cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d6z62p
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterolecanium pustulans (Cockerell, 1892)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003982-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqhcsz
title: Occurrence Download

description: A dataset containing 3401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pollenia labialis Robineau-Desvoidy, 1863",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3401 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003981-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17287290
title: Detection of Submerged Targets Beyond Eyes' Observation Using Satellite Lidar and Multispectral Data

description: Detecting submerged targets in shallow waters from satellite platforms remains a challenge, as the optical spectral information of targets is significantly distorted by the absorption and scattering effects of the water column. In this study, we propose a new framework as the bathymetry-informed target extraction (BITE), which integrates the spaceborne lidar data and multispectral imagery. By using lidar assisted Satellite-Derived Bathymetry (SDB) model, we convert the complex multispectral information into relative depth data. Through this transformation, the challenging issue of distorted color domain image segmentation is converted into the task of depth anomaly detection. The method is validated on submerged artificial stone weirs and breakwaters in typical open ocean and coastal waters, which indicates significant improvements in target detection rate and reliability compared to direct color-based methods. This approach promises large-scale surveys of submerged targets in shallow waters, offering an alternative solution to on-site surveys such as shipborne sonars. 
description: This dataset includes several remote sensing images, bathymetric maps, and submerged target extraction result images. It is intended to support the reproduction of experimental results and further research related to the corresponding paper. The files are described as follows:





Original Remote Sensing Image Data

"Beijing-3imgdata1.tif", "Beijing-3imgdata2&3.tif", "20200420T031539_20200420T033213_T48NUL.tif", "20200818T031549_20200818T033342_T48NUL.tif", and "20201116T032019_20201116T033255_T48NUK.tif" : These are the primary remote sensing images used for result presentation in the paper, supporting experiments on depth estimation and target detection.

"Beijing-3imgdata_only for training.tif": Used to increase the number of matched depth data points during the  satellite-derived bathymetry (SDB) model training. This image does not contain detectable submerged targets and was not used for visual result display.




Bathymetric Maps

"SDBmap_xx.tif": These correspond to the bathymetric estimation results shown in Figure 3 of the paper and are used to demonstrate SDB derived from remote sensing imagery.




Submerged Target Extraction Results and Ground Truth

"Result_xx.png": These are the result images shown in Figure 4 of the paper, illustrating the model’s performance in detecting submerged targets within the remote sensing images.
"Ground truth_xx.png":These are the ground truth mask shown in Figure 4 of the paper.



Model Weight File

“mdsam_512.pth”: This is the pre-trained weight file for the MDSAM model used in this study. The model architecture and code can be accessed via the following GitHub repository:

 https://github.com/BellyBeauty/MDSAM
DOI: 10.5281/zenodo.15845481
title: Detection of Submerged Targets Beyond Eyes' Observation Using Satellite Lidar and Multispectral Data

description: Detecting submerged targets in shallow waters from satellite platforms remains a challenge, as the optical spectral information of targets is significantly distorted by the absorption and scattering effects of the water column. In this study, we propose a new framework as the bathymetry-informed target extraction (BITE), which integrates the spaceborne lidar data and multispectral imagery. By using lidar assisted Satellite-Derived Bathymetry (SDB) model, we convert the complex multispectral information into relative depth data. Through this transformation, the challenging issue of distorted color domain image segmentation is converted into the task of depth anomaly detection. The method is validated on submerged artificial stone weirs and breakwaters in typical open ocean and coastal waters, which indicates significant improvements in target detection rate and reliability compared to direct color-based methods. This approach promises large-scale surveys of submerged targets in shallow waters, offering an alternative solution to on-site surveys such as shipborne sonars. 
description: This dataset includes several remote sensing images, bathymetric maps, and submerged target extraction result images. It is intended to support the reproduction of experimental results and further research related to the corresponding paper. The files are described as follows:





Original Remote Sensing Image Data

"Beijing-3imgdata1.tif", "Beijing-3imgdata2&3.tif", "20200420T031539_20200420T033213_T48NUL.tif", "20200818T031549_20200818T033342_T48NUL.tif", and "20201116T032019_20201116T033255_T48NUK.tif" : These are the primary remote sensing images used for result presentation in the paper, supporting experiments on depth estimation and target detection.

"Beijing-3imgdata_only for training.tif": Used to increase the number of matched depth data points during the  satellite-derived bathymetry (SDB) model training. This image does not contain detectable submerged targets and was not used for visual result display.




Bathymetric Maps

"SDBmap_xx.tif": These correspond to the bathymetric estimation results shown in Figure 3 of the paper and are used to demonstrate SDB derived from remote sensing imagery.




