cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wgn8yg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sellulocalamus W.T.Lin"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303466-220831081235567/datasets/export for details.
DOI: 10.15468/dl.m492sr
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pezoporus occidentalis (Gould, 1861))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 86 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003181-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk5mc7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is ×Sasinaria Demoly"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303460-220831081235567/datasets/export for details.
DOI: 10.15468/dl.wdzaac
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxygonum buchananii (Dammer) Gillett"
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056613-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdy8ab
title: Occurrence Download

description: A dataset containing 20936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Callonetta leucophrys (Vieillot, 1816))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20936 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298442-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc26hx
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene paraguayensis Rudd"
 ]
}

 The dataset includes 16 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003156-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kffmzp
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinarundinaria Nakai"
 ]
}

 The dataset includes 54 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303472-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqcqca
title: Occurrence Download

description: A dataset containing 1635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turdoides gymnogenys (Hartlaub, 1865))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1635 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298446-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urfv7d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pertya yakushimensis H.Koyama & Nagam."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070808-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkkv29
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene patula Poir."
 ]
}

 The dataset includes 83 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003163-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11531319
title: P2PXML Dataset: Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity

description: In drug development, the efficacy of an antibody depends on how the antibody interacts with the target antigen. The strength of these interactions indicates how successful an antibody is in neutralizing an antigen. Therefore, the strength, measured by “binding affinity”, is a critical aspect of antibody engineering. In theory, the higher the binding affinity, the higher the chances are that the antibody is successful against the target antigen. Currently, techniques such as molecular docking and molecular dynamics are utilized in quantifying the binding affinity. However, owing to the computational complexity of the aforementioned techniques, running simulations for large antibodies/antigens remains a daunting task. Despite the commendable improvements in deep learning-based binding affinity prediction, such approaches are highly dependent on the quality of the antibody-antigen structures and they tend to overlook the importance of capturing the evolutionary details of proteins upon mutation. Further, most of the existing datasets for the task only include antibody-antigen pairs related to one antigen variant and, thus, are not suitable for developing comprehensive data-driven approaches. To circumvent the said complexities, we first curate the largest and most generalized datasets for antibody-antigen binding affinity prediction, consisting of both protein sequences and structures. Subsequently, we propose a deep geometric neural network comprising a structure-based model and a sequence-based model that considers both atomistic and evolutionary details when predicting the binding affinity. The proposed framework exhibited a 10% improvement in mean absolute error compared to the state-of-the-art models while showing a strong correlation between the predictions and target values. We release the datasets and code publicly https://drug-discovery-entc.github.io/p2pxml/ to support the development of antibody-antigen binding affinity prediction frameworks for the benefit of science and society.
DOI: 10.15468/dl.p7nz9r
title: Occurrence Download

description: A dataset containing 1990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Castanozoster thoracicus (Nordmann, 1835))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1990 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303461-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugq2kv
title: Occurrence Download

description: A dataset containing 58936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rallus elegans Audubon, 1834)",
 "HasCoordinate is one of (true)"
 ]
}

 The dataset includes 58936 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298440-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53ua73
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxygonum ellipticum R.A.Graham"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056617-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsx6ru
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "TaxonKey is Dendrophyllia ramea (Linnaeus, 1758)"
 ]
}

 The dataset includes 215 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003164-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3b4vr7
title: Occurrence Download

description: A dataset containing 104122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Styela clava Herdman, 1881, Callinectes sapidus Rathbun, 1896, Lagocephalus sceleratus (Gmelin, 1789), Mnemiopsis leidyi A.Agassiz, 1865, Rapana venosa (Valenciennes, 1846))"
 ]
}

 The dataset includes 104122 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022797-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk33fk
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Argyroderma delaetii Maass"
 ]
}

 The dataset includes 49 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056614-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeazcv
title: Occurrence Download

description: A dataset containing 14588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dicrurus remifer (Temminck, 1823))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14588 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298458-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahgf5t
title: Occurrence Download

description: A dataset containing 4398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypotaenidia sylvestris (P.L.Sclater, 1870))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4398 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003207-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ntsjr
title: Occurrence Download

description: A dataset containing 1719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centris varia (Erichson, 1848)"
 ]
}

