cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14176931
title: Rigid fiber transport in a periodic non-homogeneous geophysical turbulent flow

description: From anthropogenic litter carried by ocean currents to plant stems traveling through the atmosphere, geophysical flows are often seeded with elongated, fiber-like particles. In this study, we used a large-scale laboratory model of a tidal current -- representative of a widespread class of geophysical flows -- to investigate the tumbling motion of long, slender, and floating fibers in the complex turbulence generated by flow interactions with a tidal inlet. Despite the non-stationary, non-homogeneous, and anisotropic nature of this turbulence, we find that long fibers statistically rotate at the same frequency as eddies of similar size, a phenomenon called \textit{scale selection}, which is known to occur in ideal turbulence. Furthermore, we report that the signal of the instantaneous transverse velocity difference between the fiber ends differs significantly from the signal produced by the flow in the fiber surroundings, although the two are statistically equivalent. These observations have twofold implications. On the one hand, they confirm the reliability of using the end-to-end velocity signal of rigid fibers to probe the two-point transverse statistics of the flow, even under realistic conditions: oceanographers could exploit this observation to measure transverse velocity differences through elongated floats in the field, where superdiffusion complicates collecting sufficient data to probe two-point turbulence statistics at a fixed separation effectively. On the other hand, by addressing the dynamics of inertial range particles floating in the coastal zone, these observations are crucial to improving our ability to predict the fate of meso- and macro-litter, a size class currently understudied.
DOI: 10.5281/zenodo.14176932
title: Rigid fiber transport in a periodic non-homogeneous geophysical turbulent flow

description: From anthropogenic litter carried by ocean currents to plant stems traveling through the atmosphere, geophysical flows are often seeded with elongated, fiber-like particles. In this study, we used a large-scale laboratory model of a tidal current -- representative of a widespread class of geophysical flows -- to investigate the tumbling motion of long, slender, and floating fibers in the complex turbulence generated by flow interactions with a tidal inlet. Despite the non-stationary, non-homogeneous, and anisotropic nature of this turbulence, we find that long fibers statistically rotate at the same frequency as eddies of similar size, a phenomenon called \textit{scale selection}, which is known to occur in ideal turbulence. Furthermore, we report that the signal of the instantaneous transverse velocity difference between the fiber ends differs significantly from the signal produced by the flow in the fiber surroundings, although the two are statistically equivalent. These observations have twofold implications. On the one hand, they confirm the reliability of using the end-to-end velocity signal of rigid fibers to probe the two-point transverse statistics of the flow, even under realistic conditions: oceanographers could exploit this observation to measure transverse velocity differences through elongated floats in the field, where superdiffusion complicates collecting sufficient data to probe two-point turbulence statistics at a fixed separation effectively. On the other hand, by addressing the dynamics of inertial range particles floating in the coastal zone, these observations are crucial to improving our ability to predict the fate of meso- and macro-litter, a size class currently understudied.
DOI: 10.15468/dl.f75frz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.132 1.513182, 100.061713 1.507614, 99.993157 1.491048, 99.928022 1.46389, 99.867912 1.426811, 99.814308 1.380723, 99.768528 1.326763, 99.731701 1.266259, 99.704733 1.200701, 99.68828600000001 1.131704, 99.682766 1.060967, 99.68830699999999 0.990232, 99.70477099999999 0.921239, 99.731754 0.855689, 99.76859 0.795193, 99.814373 0.741243, 99.867974 0.695166, 99.92807500000001 0.658095, 99.993196 0.630945, 100.061733 0.614383, 100.132 0.608816, 100.202267 0.614383, 100.270804 0.630945, 100.335925 0.658095, 100.396026 0.695166, 100.449627 0.741243, 100.49541 0.795193, 100.532246 0.855689, 100.559229 0.921239, 100.575693 0.990232, 100.581234 1.060967, 100.575714 1.131704, 100.559267 1.200701, 100.532299 1.266259, 100.495472 1.326763, 100.449692 1.380723, 100.396088 1.426811, 100.335978 1.46389, 100.270843 1.491048, 100.202287 1.507614, 100.132 1.513182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002202-260120142942310/datasets/export for details.
DOI: 10.15468/dl.72uukz
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World)",
 "TaxonKey is Vulpes vulpes"
 ]
}

 The dataset includes 438 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002203-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10209635
title: Unravelling the non homogeneous dispersion processes in coastal circulations using a clustering approach

description: Ocean and coastal circulations develop in complex domains, especially along the shorelines, and they are driven by forces with typical spatial and temporal distributions. The resulting flow is turbulent in character and inherits the inhomogeneities from the generating forces. When we come to study how these chaotic circulations transport mass, we must expect that the associated dispersion is equally turbulent and high variable in time and space. Observations of particle paths taught us how the trajectories could be complicated, often showing looping behaviours generated by different mechanisms (macro-vortices or periodicity in the flow). Despite this complexity, many available studies on ocean and coastal dispersion relies on considering the process as homogeneous (no variations in space) and applying different spatial and temporal averages, trying to grasp the overall picture of the dispersion.We propose a new approach that combines the fundamentals of the dispersion theories, i.e., autocorrelation functions, with an automated algorithm for clustering. We show that this approach is able to retain the highly inhomogeneous character of the ocean dispersion, at the same time, showing the physical link between the circulations and its ability to transport mass. A new mathematical model is also proposed to describe the different autocorrelations functions.
DOI: 10.5281/zenodo.10209634
title: Unravelling the non homogeneous dispersion processes in coastal circulations using a clustering approach

