cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/5edm-jj18
title: Silver Lake diatom surface sample dataset

description: Raw data for the Silver Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/j9as-rt69
title: Borkovická blata pollen dataset

description: Raw data for the Borkovická blata pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/b9f6-4h84
title: Arnott Lake ostracode surface sample dataset

description: Raw data for the Arnott Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ptmz-gp38
title: St. Lawrence River water chemistry dataset

description: Raw data for the St. Lawrence River water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.fu65ag
title: Occurrence Download

description: A dataset containing 22243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Iowa State University Herbarium, Pl@ntNet automatically identified occurrences)",
 "GadmGid is USA.16_1",
 "Geometry POLYGON((-96.86724 43.85534,-97.889 43.47457,-97.33168 42.7513,-95.72163 42.11142,-92.62538 42.70581,-93.83291 43.85534,-96.86724 43.85534))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 22243 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022185-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/w03f-sr85
title: Fresh Pond pollen dataset

description: Raw data for the Fresh Pond pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.ed6sr6
title: Occurrence Download

description: A dataset containing 13066 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Entomológico Francisco Luis Gallego UNAL-MED"
 ]
}

 The dataset includes 13066 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022186-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/txpr-cb18
title: Lone Star Lake pollen dataset

description: Raw data for the Lone Star Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xvtc-bd91
title: B94-73 diatom surface sample dataset

description: Raw data for the B94-73 diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.mbwrcv
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Schilbe mandibularis (Günther, 1867)"
 ]
}

 The dataset includes 268 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022187-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/7rbz-8526
title: NICHOL25 pollen surface sample dataset

description: Raw data for the NICHOL25 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/a808-vw19
title: Kichikol Juniperus-forest 4 pollen surface sample dataset

description: Raw data for the Kichikol Juniperus-forest 4 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4n8r-mh40
title: Burnt Village testate amoebae surface sample dataset

description: Raw data for the Burnt Village testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/z848-2w45
title: Yaeyama District ostracode surface sample dataset

description: Raw data for the Yaeyama District ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.sewccb
title: Occurrence Download

description: A dataset containing 237712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus serotina Ehrh.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 237712 records from 771 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022181-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/qqd6-6g92
title: Longwood Lake water chemistry dataset

description: Raw data for the Longwood Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/76n3-br37
title: MIR32 pollen surface sample dataset

description: Raw data for the MIR32 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/t604-cp26
title: LDDsite92 water chemistry dataset

description: Raw data for the LDDsite92 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9xp0-dk95
title: LDDsite4535 water chemistry dataset

description: Raw data for the LDDsite4535 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/q7qh-ge27
title: Okanagan Creek water chemistry dataset

description: Raw data for the Okanagan Creek water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/cbps-e713
title: Deadman's Lake diatom surface sample dataset

description: Raw data for the Deadman's Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/zfgp-3615
title: Shinumo Creek [7337] vertebrate fauna dataset

description: Raw data for the Shinumo Creek [7337] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ntn8-z110
title: Lake Biwa, North Basin ostracode surface sample dataset

description: Raw data for the Lake Biwa, North Basin ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ms50-hy62
title: Les Pontins testate amoebae surface sample dataset

description: Raw data for the Les Pontins testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15132758
title: Data & Code for Network influence determines the impact of cortical ensembles on stimulus detection

description: Data and code for Network influence determines the impact of cortical ensembles on stimulus detection Bounds & Adesnik 2025
DOI: 10.5281/zenodo.15132759
title: Data & Code for Network influence determines the impact of cortical ensembles on stimulus detection

description: Data and code for Network influence determines the impact of cortical ensembles on stimulus detection Bounds & Adesnik 2025
DOI: 10.21233/kyr0-wr51
title: Santmargats ostracode surface sample dataset

description: Raw data for the Santmargats ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.dknmrh
title: Occurrence Download

description: A dataset containing 3927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tamarix aphylla (L.) H.Karst.",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 3927 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022189-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/f28p-0n61
title: LDDsite1828 water chemistry dataset

description: Raw data for the LDDsite1828 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28965941
title: Integrating transcriptomics with disease–gene network and identification of EGFR kinase target: inhibitor discovery through virtual screening of natural compounds for brain cancer therapy

