cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.36xsws
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((84.77958 56.08814,85.49154 56.08814,85.49154 56.4075,84.77958 56.4075,84.77958 56.08814))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ardea cinerea Linnaeus, 1758"
 ]
}

 The dataset includes 153 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar5bdw
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Living Specimen",
 "TaxonKey is Desmodium Desv."
 ]
}

 The dataset includes 522 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003512-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcp5mc
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((84.77958 56.08814,85.49154 56.08814,85.49154 56.4075,84.77958 56.4075,84.77958 56.08814))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia nigra (Linnaeus, 1758)"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003513-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wseefc
title: Occurrence Download

description: A dataset containing 12160578 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12160578 records from 1909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003490-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bhc49
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.957901 -36.523961, 148.957901 -36.528453, 148.960147 -36.528453, 148.960147 -36.526207, 148.964639 -36.526207, 148.964639 -36.523961, 148.957901 -36.523961))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054771-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26300707
title: <b>Fruit flies fight low dose infections by having more offspring</b>

description: Innate immune defences exhibit variable effectiveness, a phenomenon not yet fully understood. Recent research indicates that organisms may employ fundamentally different mechanisms to combat low-dose topical infections common in nature than severe infections. Here, we show that insects respond to low-dose topical infections by triggering terminal investment. Using simple methods for topical inoculations, we find that exposing fruit flies, <i>Drosophila melanogaster</i>, to low or sexually transmitted doses of the indigenous fungus <i>Aspergillus austwickii</i> boosts egg-to-adult viability, thereby maintaining lifetime reproductive output. By varying infection doses, we describe a pattern of correlations between reproductive success and mortality rate consistent with the threshold model of terminal investment. Quantitative analysis of age-dependent reproductive and mortality patterns reveals a misunderstanding of fundamental assumptions in life history theory: theories of senescence inadequately explain life history trade-offs induced by infections. Residual Reproductive Value may not necessarily be the evolutionary rationale underlying terminal investment. Our study shows that terminal investment involves an immediate trade-off between egg-to-adult viability and survival post-infection, rather than being driven by age-dependent trade-offs. The plasticity of life history traits in response to low-dose infections constrains the evolution of immunity, maintaining negative phenotypic correlations. Using the Gal4/UAS RNAi candidate gene knockdown approach, we compare the life history consequences of a canonical innate immune gene,<i> Dorsal</i>-related immunity factor. This comparison confirms that immune gene-mediated antagonistic pleiotropy drives insects to shift from reproductive to survival mechanisms of protection, depending on the mode of infection. Furthermore, we characterise a novel terminal investment mechanism encoded by <i>Turandot</i> C gene, which helps females minimise the costs of defence against the entomopathogenic fungus <i>Metarhizium robertsii</i> by shifting reproductive output post-infection. Our findings highlight the need for more research on common infections in nature to inform important non-immunological defences in a broader ecological context.<br>
DOI: 10.6084/m9.figshare.26300707.v1
title: Differential Mechanisms in Insect Immune Response: Terminal Investment in Low-Dose Infections

description: Innate immune defences exhibit variable effectiveness, a phenomenon not yet fully understood. Recent research indicates that organisms may employ fundamentally different mechanisms to combat low-dose topical infections common in nature than severe infections. Here, we show that insects respond to low-dose topical infections by triggering terminal investment. Using simple methods for topical inoculations, we find that exposing fruit flies, <i>Drosophila melanogaster</i>, to low or sexually transmitted doses of the indigenous fungus <i>Aspergillus austwickii</i> boosts egg-to-adult viability, thereby maintaining lifetime reproductive output. By varying infection doses, we describe a pattern of correlations between reproductive success and mortality rate consistent with the threshold model of terminal investment. Quantitative analysis of age-dependent reproductive and mortality patterns reveals a misunderstanding of fundamental assumptions in life history theory: theories of senescence inadequately explain life history trade-offs induced by infections. Residual Reproductive Value may not necessarily be the evolutionary rationale underlying terminal investment. Our study shows that terminal investment involves an immediate trade-off between egg-to-adult viability and survival post-infection, rather than being driven by age-dependent trade-offs. The plasticity of life history traits in response to low-dose infections constrains the evolution of immunity, maintaining negative phenotypic correlations. Using the Gal4/UAS RNAi candidate gene knockdown approach, we compare the life history consequences of a canonical innate immune gene,<i> Dorsal</i>-related immunity factor. This comparison confirms that immune gene-mediated antagonistic pleiotropy drives insects to shift from reproductive to survival mechanisms of protection, depending on the mode of infection. Furthermore, we characterise a novel terminal investment mechanism encoded by <i>Turandot</i> C gene, which helps females minimise the costs of defence against the entomopathogenic fungus <i>Metarhizium robertsii</i> by shifting reproductive output post-infection. Our findings highlight the need for more research on common infections in nature to inform important non-immunological defences in a broader ecological context.<br>
DOI: 10.6084/m9.figshare.26300707.v2
title: <b>Fruit flies fight low dose infections by having more offspring</b>

