cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18511255
title: Maria Schefter Farm (LiDAR) February 5 2026

description: This orthomosaic of Yona, Guam was created from 142 images taken on February 5 2026, at 100ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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.18512337
title: Maria Schefter Farm (LiDAR) February 5 2026

description: This orthomosaic of Yona, Guam was created from 142 images taken on February 5 2026, at 100ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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: 10.25549/whit-c170-4969
title: dw_Volume69
DOI: 10.25549/whit-c170-4516
title: dw_Volume62
DOI: 10.25549/whit-c170-4680
title: dw_Volume64
DOI: 10.6084/m9.figshare.31346185
title: Identification and validation of gene markers for early detection and prognosis in colorectal cancer: a comprehensive RNA-seq based approach

description: Reliable molecular biomarkers are urgently needed for early diagnosis of colorectal cancer (CRC). This study aimed to identify and validate a robust diagnostic gene signature using integrated transcriptomic analysis. Eleven public gene expression datasets published between 2014 and 2024 were combined, including 329 CRC samples and 48 normal controls. Batch effects were corrected using the COMBAT algorithm. Differentially expressed genes (DEGs) were identified and subjected to Gene Ontology, KEGG, and REACTOME enrichment analyses. A protein–protein interaction network was constructed to screen hub genes. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis and a disease risk score (DRS), followed by external validation in independent cohorts. A total of 1,101 DEGs were identified, including 544 upregulated and 557 downregulated genes. Functional enrichment analysis indicated that upregulated genes were mainly involved in extracellular matrix organization and inflammatory signaling, whereas downregulated genes were associated with transport and metal ion homeostasis. A ten-gene signature was established. The DRS demonstrated strong diagnostic performance in the pooled dataset (AUC = 0.96) and in external validation cohorts (AUC = 0.985). Stage-stratified analysis confirmed robust discrimination across all CRC stages, including early disease. This integrative analysis identified a stable ten-gene diagnostic signature with potential clinical utility for CRC detection. The identified gene markers, including IL-6, ALB, and CXCL8, exhibit strong diagnostic and prognostic potential in colorectal cancer. Their integration into multi-gene diagnostic models may enable earlier detection of precancerous lesions and improve risk stratification in clinical settings. These biomarkers could guide personalized therapeutic interventions, enhancing treatment precision and patient outcomes. Moreover, their non-invasive detectability offers promise for routine screening and monitoring, supporting the transition toward precision oncology in colorectal cancer management.
DOI: 10.6084/m9.figshare.31346185.v2
title: Identification and validation of gene markers for early detection and prognosis in colorectal cancer: a comprehensive RNA-seq based approach

description: Reliable molecular biomarkers are urgently needed for early diagnosis of colorectal cancer (CRC). This study aimed to identify and validate a robust diagnostic gene signature using integrated transcriptomic analysis. Eleven public gene expression datasets published between 2014 and 2024 were combined, including 329 CRC samples and 48 normal controls. Batch effects were corrected using the COMBAT algorithm. Differentially expressed genes (DEGs) were identified and subjected to Gene Ontology, KEGG, and REACTOME enrichment analyses. A protein–protein interaction network was constructed to screen hub genes. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis and a disease risk score (DRS), followed by external validation in independent cohorts. A total of 1,101 DEGs were identified, including 544 upregulated and 557 downregulated genes. Functional enrichment analysis indicated that upregulated genes were mainly involved in extracellular matrix organization and inflammatory signaling, whereas downregulated genes were associated with transport and metal ion homeostasis. A ten-gene signature was established. The DRS demonstrated strong diagnostic performance in the pooled dataset (AUC = 0.96) and in external validation cohorts (AUC = 0.985). Stage-stratified analysis confirmed robust discrimination across all CRC stages, including early disease. This integrative analysis identified a stable ten-gene diagnostic signature with potential clinical utility for CRC detection. The identified gene markers, including IL-6, ALB, and CXCL8, exhibit strong diagnostic and prognostic potential in colorectal cancer. Their integration into multi-gene diagnostic models may enable earlier detection of precancerous lesions and improve risk stratification in clinical settings. These biomarkers could guide personalized therapeutic interventions, enhancing treatment precision and patient outcomes. Moreover, their non-invasive detectability offers promise for routine screening and monitoring, supporting the transition toward precision oncology in colorectal cancer management.
DOI: 10.25549/whit-c170-4953
title: dw_Volume68
DOI: 10.6084/m9.figshare.31346185.v1
title: Identification and Validation of Gene Markers for Early Detection and Prognosis in Colorectal Cancer: A Comprehensive RNA-Seq Based Approach

