cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ht61wf
title: Occurrence Download

description: A dataset containing 1146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bradypus variegatus Schinz, 1825"
 ]
}

 The dataset includes 1146 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007490-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2k297
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.30_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parashorea chinensis WangHsie"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028059-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4me2kw
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gynostemma pentaphyllum (Thunb.) Makino",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 856 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190995-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6vqsa
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista lagotois H.S.Irwin & Barneby"
 ]
}

 The dataset includes 27 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007491-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wuuq2
title: Occurrence Download

description: A dataset containing 9136518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 9136518 records from 5783 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006032-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/12bezm
title: Diagnostic Accuracy of Presepsin, sMR, and Established Inflammatory Biomarkers in Critically Ill Children with Sepsis or Systemic Inflammatory Response Syndrome

description: Background: Sepsis in children is a life-threatening condition that continues to be a serious challenge in emergency and intensive care medicine due to the lack of universal, rapid, and highly reliable diagnostic methods. Although C-reactive protein (CRP) and procalcitonin (PCT) are widely used in clinical practice, their effectiveness is limited. Objective: To evaluate the diagnostic reliability of presepsin and soluble mannose receptor (sMR) by determining the most effective combinations of biomarkers for distinguishing sepsis from non-infectious systemic inflammatory response syndrome (SIRS) in children. Methods: A prospective study was conducted among 80 children hospitalized in a pediatric intensive care unit and divided into three groups: septic (n=42), critically ill with non-infectious SIRS (n=11), and control (n=27). Presepsin and sMR levels were assessed using standard and ELISA methods. ROC analysis and multiple logistic regression were used to determine the diagnostic efficacy of each marker and their combinations, including the established biomarkers CRP and PCT. Results: All biomarkers studied showed a statistically significant increase in septic and critically ill patients compared to the control group (p&lt;0.05). None of them showed a statistically significant advantage in distinguishing between patients with sepsis and those with non-infectious SIRS. The combined model sMR + CRP + PCT (AUC=0.78, p=0.0007) showed the highest discriminatory ability. In comparison, CRP + PCT showed lower efficacy (AUC=0.71, p=0.0087), but retained its established diagnostic value. Conclusion: The combined biomarker approach demonstrates an advantage over the use of individual markers alone. The addition of sMR to the established markers CRP and PCT improves diagnostic accuracy in pediatric sepsis. Further validation in larger cohorts is needed.
DOI: 10.15468/dl.d7u56s
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptobranchus alleganiensis (Sonnini de Manoncourt & Latreille, 1801)"
 ]
}

 The dataset includes 2227 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036996-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15643458
title: Graph-Augmented Object Detection for Robust Cotton Boll Maturity Assessment

description: This dataset supports the research study titled “Graph-Augmented Object Detection for Robust Cotton Boll Maturity Assessment.” The dataset includes RGB field images of matured cotton bolls captured under varying lighting and occlusion conditions. Graph-structured data used for training and evaluating a hybrid YOLOv8-Seg + GNN model for precision agriculture applications.
DOI: 10.5281/zenodo.10091583
title: Coherent Charge Oscillations in a Bilayer Graphene Double Quantum Dot

description: This repository contains the experimental data and the scripts for evaluating the data of the publication "Coherent Charge Oscillations in a Bilayer Graphene Double Quantum Dot".
DOI: 10.5281/zenodo.10091584
title: Coherent Charge Oscillations in a Bilayer Graphene Double Quantum Dot

description: This repository contains the experimental data and the scripts for evaluating the data of the publication "Coherent Charge Oscillations in a Bilayer Graphene Double Quantum Dot".
DOI: 10.15468/dl.g25jt9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tomopterna delalandii (Tschudi, 1838)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036997-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/14dqth
title: FL – all hourly probabilistic datasets & summary report files

description: All valid hourly probabilistic datasets & summary report for FL
DOI: 10.5281/zenodo.12127490
title: Choosing the Right Test Generation Tool: A Guide for Software Practitioners

