cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11230754
title: Linked collectors and determiners for: Alabama Museum of Natural History Bird Specimens (Arctos).

description: Natural history specimen data linked to collectors and determiners held within, "Alabama Museum of Natural History Bird Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.12621690
title: Linked collectors and determiners for: Alabama Museum of Natural History Bird Specimens (Arctos).

description: Natural history specimen data linked to collectors and determiners held within, "Alabama Museum of Natural History Bird Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13130939
title: Linked collectors and determiners for: Alabama Museum of Natural History Bird Specimens (Arctos).

description: Natural history specimen data linked to collectors and determiners held within, "Alabama Museum of Natural History Bird Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/0d28f8a3-b233-4d6e-859b-e7f8c91746d3. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.12823257
title: Dataset for Improved differential expression analysis of miRNA-seq data by modeling competition to be counted
DOI: 10.5281/zenodo.12823256
title: Dataset for Improved differential expression analysis of miRNA-seq data by modeling competition to be counted
DOI: 10.5281/zenodo.13127864
title: Dataset for Improved differential expression analysis of miRNA-seq data by modeling competition to be counted
DOI: 10.6084/m9.figshare.26401306
title: Improved Ant Colony Algorithm

description: The core enhancements encompass three strategic improvements:(1) Initially, we prioritize the algorithm's search capability to explore the solution space broadly. As the iteration progresses, we maintain a delicate equilibrium between exploration and exploitation, ensuring continued diversity while honing in on promising solutions. To achieve this, we integrate the hyperbolic tangent function, fine-tuning the ACO algorithm's behavior to adaptively adjust its search strategy across iterations.(2) Recognizing the tendency of heuristic algorithms to converge prematurely into local optima, we devise a max-min ant colony strategy. This innovation fortifies the algorithm's ability to avoid entrapment in suboptimal solutions, promoting more extensive search landscape exploration and enhancing the chances of discovering globally optimal or near-optimal routes. (3) Lastly, we embed a 2-opt local search algorithm within our framework. This refinement enables the algorithm to iteratively refine its solutions by adjusting the path nodes, leading to quicker convergence while maintaining solution quality. The early convergence judgments facilitated by this integration allow for timely termination of unpromising search directions, further optimizing computational efficiency.
DOI: 10.6084/m9.figshare.26401306.v1
title: Improved Ant Colony Algorithm

description: The core enhancements encompass three strategic improvements:(1) Initially, we prioritize the algorithm's search capability to explore the solution space broadly. As the iteration progresses, we maintain a delicate equilibrium between exploration and exploitation, ensuring continued diversity while honing in on promising solutions. To achieve this, we integrate the hyperbolic tangent function, fine-tuning the ACO algorithm's behavior to adaptively adjust its search strategy across iterations.(2) Recognizing the tendency of heuristic algorithms to converge prematurely into local optima, we devise a max-min ant colony strategy. This innovation fortifies the algorithm's ability to avoid entrapment in suboptimal solutions, promoting more extensive search landscape exploration and enhancing the chances of discovering globally optimal or near-optimal routes. (3) Lastly, we embed a 2-opt local search algorithm within our framework. This refinement enables the algorithm to iteratively refine its solutions by adjusting the path nodes, leading to quicker convergence while maintaining solution quality. The early convergence judgments facilitated by this integration allow for timely termination of unpromising search directions, further optimizing computational efficiency.
DOI: 10.5281/zenodo.12523510
title: Data set, Model, and Catalog for: Data-driven stellar intrinsic colors and dust reddenings for spectro-photometric data

description: Intrinsic colors of stars are essential for the studies on both stellar physics and dust reddening. In this work, we developed an XGBoost model to predict the stellar intrinsic colors with the atmospheric parameters, Teff , log g, and [M/H], which is an improvement of the widely used blue-edge method. The dust reddening toward each line-of-sight can then be calculated by the observed colors minus the derived intrinsic colors.

