cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.21432
title: Proiel-Treebank: 20150725 Release

description: The PROIEL Treebank is a dependency treebank with morphosyntactic and information-structure annotation. It includes texts in several ancient Indo-European languages and is freely available under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
description: This release alters the placement of PRO tokens which are now positioned adjacent to their heads in the token sequence. The release also contains numerous minor corrections.
DOI: 10.5281/zenodo.32839
title: Proiel-Treebank: 20151028 Release

description: This release contains numerous corrections, in particular to the morphology. It also corrects a mistake in the previous release, which failed to alter the placement of PRO tokens in the <em>Peregrinatio Aetheriae</em> (see release 20150615).
DOI: 10.5281/zenodo.33483
title: Proiel-Treebank: 20151109 Release

description: This is a bug-fix release. It corrects non-contiguous token numbering in CoNLL-X exports, as well as potentially problematic representation of whitespace in forms and lemmas in these files. It also corrects a number of instances of incorrect tokenization, where whitespace has ended up at the beginning or end of token forms.
DOI: 10.5281/zenodo.44935
title: Proiel-Treebank: 20160118 Release

description: This release adds the remaining parts of Sphrantzes' <em>Chronicles</em> along with a few annotation corrections to other texts.
DOI: 10.5281/zenodo.55071
title: Proiel-Treebank: 20160607 Release

description: This release updates the whole collection to PROIEL XML 2.1 and adds alignments to the New Testament texts in the collection.

It also adds some sentences missing from previous releases of Sphrantzes' <em>Chronicles</em> and Cicero's <em>Letters to Atticus</em>, corrects minor inconsistencies in the Latin and Greek lemmatisation and a few errors in <em>Codex Marianus</em>.
DOI: 10.35077/add-bit
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848565246

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 848565246', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'848565246', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'848565246', 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-bog
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848610436

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 848610436', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'848610436', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'848610436', 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-boo
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 848636884

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 848636884', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'848636884', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'848636884', 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-box
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855354446

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 855354446', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855354446', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855354446', 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.881971
title: Polet500/Archive: Polet500 Archive 17/09

description: The digital archive of PoLet500 - Polemiche Letterarie del Cinquecento. Version: 17/09
DOI: 10.5281/zenodo.882998
title: Polet500/Archive: Polet500 - Archive 17/09

description: The digital archive of PoLet500 - Polemiche Letterarie del Cinquecento. version: 17/09
DOI: 10.5281/zenodo.32944
title: Algorithmic Single-Locus Species Delimitation: Effects Of Sampling Effort, Variation And Non-Monophyly In Four Methods And 1870 Species Of Beetles

description: The vast number of undescribed species and the fast rate of biodiversity loss call for new approaches to speed up alpha taxonomy. A plethora of methods for delimiting species or Operational Taxonomic Units (OTUs) based on sequence data have been published in recent years. We test the ability of four delimitation methods (BIN, ABGD, GMYC, PTP) to reproduce established species boundaries on a carefully curated DNA barcode dataset of 1870 North European beetle species. We also explore how sampling effort, variation within species, nearest neighbor divergence and non-monophyly affect the OTU delimitations. All methods produced approximately 90% identity between species and OTUs. Effects of variation and sampling differed between methods. ABGD was found to be sensitive to singleton sequences, while GMYC showed tendencies for oversplitting. The best fit between species and OTUs was achieved by using simple rules to find consensus between discordant OTU delimitations. Using several different approaches simultaneously allows the methods to compensate for each other’s weaknesses. Barcode-based OTU-picking is an efficient way to delimit putative species from large datasets where the use of more sophisticated methods based on multi-locus or genomic data is not feasible.
description: This release is made available for evaluation and review purposes. It differs from release v1.0 only in the naming of certain files, whose contents are otherwise identical.
DOI: 10.5281/zenodo.13752
title: Gender And Defamation In York 1660-1700: Version 1.5, January 2015

description: Corrections and Enhancements to the Causes data


	cleaned up errors in the data
	additional data fields incl gender of plaintiffs and defendants
	cross-referencing for related causes
	added semantic tags to the causes