description: Ocean and coastal circulations develop in complex domains, especially along the shorelines, and they are driven by forces with typical spatial and temporal distributions. The resulting flow is turbulent in character and inherits the inhomogeneities from the generating forces. When we come to study how these chaotic circulations transport mass, we must expect that the associated dispersion is equally turbulent and high variable in time and space. Observations of particle paths taught us how the trajectories could be complicated, often showing looping behaviours generated by different mechanisms (macro-vortices or periodicity in the flow). Despite this complexity, many available studies on ocean and coastal dispersion relies on considering the process as homogeneous (no variations in space) and applying different spatial and temporal averages, trying to grasp the overall picture of the dispersion.We propose a new approach that combines the fundamentals of the dispersion theories, i.e., autocorrelation functions, with an automated algorithm for clustering. We show that this approach is able to retain the highly inhomogeneous character of the ocean dispersion, at the same time, showing the physical link between the circulations and its ability to transport mass. A new mathematical model is also proposed to describe the different autocorrelations functions.
DOI: 10.15468/dl.cvbx5m
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.396 5.823142, 100.325376 5.817571, 100.256494 5.800996, 100.191056 5.773826, 100.130674 5.736732, 100.076837 5.690628, 100.030871 5.636652, 99.993908 5.576135, 99.96685600000001 5.510568, 99.950377 5.441568, 99.944875 5.370833, 99.95048 5.300107, 99.967051 5.23113, 99.99417699999999 5.165599, 100.031188 5.105128, 100.077169 5.051202, 100.13099 5.005149, 100.191325 4.9681, 100.25669 4.940966, 100.325478 4.924415, 100.396 4.918852, 100.466522 4.924415, 100.53531 4.940966, 100.600675 4.9681, 100.66101 5.005149, 100.714831 5.051202, 100.760812 5.105128, 100.797823 5.165599, 100.824949 5.23113, 100.84152 5.300107, 100.847125 5.370833, 100.841623 5.441568, 100.825144 5.510568, 100.798092 5.576135, 100.761129 5.636652, 100.715163 5.690628, 100.661326 5.736732, 100.600944 5.773826, 100.535506 5.800996, 100.466624 5.817571, 100.396 5.823142))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 404 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002204-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztgr9x
title: Occurrence Download

description: A dataset containing 2168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "TaxonKey is Annonaceae"
 ]
}

 The dataset includes 2168 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002205-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p74y5
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carex dispalata",
 "Year 1960-2010"
 ]
}

 The dataset includes 40 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002207-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17803229
title: Assembled metagenomic contigs from Resistome and microbiome-immune interactions in an Eastern European population with high antibiotic use

description: Data for  Resistome and microbiome-immune interactions in an Eastern European population with high antibiotic use.

Supplementary Tables 1-10 are described in the paper.

Metagenomics contigs were assembled with Spades and are corresponding to the ARG genes reported in the study.

More information is available in the Methods section of the paper.
DOI: 10.5281/zenodo.18314282
title: Assembled metagenomic contigs from Resistome and microbiome-immune interactions in an Eastern European population with high antibiotic use

description: Data for  Resistome and microbiome-immune interactions in an Eastern European population with high antibiotic use.

Supplementary Tables 1-10 are described in the paper.

Metagenomics contigs were assembled with Spades and are corresponding to the ARG genes reported in the study.

More information is available in the Methods section of the paper.
DOI: 10.15468/dl.whq4vs
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Squaliolus laticaudus"
 ]
}

 The dataset includes 126 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002211-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.894vtt
title: Occurrence Download

description: A dataset containing 14912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picea glauca)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 14912 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002212-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d372qx
title: Occurrence Download

description: A dataset containing 37498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Rutaceae"
 ]
}

 The dataset includes 37498 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002209-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18324790
title: Dissolved Organic Matter Fluorescence and Absorbance in the Lower Columbia River

description: Dataset containing ultraviolet-visible absorbance and fluorescence spectra of dissolved organic matter in the lower Columbia River.

The dataset serves as an example in the drEEM toolbox version 2.

The zip file contains a folder of measured data and an Excel spreadsheet with metadata.

Absorbance and fluorescence was measured on a Horiba AquaLog. Samples were filtered with a 0.7micrometer GF/F filter and stored in acid-washed and muffled amber glass vials.
DOI: 10.5281/zenodo.18324791
title: Dissolved Organic Matter Fluorescence and Absorbance in the Lower Columbia River

description: Dataset containing ultraviolet-visible absorbance and fluorescence spectra of dissolved organic matter in the lower Columbia River.