 The dataset includes 1719 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022804-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87g6ty
title: Occurrence Download

description: A dataset containing 125647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-90.3899 39.17257,-90.52723 39.22933,-90.50892 39.42762,-90.9209 39.46297,-91.02161 39.39225,-90.9209 39.27895,-91.24134 39.27895,-91.33289 39.01625,-91.41529 38.89522,-91.45191 38.15031,-90.82935 38.15751,-90.69202 38.04223,-90.71949 37.60108,-90.28003 37.60834,-90.10608 37.57932,-90.06031 37.72429,-90.20679 37.73877,-90.36243 37.8473,-90.24341 37.94122,-90.32581 38.04223,-90.09693 38.04223,-89.97791 38.1791,-89.66663 38.1647,-89.63001 38.41621,-89.50184 38.44489,-89.32788 38.45923,-88.80603 38.43772,-88.67786 38.38033,-88.62293 38.85958,-89.19971 38.84532,-89.20887 39.05181,-89.56592 39.08735,-89.66663 39.00913,-89.63916 39.55479,-90.17933 39.54773,-90.17933 39.32854,-90.3899 39.17257))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 125647 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298418-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcbk6n
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxygonum gramineum R.A.Graham"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056618-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv8juw
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.80861 10.73369,-77.39437 9.27925,-77.68471 7.39209,-80.46873 6.5154,-83.70852 5.484,-83.51468 3.45371,-82.89453 1.38271,-77.73309 1.34349,-76.97051 2.30464,-71.94559 11.61711,-71.37945 11.71872,-70.94395 12.06712,-70.73551 15.60072,-70.86051 16.58219,-78.85094 16.90236,-81.98175 13.87016,-81.80861 10.73369))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutjanus jocu (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 141 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003171-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnddgs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinoarundinaria Ohwi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303474-220831081235567/datasets/export for details.
DOI: 10.15468/dl.q3nxac
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ajuga laxmannii (L.) Benth."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298448-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r56966
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxygonum sagittatum R.A.Graham"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056626-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe39h4
title: Occurrence Download

description: A dataset containing 41731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calyptorhynchus lathami (Temminck, 1807))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41731 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003169-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4t5jv
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ghana",
 "TaxonKey is Pycnanthus angolensis (Welw.) Exell"
 ]
}

 The dataset includes 184 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022801-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya5ngu
title: Occurrence Download

description: A dataset containing 76258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Iris foetidissima, Lupinus arboreus, Rubus cissburiensis, Rubus ulmifolius, Lycium ferocissimum, Passiflora edulis, Rubus laciniatus, Acacia longifolia, Carduus acanthoides, Arctium minus, Xanthium strumarium, Jacobaea vulgaris, Juncus gerardi, Osmunda regalis, Araujia sericifera, Ageratum houstonianum, Carex flacca, Aloe maculata, Calotis lappulacea, Carpobrotus edulis, Rumex hypogaeus, Hakea sericea, Oxalis pes-caprae, Solanum linnaeanum, Solanum marginatum, Solanum mauritianum, Tropaeolum majus, Watsonia meriana, Pteris cretica, Cenchrus longisetus, Acer pseudoplatanus, Betula pendula, Convolvulus arvensis, Onopordum acanthium, Quercus robur, Salix fragilis, Centranthus ruber, Cirsium arvense, Eschscholzia californica, Glaucium flavum, Leycesteria formosa, Melianthus major, Phalaris arundinacea, Berberis vulgaris, Cyperus rotundus, Hedera helix, Calamagrostis arenaria, Sagina procumbens, Carex divisa, Conium maculatum, Cytisus scoparius, Festuca rubra, Genista monspessulana, Glyceria fluitans, Humulus lupulus, Lathyrus latifolius, Ligustrum vulgare, Prunus avium, Ranunculus acris, Ribes uva-crispa, Stenotaphrum secundatum, Acaena agnipila, Cyperus eragrostis, Delairea odorata, Dipogon lignosus, Navarretia squarrosa, Acacia dealbata, Arctotheca calendula, Bromus tectorum, Canna indica, Osteospermum moniliferum, Echium vulgare, Hypericum androsaemum, Malva arborea, Paraserianthes lophantha, Polygala myrtifolia, Psoralea pinnata, Robinia pseudoacacia, Urtica dioica, Vinca major, Vitis vinifera, Zantedeschia aethiopica, Agave americana, Asphodelus fistulosus, Hypericum perforatum, Silybum marianum, Agrostis capillaris, Alocasia brisbanensis, Bellis perennis, Cirsium vulgare, Dactylis glomerata, Datura stramonium, Digitalis purpurea, Foeniculum vulgare, Leucanthemum vulgare)",
 "Year 2010-2025"
 ]
}

