cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/v80w-ds77
title: Is Aruttas vertebrate fauna dataset

description: Raw data for the Is Aruttas 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/h9s4-fy83
title: Wierzchołek testate amoebae surface sample dataset

description: Raw data for the Wierzchołek 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/q70d-dh03
title: Dickison Mound 478 vertebrate fauna dataset

description: Raw data for the Dickison Mound 478 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/fxex-5q25
title: Little Green Valley Meadow pollen dataset

description: Raw data for the Little Green Valley Meadow 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/xnqb-hh96
title: Krieder Reservoir pollen surface sample dataset

description: Raw data for the Krieder Reservoir 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: 10.15468/dl.vfhr35
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.12_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trioceros jacksonii (Boulenger, 1896)"
 ]
}

 The dataset includes 829 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021845-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28844009
title: Marsh (2025) dataset

description: Final dataset of femora measurements of silesaurid and coelophysoid specimens.
DOI: 10.21233/cpm6-8666
title: Alkaline Pond ostracode surface sample dataset

description: Raw data for the Alkaline Pond 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: 10.4121/916a97de-3bc0-4c8e-ba0d-e8ba683ce808.v3
title: Ziezo Tool as Part of the Engineering Doctorate Thesis: Window-integrated Bifacial PV Coupled with Solar Shading: A Multi-Parameter Model and Tool to Evaluate Daylight and Energy Performance

description: Ziezo tool is an application that captures the daylight and energy performance of Ziezo Window systems. The tool has been developed as part of the Engineering Doctorate thesis: "Window-integrated Bifacial PV Coupled with Solar Shading: A Multi-Parameter Model and Tool to Evaluate Daylight and Energy Performance". The thesis and work have been carried out by Mina Ishac, within the Chair of Building Performance Group in the Building Physics and Services Unit at Eindhoven University of Technology. This tool captures the daylight and energy performance of Ziezo Window systems, adapted to dynamic climatic conditions, window sizes and orientations. It aims to be informative, user-friendly and interactive. The tool, furthermore, captures the momentarily and annual daylight in light of solar radiation profiles of Eindhoven in the Netherlands to better understand the dynamic climatic conditions that affect lighting levels. The tool presents monthly and annual energy consumptions, and provides insights into the optical and thermal properties of Ziezo window. The tool retrieves simulation data, performs basic analysis on the data, and then presents this data to the user. The tool was designed in Visual Basic for Applications (VBA) for Pilkington Nederland B.V. as the target end-user of the tool. An overview of all Ziezo cases in the tool, explanation of detailed functions, inputs, key performance indicators of the outputs, boundary conditions of the model, use cases can be found in the resources below for: 1) Engineering Doctorate thesis, and 2) demonstration video of the tool.<br>Resources:1- Engineering Doctorate open-access thesis (TU Eindhoven, March 2025):[https://research.tue.nl/nl/publications/window-integrated-bifacial-pv-coupled-with-solar-shading-a-multi-]2- Ziezo Tool Demonstration Video: [https://www.youtube.com/watch?v=LPNbGK-TljI]<br>
DOI: 10.15468/dl.qnzdbv
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.15773 19.8889,-90.14702 15.52216,-82.13429 8.49197,-78.44208 8.9486,-76.2046 6.67378,-62.60459 5.38997,-56.58898 -23.4394,-28 -23.4394,-28 22.46362,-72.71495 23.4394,-83.69455 23.4394,-102.28518 23.4394,-102.15773 19.8889))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Octopus insularis Leite & Haimovici, 2008"
 ]
}

 The dataset includes 585 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021847-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15364606
title: Boundary Candidates Generated by the SETBVE Framework for Integer-Input SUTs

description: This dataset contains boundary candidates generated using the SETBVE framework for automated boundary value exploration. The data covers 10 software under test (SUTs), each accepting integer inputs and varying in behavior. The boundary candidates were discovered by SETBVE’s search process, which applies Quality-Diversity (QD) optimization to uncover input pairs that highlight behavioral transitions in the tested programs. 