Other


	added the original (1999) transcriptions to the repository
	added basic documentation of the data
	added CC-BY-SA license
DOI: 10.35077/add-bud
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855460302

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 855460302', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855460302', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855460302', 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: 10.6084/m9.figshare.22696102
title: Stable Isotope Raw Data

description: Raw stable isotope data used for SIBER analyses in Fuirst et al. 2023
DOI: 10.6084/m9.figshare.22696102.v1
title: Stable Isotope Raw Data

description: Raw stable isotope data used for SIBER analyses in Fuirst et al. 2023
DOI: 10.35077/add-bug
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855488261

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 855488261', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855488261', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855488261', 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.597625
title: dhlab-epfl/LinkedBooksReferenceParsing: 1.1

description: A dataset of annotated references (in both reference lists and footnotes) from journal issues and monographs on the history of Venice, created in the context of the LinkedBooks project (http://dhlab.epfl.ch/page-127959-en.html). The dataset contains annotated reference lists of monographs and annotated references from the footnotes of journal issues from the following journals (mostly, but not exclusively in Italian): Ateneo Veneto, Archvio Veneto, Studi Veneziani. This dataset was digitized, OCRed (using ABBYY FineReader) and annotated (using Brat ADD) from 2014 to 2016. Along the dataset of annotations, a framework to train your own parsers is provided, based on Conditional Random Fields. Feel free to use it to build your own parser, and if you improve on our results, please let us know!
DOI: 10.5281/zenodo.10791
title: Ore 2014 Reasoner Competition Dataset

description: The ORE 2014 Reasoner Competition Dataset is a set of ontologies, curated for DL Reasoner benchmarking. All files are serialised as OWL Functional syntax.
DOI: 10.5281/zenodo.11133
title: Ore 2014 Live Competition Queries

description: The queries of the ORE 2014 Live Competition (http://vsl2014.at/meetings/ORE-competition.html). The competition framework can be found at GitHub (https://github.com/andreas-steigmiller/ore-2014-competition-framework) and the ontologies and reasoners are also available at Zenodo (https://zenodo.org/record/10791 and https://zenodo.org/record/11145, respectively).
DOI: 10.5281/zenodo.11142
title: Ore 2014 Live Competition Results

description: The results and logs of the ORE 2014 Live Competition (http://vsl2014.at/meetings/ORE-competition.html). The results can be reproduced with the competition framework, which can be found at GitHub (https://github.com/andreas-steigmiller/ore-2014-competition-framework). Furthermore, the ontologies, the reasoners, and the queries are required, which are all available at Zenodo (https://zenodo.org/record/10791, https://zenodo.org/record/11145, and https://zenodo.org/record/11133, respectively).
DOI: 10.5281/zenodo.12352
title: Mouse Olfactory Bulb Intrinsic Signal Imaging For Nnmf Decomposition

description: This dataset supplements our recent paper about automatic image segmentation using Non-negative Matrix Factorisation (NMF):

Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker (2014). Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization. <em>NeuroImage</em> 98:279-288.

http://dx.doi.org/10.1016/j.neuroimage.2014.04.041
description: {"references": ["Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker (2014). Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization. NeuroImage  98:279-288. http://dx.doi.org/10.1016/j.neuroimage.2014.04.041 ."]}
DOI: 10.35077/add-bun
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855540802

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 855540802', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855540802', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855540802', 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: 10.35077/add-bus
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855760595

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 855760595', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855760595', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855760595', 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: 10.35077/add-cab
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 855783147

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 855783147', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'855783147', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'855783147', 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: 10.35077/add-can
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 868145983

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 868145983', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'868145983', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'868145983', 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: 10.15468/dl.cb898h
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium exile Hook.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322379-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jinwdo
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Observation"
 ]
 },
 "TaxonKey is Pterodon emarginatus Vogel"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001767-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-54664
title: Redemption tidings, vol. 35, nos. 1-46, 2 Jan. - 25 Dec. 1959

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.e7w9cz
title: Occurrence Download

description: A dataset containing 18827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myiarchus panamensis Lawrence, 1860"
 ]
}

 The dataset includes 18827 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0379166-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7xjrx
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostylis longicurva Rupp"
 ]
}

 The dataset includes 136 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097848-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.