cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3778994
title: Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment

description: This repository contains the raw results (by word information-theoretic measures for the experimental stimuli) and the LSTM models analyzed in Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. The models from the synthetic experiments are given in the synthetic archive, as well as the training data generation script. There is a README included that gives more details for recreating/evaluating results from those experiments. The naming convention for each model in the models directory is:<br> [Language]_hidden[Hidden Units]_batch[Batch Size]_dropout[Dropout Rate]_lr[Learning Rate]_[Model Number].pt Language: en for English and es for Spanish<br> Hidden Units: All models had two layers with 650 hidden units per layer<br> Batch Size: The size of the batch (128 for English, 64 for Spanish)<br> Dropout Rate: All models used a dropout rate of 0.2<br> Learning Rate: All models has a learning rate of 20<br> Model Number: Identifier of the model (English model 0 is the best model from Gulordava et al. (2018))
DOI: 10.5281/zenodo.3778993
title: Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment

description: This repository contains the raw results (by word information-theoretic measures for the experimental stimuli) and the LSTM models analyzed in Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. The models from the synthetic experiments are given in the synthetic archive, as well as the training data generation script. There is a README included that gives more details for recreating/evaluating results from those experiments. The naming convention for each model in the models directory is:<br> [Language]_hidden[Hidden Units]_batch[Batch Size]_dropout[Dropout Rate]_lr[Learning Rate]_[Model Number].pt Language: en for English and es for Spanish<br> Hidden Units: All models had two layers with 650 hidden units per layer<br> Batch Size: The size of the batch (128 for English, 64 for Spanish)<br> Dropout Rate: All models used a dropout rate of 0.2<br> Learning Rate: All models has a learning rate of 20<br> Model Number: Identifier of the model (English model 0 is the best model from Gulordava et al. (2018))
DOI: 10.7284/138445
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK200103 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138446
title: Fluorometer data collected during research cruise FK200103 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138447
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK200103 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138448
title: Gyrocompass data collected during research cruise FK200103 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138441
title: INS (Inertial Navigation System) data collected during research cruise FK200103 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138444
title: INS (Inertial Navigation System) data collected during research cruise FK200103 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138449
title: INS (Inertial Navigation System) data collected during research cruise FK200103 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138442
title: Meteorological Station data collected during research cruise FK200103 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138443
title: Meteorological Station data collected during research cruise FK200103 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138451
title: Meteorological Station data collected during research cruise FK200103 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138437
title: Multibeam Echosounder data collected during research cruise FK200103 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138452
title: Multibeam Echosounder data collected during research cruise FK200103 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34740/kaggle/dsv/1637740
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.7284/138453
title: Multibeam Echosounder data collected during research cruise FK200103 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138457
title: Multibeam Echosounder data collected during research cruise FK200103 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138439
title: pH data collected during research cruise FK200103 using a SUNBURST SAMI-pH instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138438
title: Radiometer data collected during research cruise FK200103 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138458
title: Radiometer data collected during research cruise FK200103 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138459
title: Radiometer data collected during research cruise FK200103 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138440
title: Speedlog data collected during research cruise FK200103 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138455
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK200103 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138456
title: TSG (Thermosalinograph) data collected during research cruise FK200103 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5519/qd.9brj0ti6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4666161 records)
DOI: 10.6084/m9.figshare.7246985.v14
title: pretrained networks for deep learning applications

description: Pretrained networks for a variety of problems.<br>WBIR networks are named wbir* <br>put them all in a folder called "models" then see create_wbir_models.R for how to load them<br>wbir_random_vgg_3d --- 3dvgg initialized with random weights<br>wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations<br>wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations<br>wbir_brain_age_weights -- weights for brain age<br>wbir_pseudo_vgg_ -- 2d vgg transferred to 3d
DOI: 10.6084/m9.figshare.12830297
title: arCOG genes used to create Fig. S6

description: List of arCOG genes used to generate the DPANN phylogenetic tree shown in Fig. S6.<br>
DOI: 10.6084/m9.figshare.12830297.v2
title: arCOG genes used to create Fig. S6

description: List of arCOG genes used to generate the DPANN phylogenetic tree shown in Fig. S6.<br>
DOI: 10.6084/m9.figshare.12830297.v1
title: arCOG genes used to create Fig. S6

description: List of arCOG genes used to generate the DPANN phylogenetic tree shown in Fig. S6.<br>
DOI: 10.18112/openneuro.ds003371.v1.0.0
title: Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
DOI: 10.18112/openneuro.ds003372.v1.0.0
title: Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
DOI: 10.18112/openneuro.ds003373.v1.0.0
title: Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
DOI: 10.5281/zenodo.4268464
title: Dados coletados das revistas de revisão aberta do Directory of Open Access Journals

