cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.0hqwmp
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frullania bolanderi Austin"
 ]
}

 The dataset includes 1434 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049695-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yxcgy
title: Occurrence Download

description: A dataset containing 18622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Momordica L."
 ]
}

 The dataset includes 18622 records from 454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021591-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymmcl0
title: Occurrence Download

description: A dataset containing 12980 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Suivi des oiseaux de passage : programme FLASH - Programme FLASH : Répartition Merle noir 2012 - 2016 Coordonnées GPS Lambert 93"
 ]
}

 The dataset includes 12980 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025678-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgvgqk
title: Occurrence Download

description: A dataset containing 775 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Alouette des champs 1996 - 2000 Coordonnées GPS Lambert 93"
 ]
}

 The dataset includes 775 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025687-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bhyna
title: Occurrence Download

description: A dataset containing 20594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydalis cava (L.) Schweigg. & Körte",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20594 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042807-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq7aa8
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaenocephalus aceratus (Lönnberg, 1906)"
 ]
}

 The dataset's 3 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264213-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gp87z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.81189 -37.48457,129.18811 -37.48457,129.18811 -26.51543,101.81189 -26.51543,101.81189 -37.48457))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Websdanea K.Vánky, 1997"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0425000-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11034475
title: List of differential expressed genes for the different conditions
DOI: 10.5281/zenodo.11034476
title: List of differential expressed genes for the different conditions
DOI: 10.15468/dl.nav7s5
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron noriakianum Suzuki"
 ]
}

 The dataset includes 207 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076194-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz8vy7
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dawkinsia filamentosa (Valenciennes, 1844)"
 ]
}

 The dataset includes 320 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076196-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mutpu
title: Occurrence Download

description: A dataset containing 6828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 6828 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076195-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/4krh-9077
title: Ghana Compact - Transportation: Final Analysis Report
DOI: 10.3886/azpg-5w57
title: Ghana Compact - Transportation: Final Analysis Report
DOI: 10.15468/dl.2wwgk7
title: Occurrence Download

description: A dataset containing 860752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year is less than 1900"
 ]
}

 The dataset includes 860752 records from 623 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076137-240626123714530/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.26790355
title: pvs_flair.nii.gz

description: pvs flair<br>
DOI: 10.6084/m9.figshare.26790355.v1
title: pvs_flair.nii.gz

description: pvs flair<br>
DOI: 10.6084/m9.figshare.26790331
title: Walkup and Morrissey 2024 SBB data for scaling up taxon-specific microbial traits to predict community-level microbial activity in agricultural systems

description: This data associated with a manuscript by Walkup and Morrissey under consideration for publiation in Soil Biology and Biochemistry entitled "scaling up taxon-specific microbial traits to predict community-level microbial activity in agricultural systems". See the manuscript for information on the data.
DOI: 10.6084/m9.figshare.26790331.v1
title: Walkup and Morrissey 2024 SBB data for scaling up taxon-specific microbial traits to predict community-level microbial activity in agricultural systems

description: This data associated with a manuscript by Walkup and Morrissey under consideration for publiation in Soil Biology and Biochemistry entitled "scaling up taxon-specific microbial traits to predict community-level microbial activity in agricultural systems". See the manuscript for information on the data.
DOI: 10.6084/m9.figshare.26790363
title: Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm

