cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2b5mcj
title: CCDC 2150357: Experimental Crystal Structure Determination

description: Related Article: Deepak Ranolia, Idan Avigdori, Kuldeep Singh, Aleksandr Koronatov, Natalia Fridman, Mark Gandelman|2022|Org.Lett.|24|3915|doi:10.1021/acs.orglett.2c01108
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bkjwb
title: CCDC 2161812: Experimental Crystal Structure Determination

description: Related Article: Deepak Ranolia, Idan Avigdori, Kuldeep Singh, Aleksandr Koronatov, Natalia Fridman, Mark Gandelman|2022|Org.Lett.|24|3915|doi:10.1021/acs.orglett.2c01108
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: 10.6084/m9.figshare.20055218.v2
title: In-situ observation of storm-induced wave-supported fluid mud occurrence in the subaqueous Yellow River delta

description: These Datasets are used in a manuscript submitted to JGR-Oceans (# 2021JC018190RR ).
DOI: 10.6084/m9.figshare.20055218.v1
title: In-situ observation of storm-induced wave-supported fluid mud occurrence in the subaqueous Yellow River delta

description: These Datasets are used in a manuscript submitted to JGR-Oceans.
DOI: 10.34740/kaggle/dsv/3781258
title: WallStreetBets 2022
DOI: 10.5281/zenodo.6634139
title: Model Zoo: A Dataset of Diverse Populations of Neural Network Models - STL10 - Preprocessed Datasets

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 24 model zoos with varying hyperparameter combinations are generated and includes 47’360 unique neural network models resulting in over 2’415’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the zoos trained on the labelled samples from STL10. All zoos with extensive information and code can be found at www.modelzoos.cc. This repository contains the preprocessed model zoos wrapped in a custom pytorch dataset class (filenames beginning with "dataset"). Zoos are trained with small and large CNN models, in three configurations varying the seed only (seed), varying hyperparameters with fixed seeds (hyp_fix) or varying hyperparameters with random seeds (hyp_rand). Due to the large filesize, the raw datasets are hosted in a separate repository. The index_dict.json files contain information on how to read the vectorized models. For more information on the zoos and code to access and use the zoos, please see www.modelzoos.cc.
description: This dataset is part of a larger collection of model zoo datasets. Further information and references to all zoos can be found on www.modelzoos.cc
DOI: 10.5281/zenodo.6634138
title: Model Zoo: A Dataset of Diverse Populations of Neural Network Models - STL10 - Preprocessed Datasets

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 24 model zoos with varying hyperparameter combinations are generated and includes 47’360 unique neural network models resulting in over 2’415’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the zoos trained on the labelled samples from STL10. All zoos with extensive information and code can be found at www.modelzoos.cc. This repository contains the preprocessed model zoos wrapped in a custom pytorch dataset class (filenames beginning with "dataset"). Zoos are trained with small and large CNN models, in three configurations varying the seed only (seed), varying hyperparameters with fixed seeds (hyp_fix) or varying hyperparameters with random seeds (hyp_rand). Due to the large filesize, the raw datasets are hosted in a separate repository. The index_dict.json files contain information on how to read the vectorized models. For more information on the zoos and code to access and use the zoos, please see www.modelzoos.cc.
description: This dataset is part of a larger collection of model zoo datasets. Further information and references to all zoos can be found on www.modelzoos.cc
DOI: 10.5281/zenodo.6634279
title: Microbiome composition and autochthonous probiotics from contrasting probiosis/dysbiosis states in cobia (Rachycentron canadum) fish epitheliocystis

description: Bacterial isolates from cobia tissues, feeding sources and aquaria waters: identity and relevant activities. Source raw sequence data in Supplementary Online Material Data 1
DOI: 10.5281/zenodo.6634278
title: Microbiome composition and autochthonous probiotics from contrasting probiosis/dysbiosis states in cobia (Rachycentron canadum) fish epitheliocystis

description: Bacterial isolates from cobia tissues, feeding sources and aquaria waters: identity and relevant activities. Source raw sequence data in Supplementary Online Material Data 1
DOI: 10.5281/zenodo.6634281
title: statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022

description: statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022
DOI: 10.5281/zenodo.6634280
title: statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022

description: statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022
DOI: 10.34740/kaggle/dsv/3781630
title: YouTube Daily
DOI: 10.6084/m9.figshare.20055287
title: Efficiency of Near-infrared technology in the detection of carious lesions: A Systematic Review

