cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7575543
title: A1-D

description: A1-D
DOI: 10.15468/dl.2nhwdk
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hopea hainanensis Merr. & Chun"
 ]
}

 The dataset includes 36 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017674-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10966341
title: Massive Compression for High Data Rate Macromolecular Crystallography: Impact on Diffraction Data and Subsequent Structural Analysis

description: This is a dataset containing raw "uncompressed" diffraction data from  test sample.

Data are collected on a lysozyme sample at 7.5 keV for a S-SAD experiment at the AMX beamline using an EIGEr 9M detector.

The compression used, to generate the cbf files can be derived from the filenames: 

BINx: pixel binning by a factor x

SUMx: frame summing by a factor x 

J2Kx: JPEG2000 compression used with a factor of x

HCOMx: Hcompress used with a scale factor x 

For example: lyso_BIN2_SUM2_HCOMP4 was compressed using 2x pixel binning + 2x frame summing + Hcompress with scale of 4. 

More information will be included after publication, in the meantime, please contact author if details about processing are required.

All zstd tar directories contain the cbf files, ready to be processed. 

All data were collected at the AMX beamline at the NSLS-II using a DECTRIS EIGER X 9 M detector.
DOI: 10.5281/zenodo.10966342
title: Massive Compression for High Data Rate Macromolecular Crystallography: Impact on Diffraction Data and Subsequent Structural Analysis
title: Lossy Compression in MX

description: This is a dataset containing raw "uncompressed" diffraction data from 2 samples

The compression used, to generate the cbf files can be derived from the filenames: 

BINx: pixel binning by a factor x

SUMx: frame summing by a factor x 

J2Kx: JPEG2000 compression used with a factor of x

HCOMx: Hcompress used with a scale factor x 

For example: lyso_BIN2_SUM2_HCOMP4 was compressed using 2x pixel binning + 2x frame summing + Hcompress with scale of 4. 

More information will be included after publication, in the meantime, please contact author if details about processing are required.

 

All zstd tar directories contain the cbf files, ready to be processed. 

 

All data were collected at the AMX beamline at the NSLS-II using a DECTRIS EIGER X 9 M detector.
DOI: 10.5281/zenodo.12696608
title: Massive Compression for High Data Rate Macromolecular Crystallography: Impact on Diffraction Data and Subsequent Structural Analysis

description: This is a dataset containing raw "uncompressed" diffraction data from  test sample.

Data are collected on a lysozyme sample at 7.5 keV for a S-SAD experiment at the AMX beamline using an EIGEr 9M detector.

The compression used, to generate the cbf files can be derived from the filenames: 

BINx: pixel binning by a factor x

SUMx: frame summing by a factor x 

J2Kx: JPEG2000 compression used with a factor of x

HCOMx: Hcompress used with a scale factor x 

For example: lyso_BIN2_SUM2_HCOMP4 was compressed using 2x pixel binning + 2x frame summing + Hcompress with scale of 4. 

More information will be included after publication, in the meantime, please contact author if details about processing are required.

All zstd tar directories contain the cbf files, ready to be processed. 

All data were collected at the AMX beamline at the NSLS-II using a DECTRIS EIGER X 9 M detector.
DOI: 10.5281/zenodo.12696632
title: Late Spring Langley Mobile Ozone Lidar data

description: The Langley Mobile Ozone lidar for May, June, July 2024. These data contains the boundary layer processing as well as the aerosol correction / backscatter.
DOI: 10.5281/zenodo.12696633
title: Late Spring Langley Mobile Ozone Lidar data

description: The Langley Mobile Ozone lidar for May, June, July 2024. These data contains the boundary layer processing as well as the aerosol correction / backscatter.
DOI: 10.5281/zenodo.11124658
title: Data for: Global GPP estimates at 8-day/monthly/annual temporal resolution generated by the PTEC model

description: PTEC provides spatiotemporally estimates of Gross Primary Productivity based on a two-leaf light use efficiency model incorporating plant water status and phenology. PTEC integrates a set of satellite and climate variables within a parsimonious modeling framework to be simple yet robust and grounded on eco-physiological principles. Available at 8-day/monthly/annual and 0.05° resolution from 2001 to 2021, PTEC shows superior performance compared to benchmark products.
DOI: 10.5281/zenodo.11124659
title: Data for: Global GPP estimates at 8-day/monthly/annual temporal resolution generated by the PTEC model

description: PTEC provides spatiotemporally estimates of Gross Primary Productivity based on a two-leaf light use efficiency model incorporating plant water status and phenology. PTEC integrates a set of satellite and climate variables within a parsimonious modeling framework to be simple yet robust and grounded on eco-physiological principles. Available at 8-day/monthly/annual and 0.05° resolution from 2001 to 2021, PTEC shows superior performance compared to benchmark products.
DOI: 10.15468/dl.yts8ax
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is 061b4f20-f241-11da-a328-b8a03c50a862",
 "TaxonKey is Pancratium Dill. ex L."
 ]
}

 The dataset includes 437 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017675-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gckxp6
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Vatica mangachapoi Blanco"
 ]
}

