cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15399223
title: Evaluation of a Generalized Least Squares Algorithm for Infrasound Beamforming with Coherent Background Noise [Dataset]

description: This dataset contains infrasound waveforms to accompany the peer-reviewed manuscript “Evaluation of a Generalized Least Squares Algorithm for Infrasound Beamforming with Coherent Background Noise” submitted for publication in the journal Geophysical Journal International by Jordan W. Bishop, Philip Blom, and Jeremy Webster. It contains the infrasound data used to create Figures 8 and 9 in the manuscript. Results using this data have previously been published as Blom (2019) and Blom (2024), for example, and we seek to release this data publicly for compliance with the journal’s Data Availability section. Seven of the waveform files contain infrasound recordings of the 2016 Forensic Surface Experiment recorded at a LANL infrasound array in St. George, UT, USA. The other ten recordings are of a 2020 bolide recorded at the International Monitoring System array I37NO in Norway.

LA-UR-25-24644

Bishop, J.W., Blom, P., and Webster, J. “Evaluation of a Generalized Least Squares Algorithm for InfrasoundBeamforming with Coherent Background Noise”. In: Geophysical Journal International (in review). 

Philip Blom; Modeling infrasonic propagation through a spherical atmospheric layer—Analysis of the stratospheric pair. J. Acoust. Soc. Am. 1 April 2019; 145 (4): 2198–2208. https://doi.org/10.1121/1.5096855

Philip Blom, Christine Gammans, Brent Delbridge, Joshua D. Carmichael; Prediction of regional infrasound produced by supersonic sources using a ray-based Mach cone source. J. Acoust. Soc. Am. 1 March 2024; 155 (3): 1667-1681. https://doi.org/10.1121/10.0025025
DOI: 10.5281/zenodo.15399224
title: Evaluation of a Generalized Least Squares Algorithm for Infrasound Beamforming with Coherent Background Noise [Dataset]

description: This dataset contains infrasound waveforms to accompany the peer-reviewed manuscript “Evaluation of a Generalized Least Squares Algorithm for Infrasound Beamforming with Coherent Background Noise” submitted for publication in the journal Geophysical Journal International by Jordan W. Bishop, Philip Blom, and Jeremy Webster. It contains the infrasound data used to create Figures 8 and 9 in the manuscript. Results using this data have previously been published as Blom (2019) and Blom (2024), for example, and we seek to release this data publicly for compliance with the journal’s Data Availability section. Seven of the waveform files contain infrasound recordings of the 2016 Forensic Surface Experiment recorded at a LANL infrasound array in St. George, UT, USA. The other ten recordings are of a 2020 bolide recorded at the International Monitoring System array I37NO in Norway.

LA-UR-25-24644

Bishop, J.W., Blom, P., and Webster, J. “Evaluation of a Generalized Least Squares Algorithm for InfrasoundBeamforming with Coherent Background Noise”. In: Geophysical Journal International (in review). 

Philip Blom; Modeling infrasonic propagation through a spherical atmospheric layer—Analysis of the stratospheric pair. J. Acoust. Soc. Am. 1 April 2019; 145 (4): 2198–2208. https://doi.org/10.1121/1.5096855

Philip Blom, Christine Gammans, Brent Delbridge, Joshua D. Carmichael; Prediction of regional infrasound produced by supersonic sources using a ray-based Mach cone source. J. Acoust. Soc. Am. 1 March 2024; 155 (3): 1667-1681. https://doi.org/10.1121/10.0025025
DOI: 10.15468/dl.9aak7c
title: Occurrence Download

description: A dataset containing 259659 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Calcarius lapponicus (Linnaeus, 1758)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 259659 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028771-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxx5tr
title: Occurrence Download

description: A dataset containing 20250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Jaguapitã, Paraná, Brazil"
 ]
}

 The dataset includes 20250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028789-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmdgde
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyrosticta Hampson, 1898"
 ]
}

 The dataset includes 161 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028791-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pr4cqb
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Marmota bobak (Müller, 1776)"
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028790-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajy5m2
title: Occurrence Download

description: A dataset containing 151516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.8144 27.01896,-70.3536 22.26495,-44.06771 54.56107,-102.51597 53.15078,-94.8144 27.01896))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus L."
 ]
}

