cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e58vym
title: Occurrence Download

description: A dataset containing 2484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis anchoita",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 2484 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004249-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0000000ds
title: Genomic data for Tracing SARS-CoV-2 clusters across local scales: Greater Houston, January–October 2021

description: A quantitative understanding of local transmission dynamics is essential
 for designing effective prevention strategies. In this study, we developed
 a novel algorithm to identify introductions and trace locally circulating
 clusters. We analyzed over 26,000 SARS-CoV-2 genomes and their associated
 metadata, collected between January and October 2021, to explore
 introduction and dispersal patterns in Greater Houston, a major
 metropolitan area known for its demographic diversity. Our analysis
 identified more than 1,000 independent introduction events, resulting in
 clusters of varying sizes. The majority of introductions originated from
 domestic sources, while international introductions occurred earlier and
 were associated with larger cluster sizes. An analysis of locally
 circulating clusters revealed age-structured transmission dynamics.
 Geographic reconstruction of cluster spread identified Harris County as
 the primary viral source for surrounding counties. Harris County sustained
 the local epidemic with fewer external introductions and longer
 persistence times of circulating lineages. Overall, our high-resolution
 spatiotemporal reconstruction of the epidemic provides essential insights
 into the local-scale transmission landscape, supporting outbreak-specific,
 regional response strategies and public health planning.
description: This dataset includes genomic data and associated demographic
 metadata used to trace SARS-CoV-2 clusters in Greater Houston from January
 to October 2021. It provides GISAID accession IDs and demographic
 metadata, which are available in XML files formatted for BEAST
 analyses.
description: # Genomic Data for Tracing SARS-CoV-2 Clusters Across Local Scales:
 Greater Houston, January–October 2021
 [https://doi.org/10.5061/dryad.0000000ds](https://doi.org/10.5061/dryad.0000000ds) ## Description of the data and file structure Here, we provide GISAID accession IDs and demographic metadata, which are available in XML files formatted for BEAST analyses. ### Files and variables #### File: texasAndContexual.tsv **Description:** It provides GISAID accession IDs used in this study. Our dataset comprises 26,138 complete SARS-CoV-2 genomes, including 9,186 sampled from Houston and 16,952 contextual sequences from around the world. ##### Variables * IDs #### File: age.xml **Description:** The XML file for BEAST runs contain the associated age group for the sampled patients in Houston. #### File: GLMcounty.xml **Description:** The XML file for BEAST runs contain the associated sampling location (county) for the sampled patients in Houston. #### File: sex.xml **Description:** The XML file for BEAST runs contain the associated sex for the sampled patients in Houston.
DOI: 10.15468/dl.j6xvza
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Didelphis marsupialis",
 "Year 2018-2026"
 ]
}

 The dataset includes 885 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004252-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22q2cz
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinorhynchus gadi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 395 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004251-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.8sf7m0d0m
title: Data and code from: Tracing the evolution of key traits in dorid nudibranchs

description: Reconstructing trait evolution is critically important for elucidating the
 processes generating biodiversity. However, this work is in its infancy in
 non-model clades for which we lack a basic understanding of their ecology
 and biology. Here, we compile information about prey preference, chemical
 acquisition, and colour pattern in dorid nudibranchs (Nudibranchia:
 Doridoidei) and reconstruct their ancestral states using a multi-gene
 phylogeny to investigate the evolution of these key traits. Our analyses
 show that the most recent common ancestor (MRCA) of Doridoidei preferred
 sponge prey from which they sequestered metabolites, and subsequent shifts
 to different prey types and de novo synthesis of defensive compounds
 occurred multiple times independently across the phylogeny. Additionally,
 the MRCA likely exhibited complex colour patterns, including spots or
 stripes, with uniform morphotypes evolving in all families except
 Chromodorididae. Despite the fact that many dorid nudibranchs derive both
 metabolites and pigments from their prey, we found no evidence of
 correlated evolution amongst these traits. As part of this work, we
 present a multi-gene phylogeny for Doridoidei with representatives from 88
 genera and 18 families, but there remain issues with poor support across
 the tree. Nonetheless, for the first time, we explore the evolution of key
 traits that contributed to the diversification of dorid nudibranchs,
 highlighting the need for more refined trait data and greater phylogenetic
 resolution for future work.
description: # Data and code from: Tracing the evolution of key traits in dorid
 nudibranchs
 [https://doi.org/10.5061/dryad.8sf7m0d0m](https://doi.org/10.5061/dryad.8sf7m0d0m) ## Description of the data and file structure ### Files and variables #### File: Dorid_IQtree.treefile **Description:** The final maximum-likelihood tree file produced by IQtree with 1000 bootstrap replicates. This was also used as input for ancestral state reconstruction in R. #### File: Dorid_alignment.fasta **Description:** The sequence alignment used for phylogenetic analysis. #### File: Dorid_R_input.csv **Description:** The trait data used for ancestral state reconstruction in R. The first column 'Prey' corresponds to prey preference, the second column 'Chem' corresponds to chemical acquisition (sequestration or synthesis) and the third column 'Colour' corresponds to colour pattern (e.g. uniform, mottled). Multistate characters are represented with '&' (e.g. if taxa in a genus possess both uniform and mottled colour patterns) and unknown trait states are marked with '?'. #### File: corHMM_code.R **Description:** The R script used for ancestral state reconstruction with corHMM in R.
DOI: 10.5061/dryad.pc866t20z
title: Sliding window constrained fault-tolerant filtering of compressor vibration data