description: Innate immune defences exhibit variable effectiveness, a phenomenon not yet fully understood. Recent research indicates that organisms may employ fundamentally different mechanisms to combat low-dose topical infections common in nature than severe infections. Here, we show that insects respond to low-dose topical infections by triggering terminal investment. Using simple methods for topical inoculations, we find that exposing fruit flies, <i>Drosophila melanogaster</i>, to low or sexually transmitted doses of the indigenous fungus <i>Aspergillus austwickii</i> boosts egg-to-adult viability, thereby maintaining lifetime reproductive output. By varying infection doses, we describe a pattern of correlations between reproductive success and mortality rate consistent with the threshold model of terminal investment. Quantitative analysis of age-dependent reproductive and mortality patterns reveals a misunderstanding of fundamental assumptions in life history theory: theories of senescence inadequately explain life history trade-offs induced by infections. Residual Reproductive Value may not necessarily be the evolutionary rationale underlying terminal investment. Our study shows that terminal investment involves an immediate trade-off between egg-to-adult viability and survival post-infection, rather than being driven by age-dependent trade-offs. The plasticity of life history traits in response to low-dose infections constrains the evolution of immunity, maintaining negative phenotypic correlations. Using the Gal4/UAS RNAi candidate gene knockdown approach, we compare the life history consequences of a canonical innate immune gene,<i> Dorsal</i>-related immunity factor. This comparison confirms that immune gene-mediated antagonistic pleiotropy drives insects to shift from reproductive to survival mechanisms of protection, depending on the mode of infection. Furthermore, we characterise a novel terminal investment mechanism encoded by <i>Turandot</i> C gene, which helps females minimise the costs of defence against the entomopathogenic fungus <i>Metarhizium robertsii</i> by shifting reproductive output post-infection. Our findings highlight the need for more research on common infections in nature to inform important non-immunological defences in a broader ecological context.<br>
DOI: 10.6073/pasta/5b9ae9f2068f7a1a4820ee1d2c99af7b
title: Baseline Water Quality Monitoring to support restoration efforts in the Cache Slough Complex, 2013-2021.

description: The Cache Slough Complex is an ecologically significant area, with many restoration efforts of various kinds set to take place within its boundaries. These efforts which are tied to regulations set forth by the Biological Opinion, will have unknown impacts to in‐stream water quality. For this reason, the Department of Water Resources’ Water Quality Assessment (WQA) unit developed a monitoring program to establish baseline water quality measurements to help understand the environmental impact of these restoration projects and ensure pre‐restoration water quality data is available to compare against post-restoration water quality. To do so, data was collected at various sites that represent all major inputs and outflows within the Cache Slough Complex from September 2013 to December 2021.
DOI: 10.5281/zenodo.13259643
title: Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data for the European continent

description: This dataset contains BIOCLIM variables (plus huss, sfcwind, rsds) which have been prepared and calculated from the original ISIMIP3b bias-adjusted climate forcing data from 5 GCM models (obtained on 2023-08-07). For more information on the original data and its properties, please see the ISIMIP3b modelling protocol and here specifically the climate forcing section https://protocol.isimip.org/#/ISIMIP3b/31-forcing-data and Frieler et al. (2024).