description: This study aimed to develop an accurate and reliable model for predicting suspended sediment load (SL) in river systems, which is crucial for water resource management and environmental protection. While Xtreme Gradient Boosting (XGB), a powerful ensemble machine learning (ML) model, has been employed in previous studies, the novelty of this research lies in the introduction of a hybrid approach that synergistically combines XGB with the bio-inspired Marine Predators Algorithm (XGB-MPA) to estimate SL in the Yeşilirmak River (Turkey). To this end, streamflow (Q) and sediment concentration (SC) values as well as their lag times (1 to 3 month lag times) were fed as input variables – under 9 scenarios – into ML models. A time series of datasets from March 1973 to December 2011 and January 2012 to March 2023 were used for training and testing of ML models, respectively. The superiority of the proposed model (XGB-MPA) compared to two other hybrid models, including XGB-PSO (Particle Swarm Optimization) and XGB-GWO (Grey Wolf Optimization) was also investigated. According to the results, the simultaneous application of Q and SC lag time values as inputs has led to the best SL estimates by XGB-MPA, with XGB-MPA9 (RMSE = 103.7 ton/day; NSE = 0.96) exhibiting the lowest error rates. In addition, XGB-MPA has performed better than XGB in all scenarios, with the lowest and highest reduction in RMSE being 19.3% (scenario 5) and 97.4% (scenario 1), respectively. When comparing the performance of hybrid models, the proposed XGB-MPA model has performed best with MAE, RMSE and NSE of 40.94, 103.7 and 0.96, respectively, in comparison with 816.02, 1063.74 and −2.94 for XGB-PSO and 693.16, 981.68 and −2.37 for XGB-GWO. Further research can include the use of time series of efficient variables extracted from satellite images (e.g. land cover, river morphology, etc.) as model inputs. Improvement of SL estimation by coupling MPA with XGB modelUsing delayed combinations of streamflow and sediment concentration as model inputsSuperiority of MPA compare to PSO and GWO in SL estimationGreater variations in SHAP caused by sediment concentration compared to streamflowFurther studies required on the effects of hydrological and topographical features Improvement of SL estimation by coupling MPA with XGB model Using delayed combinations of streamflow and sediment concentration as model inputs Superiority of MPA compare to PSO and GWO in SL estimation Greater variations in SHAP caused by sediment concentration compared to streamflow Further studies required on the effects of hydrological and topographical features
DOI: 10.6084/m9.figshare.26790363.v1
title: Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm

description: This study aimed to develop an accurate and reliable model for predicting suspended sediment load (SL) in river systems, which is crucial for water resource management and environmental protection. While Xtreme Gradient Boosting (XGB), a powerful ensemble machine learning (ML) model, has been employed in previous studies, the novelty of this research lies in the introduction of a hybrid approach that synergistically combines XGB with the bio-inspired Marine Predators Algorithm (XGB-MPA) to estimate SL in the Yeşilirmak River (Turkey). To this end, streamflow (Q) and sediment concentration (SC) values as well as their lag times (1 to 3 month lag times) were fed as input variables – under 9 scenarios – into ML models. A time series of datasets from March 1973 to December 2011 and January 2012 to March 2023 were used for training and testing of ML models, respectively. The superiority of the proposed model (XGB-MPA) compared to two other hybrid models, including XGB-PSO (Particle Swarm Optimization) and XGB-GWO (Grey Wolf Optimization) was also investigated. According to the results, the simultaneous application of Q and SC lag time values as inputs has led to the best SL estimates by XGB-MPA, with XGB-MPA9 (RMSE = 103.7 ton/day; NSE = 0.96) exhibiting the lowest error rates. In addition, XGB-MPA has performed better than XGB in all scenarios, with the lowest and highest reduction in RMSE being 19.3% (scenario 5) and 97.4% (scenario 1), respectively. When comparing the performance of hybrid models, the proposed XGB-MPA model has performed best with MAE, RMSE and NSE of 40.94, 103.7 and 0.96, respectively, in comparison with 816.02, 1063.74 and −2.94 for XGB-PSO and 693.16, 981.68 and −2.37 for XGB-GWO. Further research can include the use of time series of efficient variables extracted from satellite images (e.g. land cover, river morphology, etc.) as model inputs. Improvement of SL estimation by coupling MPA with XGB modelUsing delayed combinations of streamflow and sediment concentration as model inputsSuperiority of MPA compare to PSO and GWO in SL estimationGreater variations in SHAP caused by sediment concentration compared to streamflowFurther studies required on the effects of hydrological and topographical features Improvement of SL estimation by coupling MPA with XGB model Using delayed combinations of streamflow and sediment concentration as model inputs Superiority of MPA compare to PSO and GWO in SL estimation Greater variations in SHAP caused by sediment concentration compared to streamflow Further studies required on the effects of hydrological and topographical features
DOI: 10.15468/dl.7vp2sq
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramites hypselonotus (Günther, 1868)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 232 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076198-240626123714530/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.26790372
title: A multimethod interpolation approach for mapping the spatial distribution of rainfall in southwest Iberian Peninsula

