cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.vk23f
title: Data from: Prevalence of disruptive selection predicts extent of species differentiation in Lake Victoria cichlids

description: Theory suggests that speciation with gene flow is most likely when both
 sexual and ecological selection are divergent or disruptive. Divergent
 sexual and natural selection on the visual system have been demonstrated
 before in sympatric, morphologically similar, sister species of Lake
 Victoria cichlids, but this does not explain the subtle morphological
 differences between them. To investigate the significance of natural
 selection on morphology during speciation, we here ask whether the
 prevalence of disruptive ecological selection differs between sympatric
 sister species that are at different stages of speciation. Some of our
 species pairs do (Pundamilia) and others do not (Neochromis) differ
 distinctively in sexually selected male nuptial coloration. We find that
 1) evidence for disruptive selection and for evolutionary response to it,
 is prevalent in traits that are differentiated between sister species; 2)
 prevalence of both predicts the extent of genetic differentiation; 3)
 genetic differentiation is weaker in species pairs with conserved male
 nuptial coloration. Our results speak to the existence of two different
 mechanisms of speciation with gene flow: speciation mainly by sexual
 selection tightly followed by ecological character displacement in some
 cases and speciation mainly by divergent ecological selection in others.
description: Pundamilia
 MakobeMorphological and growth
 rate dataPundamilia
 PythonMorphological and growth
 rate dataPundamilia
 KissendaMorphological and growth
 rate dataPundamilia
 LuansoMorphological and growth
 rate dataNeochromis
 MakobeMorphological and growth
 rate dataNeochromis
 IgombeMorphological and growth
 rate dataNeochromis
 BihiruMorphological and growth
 rate data
DOI: 10.5061/dryad.jk7t0
title: Data from: Invariant versus classical quartet inference when evolution is heterogeneous across sites and lineages

description: One reason why classical phylogenetic reconstruction methods fail to
 correctly infer the underlying topology is because they assume
 oversimplified models. In this paper we propose a quartet reconstruction
 method consistent with the most general Markov model of nucleotide
 substitution, which can also deal with data coming from mixtures on the
 same topology. Our proposed method uses phylogenetic invariants and
 provides a system of weights that can be used as input for quartet-based
 methods. We study its performance on real data and on a wide range of
 simulated 4-taxon data (both time-homogeneous and nonhomogeneous, with or
 without among-site rate heterogeneity, and with different branch length
 settings). We compare it to the classical methods of neighbor-joining
 (with paralinear distance), maximum likelihood (with different underlying
 models), and maximum parsimony. Our results show that this method is
 accurate and robust, has a similar performance to ML when data satisfies
 the assumptions of both methods, and outperforms the other methods when
 these are based on inappropriate substitution models. If alignments are
 long enough, then it also outperforms other methods when some of its
 assumptions are violated.
description: Appendix
 1Appendix1_R_Revision_final.pdfAppendix 2Appendix2_R_Revision_final.pdfErik+2 Source CodeErik2.zip
DOI: 10.15468/dl.4kac9t
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium atramentarium"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049895-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnz5gx
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum brevicorne"
 ]
}

 The dataset includes 1232 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049896-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckr9jt
title: Occurrence Download

description: A dataset containing 29694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((14.457757540557601 48.481302514926305, 14.750085723994141 48.46915085453898, 14.768730459160956 48.665049522039446, 14.475262305486273 48.67725612049818, 14.457757540557601 48.481302514926305))"
 ]
}

 The dataset includes 29694 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025068-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt4v3z
title: Occurrence Download

description: A dataset containing 22380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.8.7.1_1",
 "Geometry POLYGON((2.46422 48.80671,2.45801 48.80485,2.45485 48.8059,2.44987 48.80302,2.44885 48.80359,2.44645 48.80034,2.4432 48.79697,2.43954 48.79588,2.44115 48.79381,2.43461 48.79225,2.43498 48.79088,2.43585 48.78731,2.4361 48.78664,2.43297 48.78603,2.43385 48.78357,2.42971 48.78234,2.42974 48.78163,2.42875 48.78144,2.42875 48.78144,2.42875 48.78059,2.42875 48.78059,2.42808 48.77716,2.42749 48.77068,2.43343 48.7711,2.43302 48.76608,2.44044 48.7706,2.44835 48.7708,2.45284 48.7679,2.45988 48.765,2.46377 48.76646,2.46652 48.76569,2.46748 48.76232,2.47262 48.76277,2.47282 48.76172,2.47716 48.76253,2.47488 48.76532,2.47544 48.76552,2.47757 48.76619,2.47746 48.7666,2.47485 48.76944,2.47371 48.77035,2.47224 48.77178,2.47164 48.77265,2.47157 48.77288,2.47207 48.77307,2.47464 48.77455,2.47374 48.77546,2.47282 48.7765,2.47496 48.77765,2.47224 48.78035,2.47245 48.78051,2.47446 48.7813,2.47585 48.78016,2.47777 48.78089,2.47708 48.78174,2.4738 48.78508,2.47194 48.78666,2.47475 48.78757,2.47352 48.78907,2.47201 48.7916,2.47201 48.79388,2.47097 48.79689,2.47018 48.79914,2.46892 48.80254,2.46762 48.80424,2.46422 48.80671))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22380 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014394-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkysjg
title: Occurrence Download