description: Reliable molecular biomarkers are needed for early diagnosis of colorectal cancer (CRC). This study aimed to identify and validate a robust diagnostic gene signature for CRC using transcriptomic analysis. Eleven public gene expression datasets published between 2014 and 2024 were integrated, including 329 CRC samples and 48 normal controls. Batch effects were corrected using the COMBAT algorithm. Differentially expressed genes (DEGs) were identified, followed by Gene Ontology, KEGG, and REACTOME enrichment analyses. A protein–protein interaction network was constructed to screen hub genes. Diagnostic performance was evaluated using receiver operating characteristic analysis and a disease risk score (DRS). External validation was conducted in independent cohorts. In total, 1,101 DEGs were identified, comprising 544 upregulated and 557 downregulated genes. Upregulated DEGs were enriched in extracellular matrix organization and inflammatory signaling, whereas downregulated DEGs were associated with transport and metal ion–related functions. Ten hub genes were identified. The DRS demonstrated excellent diagnostic performance in the pooled dataset (AUC = 0.96). External validation confirmed high accuracy (AUC = 0.985). Stage-stratified analysis showed robust discrimination across all CRC stages, including early disease. This integrative analysis identified a stable ten-gene diagnostic signature with strong accuracy and clinical potential. The identified gene markers, including IL-6, ALB, and CXCL8, exhibit strong diagnostic and prognostic potential in colorectal cancer. Their integration into multi-gene diagnostic models may enable earlier detection of precancerous lesions and improve risk stratification in clinical settings. These biomarkers could guide personalized therapeutic interventions, enhancing treatment precision and patient outcomes. Moreover, their non-invasive detectability offers promise for routine screening and monitoring, supporting the transition toward precision oncology in colorectal cancer management.
DOI: 10.25549/whit-c170-4956
title: dw_Volume68
DOI: 10.25549/whit-c170-4961
title: dw_Volume68
DOI: 10.5281/zenodo.18499912
title: Maria Schefter Farm (RGB) February 5 2026

description: This orthomosaic of Yona, Guam was created from 72 images taken on February 5 2026, at 100ft AGL, with a DJI Matrice 350 . 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): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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.18499911
title: Maria Schefter Farm (RGB) February 5 2026

description: This orthomosaic of Yona, Guam was created from 72 images taken on February 5 2026, at 100ft AGL, with a DJI Matrice 350 . 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): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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: 10.25549/whit-c170-4962
title: dw_Volume68
DOI: 10.25549/whit-c170-4963
title: dw_Volume68
DOI: 10.25549/whit-c170-4972
title: dw_Volume69
DOI: 10.25549/whit-c170-4978
title: dw_Volume69
DOI: 10.25549/whit-c170-5486
title: dw_Volume74
DOI: 10.15468/dl.z5ammh
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",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Pentapodus vitta"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-260226173443078/datasets/export for details.
DOI: 10.25549/rbm-ouc111376376
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.5281/zenodo.18529402
title: Maria Schefter Farm (NDVI) February 5 2026

description: This orthomosaic of Yona, Guam was created from 200 images taken on February 5 2026, at 100ft AGL, with a DJI Mavic 3 Multispectral. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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.18529403
title: Maria Schefter Farm (NDVI) February 5 2026

description: This orthomosaic of Yona, Guam was created from 200 images taken on February 5 2026, at 100ft AGL, with a DJI Mavic 3 Multispectral. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
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. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

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: 10.25549/rbm-ouc111376399
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376404
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376373
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376403
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376428
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376365
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376401
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-ouc111376407
title: Album arqueologico Mexicano, II

description: Album de fotografías de monumentos arqueológicos pre-Hispanicos para the University of Southern California. [s.l.: s.n., 19--]. Tomo II. "Al Doctor Rufus B. Von Kleinsmid, Presidente de The University of Southern California, cortesía de los Ferrocarriles nacionales de México." -- cover of Tomo I.
DOI: 10.25549/rbm-m850
title: Old Mexico, 1896

description: Cover title. Mounted photographs. Photographs attributed to Charles Burlingame Waite. A vintage photographic album, with captions in English, likely designed as a souvenir book or promotional item for an American clientele.
DOI: 10.15468/dl.c44y5s
title: Occurrence Download

description: A dataset containing 7698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Thryptomene"
 ]
}

 The dataset includes 7698 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000971-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-4970
title: dw_Volume69
DOI: 10.25549/whit-c170-4975
title: dw_Volume69
DOI: 10.25549/whit-c170-5337
title: dw_Volume72
DOI: 10.25549/whit-c170-5419
title: dw_Volume73
DOI: 10.25549/whit-c170-5498
title: dw_Volume74