description: Brain cancer represents a highly aggressive malignant tumor with a challenging prognosis and limited treatment options. Employing advanced analytical methods, including Kinase Enrichment Analysis and Disease-Gene Network integration, the research identifies EGFR as a crucial therapeutic target for brain cancer. EGFR, a key player in cellular functions and elevated in various cancers, particularly brain cancer, is targeted using small molecule inhibitors like erlotinib and gefitinib. Despite promising results, challenges such as drug resistance and adverse effects necessitate exploration of alternative therapies. Natural compounds show significant potential for cancer with minimal associated toxicity. Thus, the natural compounds database was explored for EGFR kinase inhibitors. Utilizing molecular docking and dynamic simulation, our study identified five natural compounds—citicoline, silodosin, picroside I, canertinib, and tauroursodeoxycholic acid—as potential EGFR kinase inhibitors. Detailed exploration of their binding attributes, including pose, interacting residues, molecular interactions, dynamic behavior, and predicted binding energy, along with comparisons to the native inhibitor, underscored their potential. Notably, among the five natural compounds screened, canertinib is a known covalent inhibitor of EGFR kinase. However, its specific binding pose remains unexplored. Thus, to uncover the precise binding orientation, covalent docking simulation for canertinib was conducted. Additionally, it is noteworthy that all the five proposed compounds predicted to penetrate the blood-brain barrier, meeting the essential criteria for reaching brain. We anticipate that this study will provide valuable leads for experimental testing in the laboratory, advancing the prospects of brain cancer management.
DOI: 10.6084/m9.figshare.28965941.v1
title: Integrating transcriptomics with disease–gene network and identification of EGFR kinase target: inhibitor discovery through virtual screening of natural compounds for brain cancer therapy

description: Brain cancer represents a highly aggressive malignant tumor with a challenging prognosis and limited treatment options. Employing advanced analytical methods, including Kinase Enrichment Analysis and Disease-Gene Network integration, the research identifies EGFR as a crucial therapeutic target for brain cancer. EGFR, a key player in cellular functions and elevated in various cancers, particularly brain cancer, is targeted using small molecule inhibitors like erlotinib and gefitinib. Despite promising results, challenges such as drug resistance and adverse effects necessitate exploration of alternative therapies. Natural compounds show significant potential for cancer with minimal associated toxicity. Thus, the natural compounds database was explored for EGFR kinase inhibitors. Utilizing molecular docking and dynamic simulation, our study identified five natural compounds—citicoline, silodosin, picroside I, canertinib, and tauroursodeoxycholic acid—as potential EGFR kinase inhibitors. Detailed exploration of their binding attributes, including pose, interacting residues, molecular interactions, dynamic behavior, and predicted binding energy, along with comparisons to the native inhibitor, underscored their potential. Notably, among the five natural compounds screened, canertinib is a known covalent inhibitor of EGFR kinase. However, its specific binding pose remains unexplored. Thus, to uncover the precise binding orientation, covalent docking simulation for canertinib was conducted. Additionally, it is noteworthy that all the five proposed compounds predicted to penetrate the blood-brain barrier, meeting the essential criteria for reaching brain. We anticipate that this study will provide valuable leads for experimental testing in the laboratory, advancing the prospects of brain cancer management.
DOI: 10.21233/nt8s-av44
title: Lake Couchiching water chemistry dataset

description: Raw data for the Lake Couchiching water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/94c1-ej41
title: ALTAKR57 pollen surface sample dataset

description: Raw data for the ALTAKR57 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21227/b7hf-de49
title: "Cross-Domain Deception Dataset"

description: "The Cross-Domain Deception Dataset (CD3) contains frame-level features extracted from video data using OpenFace and OpenPose to support research in deception detection through facial expressions, facial action units, body and hand gestures, and gaze coordinates. Using a commercial off-the-shelf laptop and Microsoft Teams, we collected video data of 45 participants completing mock interviews where they answered questions related to biographical information, academic success, and well-being across two sessions. The dataset includes features from 1270 truthful and 587 deceptive clips of participant responses to interview questions. CD3 enables future research exploration to inform the development of robust deception models for accurate deception detection in novel domains such as well-being. "
DOI: 10.21233/7neh-6z05
title: Mud Lake (Ho) diatom surface sample dataset

description: Raw data for the Mud Lake (Ho) diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/x1fn-0n24
title: Reflection Lake A water chemistry dataset

description: Raw data for the Reflection Lake A water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fa3g-kn56
title: Kentucky Lake diatom dataset

description: Raw data for the Kentucky Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/h5e3-0380
title: Daniktco [FdSi-3] vertebrate fauna dataset

description: Raw data for the Daniktco [FdSi-3] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/49h3-x324
title: LDDsite2218 water chemistry dataset

description: Raw data for the LDDsite2218 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.34740/kaggle/dsv/11737589
title: Balochi Language to English Translation Dataset
DOI: 10.21233/4dww-kd45
title: Bubbling Spring ostracode surface sample dataset

description: Raw data for the Bubbling Spring ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/e73s-dg13
title: Big Gibson Lake water chemistry dataset

description: Raw data for the Big Gibson Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/q8ra-eg25
title: Puslinch Lake ostracode surface sample dataset

description: Raw data for the Puslinch Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qq6r-4w58
title: Sterling testate amoebae surface sample dataset

description: Raw data for the Sterling testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.edby3n
title: Occurrence Download

description: A dataset listing the 8900 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset's 8900 records were derived from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022188-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.