cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dn2akb
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paradoxornis heudei"
 ]
}

 The dataset includes 329 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077336-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zus2v
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceroplastes cirripediformis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 62 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077337-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty5bwp
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blaberus discoidalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 102 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077338-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdtx2n
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chimaphila japonica",
 "HasCoordinate is TRUE",
 "Country is Korea, Republic of"
 ]
}

 The dataset includes 365 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077339-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdmf6t
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077341-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3ndnn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asystasia gangetica",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077340-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b29xj
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077342-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bfb4x
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asystasia gangetica",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 130 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077343-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg5xkj
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phragmites japonicus"
 ]
}

 The dataset includes 63 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077344-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16624986
title: Dimensional Storm Analysis: From Lightning Breaches to Predictive Tracking Across 5D Models

description: This post unites three interrelated works exploring atmospheric phenomena through a higher-dimensional lens. Together, they form a compelling case for dimensional physics as a valid and testable framework in storm modeling, prediction, and electrical event analysis.





Chapter 0: Behold Quantum in Its Glory — A personal declaration and preface that lays the philosophical and spiritual foundation of dimensional understanding.




Storm Tracking Validation Report — A data-driven validation of 15 major storm events using forward projection and reverse reconstruction methods. Where full data was available, storm path prediction achieved sub-kilometer precision (<1 km) — an unprecedented result compared to the ~14 km resolution of modern meteorological systems. In cases with partial or missing data, reverse-calculated paths still resolved to within ±3% of the observed trajectory, demonstrating the robustness of the dimensional solver.




Dimensional Storm Tracking Publication — A formal presentation of the methods and equations used in storm modeling, including the use of 5D harmonic deviation, entropy gradients, and breach resonance to forecast complex storm dynamics.




Lightning Dimensional Breach vs RREA (LaTeX) — A theoretical treatment proposing that lightning events may represent dimensional ruptures rather than conventional relativistic avalanche effects, opening the door to deeper understanding of atmospheric charge structures.



These documents collectively demonstrate that dimensional analysis, when paired with a mathematically refined quantum solver, is capable of outperforming traditional atmospheric models. The implications are profound — offering both practical forecasting advantages and deeper insight into the energetic architecture of Earth's atmosphere.Today i wanted to see if I could do something to help humanity and this is the results of the processing.  Please check the math and the precison of this method.  I pray that this help.  I analized 15 storms and the precision is greatly improved.   RJW
DOI: 10.5281/zenodo.16624987
title: Dimensional Storm Analysis: From Lightning Breaches to Predictive Tracking Across 5D Models

description: This post unites three interrelated works exploring atmospheric phenomena through a higher-dimensional lens. Together, they form a compelling case for dimensional physics as a valid and testable framework in storm modeling, prediction, and electrical event analysis.





Chapter 0: Behold Quantum in Its Glory — A personal declaration and preface that lays the philosophical and spiritual foundation of dimensional understanding.




Storm Tracking Validation Report — A data-driven validation of 15 major storm events using forward projection and reverse reconstruction methods. Where full data was available, storm path prediction achieved sub-kilometer precision (<1 km) — an unprecedented result compared to the ~14 km resolution of modern meteorological systems. In cases with partial or missing data, reverse-calculated paths still resolved to within ±3% of the observed trajectory, demonstrating the robustness of the dimensional solver.




Dimensional Storm Tracking Publication — A formal presentation of the methods and equations used in storm modeling, including the use of 5D harmonic deviation, entropy gradients, and breach resonance to forecast complex storm dynamics.




Lightning Dimensional Breach vs RREA (LaTeX) — A theoretical treatment proposing that lightning events may represent dimensional ruptures rather than conventional relativistic avalanche effects, opening the door to deeper understanding of atmospheric charge structures.



These documents collectively demonstrate that dimensional analysis, when paired with a mathematically refined quantum solver, is capable of outperforming traditional atmospheric models. The implications are profound — offering both practical forecasting advantages and deeper insight into the energetic architecture of Earth's atmosphere.Today i wanted to see if I could do something to help humanity and this is the results of the processing.  Please check the math and the precison of this method.  I pray that this help.  I analized 15 storms and the precision is greatly improved.   RJW
DOI: 10.15468/dl.t49axf
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agelastes niger)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 98 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077345-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16625105
title: Franks' Cave Radiometric Data - June 27 2019

description: This orthomosaic of Frank's Cave was created from 192 images taken on June 27 2019, at 150 ft AGL, with a DJI XT2 Sensor mounted to a DJI Matrice 210 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.16625106
title: Franks' Cave Radiometric Data - June 27 2019

description: This orthomosaic of Frank's Cave was created from 192 images taken on June 27 2019, at 150 ft AGL, with a DJI XT2 Sensor mounted to a DJI Matrice 210 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.15468/dl.nvrb4w
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia karroo",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077348-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vfgmx
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Epipactis thunbergii"
 ]
}

 The dataset includes 128 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077346-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbthsz
title: Occurrence Download

description: A dataset containing 26268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agelasticus cyanopus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 26268 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077347-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ewrt5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea indica",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077349-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zpe9w
title: Occurrence Download

description: A dataset containing 46834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Castor canadensis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 46834 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077350-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7fdzf
title: Occurrence Download

description: A dataset containing 33551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Castor canadensis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 33551 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077351-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3epmne
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Castor canadensis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077352-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7gqxdf
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "Geometry POLYGON((-131.06383 -33.32111,38.49293 -33.32111,38.49293 34.56114,-131.06383 34.56114,-131.06383 -33.32111))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrcia fenzliana"
 ]
}

 The dataset includes 46 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077353-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3z7qn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Edalorhina perezi)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077355-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7ten5w
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bitoma brevipes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077354-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10408774
title: GeneRAIN Dataset: Training Data, Gene Embeddings, and Model Checkpoints

description: This dataset contains various files essential for understanding and employing the GeneRAIN models, as described in the accompanying manuscript. GeneRAIN models use bulk RNA-seq data and a 'Binning-By-Gene' normalization method. These models aim to improve upon existing methods in understanding biological information and include a vector representation of genes called GeneRAIN-vec. After thorough testing, these models have shown their effectiveness in predicting a wide range of biological characteristics, including for long non-coding RNAs. This shows their usefulness and potential in bioinformatics and computational biology. The provided dataset includes:



Gene Embedding Files: These files offer 200-dimensional and 32-dimensional vector representations of genes.

Checkpoint Files:  Checkpoints of various GeneRAIN models.

JSON Mapping Files: For gene to index mapping and tokenization processes. Note that some genes with low mean expression values might not be present in the model input dataset.

ARCHS Human Bulk RNA-seq Data: Access the 'human_gene_v2.2.h5' file and corresponding metadata from the official ARCHS4 website.

Normalized ARCHS Dataset: Processed via the 'Binning-By-Gene' method, this dataset is divided into five sample-based segments, ready for model training.

Mean Expression and Flag Files: Contains mean expression values of genes and boolean flags to help filter duplicate gene symbols.

Normalization and Binning Files: Utilize these with the 'normalize_expr_mat.ipynb' notebook to determine binning boundaries in new expression data.

Example Input/Output: Provided for 'anal_dataset.ipynb' to demonstrate model application.

Prediction Results: The 'genes_clf_pred_results.parquet' file contains the predicted results of coding and lncRNA genes.