 The dataset includes 151516 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028778-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xxwu4
title: Occurrence Download

description: A dataset containing 111396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Peromyscus leucopus (Rafinesque, 1818)"
 ]
}

 The dataset includes 111396 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028780-250426092105405/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.29052365
title: Observational study to cross-validate the use of NG2 and PDGFRbeta as markers for vascular pericytes on murine cerebral capillaries.

description: Observational study to visualize and confirm NG2 and Platelet-Derived Growth Factor Receptor-beta (PDGFRb) localization on pericytes labeled by DsRed within murine cerebrovasculature from an Ng2/Cspg4:DsRed/+ animal (immediate collection, 0-hrs in culture). Images acquired on a Zeiss LSM 880 point-scanning confocal microscope to detect NG2 and PDGFRb co-localization on the pericytes within cerebral capillaries. Volumetric images taken through the z-axis were acquired at 40x. Images in the figure are compressed z-stacks within a selected range, but the raw image files in .czi format are also included.
DOI: 10.6084/m9.figshare.29052365.v1
title: Observational study to cross-validate the use of NG2 and PDGFRbeta as markers for vascular pericytes on murine cerebral capillaries.

description: Observational study to visualize and confirm NG2 and Platelet-Derived Growth Factor Receptor-beta (PDGFRb) localization on pericytes labeled by DsRed within murine cerebrovasculature from an Ng2/Cspg4:DsRed/+ animal (immediate collection, 0-hrs in culture). Images acquired on a Zeiss LSM 880 point-scanning confocal microscope to detect NG2 and PDGFRb co-localization on the pericytes within cerebral capillaries. Volumetric images taken through the z-axis were acquired at 40x. Images in the figure are compressed z-stacks within a selected range, but the raw image files in .czi format are also included.
DOI: 10.6084/m9.figshare.29052365.v2
title: Observational study to cross-validate the use of NG2 and PDGFRbeta as markers for vascular pericytes on murine cerebral capillaries.

description: Observational study to visualize and confirm NG2 and Platelet-Derived Growth Factor Receptor-beta (PDGFRb) localization on pericytes labeled by DsRed within murine cerebrovasculature from an Ng2/Cspg4:DsRed/+ animal (immediate collection, 0-hrs in culture). Images acquired on a Zeiss LSM 880 point-scanning confocal microscope to detect NG2 and PDGFRb co-localization on the pericytes within cerebral capillaries. Volumetric images taken through the z-axis were acquired at 40x. Images in the figure are compressed z-stacks within a selected range, but the raw image files in .czi format are also included.
DOI: 10.15784/601928
title: P2P 2022-2023 Adelie Penguin Biologging Data

description: This dataset includes dive behavior data from Adélie Penguins (Pygoscelis adeliae) tagged at Cape Crozier, Ross Island, Antarctica, linked to interpolated geographic locations, during the austral summer season between December 2022 and January 2023. Birds were captured and equipped with either Lotek or Celltrack GPS/TDR tags. Observations recorded include the interpolated geographic location (Longitude, Latitude) and its corresponding timestamp (Datetime_UTC), individual deployment identifier (DeployId), dive type (divetype), maximum dive depth (maxdep), dive duration (divetim), and the time difference (tdiff) between the interpolated location time (Datetime_UTC) and the timestamp of the nearest known location fix used for the interpolation.
DOI: 10.5066/f74f1q0d
title: Pacific (Gavia pacifica), Yellow-billed (G. adamsii), and Red-throated Loon (G. stellata) Nest Monitoring Data; National Petroleum Reserve-Alaska, 2011-2014

description: This data set contains information (in two spreadsheets) from the monitoring of nests of Pacific, Yellow-billed and Red-throated loons at two 64 km2 sites in the National Petroleum Reserve-Alaska (NPR-A) during the summers of 2011-2014.  We categorized each nest site by the physical aspects of the lake and proximity to other nesting loons. To determine nest fate (incubating, nest successful, nest failed), nests were revisited and inspected at least once a week. During each nest visit, we estimated embryo development (to predict hatch dates) by floating eggs. Nests were considered successful if one or more chicks hatched.
DOI: 10.15468/dl.xtrsyr
title: Occurrence Download

description: A dataset containing 11392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.686 21.152,-100.296 21.152,-100.296 21.528,-100.686 21.528,-100.686 21.152))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11392 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028792-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fdyg5
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Ellobius talpinus (Pallas, 1770)"
 ]
}