description: Efficiency of Near-infrared technology in the detection of carious lesions: A Systematic Review
DOI: 10.5281/zenodo.6471913
title: Topics in Romanian Periodicals (1919-1944)

description: The data used in the following dataset was collected from the first volume "The Bibliography of the Relationships Between Romanian Literature and Foreign Literatures in Periodicals (1919-1944)" (Eds. Ana-Maria Brezuleanu, Ileana Mihăilă, Viorica Nișcov, Michaela Şchiopu, Cornelia Ștefănescu), published by the Romanian Academy in 1997. The dataset accounts for nearly all topics pertaining to foreign literatures published in Romanian periodicals active between 1919 and 1944. Nodes concerned with the periodicals were marked with an [R] for easy filtering. Out of the 6455 articles included in the first volume of the <em>Bibliography</em>, only 2193 have been processed, the rest of them having topics that are either too nationally-oriented, too minor, or are not topics at all (i.e. literary reviews). Out of the 2193 articles, I managed to extract 90 topics (Table 1) spanning 268 magazines from all regions of Greater Romania (Bessarabia included). This data was mined from the <em>Bibliography</em> following its digitization, since in its analog form, any exploratory data analysis would have been painstakingly difficult to achieve. With all the necessary information at hand, this tool can be used extensively for a comparative analysis of literary influence and popular trends within Romanian modernist culture. The only downside concerning this lexicographical project is that it understandably lacks an equally comprehensive counterpart covering the reception of Romanian literature abroad. Details describing the analysis of the dataset will be published in the following paper: Emanuel Modoc, Alex Goldiș, "Nationalizing International Prestige. Foreign Literatures in Romanian Interwar Periodicals", <em>Transilvania </em>3, 2022 (forthcoming).
DOI: 10.5281/zenodo.6471912
title: Topics in Romanian Periodicals (1919-1944)

description: The data used in the following dataset was collected from the first volume "The Bibliography of the Relationships Between Romanian Literature and Foreign Literatures in Periodicals (1919-1944)" (Eds. Ana-Maria Brezuleanu, Ileana Mihăilă, Viorica Nișcov, Michaela Şchiopu, Cornelia Ștefănescu), published by the Romanian Academy in 1997. The dataset accounts for nearly all topics pertaining to foreign literatures published in Romanian periodicals active between 1919 and 1944. Nodes concerned with the periodicals were marked with an [R] for easy filtering. Out of the 6455 articles included in the first volume of the <em>Bibliography</em>, only 2193 have been processed, the rest of them having topics that are either too nationally-oriented, too minor, or are not topics at all (i.e. literary reviews). Out of the 2193 articles, I managed to extract 90 topics (Table 1) spanning 268 magazines from all regions of Greater Romania (Bessarabia included). This data was mined from the <em>Bibliography</em> following its digitization, since in its analog form, any exploratory data analysis would have been painstakingly difficult to achieve. With all the necessary information at hand, this tool can be used extensively for a comparative analysis of literary influence and popular trends within Romanian modernist culture. The only downside concerning this lexicographical project is that it understandably lacks an equally comprehensive counterpart covering the reception of Romanian literature abroad. Details describing the analysis of the dataset will be published in the following paper: Emanuel Modoc, Alex Goldiș, "Nationalizing International Prestige. Foreign Literatures in Romanian Interwar Periodicals", <em>Transilvania </em>3, 2022 (forthcoming).
DOI: 10.5281/zenodo.6471824
title: Foreign Literature Translations in Romanian Periodicals (1919-1944)

description: The following dataset accounts for nearly all translated poetry and prose from foreign languages into Romanian in the country's periodicals between 1919 and 1944. Nodes concerned with the periodicals were marked with an [R] for easy filtering. The tables were exported using Gephi after a series of statistical algorithms were employed using the tool. In separating the different national cultures that were translated in the periodicals, we have chosen to upload separate files for each of the twelve foreign literatures. The data was collected from "The Bibliography of the Relationships Between Romanian Literature and Foreign Literatures in Periodicals (1919-1944)", published by the Romanian Academy between 1997 and 2009. Details describing the analysis of the dataset will be published in the paper "Transnational Networks, Translational Canons. Foreign Literatures in the Romanian Interwar Periodical Culture", in <em>The Role of Translations in Shaping National Literatures</em>, Eds. Alex Goldiș, Ștefan Baghiu, Berlin: Peter Lang, 2022 (forthcoming).
description: This work was supported by a grant of the Romanian Ministry of Education and Research, CNCS - UEFISCDI, project number PN-III-P4-ID-PCE-2020-2006, within PNCDI III.
DOI: 10.5281/zenodo.6471823
title: Foreign Literature Translations in Romanian Periodicals (1919-1944)

