to study "kw wind turbine"So datasets doi -"generator" , "comparison wind turbine", are related. Three papers related to these t submit to IEEE TransThis dataset contain simulation results,comparisons ,animated phase portraits.In this study,it was concluded that by do affects the active and reactive power generation.
DOI: 10.5519/qd.rtbv46af
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4416172 records)
DOI: 10.21227/w2zq-az35
title: kW Wind turbine

description: Note: All the datasets listed will be submitted. At the time of creating this link, they were even ready for upload. But I have suddenly found a new idea for improved complex, so deleted those datasets and reason for delay for new is - some errors, resdesigning, + lot personal work + pressure in getting new project + stress. How will I proceed, myself dont know but datasets/research will be uploaded. (cannot upload details as I m afraid, someoneelse will upload ).I cannot make profile hidden.From the datasets "comparison wind e " and " ", it was concluded that the do have effect on the active and reactive power.So taking this, new experiment has been performed with full integration withand modelfeederThere is fault on thewhere vector group Dyn11 transformer iHere, model is designed as per Indian Electricity rules, so any other part ofEuler-Lagrange is sThe Jacobian
DOI: 10.14469/hpc/6095
title: C10 CCSD/Def2-TZVPP Kekule mode =-781 cm-1

description: Gaussian Calculation
DOI: 10.7910/dvn/o4hcup/diojib
title: Example Calculations Secondary CACE.tab

description: :unav
DOI: 10.7910/dvn/o4hcup/et10ft
title: Example Calculations Primary CACE.tab

description: :unav
DOI: 10.5061/dryad.v2v2827/2
title: Real data example code
DOI: 10.5061/dryad.v2v2827/3
title: Time transformation simulations
DOI: 10.5281/zenodo.3402482
title: Handschriftencensus data for Network of Shared Manuscript Transmission

description: List of nodes and edges to create networks of shared manuscripts transmission with the data from <em>Handschriftencensus</em> (http://handschriftencensus.de) The files can be uploaded directly to <em>Gephi</em> and can be easily adapted to use in other softwares for network analysis. Reading the<em> Gephi</em> documentation should be enough to understand the fields used.
DOI: 10.5281/zenodo.3402483
title: Handschriftencensus data for Network of Shared Manuscript Transmission

description: List of nodes and edges to create networks of shared manuscripts transmission with the data from <em>Handschriftencensus</em> (http://handschriftencensus.de) The files can be uploaded directly to <em>Gephi</em> and can be easily adapted to use in other softwares for network analysis. Reading the<em> Gephi</em> documentation should be enough to understand the fields used.
DOI: 10.5519/qd.d24nbrvy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.25345/c59w89
title: MassIVE MSV000084303 - Proteomic profile of human Schwann cells
title: Schwann cells (SC) are essential to the growth, maintenance and regeneration of peripheral nerves, but the proteome of normal human SC is poorly defined. Here, we performed a proteomic analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS) to identify the protein expression profile of primary human SC. A total of 19,557 peptides corresponding to 1,553 proteins were identified, with 1% false discovery rate (FDR). Ingenuity Pathway Analysis (IPA), Gene Ontology (GO) and Database for Annotation, Visualization and Integrated Discovery (DAVID) were used to assign protein localization and function, and to define enriched pathways. EIF2, mTOR and integrin signalling were among the most enriched pathways and the most enriched biological function was cell-cell adhesion, which is in agreement with the supportive role of SC in peripheral nerves. This proteome analysis of normal human SC may help in the molecular exploration of neurological and malignant diseases where SC are involved.
DOI: 10.5281/zenodo.3402406
title: Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk (sequence model release)

description: (This is the updated version that has been converted a standard pytorch model format) This is the deep learning sequence model used in Jian Zhou, Chandra L. Theesfeld, Kevin Yao, Kathleen M. Chen, Aaron K. Wong, and Olga G. Troyanskaya, Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk, Nature Genetics, 2018. Note the full software is available from https://github.com/FunctionLab/ExPecto and this release is created for the convenience of use and under the same non-commercial license. The model weights can be loaded with pytorch load_state_dict function (for an example please find https://github.com/FunctionLab/ExPecto/blob/master/chromatin.py). We also provide a web server for browsing mutations with strong predicted effects at https://hb.flatironinstitute.org/expecto/, which are currently limited to mutations within 1kb to TSS or are 1000 Genomes variants. Trivia: we code-named our models with whale names. This model has an unofficial codename DeepSEA "Beluga".
DOI: 10.25919/5d75e14c8120d
title: Supplementary material for article: X chromosome variants were associated to heritable fertility traits, in two bovine populations.