The original climate forcing data (global extent, daily temporal grain) were cropped to the European extent and spatial-temporally aggregated. Here 10 year (decadal) steps were chosen as target climatology.For each time slot (e.g. 10 years) and scenario (historical or ssps) the following 22 variables were calculated:

bioclim01 = Annual Mean Temperaturebioclim02 = Mean Diurnal Range (Mean of monthly (max temp - min temp))bioclim03 = Isothermality (BIO2/BIO7) (×100)bioclim04 = Temperature Seasonality (standard deviation ×100)bioclim05 = Max Temperature of Warmest Monthbioclim06 = Min Temperature of Coldest Monthbioclim07 = Temperature Annual Range (BIO5-BIO6)bioclim08 = Mean Temperature of Wettest Quarterbioclim09 = Mean Temperature of Driest Quarterbioclim10 = Mean Temperature of Warmest Quarterbioclim11 = Mean Temperature of Coldest Quarterbioclim12 = Annual Precipitationbioclim13 = Precipitation of Wettest Monthbioclim14 = Precipitation of Driest Monthbioclim15 = Precipitation Seasonality (Coefficient of Variation)bioclim16 = Precipitation of Wettest Quarterbioclim17 = Precipitation of Driest Quarterbioclim18 = Precipitation of Warmest Quarterbioclim19 = Precipitation of Coldest Quarterhuss = Average (arithmetric mean) specific humidityrsds = Average (arithmetric mean) Surface downwelling shortwave radiationsfcwind = Average near-surface wind speed (arithmetric mean)---Data properties:




Shared Socioeconomic Pathways (SSP)
SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5


General circulation models (GCMs)
GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL


Spatial grain
0.5 degree (~50km²)


Geographic projection
WGS 84


Temporal grain
10 year steps


Spatial extent
Continental Europe including Turkey (see screenshot)


Temporal extent
1850 to 2010 (Historical), 2010 - 2100 (Future)


Number of variables
22




All files are provided in netCDF (nc) format. The preprocessed datasets are provided as it and the author takes no responsibility for errors or misuse.
DOI: 10.5281/zenodo.13259644
title: Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data for the European continent

description: This dataset contains BIOCLIM variables (plus huss, sfcwind, rsds) which have been prepared and calculated from the original ISIMIP3b bias-adjusted climate forcing data from 5 GCM models (obtained on 2023-08-07). For more information on the original data and its properties, please see the ISIMIP3b modelling protocol and here specifically the climate forcing section https://protocol.isimip.org/#/ISIMIP3b/31-forcing-data and Frieler et al. (2024).

The original climate forcing data (global extent, daily temporal grain) were cropped to the European extent and spatial-temporally aggregated. Here 10 year (decadal) steps were chosen as target climatology.For each time slot (e.g. 10 years) and scenario (historical or ssps) the following 22 variables were calculated:

bioclim01 = Annual Mean Temperaturebioclim02 = Mean Diurnal Range (Mean of monthly (max temp - min temp))bioclim03 = Isothermality (BIO2/BIO7) (×100)bioclim04 = Temperature Seasonality (standard deviation ×100)bioclim05 = Max Temperature of Warmest Monthbioclim06 = Min Temperature of Coldest Monthbioclim07 = Temperature Annual Range (BIO5-BIO6)bioclim08 = Mean Temperature of Wettest Quarterbioclim09 = Mean Temperature of Driest Quarterbioclim10 = Mean Temperature of Warmest Quarterbioclim11 = Mean Temperature of Coldest Quarterbioclim12 = Annual Precipitationbioclim13 = Precipitation of Wettest Monthbioclim14 = Precipitation of Driest Monthbioclim15 = Precipitation Seasonality (Coefficient of Variation)bioclim16 = Precipitation of Wettest Quarterbioclim17 = Precipitation of Driest Quarterbioclim18 = Precipitation of Warmest Quarterbioclim19 = Precipitation of Coldest Quarterhuss = Average (arithmetric mean) specific humidityrsds = Average (arithmetric mean) Surface downwelling shortwave radiationsfcwind = Average near-surface wind speed (arithmetric mean)---Data properties:




Shared Socioeconomic Pathways (SSP)
SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5


General circulation models (GCMs)
GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL


Spatial grain
0.5 degree (~50km²)


Geographic projection
WGS 84


Temporal grain
10 year steps


Spatial extent
Continental Europe including Turkey (see screenshot)


Temporal extent
1850 to 2010 (Historical), 2010 - 2100 (Future)