description: Dados coletados para pesquisa que visa analisar os periódicos científicos adeptos da revisão por pares aberta e que estão indexados no Directory of Open Access Journals. Os dados apontam as características descritivas e características de revisão dos periódicos.
DOI: 10.5281/zenodo.4268463
title: Dados coletados das revistas de revisão aberta do Directory of Open Access Journals

description: Dados coletados para pesquisa que visa analisar os periódicos científicos adeptos da revisão por pares aberta e que estão indexados no Directory of Open Access Journals. Os dados apontam as características descritivas e características de revisão dos periódicos.
DOI: 10.18112/openneuro.ds003374.v1.0.0
title: Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
DOI: 10.21227/2c1a-mg46
title: ModelSimple1.0

description: KNN and raw data
DOI: 10.5281/zenodo.4139612
title: Replication package for: The Equilibrium Impact of Agricultural Risk on Intermediate Inputs and Aggregate Productivity

description: The package contains the necessary code and data to reproduce the figures and tables in Donovan (forthcoming), "The Equilibrium Impact of Agricultural Risk on Intermediate Inputs and Aggregate Productivity," Review of Economic Studies. Detailed instructions on accessing the raw data are available in the README file.
DOI: 10.5281/zenodo.3973748
title: Replication package for: The Equilibrium Impact of Agricultural Risk on Intermediate Inputs and Aggregate Productivity

description: The package contains the necessary code and data to reproduce the figures and tables in Donovan (forthcoming), "The Equilibrium Impact of Agricultural Risk on Intermediate Inputs and Aggregate Productivity," Review of Economic Studies. Detailed instructions on accessing the raw data are available in the README file.
DOI: 10.6084/m9.figshare.13223303.v1
title: deepFlashLeft16.h5

description: Updated (11/11/2020) weights for hippocampal segmentation using deep flash.
DOI: 10.6084/m9.figshare.13223303
title: deepFlashLeft16.h5

description: Updated (11/11/2020) weights for hippocampal segmentation using deep flash.
DOI: 10.6084/m9.figshare.13223300
title: deepFlashRight16.h5

description: Updated (11/11/2020) weights for hippocampal segmentation using deep flash.
DOI: 10.6084/m9.figshare.13223300.v1
title: deepFlashRight16.h5

description: Updated (11/11/2020) weights for hippocampal segmentation using deep flash.
DOI: 10.5519/qd.3yqqi001
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (631 records)
DOI: 10.5519/qd.36lagbxy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (354 records)
DOI: 10.5517/ccdc.csd.cc239c71
title: CCDC 1945412: Experimental Crystal Structure Determination

description: Related Article: M. Naqi Ahamad, M. Shahnawaz Khan, M. Shahid, Musheer Ahmad|2020|Dalton Trans.|49|14690|doi:10.1039/D0DT02949A
DOI: 10.5517/ccdc.csd.cc239c93
title: CCDC 1945414: Experimental Crystal Structure Determination

description: Related Article: M. Naqi Ahamad, M. Shahnawaz Khan, M. Shahid, Musheer Ahmad|2020|Dalton Trans.|49|14690|doi:10.1039/D0DT02949A
DOI: 10.5517/ccdc.csd.cc2581fy
title: CCDC 2003729: Experimental Crystal Structure Determination

description: Related Article: Allan Starkholm, Lars Kloo, Per H. Svensson|2020|J.Am.Chem.Soc.|142|18437|doi:10.1021/jacs.0c06698
DOI: 10.5517/ccdc.csd.cc2581gz
title: CCDC 2003730: Experimental Crystal Structure Determination

description: Related Article: Allan Starkholm, Lars Kloo, Per H. Svensson|2020|J.Am.Chem.Soc.|142|18437|doi:10.1021/jacs.0c06698
DOI: 10.5517/ccdc.csd.cc2581h0
title: CCDC 2003731: Experimental Crystal Structure Determination

description: Related Article: Allan Starkholm, Lars Kloo, Per H. Svensson|2020|J.Am.Chem.Soc.|142|18437|doi:10.1021/jacs.0c06698
DOI: 10.5517/ccdc.csd.cc25sqwl
title: CCDC 2019770: Experimental Crystal Structure Determination

description: Related Article: Kenson Ambrose, Jennifer N. Murphy, Christopher M. Kozak|2020|Inorg.Chem.|59|15375|doi:10.1021/acs.inorgchem.0c02348
DOI: 10.5517/ccdc.csd.cc25sqxm
title: CCDC 2019771: Experimental Crystal Structure Determination

