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

description: A dataset containing 12887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schismus calycinus neglectus, Schismus calycinus tenuis, Schismus fasciculatus, Schismus fasciculatus, Schismus fasciculatus flaccidus, Schismus fasciculatus perennans, Schismus fasciculatus tenuis, Schismus hirsutus, Schismus littoralis, Schismus marginatus, Schismus marginatus, Schismus minutus, Schismus ovalis, Schismus perennis, Schismus scaberrimus nanus, Schismus tenuis, Piptatherum caerulescens, Agrostis caerulescens, Agrostis caerulescens, Agrostis caerulescens, Milium caerulescens, Oryzopsis caerulescens, Oryzopsis caerulescens straminea, Piptatherum caerulescens stramineum, Stipa caerulescens, Urachne caerulescens, Eragrostis pilosa, Catabrosa verticillata, Cynodon pilosus, Eragrostis afghanica, Eragrostis albensis, Eragrostis bagdadensis, Eragrostis baguirmensis, Eragrostis baguirmiensis, Eragrostis bicolor, Eragrostis bithynica, Eragrostis collocarpa, Eragrostis collocarpa, Eragrostis damiensiana laxior, Eragrostis damiensiana laxior, Eragrostis filiformis, Eragrostis gracilis, Eragrostis gracilis, Eragrostis gracillima, Eragrostis imberbis, Eragrostis indica, Eragrostis indica, Eragrostis jeholensis, Eragrostis linkii, Eragrostis longipes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 12887 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019128-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvdgpv
title: Occurrence Download

description: A dataset containing 1957 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tetrapleura tetraptera)"
 ]
}

 The dataset includes 1957 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019131-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23901
title: Chandra X-ray Observatory ObsId 23901

description: Flows of hot Baryons in the Milky Way center: How are fountains & chimneys linked to the Galactic-scale outflow?
DOI: 10.4121/efb76669-0622-4825-8ba8-eb649430d001
title: Data underlying the MSc thesis: Development of an enhanced drive train model in HAWC2

description: The rapid technological progression of wind turbines not only imposes design challenges but also necessitates continuous advancements in modeling approaches, particularly holistic methods capable of accurately capturing turbine coupling effects. A well-established modeling tool in the wind energy sector is the aero-servo-elastic code HAWC2. Although it is widely used to predict the overall turbine response across a broad range of operating conditions, the drivetrain is typically represented as a single beam.In the presented work, a more realistic and comprehensive drive train model was developed in HAWC2 to account for additional flexibility effects associated with increasing turbine dimensions and enable the estimation of the main bearing reaction loads. First, a detailed literature review was conducted to analyze current trends regarding drivetrain technology, essential components, and modeling approaches of modern wind turbine drivetrains.The DTU 10MWRWT and a high-fidelity SIMPACK drivetrain model, developed by researchers from NTNU, were identified as references for the implementation. Additionally, the theoretical foundations of Timoshenko beam elements and multibody formulation used in HAWC2 were studied, as both are essential for constructing a turbine model in HAWC2. In the implementation phase, the overall drivetrain structure and fundamental drivetrain properties, such as the stiffness properties of the main bearings, were extracted from the SIMPACK model and incorporated into HAWC2 through the introduction of additional beam elements. To further increase the fidelity, the first torsional eigenfrequency of the derived structure was tuned to match the dynamics of the reference models. As a final step, the simple HAWC2 drivetrain representation was adjusted to reflect the mass distribution of the developed structure, enabling a direct comparison between the two.The developed model showed strong performance in predicting main bearing loads under steady conditions, thereby achieving a clear improvement in fidelity compared with the original setup. In contrast, reduced agreement was observed for the torque arms response and under turbulent simulations. The study concludes with a critical evaluation of the model, addressing its limitations and outlining potential directions for further accuracy improvements.
DOI: 10.25574/23903
title: Chandra X-ray Observatory ObsId 23903

description: Flows of hot Baryons in the Milky Way center: How are fountains & chimneys linked to the Galactic-scale outflow?
DOI: 10.4121/efb76669-0622-4825-8ba8-eb649430d001.v1
title: Data underlying the MSc thesis: Development of an enhanced drive train model in HAWC2