Number of variables
22




All files are provided in netCDF (nc) format. The preprocessed datasets are provided as it and the author takes no responsibility for errors or misuse.
DOI: 10.5281/zenodo.13259853
title: Input table for QCxMS prediction tutorial

description: Input table for QCxMS prediction tutorial available on Galaxy Training Network.
DOI: 10.15468/dl.5fv4fu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.948918 -36.526207, 148.948918 -36.528453, 148.955655 -36.528453, 148.955655 -36.526207, 148.948918 -36.526207))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054772-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5a6k77
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Stenorrhina degenhardtii (Berthold, 1846)"
 ]
}

 The dataset includes 1079 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054773-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfgtrk
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is USA.42.38_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054774-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcnbv6
title: Occurrence Download

description: A dataset containing 5052 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Photographs of higher plants, mosses, fungi, lichens, and algae"
 ]
}

 The dataset includes 5052 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054775-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3ua9h
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.669044 -36.517224, 143.669044 -36.521715, 143.666799 -36.521715, 143.666799 -36.530698, 143.669044 -36.530698, 143.669044 -36.523961, 143.673536 -36.523961, 143.673536 -36.526207, 143.675782 -36.526207, 143.675782 -36.530698, 143.680273 -36.530698, 143.680273 -36.532944, 143.689257 -36.532944, 143.689257 -36.526207, 143.682519 -36.526207, 143.682519 -36.523961, 143.680273 -36.523961, 143.680273 -36.521715, 143.673536 -36.521715, 143.673536 -36.517224, 143.669044 -36.517224))"
 ]
}

 The dataset includes 542 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054776-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srfgpu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.48791 -31.904353, 149.48791 -31.906598, 149.492401 -31.906598, 149.492401 -31.904353, 149.48791 -31.904353))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054777-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zqmec4
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((143.704977 -36.523961, 143.704977 -36.526207, 143.711715 -36.526207, 143.711715 -36.523961, 143.704977 -36.523961)), ((143.711715 -36.526207, 143.711715 -36.530698, 143.718452 -36.530698, 143.718452 -36.526207, 143.711715 -36.526207)))"
 ]
}

 The dataset includes 276 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054778-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrhzty
title: Occurrence Download

description: A dataset containing 137019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-90.43894 18.93237,-89.01099 18.93237,-89.01099 20.52703,-90.43894 20.52703,-90.43894 18.93237))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 137019 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054761-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kuag4
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wyulda squamicaudata Alexander, 1918"
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054780-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7kaba
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.512613 -31.899861, 149.512613 -31.906598, 149.508122 -31.906598, 149.508122 -31.908844, 149.512613 -31.908844, 149.512613 -31.913336, 149.519351 -31.913336, 149.519351 -31.908844, 149.523842 -31.908844, 149.523842 -31.906598, 149.519351 -31.906598, 149.519351 -31.902107, 149.517105 -31.902107, 149.517105 -31.899861, 149.512613 -31.899861)), ((149.519351 -31.913336, 149.519351 -31.915582, 149.523842 -31.915582, 149.523842 -31.913336, 149.519351 -31.913336)), ((149.519351 -31.915582, 149.517105 -31.915582, 149.517105 -31.917827, 149.519351 -31.917827, 149.519351 -31.915582)), ((149.523842 -31.906598, 149.53058 -31.906598, 149.53058 -31.902107, 149.523842 -31.902107, 149.523842 -31.906598)), ((149.519351 -31.902107, 149.523842 -31.902107, 149.523842 -31.899861, 149.519351 -31.899861, 149.519351 -31.902107)), ((149.53058 -31.902107, 149.532826 -31.902107, 149.532826 -31.899861, 149.53058 -31.899861, 149.53058 -31.902107)))"
 ]
}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054781-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vkbb9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.820907 -36.521715, 148.820907 -36.523961, 148.825399 -36.523961, 148.825399 -36.521715, 148.820907 -36.521715)), ((148.825399 -36.523961, 148.825399 -36.526207, 148.827645 -36.526207, 148.827645 -36.523961, 148.825399 -36.523961)), ((148.825399 -36.526207, 148.820907 -36.526207, 148.820907 -36.530698, 148.825399 -36.530698, 148.825399 -36.526207)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054782-240626123714530/datasets/export for details.