cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2e7fd5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nesaea anagalloides (Sond.) Koehne",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052668-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tcfkv5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyclarias eurydon Jackson, 1959",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((57.0534 -10.8396,57.1988 -10.5508,57.1156 -10.1867,56.7115 -9.8521,56.2347 -9.9832,56.0941 -10.3875,56.3286 -10.8413,56.6862 -10.991,57.0534 -10.8396))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052669-250525065834625/datasets/export for details.
DOI: 10.15468/dl.emsbsr
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vicugna vicugna (Molina, 1782)",
 "Year 1000-2025"
 ]
}

 The dataset includes 202 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052670-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzbez3
title: Occurrence Download

description: A dataset containing 3231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Apus bradfieldi (Roberts, 1926)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3231 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052671-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mes6r
title: Occurrence Download

description: A dataset containing 106589071 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is one of (Germany, Belgium)"
 ]
}

 The dataset includes 106589071 records from 4463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052639-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqwnqr
title: Occurrence Download

description: A dataset containing 8910 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus ashei J.T.Buchholz"
 ]
}

 The dataset includes 8910 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001849-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27912879
title: Truly Multivariate Structured Additive Distributional Regression

description: Generalized additive models for location, scale and shape (GAMLSS) are a popular extension to mean regression models where each parameter of an arbitrary parametric distribution is modeled through covariates. While such models have been developed for univariate and bivariate responses, the truly multivariate case remains extremely challenging for both computational and theoretical reasons. Alternative approaches to GAMLSS may allow for higher-dimensional response vectors to be modeled jointly but often assume a fixed dependence structure not depending on covariates or are limited with respect to modeling flexibility or computational aspects. We contribute to this gap in the literature and propose a truly multivariate distributional model, which allows one to benefit from the flexibility of GAMLSS even when the response has dimension larger than two or three. Building on copula regression, we model the dependence structure of the response through a Gaussian copula, while the marginal distributions can vary across components. Our model is highly parameterized but estimation becomes feasible with Bayesian inference employing shrinkage priors. We demonstrate the competitiveness of our approach in a simulation study and illustrate how it complements existing approaches along the examples of childhood malnutrition and a yet unexplored dataset on traffic detection in Berlin. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27912879.v1
title: Truly Multivariate Structured Additive Distributional Regression

description: Generalized additive models for location, scale and shape (GAMLSS) are a popular extension to mean regression models where each parameter of an arbitrary parametric distribution is modeled through covariates. While such models have been developed for univariate and bivariate responses, the truly multivariate case remains extremely challenging for both computational and theoretical reasons. Alternative approaches to GAMLSS may allow for higher-dimensional response vectors to be modeled jointly but often assume a fixed dependence structure not depending on covariates or are limited with respect to modeling flexibility or computational aspects. We contribute to this gap in the literature and propose a truly multivariate distributional model, which allows one to benefit from the flexibility of GAMLSS even when the response has dimension larger than two or three. Building on copula regression, we model the dependence structure of the response through a Gaussian copula, while the marginal distributions can vary across components. Our model is highly parameterized but estimation becomes feasible with Bayesian inference employing shrinkage priors. We demonstrate the competitiveness of our approach in a simulation study and illustrate how it complements existing approaches along the examples of childhood malnutrition and a yet unexplored dataset on traffic detection in Berlin. Supplementary materials for this article are available online.
DOI: 10.15468/dl.g3y5tc
title: Occurrence Download

description: A dataset containing 76458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Leucanthemum vulgare Lam."
 ]
}