description: The following dataset accounts for nearly all translated poetry and prose from foreign languages into Romanian in the country's periodicals between 1919 and 1944. Nodes concerned with the periodicals were marked with an [R] for easy filtering. The tables were exported using Gephi after a series of statistical algorithms were employed using the tool. In separating the different national cultures that were translated in the periodicals, we have chosen to upload separate files for each of the twelve foreign literatures. The data was collected from "The Bibliography of the Relationships Between Romanian Literature and Foreign Literatures in Periodicals (1919-1944)", published by the Romanian Academy between 1997 and 2009. Details describing the analysis of the dataset will be published in the paper "Transnational Networks, Translational Canons. Foreign Literatures in the Romanian Interwar Periodical Culture", in <em>The Role of Translations in Shaping National Literatures</em>, Eds. Alex Goldiș, Ștefan Baghiu, Berlin: Peter Lang, 2022 (forthcoming).
description: This work was supported by a grant of the Romanian Ministry of Education and Research, CNCS - UEFISCDI, project number PN-III-P4-ID-PCE-2020-2006, within PNCDI III.
DOI: 10.34740/kaggle/dsv/3781775
title: Indonesian Words Audioset
DOI: 10.34740/kaggle/ds/2257246
title: Indonesian Words Audioset
DOI: 10.6084/m9.figshare.16929340
title: Source Data for "Cost Increase in the Electricity Supply to Achieve Carbon Neutrality in China"

description: This repository provides the detailed data for the figures in the manuscript, "Cost Increase in the Electricity Supply to Achieve Carbon Neutrality in China". <br> The article was submitted to Nature Communications for peer review on 22 August 2021 and accepted on 22 April 2022. The details of the main article are as follows. DOI: 10.1038/s41467-022-30747-0 Online link: https://www.nature.com/articles/s41467-022-30747-0 Citation: Zhuo, Z., Du, E., Zhang, N. et al. Cost increase in the electricity supply to achieve carbon neutrality in China. Nat Commun 13, 3172 (2022). <br> If you want to use the date provided in the repository, please cite the above article. It will be better if you can also cite this dataset.
DOI: 10.5281/zenodo.6548413
title: AM Duncan-Kemp's glossaries

description: The glossaries at the rear of books by AM Duncan-Kemp combined in one alphabetical list.
description: {"references": ["AM Duncan-Kemp. Where strange paths go down. Brisbane: W.R. Smith & Paterson.1st edition 1952. . http://books.google.com.au/books?id=ZP85AQAAIAAJ 2nd edition. 1964 pages 294-9", "AM Duncan-Kemp. Where strange gods call. Brisbane: W.R. Smith & Paterson. 1968 pages 305-320. https://www.google.com.au/books/edition/Where Strange Gods Call/HdoJAQAAIAAJ"]}
DOI: 10.34740/kaggle/dsv/3781994
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.5281/zenodo.6631582
title: Stigma, Activity Monitoring, and Pain (StAMP) study

description: Original and cleaned data, analysis scripts (R scripts), and script outputs for the StAMP study.
DOI: 10.5281/zenodo.6631581
title: Stigma, Activity Monitoring, and Pain (StAMP) study

description: Original and cleaned data, analysis scripts (R scripts), and script outputs for the StAMP study.
DOI: 10.5281/zenodo.6634414
title: Datos documentales de los topónimos en -ain

description: Lista de datos documentales de los topónimos terminados en -<em>ain</em>.
DOI: 10.5281/zenodo.6634413
title: Datos documentales de los topónimos en -ain

description: Lista de datos documentales de los topónimos terminados en -<em>ain</em>.
DOI: 10.5281/zenodo.6634437
title: Protonotaria citrea SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634436
title: Protonotaria citrea SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634467
title: Erythroxylum hondense SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634466
title: Erythroxylum hondense SPAdes preassembly

description: .
DOI: 10.25934/pr00004970.3
title: Available IPD datapackage for study 'Comparative Efficacy of Duloxetine vs Escitalopram in Patients With Fibromyalgia'