description: X chromosome variants were associated to heritable fertility traits, in two bovine populations. Fortes, Porto-Neto et al. 2019. Background: Targeting phenotypes related to bull fertility, such as sperm morphology and sperm DNA fragmentation can help identify mutations that limit reproduction capacity. Twenty-five fertility-related phenotypes were measured as indicators of bull fertility (1,099 Brahman bulls and 1,719 Tropical Composite bulls). Measurements included standard bull breeding soundness measures (e.g. sperm motility), scrotal circumference, sperm DNA fragmentation and sperm protamine deficiency. These phenotypes were used in a genome-wide association studies that aimed to detect quantitative trait loci (QTL). Results: Genomic analyses confirmed some QTL in both breeds (Brahman and Tropical Composites) while others were breed specific. For example, only in Brahman cattle, we identified polymorphisms associated (P &lt; 10-16) with sperm midpiece morphological abnormalities. The QTL identified and mutations occurring only in Bos indicus suggest that the gene A-kinase anchoring protein (AKAP)14 might be related to midpiece abnormalities in Brahman. Associated mutations described herein corroborate with known genes affecting spermatogenesis, including those in the AKAP and testis-expressed gene (TEX) families. Polymorphism associations suggest that AKAP14 and TEX11 are positional and functional candidate genes in chromosome X affecting bull fertility. Most significant variants and QTLs mapped to chromosome X. These results add evidence to a mammalian specialization of X that evolved to harbor genes linked to spermatogenesis, as similarly observed in mice and humans. Some variants in X may affect more than one genetically correlated trait (r2 ~ 0.33–0.51), such as sperm morphology and sperm DNA fragmentation. Correlations and shared QTL support the hypothesis that these phenotypes have the same underlying cause: faulty spermatogenesis. In addition, heritabilities for sperm DNA fragmentation and sperm protamine deficiency were moderate (h2 ~ 0.21–0.47), being the first reported estimates. Conclusions: Genetic improvement for bull fertility is possible through selective breeding. Genomic selection for bull fertility might be more accurate if the X chromosome mutations that underlie the discovered QTL are included in the analyses. Variants associated with bull fertility accumulate in the X chromosome, as they do in humans and mice, thus, suggesting specialization of this chromosome.
DOI: 10.21227/pve6-4a84
title: Long-Term Spectral Pseudo-Entropy (LTSPE) Feature

description: This is the source code (MATLAB) of the LTSPE feature. Speech detection systems are known as a type of audio classifier systems which are used to recognize, detect or mark parts of audio signal including human speech. Here, a novel robust feature named Long-Term Spectral Pseudo-Entropy (LTSPE) is proposed to detect speech and its purpose is to improve performance in combination with other features, increase accuracy and to have acceptable performance. Experimental results show that if LTSPE is combined with other features, performance of the detector is improved. Moreover, this feature has higher accuracy compared to similar ones.
DOI: 10.3886/e111022v2
title: Matlab Codes for Optimal Collateralized Contracts

description: This repository holds Matlab codes to compute the optimal collateralized contracts for "Optimal Collateralized Contracts" by Cao and Lagunoff
DOI: 10.7910/dvn/8zxfhi/7jqbdk
title: DEE_Python_Simulations_TWOSOLUTIONS.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/cabgu5
title: Updated_DEE_agent.pyc

description: :unav
DOI: 10.7910/dvn/8zxfhi/edrari
title: DEE_Python_Simulations_TWOABILITIES.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/lhzs0s
title: DEE_Python_CombineData_FIVEABILITIES.PY

description: :unav
DOI: 10.7910/dvn/8zxfhi/q6ttec
title: Updated_DEE_agent_network.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/twtjrn
title: Updated_DEE_agent_network.pyc