description: This paper presents a sliding window constrained fault-tolerant filtering
 method for sampling data in petrochemical instrumentation. The method
 requires the design of an appropriate sliding window width based on the
 time series, as well as the expansion of both ends of the series. By
 utilizing a sliding window constraint function, the method produces a
 smoothed estimate for the current moment within the window. As the window
 advances, a series of smoothed estimates of the original sampled data is
 generated. Subsequently, the original series is subtracted from this
 smoothed estimate to create a new series that represents the differences
 between the two. This difference series is then subjected to an additional
 smoothing estimation process, and the resulting smoothed estimates are
 employed to compensate for the smoothed estimates of original sampled
 series. The experimental results indicate that, compared with sliding mean
 filtering, sliding median filtering, and Savitzky-Golay filtering, the
 method proposed in this paper can more effectively filter out random
 errors and reduce the impact of outliers when dealing with sampling data
 contaminated by noise and outliers. It possesses strong fault tolerance
 and the ability to extract the true variations of the sampling data.
description: # Sliding window constrained fault-tolerant filtering of compressor
 vibration data
 [https://doi.org/10.5061/dryad.pc866t20z](https://doi.org/10.5061/dryad.pc866t20z) ## Description of the data and file structure Data type Files containing ‘fdata1case1’ in the file represents the case "1" of the location of the outlier in the measured data "1", and so on; Files containing ‘fwavedata’ in the file name are wave signals with outliers; Files containing ‘fwave2data’ in the file name are polynomial signals with outliers; Files containing ‘normaldata’ in the file name are normal measured data; Files containing ‘normalwavedata’ in the file name are normal wave signals; Files containing ‘normalwave2data’ in the file name are normal polynomial signals; Files containing ‘ftffiltered’ in the file name indicate that the data have been processed by sliding-window constrained error-tolerant filtering; Files containing ‘sgfiltered’ in the file name indicate data after Savitzky-Golay filtering; Files containing ‘smfiltered’ in the file name represent data after sliding mean filtering; Files containing ‘smfiltered’ in the file name indicate that the data have been processed by sliding median filtering.
DOI: 10.5281/zenodo.18404244
title: The pos-1 3ʹ untranslated region governs germline specification and proliferation to ensure reproductive robustness.

description: Data and further information in support of Varderesian, HV, Utaegbulam, JN, Brown, HE, Ramirez, B, Velcani, M, Ryder, SP., The pos-1 3ʹ untranslated region governs germline specification and proliferation to ensure reproductive robustness. [PREPRINT] Biorxiv. 2025 Nov 28. https://doi.org/10.1101/2025.11.26.690476. https://www.biorxiv.org/content/10.1101/2025.11.26.690476v1
DOI: 10.5281/zenodo.18404245
title: The pos-1 3ʹ untranslated region governs germline specification and proliferation to ensure reproductive robustness.

description: Data and further information in support of Varderesian, HV, Utaegbulam, JN, Brown, HE, Ramirez, B, Velcani, M, Ryder, SP., The pos-1 3ʹ untranslated region governs germline specification and proliferation to ensure reproductive robustness. [PREPRINT] Biorxiv. 2025 Nov 28. https://doi.org/10.1101/2025.11.26.690476. https://www.biorxiv.org/content/10.1101/2025.11.26.690476v1
DOI: 10.15468/dl.dz5qk5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinorhynchus trachyrinci",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004254-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.80gb5mm11
title: Experimental and synthetic datasets supporting FITSA: Statistical analysis of fluorescence intensity transients with Bayesian methods

