cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sq2drm
title: Occurrence Download

description: A dataset containing 4622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium arcticum Lange",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4622 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067062-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/pxurnr
title: Opredelitel Sosudistykh Rasteniy Orlovskoy Oblasti, 2nd edition (Elenevsky & Radygina, 2005): accepted names

description: A list of the tracheophyte names accepted in the second edition of "Opredelitel Sosudistykh Rasteniy Orlovskoy Oblasti" [= Guide to Vascular Plants of Oryol Oblast] (Elenevsky & Radygina, 2005). The dataset was compiled as a first step towards further processing of the modern checklist for Oryol Oblast, Russia.
Stable archival version (not edited, not curated).
The dataset includes 1,185 accepted names of species, subspecies and varieties. Old records from the notes and from the additional list (pp. 195-197) are included. Cultivated plants unknown as escapes are excluded.
Several minor orthographic errors in either scientific names or their authors were corrected manually. Some names were not automatically cross-linked with the GBIF backbone.
DOI: 10.15468/dl.dv46wm
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Thuretia quercifolia Decaisne)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 43 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019348-240906103802322/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.27024721
title: <i>Litoditis marina</i> microbes

description: Nematodes are the most abundant metazoans in marine sediments, many of which are bacterivores, however how habitat bacteria affect physiological outcomes in marine nematodes remains largely unknown. Here, we used a <i>Litoditis marina</i> inbred line to assess how native bacteria modulate host nematode physiology. We characterized seasonal dynamic bacterial compositions in <i>L. marina</i> habitats, and examined the impacts of 448 habitat bacteria isolates on <i>L. marina</i> development, then focused on HQbiome with 73 native bacteria, of which we generated 72 whole genomes sequences. Unexpectedly, we found that the effects of marine native bacteria on the development of <i>L. marina</i> and its terrestrial relative<i>Caenorhabditis</i><i> </i><i>elegans</i> were significantly positively correlated. Next, we reconstructed bacterial metabolic networks and identifiedseveral bacterial metabolic pathways positively correlated with <i>L. marina</i> development (e.g., ubiquinol and heme <i>b</i> biosynthesis), while pyridoxal 5’-phosphate biosynthesis pathway was negatively associated. Through single metabolite supplementation, we verified CoQ<sub>10</sub>, heme <i>b</i>, acetyl-CoA, and acetaldehyde promoted <i>L. marina</i> development, while vitamin B6 attenuated growth. Notably, we found that only four development correlated metabolic pathways were shared between <i>L. marina</i> and <i>C. elegans</i>.Furthermore, we identified two bacterial metabolic pathways correlated with <i>L. marina</i> lifespan, while a distinct one in <i>C. elegans</i>. Strikingly, we found that glycerol supplementation significantly extended <i>L. marina</i> but not <i>C. elegans</i> longevity. Moreover, we comparatively demonstrated the distinct gut microbiota characteristics and their effects on <i>L. marina</i> and <i>C</i><i>.</i><i> </i><i>elegans</i><i> </i>physiology. Given that both bacteria and marine nematodes are dominant taxa in sedimentary ecosystems, the resource presented here will provide novel insights to identify mechanisms underpinning how habitat bacteria affect nematode biology in a more natural context. Our integrative approach will provide a microbe–nematodes framework for microbiome mediated effects on host animal fitness.
DOI: 10.6084/m9.figshare.27024721.v3
title: <i>Litoditis marina</i> microbes

description: Nematodes are the most abundant metazoans in marine sediments, many of which are bacterivores, however how habitat bacteria affect physiological outcomes in marine nematodes remains largely unknown. Here, we used a <i>Litoditis marina</i> inbred line to assess how native bacteria modulate host nematode physiology. We characterized seasonal dynamic bacterial compositions in <i>L. marina</i> habitats, and examined the impacts of 448 habitat bacteria isolates on <i>L. marina</i> development, then focused on HQbiome with 73 native bacteria, of which we generated 72 whole genomes sequences. Unexpectedly, we found that the effects of marine native bacteria on the development of <i>L. marina</i> and its terrestrial relative<i>Caenorhabditis</i><i> </i><i>elegans</i> were significantly positively correlated. Next, we reconstructed bacterial metabolic networks and identifiedseveral bacterial metabolic pathways positively correlated with <i>L. marina</i> development (e.g., ubiquinol and heme <i>b</i> biosynthesis), while pyridoxal 5’-phosphate biosynthesis pathway was negatively associated. Through single metabolite supplementation, we verified CoQ<sub>10</sub>, heme <i>b</i>, acetyl-CoA, and acetaldehyde promoted <i>L. marina</i> development, while vitamin B6 attenuated growth. Notably, we found that only four development correlated metabolic pathways were shared between <i>L. marina</i> and <i>C. elegans</i>.Furthermore, we identified two bacterial metabolic pathways correlated with <i>L. marina</i> lifespan, while a distinct one in <i>C. elegans</i>. Strikingly, we found that glycerol supplementation significantly extended <i>L. marina</i> but not <i>C. elegans</i> longevity. Moreover, we comparatively demonstrated the distinct gut microbiota characteristics and their effects on <i>L. marina</i> and <i>C</i><i>.</i><i> </i><i>elegans</i><i> </i>physiology. Given that both bacteria and marine nematodes are dominant taxa in sedimentary ecosystems, the resource presented here will provide novel insights to identify mechanisms underpinning how habitat bacteria affect nematode biology in a more natural context. Our integrative approach will provide a microbe–nematodes framework for microbiome mediated effects on host animal fitness.
DOI: 10.15468/dl.hdxq4r
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Plocamium preissianum Sonder)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 113 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019349-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13769103
title: Slope Units delineation for Marche region in Italy