 The dataset includes 76458 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001851-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28253960
title: Mass Spectroscopy

description: Figure 6 and Supplementary Figure 8: MS/Fabry Fibroblasts intensity tableFigure 7 and Supplementary Figure 9: MS/FabryPodocytes intensity table
DOI: 10.6084/m9.figshare.28253960.v1
title: Mass Spectroscopy

description: Figure 6 and Supplementary Figure 8: MS/Fabry Fibroblasts intensity tableFigure 7 and Supplementary Figure 9: MS/FabryPodocytes intensity table
DOI: 10.6084/m9.figshare.28259420
title: Flow-cytometry

description: Figure 1: 20241003Figure 2A&B: 20240315-Fibroblasts-StxB-AV, 20240216-Fibroblasts-LecA-AVFigure 2C&D: 20240528-Fibroblasts-StxB-fixed, 20240508-Fibro-fixed-LecA<br>
DOI: 10.6084/m9.figshare.28259420.v1
title: Flow-cytometry

description: Figure 1: 20241003Figure 2A&B: 20240315-Fibroblasts-StxB-AV, 20240216-Fibroblasts-LecA-AVFigure 2C&D: 20240528-Fibroblasts-StxB-fixed, 20240508-Fibro-fixed-LecA<br>
DOI: 10.5281/zenodo.14721551
title: Data for Main Text Figures
DOI: 10.5281/zenodo.14721552
title: Data for Main Text Figures
DOI: 10.24431/rw1k9gj
title: Oceanographic influences on spotted seal foraging in the Bering and Chukchi Seas, between 2016-2020

description: Spotted seals (Phoca largha) are ice-associated seals that occur in the Pacific Arctic. Between 2016 and 2020, 23 spotted seals were equipped with satellite transmitters with conductivity, temperature, and depth sensors, which collected temperature and salinity profiles as the seals dove through the water column. This dataset includes three files: 'location', 'dive', and 'CTD'. Data within each file is collected by the transmitter, and then transmitted via the ARGOS satellite system and made available to the user. The 'location' file provides estimated seal locations and the associated time stamp. The 'dive' file provides individual dive records, including the maximum depth achieved by each dive. The 'CTD' file provides the temperature and salinity measurements that were collected at various depths for a subset of dives. Also included is five R script files, which provide code for the statistical analyses that were conducted for this project using these data files.
DOI: 10.5281/zenodo.14721391
title: Sensors and Actuators reports data (Ultra-fast detection of pathogens and protein biomarkers using a low-cost silicon plasmonic biosensing platform)
DOI: 10.5281/zenodo.14721392
title: Sensors and Actuators reports data (Ultra-fast detection of pathogens and protein biomarkers using a low-cost silicon plasmonic biosensing platform)
DOI: 10.5281/zenodo.14721569
title: Dataset for The life history and mosquito consumption dynamics of Notonecta indica (Hemiptera: Notonectidae) in eastern Jamaica

description: Data on mosquito consumption by Notonecta indica
DOI: 10.5281/zenodo.14721570
title: Dataset for The life history and mosquito consumption dynamics of Notonecta indica (Hemiptera: Notonectidae) in eastern Jamaica

description: Data on mosquito consumption by Notonecta indica
DOI: 10.15468/dl.4hn94e
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cabassous unicinctus (Linnaeus, 1758)"
 ]
}

 The dataset includes 557 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001853-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28255595
title: Protein structure and interactions elucidated with in-cell NMR for different cell cycle phases and in 3D human tissue models.

description: The source data: The protein in-cell NMR spectra representative of data presented in Figure 1-4 in standard CSV format.
DOI: 10.3886/e193506
title: 2018 TBI Model System Collaborative: Characterization and Treatment of Chronic Pain after Moderate to Severe Traumatic Brain Injury

description: This is a multi-site, cross-sectional, observational study involving a total of 18 centers. Using the infrastructure of the TBIMS, this study will add new study measures at collaborative study sites and link this information with TBIMS Form I and II variables to address the study aims. Results from this study will provide a more detailed picture of the problem of chronic pain after TBI by examining the types of pain that occur after TBI, which may be multiple types of pain for a subset of individuals, as well as the frequency of comorbid conditions. Identifying extreme phenotypes, such as demographic, individual, and treatment factors associated with those who have chronic pain but have minimal interference compared to those who are significantly impacted by pain, will allow us to identify treatment targets (behavioral, cognitive, biological, and molecular) to advance a personalized medicine approach to treatment unlike any approach in TBI and chronic pain to date. Outcomes from this study will include educational materials on chronic pain and pain treatment to benefit patients, family members, clinicians, and policymakers. Data from this study will have a direct impact on clinical practice, informing future work, and promoting understanding of constituent factors in extreme phenotypes.
DOI: 10.3886/e193506v1-164741
title: 2018 TBI Model System Collaborative: Characterization and Treatment of Chronic Pain after Moderate to Severe Traumatic Brain Injury