For implementation details and replication instructions, please refer to the GitHub repository: https://github.com/aksabina/SETBVE/tree/main
DOI: 10.7274/28781894
title: Identification and Quantification of Amino Acid Substitutions in Bottom-up Proteomics

description: An amino acid substitution is a change in the amino acid (aa) sequence that composes a protein. Even changing one amino acid can alter the function and stability of the protein. To preserve protein function, there are many cellular mechanisms that ensure protein synthesis is faithful to the genome-defined sequence. Studying these mechanisms is difficult because proteins with substituted aa sequences are in a complex mixture with proteins adhering to the genome-defined sequence. A tool to measure a complex mixture of proteins is bottom-up proteomics (BUP). The standard BUP methodology extracts proteins, digests proteins into peptides, and measures peptides with liquid chromatography mass spectrometry. However, identifying the measured peptides in BUP relies on matching genome-defined sequences. Therefore, an adaptation to BUP is needed to successfully measure aa substitutions.
I attempted to study all proteins that deviate from the genome-defined aa sequence. I found that data processing tools being developed to identify peptides with chemical modifications to aa could be adapted to identify single aa substitutions in bottom-up proteomics and determined the limitations of the bioinformatic analysis process. The identification of aa substitutions specifically is improving with the general progress of peptide identification tools. Substitutions that accumulate in vivo are effectively measured with BUP. However, many aa substitutions were observed to have a survivorship bias, where the incidence of substitutions is different than the observed abundance of substitutions. These substitutions are only observed under conditions increasing substitution incidence, reducing degradation, or by specific enrichment of nascent peptides. I further used bottom-up proteomics to validate known determinants of substitution abundance and model their relative contributions. These key findings on how aa substitutions are measured define the scope of testable hypotheses and variables to consider in experimental designs.
DOI: 10.7274/28781894.v1
title: Identification and Quantification of Amino Acid Substitutions in Bottom-up Proteomics

description: An amino acid substitution is a change in the amino acid (aa) sequence that composes a protein. Even changing one amino acid can alter the function and stability of the protein. To preserve protein function, there are many cellular mechanisms that ensure protein synthesis is faithful to the genome-defined sequence. Studying these mechanisms is difficult because proteins with substituted aa sequences are in a complex mixture with proteins adhering to the genome-defined sequence. A tool to measure a complex mixture of proteins is bottom-up proteomics (BUP). The standard BUP methodology extracts proteins, digests proteins into peptides, and measures peptides with liquid chromatography mass spectrometry. However, identifying the measured peptides in BUP relies on matching genome-defined sequences. Therefore, an adaptation to BUP is needed to successfully measure aa substitutions.
I attempted to study all proteins that deviate from the genome-defined aa sequence. I found that data processing tools being developed to identify peptides with chemical modifications to aa could be adapted to identify single aa substitutions in bottom-up proteomics and determined the limitations of the bioinformatic analysis process. The identification of aa substitutions specifically is improving with the general progress of peptide identification tools. Substitutions that accumulate in vivo are effectively measured with BUP. However, many aa substitutions were observed to have a survivorship bias, where the incidence of substitutions is different than the observed abundance of substitutions. These substitutions are only observed under conditions increasing substitution incidence, reducing degradation, or by specific enrichment of nascent peptides. I further used bottom-up proteomics to validate known determinants of substitution abundance and model their relative contributions. These key findings on how aa substitutions are measured define the scope of testable hypotheses and variables to consider in experimental designs.
DOI: 10.21233/rmxd-nk82
title: Hurricane Island [ElTb-1] macroinvertebrate dataset

description: Raw data for the Hurricane Island [ElTb-1] macroinvertebrate 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/zj81-2v54
title: Fairlee diatom bottom sample dataset

description: Raw data for the Fairlee diatom bottom 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/a4fj-ds52
title: HU90-031-019 dinoflagellates dataset

description: Raw data for the HU90-031-019 dinoflagellates 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/ppn9-fn44
title: Santa Cruz vertebrate fauna dataset

description: Raw data for the Santa Cruz 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/p6fy-5g06
title: Lake Banyoles pollen dataset

description: Raw data for the Lake Banyoles 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/g281-e054
title: Nootdorp-Driemanspolder pollen dataset

description: Raw data for the Nootdorp-Driemanspolder 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/pe72-hp80
title: Indian Tom Lake water chemistry dataset

description: Raw data for the Indian Tom 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: 10.15468/dl.ncr4gw
title: Occurrence Download

description: A dataset containing 1412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Brycinus macrolepidotus Valenciennes, 1850"
 ]
}

 The dataset includes 1412 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021849-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/039t-qc88
title: Beetskoog pollen dataset

description: Raw data for the Beetskoog 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.te7gsz
title: Occurrence Download

description: A dataset containing 1632 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Collection of Vascular Plants (DAO)"
 ]
}