description: A dataset containing 22379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.8.7.1_1",
 "Geometry POLYGON((2.46422 48.80671,2.45801 48.80485,2.45485 48.8059,2.44987 48.80302,2.44885 48.80359,2.44645 48.80034,2.4432 48.79697,2.43954 48.79588,2.44115 48.79381,2.43461 48.79225,2.43498 48.79088,2.43585 48.78731,2.4361 48.78664,2.43297 48.78603,2.43385 48.78357,2.42971 48.78234,2.42974 48.78163,2.42875 48.78144,2.42875 48.78144,2.42875 48.78059,2.42875 48.78059,2.42808 48.77716,2.42749 48.77068,2.43343 48.7711,2.43302 48.76608,2.44044 48.7706,2.44835 48.7708,2.45284 48.7679,2.45988 48.765,2.46377 48.76646,2.46652 48.76569,2.46748 48.76232,2.47262 48.76277,2.47282 48.76172,2.47716 48.76253,2.47488 48.76532,2.47544 48.76552,2.47757 48.76619,2.47746 48.7666,2.47485 48.76944,2.47371 48.77035,2.47224 48.77178,2.47164 48.77265,2.47157 48.77288,2.47207 48.77307,2.47464 48.77455,2.47374 48.77546,2.47282 48.7765,2.47496 48.77765,2.47224 48.78035,2.47245 48.78051,2.47446 48.7813,2.47585 48.78016,2.47777 48.78089,2.47708 48.78174,2.4738 48.78508,2.47194 48.78666,2.47475 48.78757,2.47352 48.78907,2.47201 48.7916,2.47201 48.79388,2.47097 48.79689,2.47018 48.79914,2.46892 48.80254,2.46762 48.80424,2.46422 48.80671))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 22379 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014395-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upek3g
title: Occurrence Download

description: A dataset containing 39798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salsola kali L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 39798 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014396-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e83cca
title: Occurrence Download

description: A dataset containing 4646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lagidium viscacia (Molina, 1782)"
 ]
}

 The dataset includes 4646 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014397-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckuxgm
title: Occurrence Download

description: A dataset containing 22137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset includes 22137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014398-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hfzf8
title: Occurrence Download

description: A dataset listing the 1901 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.8.7.1_1",
 "Geometry POLYGON((2.46422 48.80671,2.45801 48.80485,2.45485 48.8059,2.44987 48.80302,2.44885 48.80359,2.44645 48.80034,2.4432 48.79697,2.43954 48.79588,2.44115 48.79381,2.43461 48.79225,2.43498 48.79088,2.43585 48.78731,2.4361 48.78664,2.43297 48.78603,2.43385 48.78357,2.42971 48.78234,2.42974 48.78163,2.42875 48.78144,2.42875 48.78144,2.42875 48.78059,2.42875 48.78059,2.42808 48.77716,2.42749 48.77068,2.43343 48.7711,2.43302 48.76608,2.44044 48.7706,2.44835 48.7708,2.45284 48.7679,2.45988 48.765,2.46377 48.76646,2.46652 48.76569,2.46748 48.76232,2.47262 48.76277,2.47282 48.76172,2.47716 48.76253,2.47488 48.76532,2.47544 48.76552,2.47757 48.76619,2.47746 48.7666,2.47485 48.76944,2.47371 48.77035,2.47224 48.77178,2.47164 48.77265,2.47157 48.77288,2.47207 48.77307,2.47464 48.77455,2.47374 48.77546,2.47282 48.7765,2.47496 48.77765,2.47224 48.78035,2.47245 48.78051,2.47446 48.7813,2.47585 48.78016,2.47777 48.78089,2.47708 48.78174,2.4738 48.78508,2.47194 48.78666,2.47475 48.78757,2.47352 48.78907,2.47201 48.7916,2.47201 48.79388,2.47097 48.79689,2.47018 48.79914,2.46892 48.80254,2.46762 48.80424,2.46422 48.80671))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1901 records were derived from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014392-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sddtq
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salsola paulsenii Litv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 613 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014399-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq5ryb
title: Occurrence Download

