cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17299208
title: Cotal Conservation Site  (RGB) - September 25 2025

description: This orthomosaic of Malesso, Guam was created from 4490 images taken on September 25 2025, at 390 ft AGL, with a DJI Matrice 350 UAV . The mission was planned using the DJI Pilot application and post-processed using Drone Deploy.This project was made possible through funding by the following grant(s): NASA Guam EPSCoR  (80NSSC22M0052), NASA Guam Space Grant  (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).
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.17274890
title: Physically Constrained Hybrid Deep Learning for Seismic Inversion to Enhance Reservoir Fluid Discrimination.

description: This study presents a novel inversion framework that integrates deep learning with ensemble modeling, rigorously constrained by rock physics theory, to enhance the prediction of subsurface properties across varying seismic incidence angles. Utilized Gassmann and Aki-Richards equations to generate label data for the training process. Developed a weighting algorithm that assigns optimal weights to each base model based on its accuracy.

Our hybrid deep learning–ensemble method outperforms conventional inversion and standard deep learning across seismic incidence angles, delivering more accurate and efficient reservoir characterization and enabling stronger predictions of fluid content and production behavior.
DOI: 10.5281/zenodo.17274889
title: Physically Constrained Hybrid Deep Learning for Seismic Inversion to Enhance Reservoir Fluid Discrimination.

description: This study presents a novel inversion framework that integrates deep learning with ensemble modeling, rigorously constrained by rock physics theory, to enhance the prediction of subsurface properties across varying seismic incidence angles. Utilized Gassmann and Aki-Richards equations to generate label data for the training process. Developed a weighting algorithm that assigns optimal weights to each base model based on its accuracy.

Our hybrid deep learning–ensemble method outperforms conventional inversion and standard deep learning across seismic incidence angles, delivering more accurate and efficient reservoir characterization and enabling stronger predictions of fluid content and production behavior.
DOI: 10.15468/dl.x29mfs
title: Occurrence Download

description: A dataset containing 470287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procellariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 30,-60 30,-60 60,-90 60,-90 30))"
 ]
}

 The dataset includes 470287 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063600-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17299203
title: Data and Scripts for: Why Hydrological Memory Dominates in Low-latitude Highlands: A Mechanistic Shift in Ecosystem Response to Extremes

description: Understanding how compound extremes affect terrestrial ecosystems is a major challenge in Earth system science. Although the combined effects of stressors are recognized, the manner in which the prestress state determines the basic response mechanism remains unclear. In this study, we used the "natural experiment" methodology to compare two major extreme events within a monsoon-influenced, low-latitude highlands setting to explain mechanistic changes in land-atmosphere interactions. By analyzing an extensive set of remote sensing and reanalysis data with nonlinear structural equation modelling, we show that the ecosystem response shifted from a traditional water-limited paradigm during the 2010 drought to an energy-governed paradigm during the 2019 heatwave. Our results suggest that this transition is governed by the antecedent root zone soil moisture status, which acts as a tipping point fundamentally shifting the impact of atmospheric factors on canopy evapotranspiration screens, such as temperature and vapor pressure deficit. This study highlights a possible threshold-type state dependence non-linearity, which is lacking in major Earth System Models. Incorporating this “hydrological memory” is crucial for minimizing uncertainties in climate projections and for correctly assessing the vulnerability of ecosystems in a warming world.

 



This repository contains NCL scripts and documentation for analyzing climate data in the Low Latitude Highland region. The scripts generate various figures showing the relationship between vegetation productivity (GPP), root-zone available water content, and terrain characteristics.
DOI: 10.15468/dl.pdr8te
title: Occurrence Download

description: A dataset containing 551717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anseriformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 -60,30 -60,30 -30,0 -30,0 -60))"
 ]
}

