cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1332188.09fu
title: SH1332188.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1332189.09fu
title: SH1332189.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1332190.09fu
title: SH1332190.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1332191.09fu
title: SH1332191.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1332192.09fu
title: SH1332192.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1332193.09fu
title: SH1332193.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.35077/add-bed
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 695576844

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 695576844', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'695576844', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'695576844', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.2574941
title: bluffbody_LES

description: An implementation of a Volvo Flygmotor AB bluff-body reacting flow simulation for OpenFOAM with a vectorized ODE solver
DOI: 10.5281/zenodo.2536501
title: dStruct: identifying differentially reactive regions from RNA structurome profiling data, Datasets.

description: Datasets, code and results supporting the manuscript:

Choudhary, K., Lai, Y.-H., Tran, E. J. & Aviran, S. dStruct: identifying differentially reactive regions from RNA structurome profiling data.
DOI: 10.5281/zenodo.7619
title: Data For: A Comparison Of The Influence Of Different Multi-Core Processors On The Runtime Overhead For Application-Level Monitoring

description: Application-level monitoring is required for continuously operating software systems to maintain their performance and availability at runtime. Performance monitoring of software systems requires storing time series data in a monitoring log or stream. Such monitoring may cause a significant runtime overhead to the monitored system.

In this paper, we evaluate the influence of multi-core processors on the overhead of the Kieker application-level monitoring framework. We present a breakdown of the monitoring overhead into three portions and the results of extensive controlled laboratory experiments with microbenchmarks to quantify these portions of monitoring overhead under controlled and repeatable conditions. Our experiments show that the already low overhead of the Kieker framework may be further reduced on multi-core processors with asynchronous writing of the monitoring log.

Our experiment code and data are available as open source software such that interested researchers may repeat or extend our experiments for comparison on other hardware platforms or with other monitoring frameworks.

This dataset supplements the paper and contains the raw experimental data as well as several generated diagrams for each experiment.
DOI: 10.5281/zenodo.1297686
title: Artifact For Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

description: This release is to track the Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces artifact submission.
DOI: 10.5281/zenodo.1297689
title: Artifact For Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

description: This release is to track the Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces artifact submission.
DOI: 10.35077/add-bet
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732058780

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732058780', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'732058780', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'732058780', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.34740/kaggle/ds/2329670
title: SMDG, A Standardized Fundus Glaucoma Dataset
DOI: 10.35077/add-bid
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732115399

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732115399', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'732115399', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'732115399', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.35077/add-big
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 758308097

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 758308097', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'758308097', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'758308097', Locations:'TemL' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.2425856
title: tcompa/Data_2D_Fermi_dipoles: v1.0.2

description: Data_2D_Fermi_dipoles

Here we report the supporting data for the manuscript "Two-dimensional Mixture of Dipolar Fermions: Equation of State and Magnetic Phases", by Tommaso Comparin, Raul Bombin, Markus Holzmann, Ferran Mazzanti, Jordi Boronat, and Stefano Giorgini (Phys. Rev. A 99, 043609 (2019), https://arxiv.org/abs/1812.08064). If you use these data in a scientific work, please cite the corresponding article [Phys. Rev. A 99, 043609 (2019)].

For additional details, please contact Tommaso Comparin (tommaso.comparin@unitn.it, tommaso.comparin@gmail.com).

The data described in the manuscript are organized as follows:


	Data for Fig. 1 (EOS for P=0) are in the folder Energies_JS_small_density.
	Data for Fig. 2 (pair distribution functions for P=0) are in the folder Pair_distribution_function_P0.
	Data for Fig. 3 (pair distribution functions for P=0 at small density) are in the folder Pair_distribution_function_P0_small_density.
	Data for Fig. 4 and Table I (Jastrow-Slater and Backflow energies, for different polarizations) are in the folder Energies_JS_and_BF.
	Data for Fig. 5 (polaron energies at density n*r_0^2=40) are in the folder Energies_polaron.
	Data for Fig. 6 and Table II (iterated-backflow energies) are in the folder Energies_iterated_bacfklow.


Each folder contains a README file with a description of the data files and additional details on the simulations.

NOTES

Two sets of units are used for the energy (see README files in each folder):


	Dipolar units, as in the manuscript, correspond to the energy scale epsilon_0=hbar^2/(m*r_0^2).
	Density units correspond to the energy scale hbar^2/(2<em> </em>m<em> </em>a^2), where a=1/sqrt(pi*n) is the mean interparticle distance.


 

New in v1.0.2: Updated license to CC BY 4.0.