description: A dataset containing 3357341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida (Harv.) Suringar)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3357341 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15571272
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250601f Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250601f Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15571273
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250601f Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250601f Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.6084/m9.figshare.29207633
title: Next 28 Stock Prediction Sentences

description: The stock sentences, which represent the events to be predicted, are being published today—prior to the actual occurrences—along with their respective expiry dates for result disclosure. All of this will remain available here on Figshare. The selected dates were randomly assigned across stocks and time points, but with constraints designed to ensure consistency within the ideal timeframe for efficient data collection management.
DOI: 10.6084/m9.figshare.29207633.v1
title: Next 28 Stock Prediction Sentences

description: The stock sentences, which represent the events to be predicted, are being published today—prior to the actual occurrences—along with their respective expiry dates for result disclosure. All of this will remain available here on Figshare. The selected dates were randomly assigned across stocks and time points, but with constraints designed to ensure consistency within the ideal timeframe for efficient data collection management.
DOI: 10.5281/zenodo.15546624
title: Original raw data files for Elife publication "Auditory perception and neural representation of temporal features are altered by age but not by cochlear synaptopathy".

description: Original raw data files for Elife publication “Auditory perception and neural representation of temporal features are altered by age but not by cochlear synaptopathy”.

List of Excel files (first sheet explains variables, additional sheets contain the data)

Figure 1 data.xlsx shows data for synapse counts at 2 kHz

Figure 2 data.xlsx shows data for bandwidth in relation to best frequency

Statistics CAP threshold data.xlsx shows raw data for results part “Threshold sensitivity and frequency tuning were not affected by the synapse loss”

Figure 3 data.xlsx shows data for driven rates in relation to frequency shift and condition

Statistics TFS log-z-ratio data.xlsx shows raw data for results part “Neural representation of TFS was not degraded in AN fibers of old and synaptopathic gerbils”

Statistics ENV-TFS log-z-ratio data.xlsx shows raw data for results part “Representation of f0 was enhanced in AN Fibers of old gerbils”

Figure 4 data.xlsx shows data used for generating figure 4

Figure 5 data.xlsx shows data used for generating figure 5

Figure 6 data.xlsx shows raw data of behavioral sensitivity d-prime in relation to frequency shift and condition for the various treatment groups

Figure 7 data.xlsx shows raw data of behavioral threshold in relation to condition for the various treatment groups

spike_raw.xlsx shows raw data from AN recordings
DOI: 10.5281/zenodo.15546625
title: Original raw data files for Elife publication "Auditory perception and neural representation of temporal features are altered by age but not by cochlear synaptopathy".

description: Original raw data files for Elife publication “Auditory perception and neural representation of temporal features are altered by age but not by cochlear synaptopathy”.

List of Excel files (first sheet explains variables, additional sheets contain the data)

Figure 1 data.xlsx shows data for synapse counts at 2 kHz

Figure 2 data.xlsx shows data for bandwidth in relation to best frequency

Statistics CAP threshold data.xlsx shows raw data for results part “Threshold sensitivity and frequency tuning were not affected by the synapse loss”

Figure 3 data.xlsx shows data for driven rates in relation to frequency shift and condition

Statistics TFS log-z-ratio data.xlsx shows raw data for results part “Neural representation of TFS was not degraded in AN fibers of old and synaptopathic gerbils”

Statistics ENV-TFS log-z-ratio data.xlsx shows raw data for results part “Representation of f0 was enhanced in AN Fibers of old gerbils”

Figure 4 data.xlsx shows data used for generating figure 4

Figure 5 data.xlsx shows data used for generating figure 5

Figure 6 data.xlsx shows raw data of behavioral sensitivity d-prime in relation to frequency shift and condition for the various treatment groups

Figure 7 data.xlsx shows raw data of behavioral threshold in relation to condition for the various treatment groups

spike_raw.xlsx shows raw data from AN recordings
DOI: 10.15468/dl.g7c28k
title: Occurrence Download

description: A dataset containing 736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Facultad de Farmacia, Universidad Complutense, Madrid (MAF-Lich)",
 "TaxonKey is Parmelina Hale"
 ]
}

 The dataset includes 736 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014402-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbqw29
title: Occurrence Download

description: A dataset containing 238250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia pratensis L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 238250 records from 1397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014401-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18414863
title: PNC-SYN (Petri Net Conditional Synthesizer) - Evaluation Results

description: This repository contains comprehensive evaluation results for the Petri Net Conditional Synthesizer (PNC-SYN), a novel approach for generating conditional synthetic event logs by utilizing normative Petri nets as a condition.