 The dataset includes 551717 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063618-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17283963
title: Thymus_Transcriptome_SingleCell_2025
DOI: 10.5281/zenodo.17283962
title: Thymus_Transcriptome_SingleCell_2025
DOI: 10.57687/fk2/8sbs5g
title: Graduates Collection

description: This collection consists of 36 variables related to graduate students at Tecnológico de Monterrey, from 1996 to date. Among the categories of data available within these collections are: -Sociodemographic data (gender, nationality, region). -Previous academic information (school, type of school, region). -Academic information (academic programs, average, subjects studied). -Financial Support (percentages of scholarship and credit).
DOI: 10.57687/fk2/8sbs5g/z9omrh
title: Graduate Collection Data Dictionary.tab

description: :unav
DOI: 10.57687/fk2/8sbs5g/osh9mz
title: Graduates_Data Dictionary.tab

description: :unav
DOI: 10.57687/fk2/8sbs5g/zlmvqw
title: graduatecollectiondiagram.jpg

description: :unav
DOI: 10.15468/dl.yj5tb2
title: Occurrence Download

description: A dataset containing 477901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2022-2022"
 ]
}

 The dataset includes 477901 records from 547 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063627-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcwhqf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Ziziphus budhensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063651-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtsc9r
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria pallidifolia"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063650-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzuu45
title: Occurrence Download

description: A dataset containing 1057633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procellariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 30,0 30,0 60,-30 60,-30 30))"
 ]
}

 The dataset includes 1057633 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063612-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxscnx
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria paloensis"
 ]
}

 The dataset includes 86 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063653-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akx4y8
title: Occurrence Download

description: A dataset containing 95005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-09-13",
 "EventDate is less than or equal to 2025-10-13",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 95005 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063630-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjfp79
title: Occurrence Download

description: A dataset containing 26824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor"
 ]
}

 The dataset includes 26824 records from 444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063652-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yx2xq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria panayensis"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063654-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q87hk6
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbatula barbatula",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 179 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063655-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6akx3
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nothotsuga longibracteata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 305 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063657-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh5tzn
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbatula barbatula",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 128 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063656-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zryp2
title: Occurrence Download

description: A dataset containing 568756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((-0.38544 -6.99639,5.31912 -6.99639,5.31912 89.36451,-0.38544 89.36451,-0.38544 -6.99639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aglais urticae"
 ]
}

 The dataset includes 568756 records from 1437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063621-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15696121
title: Wikipedia Multilingual Fragments (WMF)

description: Wikipedia Multilingual Fragments (WMF) is a multilingual corpus of clean text fragments extracted from 340 different Wikipedia language editions using the official MediaWiki API.

The dataset contains over 373,000 plain-text fragments, each between 500 and 1500 characters, collected by randomly sampling Wikipedia articles in encyclopedic namespaces. For each language, up to 2 million characters were collected, discarding articles that were too short or contained excessive formatting. Fragments were cleaned by removing section headers, citations, LaTeX expressions, and redundant whitespace.

Contents

The repository includes:





wmf.csv: a unified CSV file with one row per text fragment. Each row includes metadata such as:





language code




article ID and title




character count of the excerpt




timestamp of extraction




a flag indicating whether the excerpt was truncated




the cleaned text itself






chunks/: 8,212 plain-text files, each containing exactly 50,000 characters. These were generated by concatenating all excerpts per language and splitting them into fixed-length, non-overlapping segments. Only complete chunks were retained. Languages that could not produce at least one full chunk were excluded, resulting in a final count of 325 languages in this stage.




analysis/n_grams/: character-level n-gram frequency tables (n=1 to 20) for each language, based on the cleaned text.




analysis/tfidf/: word- and character-based TF, IDF, and TF-IDF scores per language, depending on the script (e.g., word-based for English, character-based for Chinese, Japanese, etc.).




scripts/: Python scripts to reproduce the dataset and analyses:





generate_fragments_from_wikipedia.py: collects and filters plain-text excerpts from Wikipedia.




merge_language_csvs.py: merges individual per-language CSVs into a unified dataset (wmf.csv).




chunk_creation.py: creates fixed-length (50,000 characters) text chunks from the full dataset, removing invisible Unicode characters and discarding incomplete segments.




n_grams_calculator.py: computes character-level n-gram frequencies (1 to 20) per language.




tfidf_calculator.py: calculates TF, IDF, and TF-IDF scores per language using language-aware tokenization.