New in v1.0.1: Minor update to Energies_JS_small_density/data_energies_P0_N74_JS.dat.
DOI: 10.5281/zenodo.160118
title: The Raw Eeg Data, 4 Files (Eeg_A To D), In European Data Format (.Edf)

description: EEG data for comparison to PIR-estimated sleep in the Wellcome Open Research article:

'COMPASS: Continuous Open Mouse Phenotyping of Activity and Sleep Status'
DOI: 10.5281/zenodo.160344
title: Pir Data And Eeg Scoring For Wellcome Open Research Methods Paper (Brown Et Al 2016)

description: PIR data and EEG-scored sleep in the Wellcome Open Research article:

'COMPASS: Continuous Open Mouse Phenotyping of Activity and Sleep Status'

 

1sensorPIRvsEEGdata.csv  -  PIR based actigraphy for mice to compare to EEG-scored sleep

EEG_4mice10sec.csv  -  Manually scored sleep from EEG files (.edf) from 10.5281/zenodo.160118

blandAltLandD.csv  -  paired estimates of sleep by PIR and EEG methods (sum of 4 mice over 1 day in 30min bins)

<br>
1monthPIRsleep.csv  - 1 month of activity for for figure 4

<br>
24mice_activity_LD1week.csv  - activity and sleep for 24 wt mice (for hierarchical clustering in figure 4)<br>
24mice_sleep_LD1week.csv
DOI: 10.5281/zenodo.57751
title: Unit Ontology Review V1.1.0 Results

description: Precomputed results of the Unit Ontology Review v1.1.0.
DOI: 10.5281/zenodo.19070
title: Working Draft - Offene-Doktorarbeit.De - Version: 0.7

description: Im Rahmen von offene-doktorarbeit.de wird das Promotionsvorhaben mit dem Titel: "Von Open Access zu Open Science: Zum Wandel von wissenschaftlicher Kommunikation" unmittelbar bei der Erstellung für jeden, jederzeit frei zugänglich im Internet veröffentlicht. Die aktuelle Version befindet sich auf GitHub und auf live.offene-doktorarbeit.de.
DOI: 10.5281/zenodo.31247
title: Offene-Doktorarbeit: Release - Working Draft (0.9)

description: Restrukturierung (pre-final)
	sprachliche Verbesserungen
	weitere inhaltliche Ausarbeitungen
	Statistiken und Grafiken
	weitere Abarbeitung Todos
	uvm.
description: Siehe auch http://offene-doktorarbeit.de
DOI: 10.6073/pasta/bb412a71261b743a376025458d0f06e9
title: Atmospheric Wet Deposition in Urban and Suburban Sites Across the United States

description: These data are for the publication: Conrad-Rooney, E., J. Gewirtzman, Y. Pappas, V.J. Pasquarella, L.R. Hutyra, and P.H. Templer. 2023. Atmospheric Wet Deposition in Urban and Suburban Sites Across the United States. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2023.119783 This study investigated long-term trends in atmospheric wet deposition of nitrogen (ammonium and nitrate), sulfate, cations, and chloride for urban and suburban sites in the U.S. using data from the National Atmospheric Deposition Program and assessed whether urban NADP sites are hotspots for atmospheric wet deposition. To examine potential impacts of urbanization on atmospheric wet deposition, percent impervious surface area and population density data were extracted from Google Earth Engine. The results of this study highlight that urban areas have greater rates of many forms of atmospheric deposition and that there should be more long-term monitoring of atmospheric deposition in cities and suburban sites throughout the U.S. Data sources: - Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021): U.S. Geological Survey data release, doi:10.5066/P9KZCM54 - National Atmospheric Deposition Program (NRSP-3). 2022. NADP Program Office, Wisconsin State Laboratory of Hygiene, 465 Henry Mall, Madison, WI 53706. https://nadp.slh.wisc.edu/networks/national-trends-network/ - United States Census Bureau, TIGER: US Census Blocks, 2010 United States Census. https://developers.google.com/earth-engine/datasets/catalog/TIGER_2010_Blocks#description
DOI: 10.5281/zenodo.31948
title: Ranmrdata: V0.0.1

description: ranmrdata is the companion R data package for Thorne et al.'s manuscript The Low Abundance and High Catchability of Large Piscivorous Ferox Trout (Salmo trutta) in Loch Rannoch, Scotland.
DOI: 10.5281/zenodo.41665
title: State Of Iowa Hydrological Network (90M Hillslopes)

description: This dataset covers State of Iowa (USA), decomposed into 600,000 hillslopes using the algorithm developed by Mantilla and Gupta (2005). The data is organized as a hierarchical network structure.
DOI: 10.5281/zenodo.32054
title: Naca Xx20 Xfoil Coefficients

description: NACA XX20 coefficients calculated with XFOIL via QBlade.
DOI: 10.35077/add-bin
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 835674226

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 835674226', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'835674226', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'835674226', Locations:'ITG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.11003
title: Proiel-Treebank: 20140723 Version

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.11369
title: Proiel-Treebank: 20140806 Version

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.11370
title: Proiel-Treebank: 20140822 Release

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.11957
title: Proiel-Treebank: 20141003 Release

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.13002
title: Proiel-Treebank: 20141201 Release

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.13315
title: Proiel-Treebank: 20141219 Release

description: This release adds the following works to the treebank:


	Herodotus, <em>Histories</em>
	Cicero, <em>Letters to Atticus</em>
	Caesar, <em>The Gallic War</em>
	Sphrantzes, <em>Chronicles</em>
DOI: 10.5281/zenodo.14852
title: Proiel-Treebank: 20150205 Release

description: Official releases of the PROIEL treebank of ancient Indo-European languages
DOI: 10.5281/zenodo.18582
title: Proiel-Treebank: 20150615 Release

description: This release adds the <em>Peregrinatio Aetheriae</em> to the treebank, adds further material from the <em>Gallic War</em> and <em>Letters to Atticus</em> and includes numerous corrections across the treebank.