description: To use this dataset, please cite the article; Ahmed, M., Titti, G., Trevisani, S., Borgatti, L., Francioni, M.: Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction. Submitted to Geoscientific Model Development. 2024. 

 

Using three metrics to assess the segmentation of the terrain into Slope Units (SUs), we choose the partition which has been calculated with the following parameters in r.slopunits software (Alvioli et. al., 2016): flow accumulation threshold of 1,000,000 square meters, clean size of 20,000 square meters with the cleaning method (flag -m), minimum area of 300,000 square meters with circular variance of 0.1. The metrics incorporated the landslide extension, landslide number and the aspect homogenity of each segmentation. This has been done using TINITALY resampled to 30m for the Marche region of Italy.
DOI: 10.5281/zenodo.13769104
title: Slope Units delineation for Marche region in Italy

description: To use this dataset, please cite the article; Ahmed, M., Titti, G., Trevisani, S., Borgatti, L., Francioni, M.: Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction. Submitted to Geoscientific Model Development. 2024. 

 

Using three metrics to assess the segmentation of the terrain into Slope Units (SUs), we choose the partition which has been calculated with the following parameters in r.slopunits software (Alvioli et. al., 2016): flow accumulation threshold of 1,000,000 square meters, clean size of 20,000 square meters with the cleaning method (flag -m), minimum area of 300,000 square meters with circular variance of 0.1. The metrics incorporated the landslide extension, landslide number and the aspect homogenity of each segmentation. This has been done using TINITALY resampled to 30m for the Marche region of Italy.
DOI: 10.15468/dl.wq57a4
title: Occurrence Download

description: A dataset containing 11907075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Databank of Vascular Plants"
 ]
}

 The dataset includes 11907075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019328-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9rsxw
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Metamastophora flabellata (Sonder) Setchell)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 246 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019353-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgya3s
title: Occurrence Download

description: A dataset containing 99107277 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 99107277 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019323-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swqzm7
title: Occurrence Download

description: A dataset containing 34171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Abundance, diversity and distribution of Legionellales in wet environments in Sweden",
 "Country is Sweden"
 ]
}

 The dataset includes 34171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019352-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2tzj2
title: Occurrence Download

description: A dataset containing 917752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Erithacus rubecula (Linnaeus, 1758)",
 "Year 1992-2005"
 ]
}

 The dataset includes 917752 records from 565 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019337-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hq24cr
title: Occurrence Download

description: A dataset containing 186996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.95644 44.2665,15.83592 40.64825,12.35579 42.14603,11.04361 43.81538,9.21797 45.11818,6.59361 44.18473,6.2513 43.02809,4.59682 38.93881,8.30515 35.76509,10.92951 34.50542,14.809 32.93961,19.60131 34.45839,21.42695 38.53831,20.17183 40.25754,20.28593 42.06137,16.74875 43.69175,15.43657 45.39929,13.78208 46.31314,11.27182 45.79846,11.95644 44.2665))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 186996 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019332-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c29n5
title: Occurrence Download

description: A dataset containing 41462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "Country is Sweden"
 ]
}

 The dataset includes 41462 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019351-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5twqgp
title: Occurrence Download

description: A dataset containing 64674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Island Project - Fungal communities in boreal forest soils",
 "Country is Sweden"
 ]
}

 The dataset includes 64674 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019350-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwhbwm
title: Occurrence Download

description: A dataset containing 31854 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Habitats Directive Portuguese Report: Species 2013-2018"
 ]
}

 The dataset includes 31854 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019354-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzwuwx
title: Occurrence Download

description: A dataset containing 96313502 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 96313502 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019324-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cacux
title: Occurrence Download

description: A dataset containing 4694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Jania rosea (Lam.) Decne.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4694 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019355-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/7jpz-8f4t
title: Precipitation_amount_off at Sniezka

description: Measurement of Precipitation_amount_off at Sniezka
DOI: 10.48597/guft-7r52
title: Precipitation_amount_off at Jarczew

description: Measurement of Precipitation_amount_off at Jarczew
DOI: 10.48597/qcrk-m9cm
title: Precipitation_amount_off at Leba

description: Measurement of Precipitation_amount_off at Leba
DOI: 10.48597/7r66-ejc4
title: Measurement of Precipitation_amount_off at Sniezka