description: Related Article: Kenson Ambrose, Jennifer N. Murphy, Christopher M. Kozak|2020|Inorg.Chem.|59|15375|doi:10.1021/acs.inorgchem.0c02348
DOI: 10.5517/ccdc.csd.cc25sqyn
title: CCDC 2019772: Experimental Crystal Structure Determination

description: Related Article: Kenson Ambrose, Jennifer N. Murphy, Christopher M. Kozak|2020|Inorg.Chem.|59|15375|doi:10.1021/acs.inorgchem.0c02348
DOI: 10.5517/ccdc.csd.cc25sqzp
title: CCDC 2019773: Experimental Crystal Structure Determination

description: Related Article: Kenson Ambrose, Jennifer N. Murphy, Christopher M. Kozak|2020|Inorg.Chem.|59|15375|doi:10.1021/acs.inorgchem.0c02348
DOI: 10.5517/ccdc.csd.cc25t7qz
title: CCDC 2020261: Experimental Crystal Structure Determination

description: Related Article: Marco Coletta, Sergio Sanz, Daniel J. Cutler, Simon J. Teat, Kevin J. Gagnon, Mukesh K. Singh, Euan K. Brechin, Scott J. Dalgarno|2020|Dalton Trans.|49|14790|doi:10.1039/D0DT02731F
DOI: 10.5517/ccdc.csd.cc25v64d
title: CCDC 2021173: Experimental Crystal Structure Determination

description: Related Article: Li-Long Dang, Hui-Jun Feng, Yue-Jian Lin, Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|18946|doi:10.1021/jacs.0c09162
DOI: 10.5517/ccdc.csd.cc25v65f
title: CCDC 2021174: Experimental Crystal Structure Determination

description: Related Article: Li-Long Dang, Hui-Jun Feng, Yue-Jian Lin, Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|18946|doi:10.1021/jacs.0c09162
DOI: 10.5517/ccdc.csd.cc25v67h
title: CCDC 2021176: Experimental Crystal Structure Determination

description: Related Article: Li-Long Dang, Hui-Jun Feng, Yue-Jian Lin, Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|18946|doi:10.1021/jacs.0c09162
DOI: 10.5517/ccdc.csd.cc25wmc2
title: CCDC 2022544: Experimental Crystal Structure Determination

description: Related Article: Fang Wang, Austin T. Cannon, Moumita Bhattacharya, Robert Baumgarten, Ryan T. VanderLinden, Caroline T. Saouma|2020|Chem.Commun.|56|12142|doi:10.1039/D0CC04310A
DOI: 10.25386/genetics.13103411.v1
title: Supplemental Material for Maniates, Olson, and Abbott, 2020

description: Supplemental files available at Figshare. Figure S1 is qPCR data comparing microRNA levels in strains used in this study, a quantification of unfertilized oocytes after mating, and quantification of developmental stage at 48 hours following plating. Figure S2 is images to accompany the quantification of appearance of first sperm using the <i>his-72::gfp </i>transgene and representative images of SPE-44 labeled gonad arms in the <i>mir-45(xw8) mir-42/44(nDf49) </i>mutant. Figure S3 is detection of <i>mir-45(xw8) </i>in young adult male gonad arms. Figure S4 is a quantification of early embryos in control, <i>mir-44</i>, <i>fbf-1</i>, <i>fem-3</i>, and <i>fog-1</i> mutant worms. Table S1 is a list of primers used in this study. Table S2 is a list of strains used in this study. Table S3 is phenotypic characterization of <i>mir-44 </i>family mutant combinations. Table S4 is a list of computationally predicted <i>mir-44 </i>family germline expressed targets. Table S5 is a list of gene ontology terms of <i>mir-44 </i>family germline expressed targets.
DOI: 10.25386/genetics.13103411
title: Supplemental Material for Maniates, Olson, and Abbott, 2020

description: Supplemental files available at Figshare. Figure S1 is qPCR data comparing microRNA levels in strains used in this study, a quantification of unfertilized oocytes after mating, and quantification of developmental stage at 48 hours following plating. Figure S2 is images to accompany the quantification of appearance of first sperm using the <i>his-72::gfp </i>transgene and representative images of SPE-44 labeled gonad arms in the <i>mir-45(xw8) mir-42/44(nDf49) </i>mutant. Figure S3 is detection of <i>mir-45(xw8) </i>in young adult male gonad arms. Figure S4 is a quantification of early embryos in control, <i>mir-44</i>, <i>fbf-1</i>, <i>fem-3</i>, and <i>fog-1</i> mutant worms. Table S1 is a list of primers used in this study. Table S2 is a list of strains used in this study. Table S3 is phenotypic characterization of <i>mir-44 </i>family mutant combinations. Table S4 is a list of computationally predicted <i>mir-44 </i>family germline expressed targets. Table S5 is a list of gene ontology terms of <i>mir-44 </i>family germline expressed targets.
DOI: 10.5281/zenodo.4268601
title: The hypothesis of a 'core' community receives poor support when confronted with simulated and empirical data