description: The rapid technological progression of wind turbines not only imposes design challenges but also necessitates continuous advancements in modeling approaches, particularly holistic methods capable of accurately capturing turbine coupling effects. A well-established modeling tool in the wind energy sector is the aero-servo-elastic code HAWC2. Although it is widely used to predict the overall turbine response across a broad range of operating conditions, the drivetrain is typically represented as a single beam.In the presented work, a more realistic and comprehensive drive train model was developed in HAWC2 to account for additional flexibility effects associated with increasing turbine dimensions and enable the estimation of the main bearing reaction loads. First, a detailed literature review was conducted to analyze current trends regarding drivetrain technology, essential components, and modeling approaches of modern wind turbine drivetrains.The DTU 10MWRWT and a high-fidelity SIMPACK drivetrain model, developed by researchers from NTNU, were identified as references for the implementation. Additionally, the theoretical foundations of Timoshenko beam elements and multibody formulation used in HAWC2 were studied, as both are essential for constructing a turbine model in HAWC2. In the implementation phase, the overall drivetrain structure and fundamental drivetrain properties, such as the stiffness properties of the main bearings, were extracted from the SIMPACK model and incorporated into HAWC2 through the introduction of additional beam elements. To further increase the fidelity, the first torsional eigenfrequency of the derived structure was tuned to match the dynamics of the reference models. As a final step, the simple HAWC2 drivetrain representation was adjusted to reflect the mass distribution of the developed structure, enabling a direct comparison between the two.The developed model showed strong performance in predicting main bearing loads under steady conditions, thereby achieving a clear improvement in fidelity compared with the original setup. In contrast, reduced agreement was observed for the torque arms response and under turbulent simulations. The study concludes with a critical evaluation of the model, addressing its limitations and outlining potential directions for further accuracy improvements.
DOI: 10.15468/dl.eca2mn
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Quercus cocciferoides"
 ]
}

 The dataset includes 311 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019130-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10147889
title: G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles

description: Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.

Spatiotemporal Characteristics





Time range: 2005–2022, monthly fields.




Geographic range: Global oceans excluding the Arctic Ocean, from 90°S to 84°N and 180°W to 180°E.




Horizontal resolution: 1° × 1° (regular grid).




Vertical levels (26): 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .



Data Format & Conventions





Format: NetCDF4




Coordinate conventions:





lat (Y axis): 89.5 → −89.5 (descending)




lon (X axis): converted to −180 → 180 (1° centers)




depth: ascending (matching the 26 target levels)






Units: DO in μmol/kg (umol kg-1).



Variables & Dimensions





Variables kept: DO, depth, lat, lon (with a single-valued time coordinate).




DO dimensions: (time, depth, lat, lon).



Filenames





Pattern: G4D_DOC_YYYY_MM.ncExample: G4D_DOC_2005_07.nc contains the field for July 2005.



Citation & Disclaimer

Please cite the dataset and relevant literature when using it in publications or products.Recommended citation (example):



Xue, C., & Wang, Z. (2025). A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles (Monthly NetCDF version). Zenodo. https://doi.org/10.5281/zenodo.13920233


The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.

Contacts





Cunjin Xue — xuecj@aircas.ac.cn




Zhenguo Wang — zgwang24@m.fudan.edu.cn
DOI: 10.5281/zenodo.17035373
title: G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles

description: Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.

Spatiotemporal Characteristics





Time range: 2005–2022, monthly fields.




Geographic range: Global oceans excluding the Arctic Ocean, from 90°S to 84°N and 180°W to 180°E.




Horizontal resolution: 1° × 1° (regular grid).




Vertical levels (26): 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .



Data Format & Conventions





Format: NetCDF4




Coordinate conventions:





lat (Y axis): 89.5 → −89.5 (descending)




lon (X axis): converted to −180 → 180 (1° centers)




depth: ascending (matching the 26 target levels)






Units: DO in μmol/kg (umol kg-1).



Variables & Dimensions





Variables kept: DO, depth, lat, lon (with a single-valued time coordinate).




DO dimensions: (time, depth, lat, lon).



Filenames





Pattern: G4D_DOC_YYYY_MM.ncExample: G4D_DOC_2005_07.nc contains the field for July 2005.



Citation & Disclaimer

Please cite the dataset and relevant literature when using it in publications or products.Recommended citation (example):



Xue, C., & Wang, Z. (2025). A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles (Monthly NetCDF version). Zenodo. https://doi.org/10.5281/zenodo.13920233


The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.

Contacts





Cunjin Xue — xuecj@aircas.ac.cn




Zhenguo Wang — zgwang24@m.fudan.edu.cn
DOI: 10.5281/zenodo.17036815
title: PCsRNAdb data and code

description: PCsRNAdb data and code
DOI: 10.5281/zenodo.17036814
title: PCsRNAdb data and code

description: PCsRNAdb data and code
DOI: 10.15468/dl.4dc563
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT invalid, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date unlikely, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aerodramus vulcanorum"
 ]
}

 The dataset includes 155 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019129-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw9n3g
title: Occurrence Download

description: A dataset containing 6853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Human Observation)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((42.9083 -10.77497,41.70772 -23.54303,45.18307 -26.85845,48.97436 -24.75382,51.81783 -16.11947,49.79581 -11.20917,42.9083 -10.77497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 6853 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141857-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn9j78
title: Occurrence Download

description: A dataset containing 2083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material citation, Material sample)",
 "CoordinateUncertaintyInMeters 0.0-1500.0",
 "Geometry POLYGON((42.86755 -10.64351,42.46413 -27.05418,48.78434 -26.99428,51.94445 -16.65151,50.12907 -10.84167,42.86755 -10.64351))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 2083 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141877-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrf47w
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxylobium oxylobioides"
 ]
}