description: Eight spatial interpolation models were used to map the spatial distribution of precipitation in the southwestern sector of the Iberian Peninsula (22330 km<sup>2</sup>) over 40 years (1980/1981–2019/2020). Rainfall data from 103 meteorological stations were used to generate the interpolation models, namely inverse distance weight (IDW) with 6, 12 and 24 points, regression spline (RS), thin spline (TS), universal kriging with spherical and Gaussian variogram (UK_Sphe and UK_gauss, respectively) and multilinear regression (MR), based on physiographic and geographic variables. Furthermore, 32 rainfall stations were used to assess the performance of the previous methods through 7 statistical metrics Ordinary Least Squares (OLS), Root Mean Square Error (RMSE), Normalized root mean square error (NRMSE), Coefficient of determination (R<sup>2</sup>), Nash-Sutcliffe efficiency coefficient (NSE), Mean Absolute Error (Bias and MAE). Based on these metrics, UK_gauss and IDW_6 provided the best adjustments, whereas MR presented the highest errors. All methods were suitable to predict the spatial distribution of rainfall, but adjustments are conditioned by the features of the study area, gauge density and gauge spatial distribution.
DOI: 10.6084/m9.figshare.26790372.v1
title: A multimethod interpolation approach for mapping the spatial distribution of rainfall in southwest Iberian Peninsula

description: Eight spatial interpolation models were used to map the spatial distribution of precipitation in the southwestern sector of the Iberian Peninsula (22330 km<sup>2</sup>) over 40 years (1980/1981–2019/2020). Rainfall data from 103 meteorological stations were used to generate the interpolation models, namely inverse distance weight (IDW) with 6, 12 and 24 points, regression spline (RS), thin spline (TS), universal kriging with spherical and Gaussian variogram (UK_Sphe and UK_gauss, respectively) and multilinear regression (MR), based on physiographic and geographic variables. Furthermore, 32 rainfall stations were used to assess the performance of the previous methods through 7 statistical metrics Ordinary Least Squares (OLS), Root Mean Square Error (RMSE), Normalized root mean square error (NRMSE), Coefficient of determination (R<sup>2</sup>), Nash-Sutcliffe efficiency coefficient (NSE), Mean Absolute Error (Bias and MAE). Based on these metrics, UK_gauss and IDW_6 provided the best adjustments, whereas MR presented the highest errors. All methods were suitable to predict the spatial distribution of rainfall, but adjustments are conditioned by the features of the study area, gauge density and gauge spatial distribution.
DOI: 10.15468/dl.dsfxez
title: Occurrence Download

description: A dataset containing 1883819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 1950-1959"
 ]
}

 The dataset includes 1883819 records from 721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076139-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmaesh
title: Occurrence Download

description: A dataset containing 3381358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((38.000 85.000, -27.000 85.000, -27.000 56.000, 38.000 56.000, 38.000 85.000))",
 "Year 1900-1949"
 ]
}

 The dataset includes 3381358 records from 862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076138-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive131871.20241212.9.2
title: Pedobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131873.20241212.9.2
title: Plantibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131874.20241212.9.2
title: Plantibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131875.20241212.9.2
title: Plantibacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131876.20241212.9.2
title: Pseudomonas mendocina Palleroni 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131880.20241212.9.2
title: Proteus vulgaris Hauser 1885 emend. Judicial Commission 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.s7aq5h
title: Occurrence Download

description: A dataset containing 96701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea alba L."
 ]
}

 The dataset includes 96701 records from 873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010304-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive131881.20241212.9.2
title: Pseudomonas aeruginosa (Schroeter 1872) Migula 1900

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131886.20241212.9.2
title: Pseudomonas aeruginosa (Schroeter 1872) Migula 1900

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131888.20241212.9.2
title: Pseudomonas putida (Trevisan 1889) Migula 1895

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.efucc7
title: Occurrence Download

description: A dataset containing 5255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Veronica alpina L.",
 "Year 1980-2010"
 ]
}

 The dataset includes 5255 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010370-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive131891.20241212.9.2
title: Pseudomonas kribbensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131892.20241212.9.2
title: Pseudomonas versuta See-Too et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.