Here we provide the related data sets:



xgb_model.pkl: the trained XGBoost model.

use_xgb.py: a simple script showing how to use the XGBoost model to predict intrinsic colors.

data_set.fits: this fits file contains the training and test sets, separated into four data arrays:



X_train: X-data (teff,logg,mh) of the training set.

X_test:  X-data (teff,logg,mh) of the test set.

y_train: y-data (BP-RP, BP-Ks, J-Ks) of the training set.

y_test:  y-data (BP-RP, BP-Ks, J-Ks) of the test set.



IC_catalog.csv: a catalog containing a representative set of intrinsic colors at three bands ('BPRP0', 'BPK0', and 'JK0' in columns) as a function of typical Teff, logg, and [M/H] ('teff', 'logg', and 'mh' in columns).


With the above data and model, users can apply the trained XGBoost to new sources to predict their intrinsic colors and calculate their dust reddenings. One can further control the quality of the prediction by selecting training-like sources with the training set and estimating the generalization error by the test set.
DOI: 10.5281/zenodo.12523511
title: Data-driven stellar intrinsic colors and dust reddenings for spectro-photometric data

description: Intrinsic colors of stars are essential for the studies on both stellar physics and dust reddening. In this work, we developed an XGBoost model to predict the stellar intrinsic colors with the atmospheric parameters, Teff , log g, and [M/H], which is an improvement of the widely used blue-edge method. The dust reddening toward each line-of-sight can then be calculated by the observed colors minus the derived intrinsic colors.

Here we provide the related data sets:



xgb_model.pkl: the trained XGBoost model.

use_xgb.py: a simple script showing how to use the XGBoost model to predict intrinsic colors.

data_set.fits: this fits file contains the training and test sets, separating into four data arrays:



X_train: X-data (teff,logg,mh) of the training set.

X_test:  X-data (teff,logg,mh) of the test set.

y_train: y-data (BP-RP, BP-Ks, J-Ks) of the training set.

y_test:  y-data (BP-RP, BP-Ks, J-Ks) of the test set.




With above data and model, users can apply the trained XGBoost to new sources to predict their intrinsic colors and calculate their dust reddenings. One can further control the quality of the prediction by selecting training-like sources with the training set and estimating the generalization error by the test set.
DOI: 10.5281/zenodo.13123457
title: SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-9)

description: SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from  http://sose.ucsd.edu/ (recommended).
DOI: 10.5281/zenodo.13123458
title: SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-9)

description: SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from  http://sose.ucsd.edu/ (recommended).
DOI: 10.15468/dl.3sd2qd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON Z(((-97.21296 16.39706 0,-97.21222 16.39708 0,-97.21128 16.39722 0,-97.21004 16.39721 0,-97.20918 16.39713 0,-97.20829 16.39712 0,-97.20801 16.39724 0,-97.20721 16.39776 0,-97.20676 16.39814 0,-97.20665 16.39876 0,-97.2072 16.39959 0,-97.20781 16.40051 0,-97.20845 16.40148 0,-97.20913 16.40251 0,-97.20973 16.4033 0,-97.21008 16.40374 0,-97.21052 16.40459 0,-97.21073 16.40501 0,-97.2109 16.40569 0,-97.21103 16.40619 0,-97.21121 16.40689 0,-97.21133 16.40738 0,-97.21218 16.40712 0,-97.21281 16.40658 0,-97.21355 16.40604 0,-97.2138 16.40568 0,-97.21458 16.40443 0,-97.21603 16.40343 0,-97.21652 16.40262 0,-97.21673 16.40185 0,-97.21715 16.40079 0,-97.21694 16.40014 0,-97.21671 16.39935 0,-97.21631 16.39866 0,-97.21573 16.39814 0,-97.21472 16.39738 0,-97.21395 16.3973 0,-97.2134 16.39706 0,-97.21296 16.39706 0)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041960-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjhng3
title: Occurrence Download

description: A dataset containing 707122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica chamaedrys L.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 707122 records from 2403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041959-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ntooi
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invertebrate Collection of Dept. of Ecology"
 ]
}