 The dataset includes 1683 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019132-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7826gt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrao urogallus",
 "Geometry POLYGON((12.285204 59.022372, 12.294817 59.022372, 12.294817 59.026966, 12.285204 59.026966, 12.285204 59.022372))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019133-250827131500795/datasets/export for details.
DOI: 10.15468/dl.asmwrg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Roldana petasitis",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019136-250827131500795/datasets/export for details.
DOI: 10.15468/dl.matd55
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Roldana petasitis",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 403 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019137-250827131500795/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.30031466
title: NS-NS-RThe-Plane from Elastic displacements and viscous hydrodynamic flows in wedge-shaped geometries with a straight edge: Green’s functions for parallel forces

description: For homogeneous and isotropic linearly elastic solids and for incompressible fluids under low-Reynolds-number conditions, the fundamental solutions of the associated continuum equations were derived a long time ago for bulk systems. That is, the corresponding Green’s functions are available in infinitely extended systems, where boundaries do not play any role. However, introducing boundaries renders the situation significantly more complex. Here, we derive the corresponding Green’s functions for a linearly elastic homogeneous and isotropic material in a wedge-shaped geometry. Two flat boundaries confine the material and meet at a straight edge. No-slip (NOS) and free-slip (FRS) conditions are considered. The force is oriented in a direction parallel to the straight edge of the wedge. Assuming incompressibility, our expressions also apply to the situation of low-Reynolds-number hydrodynamic viscous fluid flows. Thus, they may be used, for instance, to describe the motion of self-propelled objects guided by an edge or the distortion of soft elastic actuators in wedge-shaped environments of operation.
DOI: 10.6084/m9.figshare.30031466.v1
title: NS-NS-RThe-Plane from Elastic displacements and viscous hydrodynamic flows in wedge-shaped geometries with a straight edge: Green’s functions for parallel forces

description: For homogeneous and isotropic linearly elastic solids and for incompressible fluids under low-Reynolds-number conditions, the fundamental solutions of the associated continuum equations were derived a long time ago for bulk systems. That is, the corresponding Green’s functions are available in infinitely extended systems, where boundaries do not play any role. However, introducing boundaries renders the situation significantly more complex. Here, we derive the corresponding Green’s functions for a linearly elastic homogeneous and isotropic material in a wedge-shaped geometry. Two flat boundaries confine the material and meet at a straight edge. No-slip (NOS) and free-slip (FRS) conditions are considered. The force is oriented in a direction parallel to the straight edge of the wedge. Assuming incompressibility, our expressions also apply to the situation of low-Reynolds-number hydrodynamic viscous fluid flows. Thus, they may be used, for instance, to describe the motion of self-propelled objects guided by an edge or the distortion of soft elastic actuators in wedge-shaped environments of operation.
DOI: 10.6084/m9.figshare.30031469
title: FS-FS-RThe-Plane from Elastic displacements and viscous hydrodynamic flows in wedge-shaped geometries with a straight edge: Green’s functions for parallel forces

description: For homogeneous and isotropic linearly elastic solids and for incompressible fluids under low-Reynolds-number conditions, the fundamental solutions of the associated continuum equations were derived a long time ago for bulk systems. That is, the corresponding Green’s functions are available in infinitely extended systems, where boundaries do not play any role. However, introducing boundaries renders the situation significantly more complex. Here, we derive the corresponding Green’s functions for a linearly elastic homogeneous and isotropic material in a wedge-shaped geometry. Two flat boundaries confine the material and meet at a straight edge. No-slip (NOS) and free-slip (FRS) conditions are considered. The force is oriented in a direction parallel to the straight edge of the wedge. Assuming incompressibility, our expressions also apply to the situation of low-Reynolds-number hydrodynamic viscous fluid flows. Thus, they may be used, for instance, to describe the motion of self-propelled objects guided by an edge or the distortion of soft elastic actuators in wedge-shaped environments of operation.
DOI: 10.6084/m9.figshare.30031469.v1
title: FS-FS-RThe-Plane from Elastic displacements and viscous hydrodynamic flows in wedge-shaped geometries with a straight edge: Green’s functions for parallel forces

description: For homogeneous and isotropic linearly elastic solids and for incompressible fluids under low-Reynolds-number conditions, the fundamental solutions of the associated continuum equations were derived a long time ago for bulk systems. That is, the corresponding Green’s functions are available in infinitely extended systems, where boundaries do not play any role. However, introducing boundaries renders the situation significantly more complex. Here, we derive the corresponding Green’s functions for a linearly elastic homogeneous and isotropic material in a wedge-shaped geometry. Two flat boundaries confine the material and meet at a straight edge. No-slip (NOS) and free-slip (FRS) conditions are considered. The force is oriented in a direction parallel to the straight edge of the wedge. Assuming incompressibility, our expressions also apply to the situation of low-Reynolds-number hydrodynamic viscous fluid flows. Thus, they may be used, for instance, to describe the motion of self-propelled objects guided by an edge or the distortion of soft elastic actuators in wedge-shaped environments of operation.