description: This is a multi-site, cross-sectional, observational study involving a total of 18 centers. Using the infrastructure of the TBIMS, this study will add new study measures at collaborative study sites and link this information with TBIMS Form I and II variables to address the study aims. Results from this study will provide a more detailed picture of the problem of chronic pain after TBI by examining the types of pain that occur after TBI, which may be multiple types of pain for a subset of individuals, as well as the frequency of comorbid conditions. Identifying extreme phenotypes, such as demographic, individual, and treatment factors associated with those who have chronic pain but have minimal interference compared to those who are significantly impacted by pain, will allow us to identify treatment targets (behavioral, cognitive, biological, and molecular) to advance a personalized medicine approach to treatment unlike any approach in TBI and chronic pain to date. Outcomes from this study will include educational materials on chronic pain and pain treatment to benefit patients, family members, clinicians, and policymakers. Data from this study will have a direct impact on clinical practice, informing future work, and promoting understanding of constituent factors in extreme phenotypes.
DOI: 10.6084/m9.figshare.28259381
title: <b> Is There a Simple Descriptor to Predict Laves Phases?</b>

description: This repository contains the input and output files of SISSO-DT calculations.
DOI: 10.6084/m9.figshare.28254815
title: Supplementary information

description: Supplementary Figure 1: 20240315_Fibroblasts-StxB-@Gb3-AV_Fabry Fibro_25 nM, 20240315_Fibroblasts-StxB-@Gb3-AV_Healthy Fibro_25 nMSupplementary Figure 2: 20230810_Fabry fibroblasts-@Gb3-488Supplementary Figure 3: 20230821-Fabryfibroblasts-LecA647-antiGb3-488, 20230821-Fabryfibroblasts-StxB555-antiGb3-488-3Supplementary Figure 4: 20240710-Fabryfibro-StxB 488-antiGb3 647-1008Supplementary Figure 5: 20241217-Fabryfbro-lamp1 488-647Supplementary Figure 6: 20240710-Fabryfibro-StxB 488-Lamp1 647-1004, 20240710-Healthyfibro-StxB 488-Lamp1 647-1005Supplementary Figure 7: 20240710-Healthyfibro-LecA 488-Lamp1 647 -1003, 20240724-Healthyfibro-StxB 488-Lamp1 647-1008, 20240710-Healthyfibro-antiGb3 488-Lamp1 647-1001Supplementary Figure 8: Fabry Fibroblasts intensity tableSupplementary Figure 9: Fabry Podocytes intensity table
DOI: 10.6084/m9.figshare.28254815.v1
title: Supplementary information

description: Supplementary Figure 1: 20240315_Fibroblasts-StxB-@Gb3-AV_Fabry Fibro_25 nM, 20240315_Fibroblasts-StxB-@Gb3-AV_Healthy Fibro_25 nMSupplementary Figure 2: 20230810_Fabry fibroblasts-@Gb3-488Supplementary Figure 3: 20230821-Fabryfibroblasts-LecA647-antiGb3-488, 20230821-Fabryfibroblasts-StxB555-antiGb3-488-3Supplementary Figure 4: 20240710-Fabryfibro-StxB 488-antiGb3 647-1008Supplementary Figure 5: 20241217-Fabryfbro-lamp1 488-647Supplementary Figure 6: 20240710-Fabryfibro-StxB 488-Lamp1 647-1004, 20240710-Healthyfibro-StxB 488-Lamp1 647-1005Supplementary Figure 7: 20240710-Healthyfibro-LecA 488-Lamp1 647 -1003, 20240724-Healthyfibro-StxB 488-Lamp1 647-1008, 20240710-Healthyfibro-antiGb3 488-Lamp1 647-1001Supplementary Figure 8: Fabry Fibroblasts intensity tableSupplementary Figure 9: Fabry Podocytes intensity table
DOI: 10.15468/dl.hsnmxb
title: Occurrence Download