description: Measurement of Precipitation_amount_off at Sniezka
DOI: 10.48597/g4bq-5q7a
title: Measurement of Precipitation_amount_off at Leba

description: Measurement of Precipitation_amount_off at Leba
DOI: 10.48597/rdqg-3bvk
title: Measurement of Precipitation_amount_off at Jarczew

description: Measurement of Precipitation_amount_off at Jarczew
DOI: 10.48597/e9ba-qj5g
title: Measurement of Inorganics in precipitation at Sniezka

description: Measurement of Inorganics in precipitation at Sniezka
DOI: 10.48597/8a4v-bkn5
title: Measurement of Inorganics in precipitation at Leba

description: Measurement of Inorganics in precipitation at Leba
DOI: 10.48597/x42f-zud5
title: Measurement of Inorganics in precipitation at Jarczew

description: Measurement of Inorganics in precipitation at Jarczew
DOI: 10.15468/dl.9rb8hy
title: Occurrence Download

description: A dataset containing 36511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Vascular Plant Herbarium: Herbarium Generale",
 "Country is Sweden"
 ]
}

 The dataset includes 36511 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019356-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h22w68
title: Occurrence Download

description: A dataset containing 1229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Amphiroa anceps (Lam.) Decne.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1229 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019358-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evq774
title: Occurrence Download

description: A dataset containing 50137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is naturgucker",
 "Country is Sweden"
 ]
}

 The dataset includes 50137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019357-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqsp32
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Dictyopteris acrostichoides (J & Ag.) May)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019359-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.25498999
title: Virtual Electrical Impedance Spectroscopy Signal of Thyroid and Parathyroid Tissue from a Global Sensitivity Analysis

description: This dataset comprises the global sensitivity results that relate to the paper: The Use of Virtual Tissue Constructs that Include Morphological Variability to Assess the Potential of Electrical Impedance Spectroscopy to Differentiate Between Thyroid and Parathyroid Tissues during Surgery.
Abstract: Electrical impedance spectroscopy (EIS) has been proposed as a promising noninvasive method to differentiate healthy thyroid from parathyroid tissues during thyroidectomy. However, previously reported similarities in the in vivo measured spectra of these tissues during a pilot study suggest that this separation may not be straightforward. We utilise computational modelling as a method to elucidate the distinguishing characteristics in the EIS signal and explore the features of the tissue that contribute to the observed electrical behaviour. Firstly, multiscale finite element models (or ‘virtual tissue constructs’) of thyroid and parathyroid tissues were developed and verified against in vivo tissue measurements. A global sensitivity analysis was performed to investigate the impact of physiological micro-, meso- and macroscale tissue morphological features of both tissue types on the computed macroscale EIS spectra and explore the separability of the two tissue types. Our results suggest that the presence of a surface fascia layer could obstruct tissue differentiation, but an analysis of the separability of simulated spectra without the surface fascia layer suggests that differentiation of the two tissue types should be possible if this layer is completely removed by the surgeon. Comprehensive in vivo measurements are required to fully determine the potential for EIS as a method in distinguishing between thyroid and parathyroid tissues impedance spectroscopy.
DOI: 10.15131/shef.data.25498999.v1
title: Virtual Electrical Impedance Spectroscopy Signal of Thyroid and Parathyroid Tissue from a Global Sensitivity Analysis

description: This dataset comprises the global sensitivity results that relate to the paper: The Use of Virtual Tissue Constructs that Include Morphological Variability to Assess the Potential of Electrical Impedance Spectroscopy to Differentiate Between Thyroid and Parathyroid Tissues during Surgery.
Abstract: Electrical impedance spectroscopy (EIS) has been proposed as a promising noninvasive method to differentiate healthy thyroid from parathyroid tissues during thyroidectomy. However, previously reported similarities in the in vivo measured spectra of these tissues during a pilot study suggest that this separation may not be straightforward. We utilise computational modelling as a method to elucidate the distinguishing characteristics in the EIS signal and explore the features of the tissue that contribute to the observed electrical behaviour. Firstly, multiscale finite element models (or ‘virtual tissue constructs’) of thyroid and parathyroid tissues were developed and verified against in vivo tissue measurements. A global sensitivity analysis was performed to investigate the impact of physiological micro-, meso- and macroscale tissue morphological features of both tissue types on the computed macroscale EIS spectra and explore the separability of the two tissue types. Our results suggest that the presence of a surface fascia layer could obstruct tissue differentiation, but an analysis of the separability of simulated spectra without the surface fascia layer suggests that differentiation of the two tissue types should be possible if this layer is completely removed by the surgeon. Comprehensive in vivo measurements are required to fully determine the potential for EIS as a method in distinguishing between thyroid and parathyroid tissues impedance spectroscopy.
DOI: 10.15131/shef.data.23717859.v2
title: Charge superradiance on charged BTZ black holes

description: Data for the figures in the paper "Charge superradiance on charged BTZ black holes", arXiv:2301.01169 [hep-th]