Applications

This dataset is designed for:





multilingual language modeling




benchmarking tokenization strategies




cross-linguistic comparison




low-resource NLP




statistical and linguistic analysis
DOI: 10.5281/zenodo.15696122
title: Wikipedia Multilingual Fragments (WMF)

description: Wikipedia Multilingual Fragments (WMF) is a multilingual corpus of clean text fragments extracted from 340 different Wikipedia language editions using the official MediaWiki API.

The dataset contains over 373,000 plain-text fragments, each between 500 and 1500 characters, collected by randomly sampling Wikipedia articles in encyclopedic namespaces. For each language, up to 2 million characters were collected, discarding articles that were too short or contained excessive formatting. Fragments were cleaned by removing section headers, citations, LaTeX expressions, and redundant whitespace.

Contents

The repository includes:





wmf.csv: a unified CSV file with one row per text fragment. Each row includes metadata such as:





language code




article ID and title




character count of the excerpt




timestamp of extraction




a flag indicating whether the excerpt was truncated




the cleaned text itself






chunks/: 8,212 plain-text files, each containing exactly 50,000 characters. These were generated by concatenating all excerpts per language and splitting them into fixed-length, non-overlapping segments. Only complete chunks were retained. Languages that could not produce at least one full chunk were excluded, resulting in a final count of 325 languages in this stage.




analysis/n_grams/: character-level n-gram frequency tables (n=1 to 20) for each language, based on the cleaned text.




analysis/tfidf/: word- and character-based TF, IDF, and TF-IDF scores per language, depending on the script (e.g., word-based for English, character-based for Chinese, Japanese, etc.).




scripts/: Python scripts to reproduce the dataset and analyses:





generate_fragments_from_wikipedia.py: collects and filters plain-text excerpts from Wikipedia.




merge_language_csvs.py: merges individual per-language CSVs into a unified dataset (wmf.csv).




chunk_creation.py: creates fixed-length (50,000 characters) text chunks from the full dataset, removing invisible Unicode characters and discarding incomplete segments.




n_grams_calculator.py: computes character-level n-gram frequencies (1 to 20) per language.




tfidf_calculator.py: calculates TF, IDF, and TF-IDF scores per language using language-aware tokenization.





Applications

This dataset is designed for:





multilingual language modeling




benchmarking tokenization strategies




cross-linguistic comparison




low-resource NLP




statistical and linguistic analysis
DOI: 10.15468/dl.wgk6t2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Glinus radiatus",
 "Year 1988-1989"
 ]
}

 The dataset includes 9 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008077-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7c6ee
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.15_1, CHN.31_1, CHN.1_1, CHN.24_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peristrophe tianmuensis H.S.Lo"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021043-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnnrpp
title: Occurrence Download

description: A dataset containing 65071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setophaga cerulea (A.Wilson, 1810)"
 ]
}

 The dataset includes 65071 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011168-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppmfa2
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor concolor"
 ]
}

 The dataset includes 158 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257331-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38j63e
title: Occurrence Download

description: A dataset containing 138737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Year 1985-2000"
 ]
}

 The dataset includes 138737 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241759-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvzauk
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is African Plants - a photo guide",
 "DatasetKey is West African Vegetation Database",
 "DatasetKey is Census of invasive alien plant species of Benin (West Africa) by SOS Biodiversity",
 "DatasetKey is Diversité et distribution des plantes envahissantes au Bénin",
 "DatasetKey is Herbier du Bénin",
 "DatasetKey is University of Ghana - Ghana Herbarium",
 "DatasetKey is Herbarium Senckenbergianum (FR)"
 ]
 },
 "TaxonKey is Striga hermonthica (Delile) Benth."
 ]
}

 The dataset includes 335 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011169-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v395je
title: Occurrence Download

description: A dataset containing 2363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-180 -90,180 -90,180 -60,-180 -60,-180 -90))",
 "InstitutionCode is usnm",
 "TaxonKey is Bivalvia"
 ]
}

 The dataset includes 2363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270929-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.