description: A dataset containing 208356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 208356 records from 684 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001823-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15159362
title: Table 2 in Three new species of the armored catfish genus Loricaria (Siluriformes: Loricariidae) from river channels of the Amazon basin

description: Table 2. Frequency distribution of plate counts for selected Amazon basin Loricaria species.
Total lateral platesn313233343536L. cataphracta41116213L. clavipinna282224L. simillima11822262275L. spinulifera13103L. lundbergi761L. pumila1183Fused lateral platesn12131415161718L. cataphracta411619132L. clavipinna2811161L. simillima118715583251L. spinulifera13364L. lundbergi7511L. pumila111631Post-anal platesn1819202122L. cataphracta4191913L. clavipinna2821871L. simillima1181862335L. spinulifera1313L. lundbergi7151L. pumila1183Lateral abdominal platesn5678910L. cataphracta41162275L. clavipinna2856107L. simillima11721952395L. spinulifera131831L. lundbergi7151L. pumila11227
description: Published as part of Thomas, Matthew R. & Rapp Py-Daniel, Lúcia H., 2008, Three new species of the armored catfish genus Loricaria (Siluriformes: Loricariidae) from river channels of the Amazon basin, pp. 388 in Neotropical Ichthyology 6 (3) on page 388, DOI: 10.1590/S1679-62252008000300011, http://zenodo.org/record/5419800
DOI: 10.5281/zenodo.15159364
title: Table 1 in Age and growth dynamics of Tyrannosaurus rex

description: Table 1. Specimens of Tyrannosaurus rex analysed in this study. (Specimen numbers are from the MOR, with catalogue numbers of labelled thin sections; tib, tibia; fem, femur; fib, fibula; L, length of bone (mm); C, circumference of bone (mm); Tcor, total cortical thickness; Tlag, cortical thickness with LAGs preserved; Tnon, cortical thickness without LAGs preserved; MR, medullary radius (marrow cavity from which bone has been eroded) = total radius minus cortical thickness; actual LAGs, number of LAGs that could be counted in Tlag; retroc LAGs, number of LAGs retrocalculated for Tnon. Methods of calcu- lation: (i) mean; (ii) maximum; (iii) penultimate; (iv) parabolic; and (v) incremental; for explanation see § 2.)
specimensectionLCTcorTlagTnonMRactual LAGsretroc LAGscalibrated age methods of calculation and overall age estimates009 tibTI- 1 - C10704041616035410 –1114– 15 ± 1 (i), 8 – 10 (ii), 10 – 12 (iii) + 11 – 12009 tibTI- 1 - D10704042020045310 –1113 – 14 ± 1 (i), 9 – 11 (ii), 13 – 15 (iii) + 11 – 12555 tibTI- 1 a1200ca. 500262604374 – 1411 – 12 (ii), 14 (iii), 16– 18 (iv) + 14 ± 2555 tibTI- 1 b1200ca. 500272704374 – 1411 – 12 (ii), 14 (iii), 16– 18 (iv) + 14 ± 21125 femFe 1- L 2- B2 a10704333014164649 – 1115 – 17 (i)1125 femFe 1- L 2- B2 b107043322121038710 – 1517 – 18 (v), 20 –22 (ii) + 18 ± 21156 tibT 2 -1——381820—7——1156 tibT3 - 1——431132—7——1198 tibFe- 1 -B- 1——442222—103 – 4—1198 tibFe- 1 - A- 1——29290—8——1128 tibTI- 1112046426260446 – 74 – 1311 – 12 (v), 14 – 16 (ii), 18 – 20 (iii), 20 – 21 (i) + 16 ± 51128 tibTI- 2112046426260446 – 74 – 1311 – 12 (v), 14 – 16 (ii), 18 – 20 (iii), 20 – 21 (i) + 16 ± 51152 femLBF2 -1——442222—103 – 4—1152 femF 2 - 1——412615—102 – 3—1152 fibFi- 2——2211111‡ 175– 1024– 25(ii), 27 (iii), 22 (v) + 25 ± 2
description: Published as part of Horner, John R. & Padian, Kevin, 2004, Age and growth dynamics of Tyrannosaurus rex, pp. 1876 in Proceedings of the Royal Society, Series B 271 on page 1876, DOI: 10.1098/rspb.2004.2829, http://zenodo.org/record/3726770
DOI: 10.5281/zenodo.15159375
title: Table 2. Isoplectron Hutton, 1896 in Revision of the New Zealand cave wētā genus Isoplectron Hutton (Orthoptera: Rhaphidophoridae), with synonymy of Petrotettix Richards and Setascutum Richards, and the description of a new genus

