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

description: A dataset listing the 32195 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 32195 records were derived from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026816-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78t7bq
title: Occurrence Download

description: A dataset containing 3154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mugil cephalus Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3154 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026825-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87sgb3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mugil capurrii (Perugia, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026827-241126133413365/datasets/export for details.
DOI: 10.15468/dl.2c5sfn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (Antarctica, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Deschampsia antarctica Hook.f., 1879"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026828-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1125029
title: Data from an Excavation between the River Leam and Stoneleigh Park, Leamington Spa, Warwickshire, 2019-2020 (HS2 Phase One)

description: This collection comprises reports, text documents, images, vector files, spreadsheets, GIS files and site records from an archaeological excavation carried out by Wessex Archaeology between the River Leam and Stoneleigh Park, East of Leamington Spa, Warwickshire, from February 2019 to January 2020.
DOI: 10.15468/dl.vsp9w7
title: Occurrence Download

description: A dataset containing 62805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Buteo plagiatus (Schlegel, 1862)"
 ]
}

 The dataset includes 62805 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026826-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nvcc595t2b.1
title: ComDMFT v.2.0: Fully self-consistent ab initio GW+EDMFT for the electronic structure of correlated quantum materials

description: ComDMFT is a parallel computational package designed to study the electronic structure of correlated quantum materials from first principles. Our approach is based on the combination of first-principles methods and dynamical mean field theories. In version 2.0, we implemented fully-diagrammatic GW+EDMFT from first-principles self-consistently. In this approach, correlated electrons are treated within full GW+EDMFT and the rest are treated within full-GW, seamlessly. This implementation enables the electronic structure calculation of quantum materials with weak, intermediate, and strong electron correlation without prior knowledge of the degree of electron correlation.
DOI: 10.15468/dl.e88n7g
title: Occurrence Download

description: A dataset containing 1441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachurus japonicus (Temminck & Schlegel, 1844)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1441 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026829-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jzdc9
title: CCDC 2352911: Experimental Crystal Structure Determination

description: Related Article: David T. Jenkins, Elizabeth C. Trodden, John M. Andresen, Stephen M. Mansell, Ruaraidh D. McIntosh|2024|Dalton Trans.|53|18089|doi:10.1039/D4DT02831G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2knkld
title: CCDC 2373254: Experimental Crystal Structure Determination

description: Related Article: Kristina Gak Simić, Ivana Đorđević, Aleksandra Mašulović, Lidija Radovanović, Olivier Jeannin, Franck Camerel, Nemanja Trišović|2024|CrystEngComm|26|6448|doi:10.1039/D4CE00983E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2knkmf
title: CCDC 2373255: Experimental Crystal Structure Determination

description: Related Article: Kristina Gak Simić, Ivana Đorđević, Aleksandra Mašulović, Lidija Radovanović, Olivier Jeannin, Franck Camerel, Nemanja Trišović|2024|CrystEngComm|26|6448|doi:10.1039/D4CE00983E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktspw
title: CCDC 2378279: Experimental Crystal Structure Determination

description: Related Article: Wei Zhang|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kv6m8
title: CCDC 2378680: Experimental Crystal Structure Determination

description: Related Article: Yan Wang|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kvc4y
title: CCDC 2378820: Experimental Crystal Structure Determination

description: Related Article: Samuel H. Newman-Stonebraker|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jy65w
title: CCDC 2351758: Experimental Crystal Structure Determination

description: Related Article: Padhi, Sumanta K, Akhter, Sk. S|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kvdd7
title: CCDC 2378859: Experimental Crystal Structure Determination

description: Related Article: Huang Han|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.tbhcx6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caranx trachurus (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026830-241126133413365/datasets/export for details.
DOI: 10.15468/dl.8rx8r2
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conger myriaster (Brevoort, 1856)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 464 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026831-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pzvkwn5s6p.1
title: JAX-Fluids: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

