cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35077/ace-say
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880991732

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880991732', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'880991732', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'880991732', 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: 10.35077/ace-set
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880462484

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880462484', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'880462484', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'880462484', 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: 10.35077/ace-shy
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880352738

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880352738', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'880352738', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'880352738', 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: 10.35077/ace-sip
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880238289

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 880238289', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'880238289', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'880238289', 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: 10.35077/ace-sit
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 868240930

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 868240930', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'868240930', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'868240930', Locations:'MFG' 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/ace-ski
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854629312

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854629312', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'854629312', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'854629312', Locations:'SFG' 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/ace-sky
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854622053

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854622053', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'854622053', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'854622053', Locations:'SFG' 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/dsv/4763376
title: Printed Digits Dataset
DOI: 10.35077/ace-sly
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854543457

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854543457', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'854543457', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'854543457', Locations:'SFG' 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/ace-sob
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854528751

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 854528751', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'854528751', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'854528751', Locations:'SFG' 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/dsv/4763352
title: US Electric Utility Rates 2022
DOI: 10.35077/ace-soy
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 852671126

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 852671126', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'852671126', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'852671126', 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.7478131
title: acanthurus_tractus_ragtag_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7478130
title: acanthurus_tractus_ragtag_1.fasta.gz

description: .
DOI: 10.5281/zenodo.6951435
title: Dataset: Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System

description: The dataset provided here is intended for publication - Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System.<br> The assembled dataset comprises the following subcategories as detailed in the Method section of the publication: i) map of the defined region, ii) aggregated grid network topology, iii) vRES potentials – profile and installable generation capacity, iv) geographically installable capacity of biomass thermal plants, v) hydropower plants inflow, vi) existing and planned power generators with their capacity, vii) electricity load profile, viii) scenarios of sectoral energy demand and iv) cross-border electricity exchanges. This dataset is resolved geographically by Brazilian federal states, and time series data are resolved by hours, spanning the period 2012-2020. The dataset can be used as input to popular open energy system models such as PyPSA and any other modeling framework.
DOI: 10.5281/zenodo.7477994
title: Dataset: Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System

description: The dataset provided here is intended for publication - Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System. Direct use of our provided datasets is available from Zenodo, and the source code to generate the datasets is published in Gitlab. We describe the data collection process in detail and open source the code for data processing and analysis in our publication. <br> The assembled dataset includes the following subcategories, as detailed in the methods section of our publication: i) geospatial data for Brazil, ii) aggregated grid network topology, iii) vRES potentials --- profile and installable generation capacity, iv) geographically installable capacity of biomass thermal plants, v) hydropower plants inflow, vi) existing and planned power generators with their capacity, vii) electricity load profile, viii) scenarios of sectoral energy demand and ix) cross-border electricity exchanges. This dataset is resolved geographically by Brazilian federal states, and time series data are resolved by hours, spanning 2012-2020. The dataset can be used as input to popular open energy system models such as PyPSA and any other modelling framework.
DOI: 10.5281/zenodo.7478165
title: Dataset: Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System

description: The dataset provided here is intended for publication - Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System. Direct use of our provided datasets is available from Zenodo, and the source code to generate the datasets is published in Gitlab. We describe the data collection process in detail and open source the code for data processing and analysis in our publication. <br> The assembled dataset includes the following subcategories, as detailed in the methods section of our publication: i) geospatial data for Brazil, ii) aggregated grid network topology, iii) vRES potentials --- profile and installable generation capacity, iv) geographically installable capacity of biomass thermal plants, v) hydropower plants inflow, vi) existing and planned power generators with their capacity, vii) electricity load profile, viii) scenarios of sectoral energy demand and ix) cross-border electricity exchanges. This dataset is resolved geographically by Brazilian federal states, and time series data are resolved by hours, spanning 2012-2020. The dataset can be used as input to popular open energy system models such as PyPSA and any other modelling framework. We encourage you to contribute to improving the datasets.
DOI: 10.5281/zenodo.6951434
title: Dataset: Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System