description: Duloxetine is FDA approved as pharmacological treatment for Fibromyalgia. The use of SSRIs has been endorsed by the 2013 Canadian guidelines. The data available for Escitalopram as a treatment modality for Fibromyalgia is limited, however small trials have demonstrated its efficacy. No head to head comparisons between escitalopram and duloxetine have been undertaken. We aim to conduct a single blind, randomized control trial to assess the comparative efficacy of duloxetine vs escitalopram in drug naive patients with newly diagnosed Fibromyalgia.
DOI: 10.25934/pr00007880
title: Stan Test New DNS 6/11

description: Stan Test New DNS 6/11
DOI: 10.34740/kaggle/dsv/3782267
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.6634478
title: Tagetes patula SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634477
title: Tagetes patula SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634479
title: Open-source DGGS comparison data supplement

description: A DGGS is a type of spatial reference system that partitions the globe into many individual, evenly spaced, and well-aligned cells to encode location. We calculated normalized area and compactness of cell geometries for 5 open-source DGGS implementations - Uber H3, Google S2, RiskAware OpenEAGGR, rHEALPix by Landcare Research New Zealand, and DGGRID by Southern Oregon University - to evaluate their suitability for a global-level statistical data cube. This repository contains all generated data and statistics. EAGGR doesn't seem to have a predefined logic of hierarchical cell resolutions for ISEA3H EAGGR doesn't seem to have a region filling algorithm available, neither for ISEA4T nor ISEA3H rHEALPix is pure Python (with Numpy/Scipy support), but cell generation/conversion is slower than the other C/C++ based implementations DGGRID is a commandline tool and can predominantly only be used to generate a grid and fill with sampling data, the Python API is only a wrapper Kmoch et. al (2022). Area and Shape Distortions in Open-Source Discrete Global Grid Systems. <strong><em>Big Earth Data</em></strong>
DOI: 10.34740/kaggle/dsv/3782304
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6634491
title: Nisaetus floris SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634490
title: Nisaetus floris SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634497
title: Spilornis abbotti SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6634496
title: Spilornis abbotti SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/3782507
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.20055482
title: RNA-seq raw count matrix

description: HEK293 cells were maintained in DMEM supplemented with 10% fetal bovine serum (FBS) and antibiotics in humidified atmosphere with 5% CO2 at 37C. RNA was harvested using Rneasy mini plus kit (Qiagen). RNA integrity was assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA). 3 ug of total RNA was used for the construction of sequencing libraries. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations. RNA-seq raw reads of fastq format were firstly processed through in-house perl scripts. Index of the reference genome (hg38) was built using Hisat2 v2.0.5 and paired-end clean reads were aligned to the reference genome using Hisat2 v2.0.5. featureCounts v1.5.0-p3 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene.
DOI: 10.6084/m9.figshare.20055482.v1
title: RNA-seq raw count matrix

description: HEK293 cells were maintained in DMEM supplemented with 10% fetal bovine serum (FBS) and antibiotics in humidified atmosphere with 5% CO2 at 37C. RNA was harvested using Rneasy mini plus kit (Qiagen). RNA integrity was assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA). 3 ug of total RNA was used for the construction of sequencing libraries. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations. RNA-seq raw reads of fastq format were firstly processed through in-house perl scripts. Index of the reference genome (hg38) was built using Hisat2 v2.0.5 and paired-end clean reads were aligned to the reference genome using Hisat2 v2.0.5. featureCounts v1.5.0-p3 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene.
DOI: 10.6084/m9.figshare.19152587
title: Survey data of children's attitudes towards trees and the use of wood

description: raw dataset in Excel that served as the basis of statistical analysis
DOI: 10.5281/zenodo.1324997
title: Supporting data for "Snap happy: camera traps are an effective sampling tool when compared to alternative methods"

description: Author recommendations and response ratios extracted from studies comparing camera traps to another survey method. These data underlie the analyses in a the journal article 'Snap happy: camera traps are an effective sampling tool when compared to alternative methods', published in the journal Royal Society Open Science (https://doi.org/10.1098/rsos.181748).
DOI: 10.6084/m9.figshare.20055500
title: Survey data of children's attitudes towards trees and the use of wood

description: Survey data of children's attitudes towards trees and the use of wood
DOI: 10.34740/kaggle/dsv/3782900
title: Taxi trip data NYC
DOI: 10.7910/dvn/qa1wpx
title: Replication Data for: Air Quality Impacts of Shale Gas Development in Pennsylvania

description: This is the replication file for tables and figures in the paper.