 The dataset includes 60 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028795-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt9yhr
title: Occurrence Download

description: A dataset containing 11392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.686 21.152,-100.296 21.152,-100.296 21.528,-100.686 21.528,-100.686 21.152))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11392 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028793-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2rfvk
title: Occurrence Download

description: A dataset containing 20250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Jaguapitã, Paraná, Brazil"
 ]
}

 The dataset includes 20250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028796-250426092105405/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.29052692
title: <i>Pistia stratiotes</i>: Una alternativa para la fitorremediación y potencial candidato como ingrediente de forraje de dietas para conejo blanco

description: Aunque el acceso al agua suficiente, asequible y de calidad es un derecho humano, no es garantizado eficazmente en México. Esto hace urgente las estrategias de mitigación de contaminación de agua. Se sugiere incorporar la biorremediación como alternativa sustentable para el retiro de contaminantes orgánicos e inorgánicos de cuerpos de agua. Especies como Pistia stratiotes sobreviven en agua contaminada aprovechando los desechos como nutrientes y produciendo biomasa rica en proteína, sin embargo, se desconoce cómo algunos factores pueden afectar la fisiología vegetal y reducir el valor nutricional de este lirio. Por tanto, el objetivo de esta investigación fue evaluar la biomasa de P. stratiotes L. producida a través de la fitorremediación de agua como potencial ingrediente para forraje de engorda de conejo blanco neozelandés. Esto se llevó a cabo en dos grandes fases: 1) Investigación documental en la que se describe el marco teórico y, 2) Investigación original, que mostró que múltiples contaminantes reducen la cantidad de proteína en P. stratiotes y se acumulan en hojas y raíces de esta. Así, la planta podría provocar efectos mutagénicos o tóxicos en caso de ser ingerida por el ganado. Entonces, esta planta no es recomendable para fitorremediación y uso posterior como forraje en producción agropecuaria. Solo las aguas residuales incrementaron el contenido de proteína en P. stratiotes. Así, se estableció un experimento con aguas residuales provenientes del cultivo de mojarra para promover la acumulación de proteína en los tejidos de P. stratiotes L. a través de su cultivo en aguas residuales de un sistema productivo de mojarra. Se encontró que el agua residual de la acuacultura con mojarra promueve el crecimiento y reproducción del lirio al mismo tiempo que reduce su cantidad de sólidos totales. No obstante, debido a los riesgos colaterales del cultivo de la planta en aguas residuales, un último experimento buscó inducir el incremento de proteína relativa en la biomasa de P. stratiotes a través de su exposición a diferentes niveles luz en un medio de cultivo hidropónico inocuo. Se logró promover un 13.8% de proteína base seca, un valor que se encontró dentro del rango de otras especies que han sido incluidas como ingredientes de dietas de conejo. Por lo tanto, el aprovechamiento de P. stratiotes como ingrediente de dietas de conejo, aunque prometedor, requiere futuros esfuerzos experimentales para poner a prueba su contenido de otros nutrientes.
DOI: 10.5281/zenodo.15399323
title: База данных: материалы к словарю рифм А. А. Ржевского

description: База данных: материалы к словарю рифм А. А. Ржевского. Исследование выполнено за счёт гранта Российского научного фонда (проект № 24-78-00090) в Институте мировой культуры Московского государственного университета имени М. В. Ломоносова.
DOI: 10.5281/zenodo.15399324
title: База данных: материалы к словарю рифм А. А. Ржевского

description: База данных: материалы к словарю рифм А. А. Ржевского. Исследование выполнено за счёт гранта Российского научного фонда (проект № 24-78-00090) в Институте мировой культуры Московского государственного университета имени М. В. Ломоносова.
DOI: 10.15468/dl.uwvpwy
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Manilkara bidentata (A.DC.) A.Chev."
 ]
}

 The dataset includes 119 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028797-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/vurdi3
title: Benchmarking Reasoning Beyond Correctness using Structural Consistency

description: This is the WMPS (Word Math Problems) dataset which includes modifications to existing benchmarks to create additional variants of each problem.