description: The dataset provided here is intended for publication - Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System. Direct use of our provided datasets is available from Zenodo, and the source code to generate the datasets is published in Gitlab. We describe the data collection process in detail and open source the code for data processing and analysis in our publication. <br> The assembled dataset includes the following subcategories, as detailed in the methods section of our publication: i) geospatial data for Brazil, ii) aggregated grid network topology, iii) vRES potentials --- profile and installable generation capacity, iv) geographically installable capacity of biomass thermal plants, v) hydropower plants inflow, vi) existing and planned power generators with their capacity, vii) electricity load profile, viii) scenarios of sectoral energy demand and ix) cross-border electricity exchanges. This dataset is resolved geographically by Brazilian federal states, and time series data are resolved by hours, spanning 2012-2020. The dataset can be used as input to popular open energy system models such as PyPSA and any other modelling framework. We encourage you to contribute to improving the datasets.
DOI: 10.5281/zenodo.7477576
title: Multi-wavelength study of ionospheric irregularities

description: The data contains supporting metadata for a research article.
DOI: 10.35077/ace-spa
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 840142358

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: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 840142358', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'840142358', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'840142358', 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: 10.5066/f7mk6bt7
title: Native and Invasive Species Plant Growth and Mortality in Growth Media Inoculated with Bacteria Found on Phragmites From New Jersey (2016)

description: Bacteria were isolated from seeds of non-native Phragmites australis (haplotype M) then representatives were evaluated for their capacities to become intracellular in root cells, and their effects on: 1.) germination rates and seedling growth, 2.) susceptibility to damping-off disease, and 3.) mortality and growth of competitor plant seedlings (dandelion (Taraxacum officionale F. H. Wigg) and curly dock (Rumex crispus L.)). The experiments included the following assessments of Phragmites-associated bacteria (Pseudomonas spp, strains Sandy LB4 (Pseudomonas fluorescens) and West 9 (Pseudomonas sp.)): capacity for plant growth promotion (using Poa annua seeds), Poa annua and Phragmites australis seed germination and seedling root architecture, disease protection (co-culture experiments with soil fungi), damping off disease control (with pathogen Fusarium oxysporum), and multiple competitor inhibition experiments (with Taraxacum officionale and Rumex crispus L.). In total, 10 laboratory experiments were performed, data from eight of which are recorded in this data release.
DOI: 10.5281/zenodo.7478200
title: ctenochaetus_striatus_decontamination_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7478199
title: ctenochaetus_striatus_decontamination_FSCR.fasta.gz

description: .
DOI: 10.25919/p8gq-jz59
title: Parkes observations for project P1172 semester 2022OCTS_03

description: PSR J1713+0747 is an extremely stable millisecond pulsar used in global pulsar timing array campaigns as a high priority pulsar because of its strong S/N, narrow profile and long-term observation history. In April 2021, the pulsar experienced a significant event related to a change in its magnetosphere, presented as an observable change in the pulsar’s profile. Since then, the pulsar has been slowly recovering and we wish to observe it with high cadence to allow us to create a detailed time-resolved series of variations in the MSPs profile, polarisation, and other properties. Under this proposal, we wish to probe the profile recovery on daily timescales (3 times per week with 2 day intervals in between), revealing additional short timescale behaviours, indicative of changes in the magnetosphere which are not available to other telescopes in the world, thanks to the Parkes UWL. This will also allow us to determine if the magnetosphere has returned to its original configuration or is settling into a new one. Understanding the recovery of this event is key for demonstrating that such pulsars are still viable clocks for use in gravitational wave studies, and in turn, provide us with new data on how the normally stable magnetosphere of this millisecond pulsar responds to an impulsive change in state.
DOI: 10.34740/kaggle/dsv/4763449
title: Egypt Gold Prices | Daily Updated