description: Table 2. Isoplectron Hutton, 1896 and Praecantrix gen. nov. Summary of Bayesian model results for length of insect body and of hind tibia as a function of sex, geographical coordinates (easting, northing in New Zealand Geodetic Datum 2000 map grid) and elevation (m a.s.l.). All models run in JASP ver. 0.17.1. Species for which sample size is too small for statistics are omitted. CI stands for credible intervals; for covariates these are only reported where they are significant.
SpeciesMeasurements (mm)Sample size 1Bayesian Linear Mixed Model Fixed factor: Sex Random factor: LocationBayesian Linear Regression Factor: Sex Covariates: Easting, Northing, ElevationIsoplectron armatum armatum Hutton, 1896Body46No sexual dimorphism 95% CI: - 0.34–0.93 mmNo effect of covariatesHind tibia46+ 2.5mm in ♂ 95% CI: 1.59–3.20 mmNo effect of covariatesIsoplectron armatum aciculatum Karny, 1937Body13No sexual dimorphism 95% CI: -1.09– 0.99 mmNo effect of covariatesHind tibia13+ 3.2mm in ♂ 95% CI: 1.01–5.35 mmNo effect of covariatesIsoplectron pallidum Richards, 1972Body23No sexual dimorphism 95% CI: -1.54– 1.40 mm+ 0.13 mm per 100 m elevation 95% CI: 0.00 mm– 0.60 mm+ 0.99mm per 100 km south 95% CI: 0.00 mm– 2.96 mmHind tibia23+ 1.2 mm in ♂ 95% CI: - 0.01–2.35 mm+ 0.15 mm per 100 m elevation 95% CI: 0.00 mm– 0.60mmIsoplectron serratum Richards, 1972Body27+ 1.2 mm in ♀ 95% CI: 0.1–2.37 mmNo effect of covariatesHind tibia27+ 3.7 mm in ♂ 95% CI: 1.84–5.89 mmNo effect of covariatesIsoplectron ferratum sp. nov.Body18No sexual dimorphism 95% CI: - 1.1–2.06 mmNo effect of covariatesHind tibia18No sexual dimorphism 95% CI: - 0.27–1.23 mmNo effect of covariatesPraecantrix silvatica gen. et sp. nov.Body23+ 1.2 mm in ♀ 95% CI: 0.3–1.97 mmNo effect of covariatesHind tibia23+ 0.8 mm in ♀ 95% CI: 0.12–1.43 mmNo effect of covariatesPraecantrix saxicola gen. et sp. nov.Body10+ 2.8 mm in ♀ 95% CI: 1.56–4.09 mmSample size too smallHind tibia10+ 1.8 mm in ♀ 95% CI: 0.06–3.42 mmSample size too small
1 For the number of males and females in each sample, refer to Table 1.
description: Published as part of Hegg, Danilo, Morgan-Richards, Mary & Trewick, Steven A., 2024, Revision of the New Zealand cave wētā genus Isoplectron Hutton (Orthoptera: Rhaphidophoridae), with synonymy of Petrotettix Richards and Setascutum Richards, and the description of a new genus, pp. 21 in European Journal of Taxonomy 971 on page 21, DOI: 10.5852/ejt.2024.971.2761, http://zenodo.org/record/14451786
DOI: 10.15468/dl.p5n94n
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Gracilaria vermiculophylla (Ohmi) Papenfuss"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006438-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.