description: Physical systems are governed by partial differential equations (PDEs). The Navier-Stokes equations describe fluid flows and are representative of nonlinear physical systems with complex spatio-temporal interactions. Fluid flows are omnipresent in nature and engineering applications, and their accurate simulation is essential for providing insights into these processes. While PDEs are typically solved with numerical methods, the recent success of machine learning (ML) has shown that ML methods can provide novel avenues of finding solutions to PDEs. ML is becoming more and more present in computational fluid dynamics (CFD). However, up to this date, there does not exist a general-purpose ML-CFD package which provides 1) powerful state-of-the-art numerical methods, 2) seamless hybridization of ML with CFD, and 3) automatic differentiation (AD) capabilities. AD in particular is essential to ML-CFD research as it provides gradient information and enables optimization of preexisting and novel CFD models. In this work, we propose JAX-Fluids: a comprehensive fully-differentiable CFD Python solver for compressible two-phase flows. JAX-Fluids is intended for ML-supported CFD research. The framework allows the simulation of complex fluid dynamics with phenomena like three-dimensional turbulence, compressibility effects, and two-phase flows. Written entirely in JAX, it is straightforward to include existing ML models into the proposed framework. Furthermore, JAX-Fluids enables end-to-end optimization. I.e., ML models can be optimized with gradients that are backpropagated through the entire CFD algorithm, and therefore contain not only information of the underlying PDE but also of the applied numerical methods. We believe that a Python package like JAX-Fluids is crucial to facilitate research at the intersection of ML and CFD and may pave the way for an era of differentiable fluid dynamics.
DOI: 10.17632/pzvkwn5s6p.2
title: JAX-Fluids 2.0: Towards HPC for differentiable CFD of compressible two-phase flows

description: In our effort to facilitate machine learning-assisted computational fluid dynamics (CFD), we introduce the second iteration of JAX-Fluids. JAX-Fluids is a Python-based fully-differentiable CFD solver designed for compressible single- and two-phase flows. In this work, the first version is extended to incorporate high-performance computing (HPC) capabilities. We introduce a parallelization strategy utilizing JAX primitive operations that scales efficiently on GPU (up to 512 NVIDIA A100 graphics cards) and TPU (up to 1024 TPU v3 cores) HPC systems. We further demonstrate stable parallel computation of automatic differentiation gradients across extended integration trajectories. The new code version offers enhanced two-phase flow modeling capabilities. In particular, a five-equation diffuse-interface model is incorporated which complements the level-set sharp-interface model. Additional algorithmic improvements include positivity-preserving limiters for increased robustness, support for stretched Cartesian meshes, refactored I/O handling, comprehensive post-processing routines, and an updated list of state-of-the-art high-order numerical discretization schemes. We verify newly added numerical models by showcasing simulation results for single- and two-phase flows, including turbulent boundary layer and channel flows, air-helium shock bubble interactions, and air-water shock drop interactions.
DOI: 10.15468/dl.uu7u49
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Deschampsia airiformis (Steud.) Benth. & Hook.f. ex B.D.Jacks."
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026832-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxgusz
title: Occurrence Download

description: A dataset containing 4820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "TaxonKey is Seymeria Pursh"
 ]
}

 The dataset includes 4820 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026833-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4br22r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pisodonophis sangjuensis Ji & Kim, 2011",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026834-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.27958836
title: Differing genetics of saline and cocaine self administration in the hybrid mouse diversity panel

description: To identify genes involved in regulating the behavioral and brain transcriptomic response to the potentially addictive drug cocaine, we performed genome-wide association studies (GWASs) for intravenous self-administration of cocaine or saline (as a control) over 10 days using a panel of inbred and recombinant inbred mice. A linear mixed model increased statistical power for these longitudinal data and identified 145 loci for responding when saline only was delivered, compared to 17 for the corresponding cocaine GWAS. Only one locus overlapped. Transcriptome-wide association studies (TWASs) using RNA-Seq data from the medial frontal cortex and nucleus accumbens identified <i>5031434O11Rik</i>and <i>Zfp60</i> as significant for saline self-administration. Two other genes, <i>Myh4</i> and <i>Npc1</i>, were nominated based on proximity to loci for multiple endpoints or a <i>cis</i> locus regulating expression. All four genes have previously been implicated in locomotor activity. Our results indicate distinct genetic bases for saline and cocaine self-administration, and suggest some common genes for saline self-administration and locomotor activity.
DOI: 10.57830/2302261
title: Southeast Coast Network Anuran Monitoring in the Southeastern United States, 2024 cumulative data package

description: The National Park Service (NPS) operates 32 Inventory and Monitoring (I&M) networks across the United States encompassing over 280 parks. Each I&M network has established "vital signs" monitoring in its parks. These vital signs represent elements and processes in park ecosystems that help indicate the overall health or condition of park resources. Network personnel monitor physical resources and processes (such as air, water, climate, fire, erosion), biological attributes (such as species and biological communities), and ecological processes (such as disturbance and productivity). The Southeast Coast Network (SECN) contains 15 parks containing natural resources, located in Alabama, Florida, Georgia, North Carolina, and South Carolina.
Each spring, SECN collects audio recording data during implementation of the SECN's Vocal Anuran Community Monitoring Protocol. Automated recording devices (ARDs) are used to capture 1-minute recordings of anuran vocalizations every twenty minutes overnight, on every fourth night between March and June. Sampling takes place at up to 30 spatially-balanced random sampling locations per park.  Five of the SECN's 15 parks are sampled each year on a three-year rotation.  All discernable anuran vocalizations are reviewed from selected recordings and classified to species. These data address the following protocol objectives: (1) Evaluate status of vocal anuran community species richness during the spring breeding season and (2) assess vocal anuran occupancy and spatial distribution at sampling locations during the breeding season.
DOI: 10.57830/2302260
title: Wadeable Stream Habitat Assessments in the Southeastern United States, 2023 Data Package