description: :unav
DOI: 10.7910/dvn/8zxfhi/0872ke
title: DEE_Python_Simulations_FIVESOLUTIONS.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/08aefj
title: Updated_DEE_problem_space.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/d4jan6
title: DEE_Python_Simulations_SUBMIT_TWOABILITIES.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/fadn1h
title: NK_Space_Generator.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/ijcnbt
title: Updated_DEE_problem_space.pyc

description: :unav
DOI: 10.7910/dvn/8zxfhi/kkbfgl
title: Updated_DEE_agent.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/krbwis
title: DEE_Python_Simulations_SUBMIT_FIVEABILITIES.py

description: :unav
DOI: 10.7910/dvn/8zxfhi/mhbyty
title: DEE_Python_CombineData_TWOABILITIES.PY

description: :unav
DOI: 10.7910/dvn/8zxfhi/r0gvie
title: DEE_Python_Simulations_FIVEABILITIES.py

description: :unav
DOI: 10.21227/8j1z-fx20
title: Long-Term Spectral Pseudo-Entropy (LTSPE) Feature

description: This is the source code (MATLAB) of the LTSPE feature. Speech detection systems are known as a type of audio classifier systems which are used to recognize, detect or mark parts of audio signal including human speech. Here, a novel robust feature named Long-Term Spectral Pseudo-Entropy (LTSPE) is proposed to detect speech and its purpose is to improve performance in combination with other features, increase accuracy and to have acceptable performance. Experimental results show that if LTSPE is combined with other features, performance of the detector is improved. Moreover, this feature has higher accuracy compared to similar ones.
DOI: 10.21227/gm6f-g072
title: Long-Term Spectral Pseudo-Entropy (LTSPE) Feature

description: This is the source code (MATLAB) of the LTSPE feature. Speech detection systems are known as a type of audio classifier systems which are used to recognize, detect or mark parts of audio signal including human speech. Here, a novel robust feature named Long-Term Spectral Pseudo-Entropy (LTSPE) is proposed to detect speech and its purpose is to improve performance in combination with other features, increase accuracy and to have acceptable performance. Experimental results show that if LTSPE is combined with other features, performance of the detector is improved. Moreover, this feature has higher accuracy compared to similar ones.
DOI: 10.21227/zt5c-5m27
title: Long-Term Spectral Pseudo-Entropy (LTSPE) Feature

description: This is the source code (MATLAB) of the LTSPE feature. Speech detection systems are known as a type of audio classifier systems which are used to recognize, detect or mark parts of audio signal including human speech. Here, a novel robust feature named Long-Term Spectral Pseudo-Entropy (LTSPE) is proposed to detect speech and its purpose is to improve performance in combination with other features, increase accuracy and to have acceptable performance. Experimental results show that if LTSPE is combined with other features, performance of the detector is improved. Moreover, this feature has higher accuracy compared to similar ones.
DOI: 10.7910/dvn/8zxfhi/sfyn2j
title: DEE_Python_CombineData_FIVESOLUTIONS.PY

description: :unav
DOI: 10.5281/zenodo.3385333
title: Atmospheric and sea ice model fields from the perturbed parameter ensemble E3SMv0-HILAT used to examine emergent relationships among climate variables in the Arctic

description: These files contain time series of several sea ice ad atmospheric fields produced in an ensemble of perturbed parameter simulations using the E3SMv0-HiLAT model. The time series are used to produced seasonal means, which are used to examine emerging relationships in the ensemble discussed in our manuscript, as of September 2019, in review at JGR
DOI: 10.5281/zenodo.3385334
title: Atmospheric and sea ice model fields from the perturbed parameter ensemble E3SMv0-HILAT used to examine emergent relationships among climate variables in the Arctic

description: These files contain time series of several sea ice ad atmospheric fields produced in an ensemble of perturbed parameter simulations using the E3SMv0-HiLAT model. The time series are used to produced seasonal means, which are used to examine emerging relationships in the ensemble discussed in our manuscript, as of September 2019, in review at JGR
DOI: 10.5519/qd.m002qmfw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.5281/zenodo.3402564
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.25606/surf.578c6039-128863ed
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-048)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 048 of the 2048³ resolution collection.
DOI: 10.25606/surf.578c6039-2405ea77
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-050)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 050 of the 2048³ resolution collection.
DOI: 10.25606/surf.578c6039-e4e9ff12
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-051)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 051 of the 2048³ resolution collection.
DOI: 10.25606/surf.578c6039-e977cc2e
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-049)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 049 of the 2048³ resolution collection.
DOI: 10.7910/dvn/2q6jop/062kvy
title: TwoBubblesMultiplePoresCa0_06.tar.gz