description:  Context: As applications become more complex, the role of software testing tools is crucial for ensuring high-quality development and maintenance. Goal: This study aims to identify and evaluate key tools, shedding light on their advantages and disadvantages. The goal is to compile this information into a comprehensive reference guide, assisting developers in selecting the most suitable tool for specific testing scenarios, and enhancing efficiency. Method: We conducted a multivocal literature review and a survey involving professionals from various software development domains. The survey assessed participants' familiarity with identified tools and sought insights into the advantages and challenges influencing tool adoption decisions. Results: Findings revealed that many tools, some of the identified tools are well-known and others are not widely known or utilized. The study identified a set of most desired and most avoided characteristics in the selection of tools for projects. Conclusions: From an industry perspective, this research impacts the selection of the appropriate tool for specific contexts. It also impacts the ongoing investigation of software testing tools and decision-making processes in software development.
DOI: 10.15468/dl.eqcg52
title: Occurrence Download

description: A dataset listing the 86 species recorded in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-65.05177 48.14082, -65.05617 48.13933, -65.06677 48.13722, -65.07082 48.13226, -65.0738 48.12663, -65.07619 48.11904, -65.0773 48.11145, -65.07149 48.11057, -65.06683 48.10725, -65.04884 48.11232, -65.03647 48.11193, -65.02457 48.11303, -65.03498 48.13008, -65.03608 48.1333, -65.05177 48.14082)))"
 ]
}

 The dataset's 86 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036991-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvyqcb
title: Occurrence Download

description: A dataset containing 8082 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "GadmGid is one of (COL.28_2, COL)",
 "StateProvince is one of (santander, santander dept., santander department, departamento de santander, santander dept, santander sue, bucaramanga, santader, santander del sur, santander. sur)",
 "TaxonKey is one of (Elasmobranchii, Perciformes, Cyprinodontiformes, Atheriniformes, Characiformes, Gymnotiformes, Myliobatiformes, Salmoniformes, Siluriformes, Synbranchiformes)"
 ]
 }
 ]
}

 The dataset includes 8082 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036998-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.by25v5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tomopterna delalandii (Tschudi, 1838)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036999-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9u7r8y
title: Occurrence Download

description: A dataset containing 24977322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sterna paradisaea Pontoppidan, 1763, Thalasseus sandvicensis (Latham, 1787), Strix aluco Linnaeus, 1758, Sylvia atricapilla (Linnaeus, 1758), Sylvia borin (Boddaert, 1783), Sylvia cantillans (Pallas, 1764), Sylvia communis Latham, 1787, Sylvia conspicillata Temminck, 1820, Sylvia hortensis (Gmelin, 1789), Sylvia melanocephala (Gmelin, 1789), Sylvia undata (Boddaert, 1783), Tachybaptus ruficollis (Pallas, 1764), Tachymarptis melba (Linnaeus, 1758), Tadorna ferruginea (Pallas, 1764), Tadorna tadorna (Linnaeus, 1758), Tetrao urogallus Linnaeus, 1758, Tetrax tetrax (Linnaeus, 1758), Tichodroma muraria (Linnaeus, 1766), Tringa erythropus (Pallas, 1764), Tringa glareola Linnaeus, 1758, Tringa nebularia (Gunnerus, 1767), Tringa ochropus Linnaeus, 1758, Tringa stagnatilis (Bechstein, 1803), Tringa totanus (Linnaeus, 1758), Troglodytes troglodytes (Linnaeus, 1758))",
 "Geometry POLYGON ((-14.93513 24.16483, -13.20808 24.16483, -3.139742 29.82368, -2.662047 32.21215, 11.22785 32.39588, 11.81578 33.86571, 45.03395 34.30666, 45.4749 42.97866, 31.95246 42.90517, 31.80548 71.71384, -10.52564 68.25974, -14.93513 24.16483))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 24977322 records from 7371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036976-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10622583
title: Taguan - NDVI (June 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 370 images taken on June 15 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.

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.10622584
title: Taguan - NDVI (June 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 370 images taken on June 15 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.

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.10622655
title: Taguan - NDVI (December 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 1452 images taken on December 6 2023, at 200 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 350UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.

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.10622654
title: Taguan - NDVI (December 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 1452 images taken on December 6 2023, at 200 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 350UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.

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: 10.15468/dl.x5bsdn
title: Occurrence Download

description: A dataset containing 13353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schefflera digitata"
 ]
}

 The dataset includes 13353 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000128-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qktgrz
title: Occurrence Download

description: A dataset containing 9880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aix galericulata"
 ]
}

 The dataset includes 9880 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000129-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10622672
title: Taguan - ENDVI (December 2023)

description: This orthomosaic of the Taguan site in Mangilao, Guam was created from 1452 images taken on December 6 2023, at 200 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 350UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.

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.