 The dataset includes 558 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007283-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx8ktf
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cithaerias merolina (Zikán, 1942)"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024677-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hzv2g
title: Occurrence Download

description: A dataset containing 138464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procyonidae"
 ]
}

 The dataset includes 138464 records from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056584-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc3slt
title: Occurrence Download

description: A dataset containing 1136 species occurrences available in GBIF matching the query:
{
 "or" : [
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-09-1",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-10-2",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-13-4",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-13-5",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-14-2",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-15-3",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-17-7",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-18-5",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-19-2",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-20-3",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-23-2",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-25-2",
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP97-01-28-3",
 "DatasetKey is Nekton and plankton counts from bongo net (300, 500 µm) hauls of cruise GAE 1975/76",
 "DatasetKey is Nekton and plankton counts from neuston net (300 µm) hauls of cruise GAE 1975/76",
 "DatasetKey is Nekton and plankton counts from RMT (320 µm) hauls of cruise GAE 1975/76",
 "DatasetKey is Oberservation of birds at station PS14/145 along 49° West",
 "DatasetKey is Oberservation of birds at station PS14/146 along 49° West",
 "DatasetKey is Oberservation of birds at station PS14/148 along 49° West",
 "DatasetKey is Oberservation of birds at station PS14/149 along 49° West"
 ]
}

 The dataset includes 1136 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007283-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqqkp6
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubo scandiacus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "EventDate 2020-01-01-2023-12-31",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-78.97715 38.59582, -76.6307 38.59582, -76.6307 40.38022, -78.97715 40.38022, -78.97715 38.59582))"
 ]
}

 The dataset includes 700 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020037-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mn9xc
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hypoprepia muelleri Dyar, 1907",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007283-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn6qq2
title: Occurrence Download

description: A dataset containing 22683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardinalis cardinalis (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "EventDate 2020-01-01-2023-12-31",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-78.15598 39.22026, -77.45209 39.22026, -77.45209 39.75556, -78.15598 39.75556, -78.15598 39.22026))"
 ]
}

 The dataset includes 22683 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020045-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjg9d8
title: Occurrence Download

description: A dataset containing 82749 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Mexico",
 "Country is United States of America"
 ]
 },
 "TaxonKey is Ictinia mississippiensis (A.Wilson, 1811)"
 ]
}

 The dataset includes 82749 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007283-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckpraz
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notropis chrosomus (Jordan, 1877)"
 ]
}

 The dataset includes 777 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024676-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgtdlq
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heritiera fomes Buch.-Ham."
 ]
}

 The dataset includes 64 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smysmy
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Berberis montana Gay"
 ]
}

 The dataset includes 125 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031381-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1fbjja
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aegilops tauschii Coss."
 ]
}

 The dataset includes 793 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37dzy9
title: Occurrence Download

description: A dataset containing 3772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Línea base general de mariposas para el valle medio del Magdalena - VMM"
 ]
}

 The dataset includes 3772 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038334-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr4c5u
title: Occurrence Download

description: A dataset containing 621905 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Puerto Rico"
 ]
}

 The dataset includes 621905 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkf99b
title: Occurrence Download

description: A dataset containing 1606 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Magnolia Plum. ex L.)"
 ]
}

 The dataset includes 1606 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019997-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txrsfn
title: Occurrence Download

description: A dataset containing 146415 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico"
 ]
 },
 "TaxonKey is Buteo swainsoni Bonaparte, 1838"
 ]
}

 The dataset includes 146415 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bd5g9y
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heritiera globosa Kosterm."
 ]
}

 The dataset includes 56 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007285-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bw44a
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Podeonius acuticornis (Germar, 1823)"
 ]
}

 The dataset includes 287 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020002-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwc9a2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces oceani"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014729-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.