description: This dataset supports our study "Statistical Analysis of Fluorescence
 Intensity Transients with Bayesian Methods," which introduces
 Fluorescence Intensity Trace Statistical Analysis (FITSA), a Bayesian
 approach for direct analysis of fluorescence intensity traces. From these
 traces, FITSA estimates diffusion coefficient and molecular brightness.
 The repository contains all fluorescence intensity traces used in our
 comparative analysis of FITSA and fluorescence correlation spectroscopy
 (FCS). A README file describes the data structure. We provide both
 synthetic and experimental datasets that demonstrate various applications
 of FITSA. When combined with our separately published code, these datasets
 enable reproduction of our analysis and support further methodological
 development in the field. Based on our analysis of these traces, we
 demonstrate that FITSA achieves precision comparable to FCS while
 requiring substantially fewer photons and shorter measurement times.
description: # Experimental and synthetic datasets supporting FITSA: Statistical
 analysis of fluorescence intensity transients with Bayesian methods This
 repository contains the complete set of traces used in the study:
 "Statistical Analysis of Fluorescence Intensity Transients with
 Bayesian Methods" Authors: Hamed Karimi, Martin Laasmaa, Margus
 Pihlak, Marko Vendelin ### Repository Structure The datasets are organized
 in subfolders corresponding to the figures in the study. Since some
 datasets were used across multiple figures, all relevant figure numbers
 are included in the subfolder names. ### Synthetic Datasets Multiple
 synthetic datasets were generated with varying molecular brightness
 levels, as shown in Figure 5 and associated Supporting Materials figures.
 These datasets are stored in dedicated subfolders, with the molecular
 brightness indicated in the subfolder name. For example: * `mu_mol-50k`
 represents data with a molecular brightness of 50,000 1/s ### Additional
 Experimental Data The folder `additional-experimental-data` contains
 datasets used to estimate triplet state contributions in experiments with
 dye in water. These datasets were analyzed in conjunction with the
 following datasets from Figure 7 under identical conditions: *
 `fig7/0.1nM/2024.06.18_Dex-0.1nM_water_power-700_r2.h5` *
 `fig7/1nM/2024.06.18_Dex-1nM_water_power-700_r2.h5` ### Reference
 Information * For detailed data format specifications, please refer to
 `DataFormat.md` in the FITSA implementation source code: * Repository:
 [https://gitlab.com/iocbio/fitsa](https://gitlab.com/iocbio/fitsa) *
 Archive DOI:
 [10.5281/zenodo.14742211](https://doi.org/10.5281/zenodo.14742211) *
 Information about the generated synthetic traces can be found in **Table
 S2** of the study * For guidance on analyzing traces using FITSA, consult
 **Table S3** of the study
DOI: 10.48530/isoarch.2023.005
title: Compilation of carbon, nitrogen, oxygen, sulphur and strontium stable isotope data from the Mesolithic to the Late Modern period in the Black Sea area

description: To gain a comprehensive understanding of the dietary habits and mobility patterns of past populations in the Black Sea region, a collation of relevant articles featuring stable isotope analysis results, along with associated archaeological and anthropological data, has been conducted. This compilation brings together information from sixty-nine sites located in modern Turkiye, Armenia, Georgia, Azerbaijan, the Black Sea coastal area of Russia, Ukraine, Serbia, Romania, and Bulgaria, covering a vast temporal range of nearly 12,000 years, from the Mesolithic to the Late Modern Period.
DOI: 10.48530/isoarch.2023.005.v1
title: Compilation of carbon, nitrogen, oxygen, sulphur and strontium stable isotope data from the Mesolithic to the Late Modern period in the Black Sea area

description: To gain a comprehensive understanding of the dietary habits and mobility patterns of past populations in the Black Sea region, a collation of relevant articles featuring stable isotope analysis results, along with associated archaeological and anthropological data, has been conducted. This compilation brings together information from sixty-nine sites located in modern Turkiye, Armenia, Georgia, Azerbaijan, the Black Sea coastal area of Russia, Ukraine, Serbia, Romania, and Bulgaria, covering a vast temporal range of nearly 12,000 years, from the Mesolithic to the Late Modern Period.
DOI: 10.15468/dl.6wrhb2
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glycaspis brimblecombei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 131 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004255-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0p2ngf2bg
title: Nucleotide alignment and phylogenetic tree illustrating tick-derived Mycoplasma cynos