 The dataset includes 1632 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021850-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/yjnh-aw06
title: Clover Bar [FjPh-VP-2] vertebrate fauna dataset

description: Raw data for the Clover Bar [FjPh-VP-2] 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: 10.21233/5x96-es29
title: Wirth Lake diatom surface sample dataset

description: Raw data for the Wirth 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/k6kg-p791
title: Chlebowo testate amoebae surface sample dataset

description: Raw data for the Chlebowo 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/x44w-f454
title: Bayley water chemistry dataset

description: Raw data for the Bayley 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/e62b-dt81
title: Larsen Bay [KAR-00029] vertebrate fauna dataset

description: Raw data for the Larsen Bay [KAR-00029] 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: 10.15468/dl.r6y55p
title: Occurrence Download

description: A dataset containing 99727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 {
 "or" : [
 "Geometry POLYGON((95.20157 39.41339,95.9887 39.7656,96.25954 39.59624,97.79994 39.41339,99.15414 39.08568,99.23878 39.53099,102.11645 38.87514,104.28317 37.18187,104.791 36.24559,105.09569 36.50454,105.26497 37.12791,105.70508 38.3726,106.11134 39.29559,108.37963 40.12896,110.24166 40.74737,113.25475 41.96707,113.93185 42.94122,114.81208 44.81995,113.39017 45.89046,111.39273 46.54634,107.73638 46.35974,104.89256 45.98464,102.42115 44.79593,101.38011 44.27709,100.4237 44.20433,98.9764 44.10718,98.02846 44.55518,97.19901 45.00576,96.99588 45.36368,96.3611 45.74889,95.39623 45.70754,94.84609 45.50029,95.43855 44.85596,96.18336 44.30133,96.06487 42.56834,94.57525 41.14373,95.20157 39.41339))",
 "Geometry POLYGON((103.67372 28.58949,103.47387 27.70845,104.32323 25.48984,105.93867 24.64507,108.25358 24.93234,110.13549 25.58,111.65101 27.79688,112.51702 29.92615,111.45116 31.04556,108.85313 31.13113,107.45419 29.92615,106.18848 29.21641,105.00605 28.82321,103.67372 28.58949))",
 "Geometry POLYGON((130.72274 53.06003,128.55779 53.18811,124.62428 54.02035,121.7885 53.75077,120.84324 52.46962,119.86749 51.53103,120.47734 50.51454,121.20915 49.92927,121.819 49.39637,121.11767 48.77732,119.92848 47.33033,119.92848 46.49719,121.27014 46.51817,121.91047 47.06098,122.94721 48.39408,124.53281 49.17759,125.17315 50.10561,126.5453 50.06648,127.49056 50.32025,126.57579 52.11527,127.97843 52.43246,129.2896 52.04031,130.72274 51.73921,130.78372 52.71044,130.72274 53.06003))",
 "Geometry POLYGON((103.59482 28.26495,103.11539 27.94073,103.14736 28.91045,102.57204 29.18986,102.1885 28.92444,101.90084 28.50397,101.56524 28.2368,101.45338 27.77118,100.97395 27.28935,101.08581 26.91948,99.00829 26.40534,99.10418 25.67305,99.55164 24.96522,100.03107 24.41346,100.43059 24.19499,100.55844 24.47165,100.79816 24.64607,101.1817 24.31155,101.56524 23.68377,102.23644 23.31739,103.35511 23.09707,104.68153 23.02355,105.92804 23.14116,106.82297 23.6545,106.58326 24.31155,106.35953 24.68964,105.92804 24.63155,104.32995 25.48566,103.45099 27.70045,103.59482 28.26495))"
 ]
 },
 "Month is one of (April, May, June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 {
 "or" : [
 "Year 1981-1999",
 "Year 2016-2025"
 ]
 }
 ]
}

 The dataset includes 99727 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021806-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.japqsa
title: Occurrence Download

description: A dataset containing 2073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.12_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lissachatina fulica (Bowdich, 1822)"
 ]
}

 The dataset includes 2073 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021851-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13eurnp
title: Grass Carp (Ctenopharyngodon idella) egg capture data from Great Lakes tributaries, 2014 & 2023-2024

description: The data includes dates, places, and times of sampling events for eggs of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to the Great Lakes in 2014, 2023 and 2024. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables.
DOI: 10.21233/g5m2-3h36
title: LDDsite6168 ostracode surface sample dataset

description: Raw data for the LDDsite6168 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/ac0x-ac68
title: Trout Peatland G testate amoebae surface sample dataset

description: Raw data for the Trout Peatland G 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.