 The dataset includes 76258 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018632-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nabrz
title: Occurrence Download

description: A dataset containing 62837 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maculinea arion"
 ]
}

 The dataset includes 62837 records from 829 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018621-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17537483
title: Innovative Multidisciplinary Framework for Enhancing Precision, Rigor, and Experimental Applicability in Scientific Research

description: In the contemporary landscape of scientific inquiry, the reproducibility crisis and the persistent gap between theoretical conceptualizations and experimental validations pose significant challenges to advancing knowledge across disciplines. This paper introduces the **Precision Enhancement Framework for Scientific Inquiry (PEFSI)**, a novel multidisciplinary conceptual toolset that uniquely integrates advanced mathematical modeling, sensitivity analysis, uncertainty quantification, and falsifiability protocols through a **self-referential verifiability mechanism**.  

This self-referential approach allows the framework to internally validate its own predictions, distinguishing PEFSI from existing methods by enabling recursive self-improvement akin to emerging self-referential AI agents. Drawing from physics, chemistry, biology, medicine, engineering, and pharmacology, PEFSI employs rigorous derivations, reproducible simulations, and statistical validations to ensure that theoretical models achieve experimental precision.  

Through deeply branched reasoning that incorporates multi-faceted sensitivity analyses and uncertainty propagation, we demonstrate PEFSI’s applicability via a simulated multidisciplinary model of drug kinetics influenced by physical and biological parameters. Results indicate enhanced predictive accuracy with quantified uncertainties, supported by sensitivity metrics and falsifiability criteria.  

This framework not only bridges theoretical-experimental divides but also fosters self-contained, verifiable research paradigms, evidenced by recent advancements in uncertainty quantification and sensitivity analysis.
DOI: 10.5281/zenodo.17537484
title: Innovative Multidisciplinary Framework for Enhancing Precision, Rigor, and Experimental Applicability in Scientific Research

description: In the contemporary landscape of scientific inquiry, the reproducibility crisis and the persistent gap between theoretical conceptualizations and experimental validations pose significant challenges to advancing knowledge across disciplines. This paper introduces the **Precision Enhancement Framework for Scientific Inquiry (PEFSI)**, a novel multidisciplinary conceptual toolset that uniquely integrates advanced mathematical modeling, sensitivity analysis, uncertainty quantification, and falsifiability protocols through a **self-referential verifiability mechanism**.  

This self-referential approach allows the framework to internally validate its own predictions, distinguishing PEFSI from existing methods by enabling recursive self-improvement akin to emerging self-referential AI agents. Drawing from physics, chemistry, biology, medicine, engineering, and pharmacology, PEFSI employs rigorous derivations, reproducible simulations, and statistical validations to ensure that theoretical models achieve experimental precision.  

Through deeply branched reasoning that incorporates multi-faceted sensitivity analyses and uncertainty propagation, we demonstrate PEFSI’s applicability via a simulated multidisciplinary model of drug kinetics influenced by physical and biological parameters. Results indicate enhanced predictive accuracy with quantified uncertainties, supported by sensitivity metrics and falsifiability criteria.  

This framework not only bridges theoretical-experimental divides but also fosters self-contained, verifiable research paradigms, evidenced by recent advancements in uncertainty quantification and sensitivity analysis.
DOI: 10.1184/r1/30500090
title: Data from "Compact deep neural network models of visual cortex"

description: This contains data and code associated with the paper "Compact deep neural network models of visual cortex"