description: Mycoplasma cynos is a significant bacterial pathogen within the Canine
 Infectious Respiratory Disease Complex (CIRD), causing substantial
 morbidity worldwide in pet and kennel dog populations. While its role as
 both a primary and secondary pathogen in respiratory disease is
 established, the epidemiology and potential for vector-borne transmission
 of M. cynos remains understudied. Here we describe an identified
 association of M. cynos with a lone star tick, Amblyomma americanum L.,
 collected in New Jersey, USA using a next-generation metabarcoding
 approach. Sequence identity and phylogenetic analysis confirmed its
 provenance as a canine-derived M. cynos strain, and to our knowledge
 represents the first identification of this pathogen in ticks. These
 findings suggest a potential tick-mediated epidemiological link between
 canine hosts and the environment, underlining the need for further studies
 on tick-borne transmission dynamics and their role in the broader ecology
 of canine and wildlife respiratory pathogens.
description: # Nucleotide alignment and phylogenetic tree illustrating tick-derived
 Mycoplasma cynos Dataset DOI:
 [10.5061/dryad.0p2ngf2bg](10.5061/dryad.0p2ngf2bg) ## Description of the
 data and file structure Nucleotide sequence alignment (.fasta) and
 phylogenetic tree associated with Moustafa et al. 2025 J. Med Ent
 "Molecular detection of a canine respiratory pathogen, *Mycoplasma
 cynos*, in the lone star tick *Amblyomma americanum* (Acari:
 Ixodidae)".  The consensus 16S PCR amplicon identified in our study
 as *M. cynos* (424 bp in length; DDBJ accession LC860823) was queried via
 BLASTn analysis against the NCBI ‘nt’ nucleotide database (e-val = 1 x
 10^-5) to confirm species identity. A taxonomically broad set of 866 top
 hits from 743 bacterial isolates (inclusive of multiple 16S loci from the
 same isolate) derived from various Mycoplasmataceae were retrieved and
 aligned using MAFFT-linsi for phylogenetic analysis. The resulting
 alignment was manually inspected and trimmed at the 5’ and 3’ ends to span
 the full length of our query (424 bp) for comparative analysis. A maximum
 likelihood (ML) phylogenetic tree was constructed from the alignment using
 the aligned 16S rRNA sequences in IQTREE v2.0 under automatic model
 selection (the GTR+F+I+G4 was selected based on the lowest Bayesian
 Information Criterion score). Branch support values were assessed with
 2,000 rapid bootstrap approximations. ### Files and variables #### File:
 M\_cynos\_LST\_012925.tre **Description:** Phylogenetic tree derived using
 IQTREE (text) #### File: M\_cynos\_LST\_012925.aln
 **Description:** Nucleotide sequence alignment produced by MAFFT-linsi
 (.fasta)
DOI: 10.5281/zenodo.17682730
title: Modelo de Solución para Accesos a Servicios IP en Banda Ancha para Zonas en Desarrollo a través de Terceros
title: Tesis de Grado Master en Ciencias

description: Esta tesis propone un modelo de solución tecnológica para ampliar el acceso a servicios IP y banda ancha en zonas en desarrollo mediante la intervención de terceros operadores. Se analizan aspectos técnicos, regulatorios y económicos del despliegue de infraestructura digital, considerando escenarios con recursos limitados y alta demanda de conectividad. Se presenta un modelo estructurado que optimiza la disponibilidad del servicio y permite la integración sostenible de redes de última milla. El trabajo aporta lineamientos aplicables a políticas públicas, proyectos regionales y modelos de expansión de telecomunicaciones en zonas rurales y periurbanas.

Proyecto Región Digital Segura.Iniciativa de innovación, ciudadanía digital y desarrollo regional.Web oficial: https://juanmauricio1.wixsite.com/region-digitalsegura
DOI: 10.5281/zenodo.17682729
title: Modelo de Solución para Accesos a Servicios IP en Banda Ancha para Zonas en Desarrollo a través de Terceros
title: Tesis de Grado Master en Ciencias

description: Esta tesis propone un modelo de solución tecnológica para ampliar el acceso a servicios IP y banda ancha en zonas en desarrollo mediante la intervención de terceros operadores. Se analizan aspectos técnicos, regulatorios y económicos del despliegue de infraestructura digital, considerando escenarios con recursos limitados y alta demanda de conectividad. Se presenta un modelo estructurado que optimiza la disponibilidad del servicio y permite la integración sostenible de redes de última milla. El trabajo aporta lineamientos aplicables a políticas públicas, proyectos regionales y modelos de expansión de telecomunicaciones en zonas rurales y periurbanas.

Proyecto Región Digital Segura.Iniciativa de innovación, ciudadanía digital y desarrollo regional.Web oficial: https://juanmauricio1.wixsite.com/region-digitalsegura
DOI: 10.15468/dl.pjwsgj
title: Occurrence Download

description: A dataset containing 89234 records in GBIF matching the query:
SELECT
 '507' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 51.21395264452012
 AND decimalLatitude &lt;= 56.135291543055025
 AND decimalLongitude &gt;= 0.0
 AND decimalLongitude &lt;= 7.195510188352444
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 89234 records were derived from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004248-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60521/332597
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM302) acquired during E/V Nautilus expedition NA164 (2024)

description: This data set was acquired with a Kongsberg EM302 Multibeam Sonar during E/V Nautilus expedition NA164 conducted in 2024. These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Ocean Exploration Trust and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).