The dataset serves as an example in the drEEM toolbox version 2.

The zip file contains a folder of measured data and an Excel spreadsheet with metadata.

Absorbance and fluorescence was measured on a Horiba AquaLog. Samples were filtered with a 0.7micrometer GF/F filter and stored in acid-washed and muffled amber glass vials.
DOI: 10.34740/kaggle/dsv/14568778
title: Iris Dataset
DOI: 10.15468/dl.vy7v75
title: Occurrence Download

description: A dataset listing the 232 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mozambique Endemic and Near-Endemic Red Listed Plant Species"
 ]
}

 The dataset's 232 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002206-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuyu57
title: Occurrence Download

description: A dataset containing 52696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (MHA Herbarium: collections of vascular plants, TULGU Herbarium: Tula Oblast collections of vascular plants, TUL Herbarium: Tula Oblast collections of vascular plants, IRKU Herbarium: collections of vascular plants, MAG Herbarium: collections of vascular plants, KUZ Herbarium: collections of vascular plants, KULPOL Herbarium: Tula Oblast collections of vascular plants, TKM Herbarium: Tula Oblast collections of vascular plants, Moscow University Herbarium (MW), KRSU Herbarium: collections of vascular plants, SMR Herbarium: collections of vascular plants, KHA Herbarium: collections of vascular plants)",
 "IsInCluster is true"
 ]
}

 The dataset includes 52696 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002210-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaexy5
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Geometry POLYGON((77.28647 7.50685,78.29867 7.23692,79.85975 9.82022,81.05204 11.74318,82.06643 15.99467,77.20398 12.05126,74.26323 13.15155,72.92063 13.74172,77.28647 7.50685))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dysoxylum malabaricum"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002213-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgkvyj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.834 1.514182, 99.763713 1.508614, 99.69515699999999 1.492048, 99.630022 1.46489, 99.569912 1.427811, 99.516307 1.381723, 99.470528 1.327763, 99.433701 1.267259, 99.406733 1.201701, 99.390286 1.132704, 99.384766 1.061967, 99.390306 0.991232, 99.40677100000001 0.922239, 99.43375399999999 0.856689, 99.47059 0.796193, 99.516373 0.742243, 99.569974 0.696166, 99.63007500000001 0.659095, 99.695196 0.631945, 99.763733 0.615383, 99.834 0.609816, 99.904267 0.615383, 99.972804 0.631945, 100.037925 0.659095, 100.098026 0.696166, 100.151627 0.742243, 100.19741 0.796193, 100.234246 0.856689, 100.261229 0.922239, 100.277694 0.991232, 100.283234 1.061967, 100.277714 1.132704, 100.261267 1.201701, 100.234299 1.267259, 100.197472 1.327763, 100.151693 1.381723, 100.098088 1.427811, 100.037978 1.46489, 99.972843 1.492048, 99.904287 1.508614, 99.834 1.514182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002215-260120142942310/datasets/export for details.
DOI: 10.15468/dl.xd68qy
title: Occurrence Download

description: A dataset containing 2743624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laridae",
 "Country is France",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2743624 records from 3353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002114-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze8jz7
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Achilidae"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011868-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15097647
title: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere"

description: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere" submitted to Geophysical Research Letters for publication. Files include (i) altitude profiles of Fe+ densities and related quantities for each of the nine MAVEN Deep Dips and (ii) various two-dimensional distributions of mean Fe+ densities as a function of, e.g., altitude, local time, solar zenith angle, latitude, and season.
DOI: 10.5281/zenodo.15097646
title: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere"

description: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere" submitted to Geophysical Research Letters for publication. Files include (i) altitude profiles of Fe+ densities and related quantities for each of the nine MAVEN Deep Dips and (ii) various two-dimensional distributions of mean Fe+ densities as a function of, e.g., altitude, local time, solar zenith angle, latitude, and season.
DOI: 10.5281/zenodo.15556497
title: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere"

description: Dataset for "MAVEN Observations of Metallic Fe+ Distributions in the Martian Ionosphere" submitted to Geophysical Research Letters for publication. Files include (i) altitude profiles of Fe+ densities and related quantities for each of the nine MAVEN Deep Dips and (ii) various two-dimensional distributions of mean Fe+ densities as a function of, e.g., altitude, local time, solar zenith angle, latitude, and season.
DOI: 10.15468/dl.4dtdty
title: Occurrence Download

description: A dataset containing 76597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is DIGITALE - Observations flore et habitat centralisées par le CBN de Bailleul-Données d'occurrence taxon (Plantes vasculaires, Bryophytes et Algues) de la région des Hauts-de-France mises au format standard OccTax v3.1 par le CBN de Bailleul en mai 2023 (Données issues de Digitale2 : digitale.cbnbl.org)",
 "Geometry POLYGON((1.603328 49.448044, 2.997872 49.448044, 2.997872 50.346356, 1.603328 50.346356, 1.603328 49.448044))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 76597 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029687-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.