description: This package contains data collected by the Southeast Coast Network (SECN), a part of the Inventory and Monitoring Division (IMD) of the National Park Service (NPS). Data was collected under the  Wadeable Stream Habitat Monitoring Protocol (McDonald et al. 2018) during the year 2023. Wadeable stream habitat monitoring surveys were conducted on two stream reaches at Kennesaw Mountain National Battlefield Park (KEMO), one stream reach at Horseshoe Bend National Military Park (HOBE), and one stream reach at Ocmulgee Mounds National Historical Park (OCMU). The data contained within describe geomorphic and habitat conditions observed within the monitored stream reaches at the time of the surveys. The geomorphic dimensions (cross-sectional morphology, channel widths, bank heights, bank angles, bank vegetative cover, and reach slope and sinuosity) of the selected stream reaches are measured to understand the natural range of variability of similar sized streams within and between the park units. Understanding the variability in channel morphology between study reaches will determine which reaches are being negatively impacted by upstream land use and land cover and provide an understanding of long-term trajectories of change along each stream reach. The habitat data provide an understanding of the habitats that are available for colonization by benthic invertebrates within each stream reach. Habitat measures selected for this protocol focus on inventorying large woody debris and bed sediment within each reach. These components of habitat have been shown to be highly influential in the distribution and character of biota within a stream. These data will also facilitate future complementary studies that can focus on the other physical factors (e.g., current, temperature, and oxygen) that influence biotic assemblages.
DOI: 10.15468/dl.g4reur
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla myriaster Brevoort, 1856",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026836-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14334350
title: Local precursors to anomalous dissipation in Navier-Stokes turbulence: Burgers vortex-type models and simulation analysis

description:  














The repository contains data and scripts for reproduction of the figures presented in the publication titled "Local precursors to anomalous dissipation in Navier-Stokes turbulence: Burgers vortex-type models and simulation analysis". It includes simulation snapshots of velocity and vorticity fields from direct numerical simulations.
DOI: 10.5281/zenodo.14334351
title: Local precursors to anomalous dissipation in Navier-Stokes turbulence: Burgers vortex-type models and simulation analysis

description:  














The repository contains data and scripts for reproduction of the figures presented in the publication titled "Local precursors to anomalous dissipation in Navier-Stokes turbulence: Burgers vortex-type models and simulation analysis". It includes simulation snapshots of velocity and vorticity fields from direct numerical simulations.
DOI: 10.15468/dl.cafuyg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinus delphis Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026837-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13350859
title: Objective African Easterly Tracks in Reanalysis Data using "QTrack"

description: Objective track data for African Easterly Waves in reanalysis data (ERA5 and MERRA2) through 2024. Waves are tracked from June 1st through October 31st of each year. These tracks are produced using QTrack, following the method described in Lawton et al. (2022). Note that starting in 2024, tracks including both the ATL and EPAC basins will be included.

AEW Track data is updated on a yearly basis, typically in January of the following year. However, because the year 2024 uses preliminary HURDAT data to determine "developing" AEW classification, users are cautioned that these designiations could change pending finialization of the 2024 HURDAT year. 

Updated with Eastern Pacific Tracks: New easterly tracks have been produced through 2024 that included systems over the Eastern Pacific basin in addition to those over the Atlantic Ocean. These are stored as "ERA5_WITH_EPAC" and "MERRA2_WITH_EPAC". Please note that while the Atlantic Ocean tracks have been evaluated, the Eastern Pacific tracks have not. So use these data cautiously. 

If you use this data for your research, please cite:



Lawton, Q. A., S. J. Majumdar, K. Dotterer, C. Thorncroft, and C. J. Schreck, 2022: The Influence of Convectively Coupled Kelvin Waves on African Easterly Waves in a Wave-Following Framework. Monthly Weather Review, 150(8), 2055-2072, https://doi.org/10.1175/MWR-D-21-0321.1.


GitHub Repo for QTrack can be found here: https://github.com/qlawton/QTrack

Installable Python Module can be found here: https://pypi.org/project/qtrack/