Current AI benchmarks often overestimate model reasoning capabilities with unreliable measures that prioritize answer correctness over the reasoning process itself. Consequently, AI systems can achieve high scores by employing ‘shortcut’ strategies—such as memorization, superficial pattern matching, or heuristic guessing—rather than demonstrating sound inference. While it would be ideal to evaluate the process or justification for the answer, there are immense practical difficulties in generating checkable proofs, evaluating the inference-time traces, or mechanistic interpretability. We introduce structural consistency, a novel methodology for designing more robust reasoning benchmarks (or for augmenting existing benchmarks). This approach involves systematically generating multiple, structurally distinct yet logically (or semantically) related variants for each original task instance. The central premise is that a system consistently and correctly solving all variants is more likely to be employing a robust reasoning process, rather than relying on superficial heuristics. Our experiments demonstrate that, while all evaluated models exhibit a performance decline when faced with these variant sets, their ability to maintain structural consistency varies significantly. This reveals critical differences in their reasoning robustness that are often obscured by standard benchmark evaluations, thereby underscoring the utility of our approach for a more rigorous assessment of AI reasoning capabilities.
DOI: 10.15468/dl.a977wc
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mimus saturninus modulator (Gould, 1836)"
 ]
}

 The dataset includes 113 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028799-250426092105405/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.28856969
title: Araştırma İzin Belgesi

description: Araştırma İzin Belgesi
DOI: 10.6084/m9.figshare.28856969.v1
title: Araştırma İzin Belgesi

description: Araştırma İzin Belgesi
DOI: 10.15468/dl.ymtfhc
title: Occurrence Download

description: A dataset containing 148560 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungimap"
 ]
}

 The dataset includes 148560 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001937-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011395
title: Global Patterns of Antifungal Susceptibility Testing Data

description: Fungal infections cause substantial morbidity and mortality globally. The emergence of antifungal resistance for fungal diseases is a growing public health threat. Antifungal resistance in Candida auris, other Candida species, Aspergillus, and Trichophyton is increasing globally, leading to treatment failure and severe patient outcomes. Antifungal susceptibility testing (AFST) is rarely done globally for either molds or yeasts. Breakpoints and epidemiological cutoff values (ECVs) are not established for most fungal pathogens, causing difficulties in monitoring resistance patterns. We propose using the Antimicrobial Testing Leadership and Surveillance (ATLAS) antifungal dataset through the 2024 Vivli AMR Surveillance Data Challenge to explore the antifungal minimum inhibitory concentrations (MICs). For fungi that have established Clinical and Laboratory Standards Institute (CLSI) or European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints or ECVs, we will analyze the percent of non-wildtype isolates (percent of isolates above the ECV) by antifungal, year, and World Health Organization (WHO) region. For fungi without ECVs, we will determine the modal MICs by antifungal, year, and WHO region. These data can help inform public health interventions and treatment to address fungi with high modal MICs or high percentages of non-wildtype isolates in different regions. If a large percentage of isolates are non-wildtype for a certain fungus, this could indicate that the fungi may not respond to the antifungal as expected and consideration should be given to different treatment options. If a fungus has a high modal MIC for a certain antifungal in a country, this could inform policies to deter the use of that antifungal as high and potentially toxic antifungal doses may be needed to treat appropriately. AFST is a critical clinical and public health tool, and these results will highlight the need to conduct AFST globally to improve our understanding of antifungal resistance and offer better clinical treatment guidance.
DOI: 10.34740/kaggle/dsv/11598087
title: World Weather Repository ( Daily Updating )
DOI: 10.34740/kaggle/dsv/8715504
title: Trachoma : cause
DOI: 10.15468/dl.ngnw9w
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "DatasetKey is one of (Naturalis Biodiversity Center (NL) - Botany, The New York Botanical Garden Herbarium (NY), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, RB - Rio de Janeiro Botanical Garden Herbarium Collection, Museu Paraense Emilio Goeldi Herbarium, Tropicos MO Specimen Data, Herbarium - Instituto Nacional de Pesquisas da Amazônia (INPA), CEN - Herbário da Embrapa Recursos Genéticos e Biotecnologia, HERBAM - Herbário da Amazônia Meridional)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dimerocostus Kuntze",
 "Year 1950-2024"
 ]
}

 The dataset includes 225 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078518-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.