description: The field of community ecology is evolving rapidly as researchers are able to tie functions of systems to variation in taxa. In inferring processes, functions, and causal taxa, common practice is to assume a ‘core’ community can be defined. The core refers to a group of taxa found across samples, and statistically, is the discretization or categorization of continuous data. Assuming thresholds in abundance exist, and that a core microbiome exists, has the potential to be misleading. Rather, the existence of a core set of taxa should be treated as a hypothesis with support from empirical observations. An additional challenge is that there is no standard set of criteria for core membership. Consequently, comparison across studies is often impossible. We considered four common methods for defining a core and applied them to 25 simulations that cover a range of plausible communities and two published microbial data sets. Next, we used hierarchical clustering and bivariate plots of mean taxon abundance and variance to evaluate each method. Assignment of taxa to the core varied substantially among methods. Across simulations and published data sets, hierarchical clustering of taxa based on their abundance and prevalence (variation) offered no support for a core set of taxa. The categorization of taxa into sets corresponding to a core community and other taxa has the potential to be misleading. Given that the concept of core communities received poor support from data, the concept is questionable and should not be used without testing its validity in any particular context.
DOI: 10.6084/m9.figshare.13222226
title: Whole proteome-level PhosphoPICK predictions

description: This is the expanded set of all predictions for PhosphoPICK, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)<br>Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project)<br>Each entry indicates the protein at position (identified by peptide ) has a score weight prediction of with kinase .<br>
DOI: 10.6084/m9.figshare.13222226.v1
title: Whole proteome-level PhosphoPICK predictions

description: This is the expanded set of all predictions for PhosphoPICK, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)<br>Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project)<br>Each entry indicates the protein at position (identified by peptide ) has a score weight prediction of with kinase .<br>
DOI: 10.5281/zenodo.3940620
title: A Finite State Tranducer that models Chinese Historical Phonology

description: This is a finite state transducer that tries to model Chinese historical phonology from Old Chinese as reconstructed by Baxter and Sagart in <em>Old Chinese: a New Reconstruction</em> (Oxford, 2014) to Middle Chinese as presented in the system of Baxter in <em>A Handbook of Old Chinese Phonology </em>(Mouton, 1992).
DOI: 10.5281/zenodo.3700693
title: Automatically computed correspondence patterns among six Burmish languages (based on 500 concepts in Huang 1992)

description: This document is a printout of automatically computed correspondence patterns amount six Burmish languages (Old Burmese, Longchuan Achang, Xiandao, Atsi, Bola, and Maru). It uses as input 500 concepts taken from Huang 1992.
DOI: 10.5281/zenodo.3940619
title: A Finite State Tranducer that models Chinese Historical Phonology

description: This is a finite state transducer that tries to model Chinese historical phonology from Old Chinese as reconstructed by Baxter and Sagart in <em>Old Chinese: a New Reconstruction</em> (Oxford, 2014) to Middle Chinese as presented in the system of Baxter in <em>A Handbook of Old Chinese Phonology </em>(Mouton, 1992).
DOI: 10.5281/zenodo.3700692
title: Automatically computed correspondence patterns among six Burmish languages (based on 500 concepts in Huang 1992)

description: This document is a printout of automatically computed correspondence patterns amount six Burmish languages (Old Burmese, Longchuan Achang, Xiandao, Atsi, Bola, and Maru). It uses as input 500 concepts taken from Huang 1992.
DOI: 10.5281/zenodo.3339309
title: Linguistic Survey of India (in IPA)

description: This dataset is lexical lists from the Linguistic Survey of India, normalized into IPA. <em>Linguistic survey of India</em> / [compiled and edited] by George Abraham Grierson. Calcutta : Office of the Superintendent of Government Printing, India, 1903-1928.
DOI: 10.5281/zenodo.3339308
title: Linguistic Survey of India (in IPA)

description: This dataset is lexical lists from the Linguistic Survey of India, normalized into IPA. <em>Linguistic survey of India</em> / [compiled and edited] by George Abraham Grierson. Calcutta : Office of the Superintendent of Government Printing, India, 1903-1928.
DOI: 10.17608/k6.auckland.13224338
title: Supplementary Table S1

description: ΔR values (yr) used in the recalibration of published radiocarbon ages of reef island materials. <br>