Submerged Target Extraction Results and Ground Truth

"Result_xx.png": These are the result images shown in Figure 4 of the paper, illustrating the model’s performance in detecting submerged targets within the remote sensing images.
"Ground truth_xx.png":These are the ground truth mask shown in Figure 4 of the paper.



Model Weight File

“mdsam_512.pth”: This is the pre-trained weight file for the MDSAM model used in this study. The model architecture and code can be accessed via the following GitHub repository:

 https://github.com/BellyBeauty/MDSAM
DOI: 10.15468/dl.jeknrd
title: Occurrence Download

description: A dataset containing 8692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus sichelii"
 ]
}

 The dataset includes 8692 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005613-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emzdaf
title: Occurrence Download

description: A dataset containing 5511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachychiton acerifolius)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5511 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005612-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive127088.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127089.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127089.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127090.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127090.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127091.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127091.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127092.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127092.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127093.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127093.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127094.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127094.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127095.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127095.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127096.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127096.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127097.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127097.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127098.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127098.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127099.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127099.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127100.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127100.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127101.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127101.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127102.20241212.9.2
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive127102.20251217.10
title: Streptomyces abikoensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.tdnr2p
title: Occurrence Download

description: A dataset containing 11922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium alpestre L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 11922 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040449-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mml8rh
title: Occurrence Download

description: A dataset containing 1743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplolepis gracilipes (Smith, 1857)"
 ]
}

 The dataset includes 1743 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040450-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10002133
title: Codes for A hidden connection of meso-scale convective rainfall and large-scale circulations over the eastern Pacific

description: README
System requirments

Figure 1, ED_Figure_1, and ED_FIGURE_3:  IDL (v8.5) on Linux OS
Figure 3, Figure 4, ED_Figure_4, and ED_FIGURE_5: Python (v3.7.3) on Linux OS
Figure 2 and ED_Figure_2: Sigmaplot (v10.0)
Installation guide
- The sub-modules needed to execute IDL code are in each directory.
- The idlsave module is used to read the input data from the Python code. 
IDLsave can be installed with the following command:
> pip install idlsave 
It takes about 1 minute to install. 
More information is available at (https://pypi.org/project/IDLSave/). 
Demo
Sample data, code, and expected output are located in their repective directories.
Each code requires execution time of less than 1 minute.
Instruction for use
IDL code) type idl to enter IDL mode
idl> .r (figure name).pro 
Python code) 
> python (figurename).py
DOI: 10.15468/dl.c35wfp
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Otus pauliani Benson, 1960"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057137-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqyder
title: Occurrence Download

description: A dataset containing 5606 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 "TaxonKey is Hydrocharis morsus-ranae L."
 ]
}

 The dataset includes 5606 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222041-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyy4n9
title: Occurrence Download

description: A dataset containing 3843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rostellularia adscendens (R.Br.) R.Barker",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3843 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114742-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afhc4b
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bergenia ciliata (Haw.) Sternb."
 ]
}

 The dataset includes 205 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057163-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njpo5x
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pimpinella cretica Poir.",
 "TaxonKey is Pinellia ternata (Thunb. ex Murray) T.Makino",
 "TaxonKey is Pineus pineoides (Cholodkovsky, 1903)",
 "TaxonKey is Pineus pini (Goeze, 1778)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 922 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040451-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ytnjr
title: Occurrence Download

description: A dataset containing 5484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies balsamea (L.) Mill.",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 5484 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114736-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcn113
title: Occurrence Download

description: A dataset containing 96922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium arvense L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 96922 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040453-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffnev8
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pterodroma heraldica (Salvin, 1888)"
 ]
}

 The dataset includes 600 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003055-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uus0en
title: Occurrence Download

description: A dataset containing 4893 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monstrilloida"
 ]
}

 The dataset includes 4893 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007367-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szcrwt
title: Occurrence Download

description: A dataset containing 4397 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dacelo gaudichaud Gaimard, 1823"
 ]
}

 The dataset includes 4397 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003045-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrm83y
title: Occurrence Download

description: A dataset containing 11865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sempervivum montanum L."
 ]
}

 The dataset includes 11865 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040453-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jshttj
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-108.19336 18.47961,-91.8457 13.41099,-83.93555 6.83917,-77.60742 7.36247,-86.39648 21.94305,-94.83398 21.77991,-100.10742 25.95804,-101.51367 28.1495,-104.85352 28.45903,-106.78711 30.60009,-115.40039 31.50363,-118.91602 31.50363,-108.19336 18.47961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Swartzia cubensis (Britton & P.Wilson) Standl.",
 "Year 1991-2021"
 ]
}

 The dataset includes 665 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0346281-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.