Contents



Descriptive statistics comparing original, synthetic and conditional logs

Process mining utility measurements across multiple dimensions for the original, synthetic and conditional logs


These evaluation materials complement the PNC-SYN implementation available at https://github.com/martinkuhn94/PNC-SYN.
DOI: 10.5281/zenodo.18414864
title: PNC-SYN (Petri Net Conditional Synthesizer) - Evaluation Results

description: This repository contains comprehensive evaluation results for the Petri Net Conditional Synthesizer (PNC-SYN), a novel approach for generating conditional synthetic event logs by utilizing normative Petri nets as a condition.

Contents



Descriptive statistics comparing original, synthetic and conditional logs

Process mining utility measurements across multiple dimensions for the original, synthetic and conditional logs


These evaluation materials complement the PNC-SYN implementation available at https://github.com/martinkuhn94/PNC-SYN.
DOI: 10.17632/rpwbzkhpkn
title: Dataset of Proteomic Profiling of Streptococcus agalactiae in Malaysia

description: These proteomic data were acquired using a data-independent acquisition (DIA) approach on tryptic peptides from eight Streptococcus agalactiae isolates (three ST103 and five ST283) obtained from humans, fish, and buffaloes in Malaysia. Mass spectrometry was performed using a Waters Xevo G3 QTOF mass spectrometer (Waters, Milford, Massachusetts, USA), and data processing was carried out with Progenesis QI for Proteomics (QIP) version 4.2 (Nonlinear Dynamics, Newcastle, UK).
DOI: 10.17632/rpwbzkhpkn.1
title: Dataset of Proteomic Profiling of Streptococcus agalactiae in Malaysia

description: These proteomic data were acquired using a data-independent acquisition (DIA) approach on tryptic peptides from eight Streptococcus agalactiae isolates (three ST103 and five ST283) obtained from humans, fish, and buffaloes in Malaysia. Mass spectrometry was performed using a Waters Xevo G3 QTOF mass spectrometer (Waters, Milford, Massachusetts, USA), and data processing was carried out with Progenesis QI for Proteomics (QIP) version 4.2 (Nonlinear Dynamics, Newcastle, UK).
DOI: 10.17632/2th8jvft8f
title: Karakalpak Speech Corpus

description: The Karakalpak Speech Corpus is the first large-scale, publicly available speech-to-text dataset for the Karakalpak language, designed to support the development, evaluation, and benchmarking of automatic speech recognition (ASR) systems for this low-resource Turkic language.

Research hypothesis

The core hypothesis behind this dataset is that high-quality, carefully curated speech–text pairs, even at moderate scale, can enable state-of-the-art self-supervised models (such as Wav2Vec 2.0) to achieve strong recognition performance for low-resource languages.
By providing sufficient phonetic, lexical, and speaker diversity, the corpus aims to bridge the data gap that has historically limited Karakalpak speech technology.

What the data contains

The dataset consists of:

Speech recordings in WAV format (16 kHz, 16-bit PCM)

Manually verified transcriptions in standard Karakalpak Latin orthography

Speaker-independent splits for training, validation, and testing

Each audio file corresponds to a single utterance, making the corpus suitable for end-to-end ASR, forced alignment, pronunciation modeling, and acoustic analysis.

The recordings include:

Read speech

Conversational and narrative sentences

Phonetically rich word sequences

Numbers, commands, and daily expressions

This ensures broad coverage of Karakalpak phonology, morphology, and vocabulary.

How the data was gathered

The corpus was collected from native Karakalpak speakers under controlled recording conditions.
All recordings were made in quiet indoor environments using consumer-grade microphones and laptops at 16 kHz. Speakers were instructed to read predefined texts clearly and naturally.

All transcriptions were manually checked and normalized to remove spelling inconsistencies, Unicode artifacts, and non-Karakalpak characters.
This results in a clean and reproducible linguistic representation of spoken Karakalpak.

What the data shows

The dataset demonstrates that:

Karakalpak phonemes and special letters (á, ó, ú, ı, ń, ś, ǵ) can be reliably captured and modeled

A consistent orthography and vocabulary can be established for ASR training

Speaker-independent evaluation is feasible

When used to fine-tune Wav2Vec 2.0 models, the corpus produces low word error rates (WER) and character error rates (CER), confirming that the dataset contains sufficient acoustic and linguistic information for high-quality speech recognition.