description: :unav
DOI: 10.7910/dvn/2q6jop/lrqgi4
title: OneBubbleSinglePoreCa0_01.tar.gz

description: :unav
DOI: 10.7910/dvn/2q6jop/ovudeq
title: OneBubbleSinglePoreCa0_03.tar.gz

description: :unav
DOI: 10.7910/dvn/2q6jop/tftcuu
title: OneBubbleSinglePoreCa0_11.tar.gz

description: :unav
DOI: 10.7910/dvn/2q6jop/vsdzh2
title: TwoBubblesMultiplePoresCa0_2.tar.gz

description: :unav
DOI: 10.7910/dvn/2q6jop/w3selx
title: OneBubbleSinglePoreCa0_3.tar.gz

description: :unav
DOI: 10.15468/rp9pv3
title: Vegetación asociada a la ciénaga de Bete, municipio del Medio Atrato, Chocó 2008

description: Con esta investigación se pretende consolidar la información base obtenida a través de información existente relacionada con aspectos biológicos, socioculturales y económicos de las ciénagas, asi como realizar una aproximación a las concepciones socioculturales y económicas de las comunidades que se benefician de las ciénagas del Municipio del medio Atrato, a partir de la interacción con sus integrantes. Contiene dos capítulos en los cuales se describe y analiza la panorámica general del municipio del Medio Atrato y sus ecosistemas Cenagosos, tomando como base la información bibliográfica existente en los diferentes planes de ordenamiento de la zona, así como las investigaciones desarrolladas por instituciones como: IIAP, COODECHOCÓ, UTCH, ICA, INCODER y los concejos comunitarios de la zona agrupados en COCOMACIA; a partir de esta información se pudo sintetizar y analizar la situación: Económica, Social, Cultural y Biológica de la Zona. Ademas se muestran las concepciones socieoconómicas y culturales de la población asentada en las ciénagas, información levantada a traves de talleres y entrevistas con miembros de las comunidades
DOI: 10.5061/dryad.3qk1303/1
title: Dryad Item 10.5061/DRYAD.3QK1303/1

description: (:tba)
DOI: 10.5061/dryad.3qk1303/2
title: Dryad Item 10.5061/DRYAD.3QK1303/2

description: (:tba)
DOI: 10.25345/c5fq0s
title: MassIVE MSV000084302 - Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast
title: cell cycle studies in the budding yeast Saccharomyces cerevisiae.
DOI: 10.5061/dryad.j4869rd/1
title: Dryad Item 10.5061/DRYAD.J4869RD/1

description: (:tba)
DOI: 10.5061/dryad.j4869rd/2
title: Dryad Item 10.5061/DRYAD.J4869RD/2

description: (:tba)
DOI: 10.5061/dryad.j4869rd/3
title: Dryad Item 10.5061/DRYAD.J4869RD/3

description: (:tba)
DOI: 10.5061/dryad.j4869rd/4
title: Dryad Item 10.5061/DRYAD.J4869RD/4

description: (:tba)
DOI: 10.5061/dryad.j4869rd/5
title: Dryad Item 10.5061/DRYAD.J4869RD/5

description: (:tba)
DOI: 10.5061/dryad.j4869rd/6
title: Dryad Item 10.5061/DRYAD.J4869RD/6

description: (:tba)
DOI: 10.5061/dryad.j4869rd/7
title: Dryad Item 10.5061/DRYAD.J4869RD/7

description: (:tba)
DOI: 10.21227/ccq6-em81
title: Non Linear Dynamic

description: Cannot delete this, neither can make it hidden, Paper work need some more additons, will take some months, will do along with new job or new project, (was gathering all past work )This dataset is insupport of new mathematical insight and method , (mathematical validity proof is in paper) but dataset is to make claims easily understandle even by beginner.Even code file is given so that professors,researchers can verify claim but (work under construction ,so how will it end- I dont know) ,
DOI: 10.5061/dryad.54gb2m9/1
title: Dryad Item 10.5061/DRYAD.54GB2M9/1

description: (:tba)