 The dataset includes 82 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017677-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12694779
title: The second dataset, 'runs_part_ac' and 'runs_part_ad' , should be used together with https://zenodo.org/doi/10.5281/zenodo.12693652

description: Take a look at the first repository:  https://zenodo.org/doi/10.5281/zenodo.12693652
DOI: 10.5281/zenodo.12694780
title: The second dataset, 'runs_part_ac' and 'runs_part_ad' , should be used together with https://zenodo.org/doi/10.5281/zenodo.12693652

description: Take a look at the first repository:  https://zenodo.org/doi/10.5281/zenodo.12693652
DOI: 10.15468/dl.yaq6rs
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hypecoum erectum L."
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017678-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12696695
title: The last dataset, 'runs_part_ae' and 'runs_part_af' should be used together with https://zenodo.org/doi/10.5281/zenodo.12693652

description: Take a look at the first repository:  https://zenodo.org/doi/10.5281/zenodo.12693652
DOI: 10.5281/zenodo.12696696
title: The last dataset, 'runs_part_ae' and 'runs_part_af' should be used together with https://zenodo.org/doi/10.5281/zenodo.12693652

description: Take a look at the first repository:  https://zenodo.org/doi/10.5281/zenodo.12693652
DOI: 10.15468/dl.k7pg28
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taraxacum mongolicum Hand.-Mazz."
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017679-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwp8nw
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ficus microcarpa L.fil."
 ]
}

 The dataset includes 733 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017680-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12696856
title: Unveiling the Complex Phonon Nature and Phonon Cascades in 1L to 5L WSe2  Using Multiwavelength Excitation Raman Scattering
DOI: 10.5281/zenodo.12696847
title: Synthetic dataset of 2342 earthquake/tsunami scenarios targeting the Nankai trough subduction zone

description: Summary:



Data of 2342 hypothetical Nankai Trough events

Tsunami propagation is simulated by the GeoClaw software (Clawpack Development Team, 2021).

Earthquake realizations generated by the Mudpy software (Melgar, 2020).

Data composition is as follows:nankai_data├── quakes│   ├── dtopofiles│   │   ├── nankai_xy_zzzzzz.dtt3│   │   ├── ...│   ├── png│   │   ├── nankai_xy_zzzzzz_slip_dtopo.png│   │   ├── ...│   └── ruptures│       ├── nankai_xy_zzzzzz.log│       ├── nankai_xy_zzzzzz.rupt│       ├── ...├── waves│   ├── nankai_xy_zzzzzz.csv │   ├── ...├── gauge_loc.csv└── wave_seq.npy


Details of each file:

Unzipping `nankai_data.tar.gz` creates two directories and two file: `quakes/`, `waves/`, `gauge_loc.csv` and `wave_seq.npy`.Note that 8 GB of additional storage is required. 





quakes/
Earthquake data of 2342 scenarios. 



quakes/dtopofiles/nankai_xy_zzzzzz.dtt3Seafloor deformation of each scenarioMw: x.y, ID: zzzzzz

quakes/ruptures/nankai_xy_zzzzzz.rupt stores the rupture for each scenario.nankai_xy_zzzzzz.log has information about the rupture.

quakes/png/nankai_xy_zzzzzz_slip_dtopo.pngThe slip distribution and seafloor deformation due to fault rupture are visualized in PNG format.





waves/

2342 .csv files contain time series data of simulated tsunami wave heightsThe left column has the time (minute) elapsed from the fault ruptureThe following columns have the wave sequences recorded at each gaugeEach file has 2160 rows corresponding to the simulation time steps, 3 [hr] x 3600 [sec/hr] / 5[sec] = 2160.




gauge_loc_all.csv
The locations of 62 synthetic gaugesGauge IDs are in the left column named ID.The gauge locations are in Longitude and Latitude columns.Some of the synthetic gauges are set by referring to the locations of existing gauges, as shown in the Instruments column.



wave_seq.npy
 Data matrix containing the wave sequences.  Loading this binary data by      numpy.load('wave_seq.npy')  gives a 2342 x 62 x 2160-shaped 3d array.
DOI: 10.5281/zenodo.12696848
title: Synthetic dataset of 2342 earthquake/tsunami scenarios targeting the Nankai trough subduction zone

description: Summary:



Data of 2342 hypothetical Nankai Trough events

Tsunami propagation is simulated by the GeoClaw software (Clawpack Development Team, 2021).

Earthquake realizations generated by the Mudpy software (Melgar, 2020).

Data composition is as follows:nankai_data├── quakes│   ├── dtopofiles│   │   ├── nankai_xy_zzzzzz.dtt3│   │   ├── ...│   ├── png│   │   ├── nankai_xy_zzzzzz_slip_dtopo.png│   │   ├── ...│   └── ruptures│       ├── nankai_xy_zzzzzz.log│       ├── nankai_xy_zzzzzz.rupt│       ├── ...├── waves│   ├── nankai_xy_zzzzzz.csv │   ├── ...├── gauge_loc.csv└── wave_seq.npy


Details of each file:

Unzipping `nankai_data.tar.gz` creates two directories and two file: `quakes/`, `waves/`, `gauge_loc.csv` and `wave_seq.npy`.Note that 8 GB of additional storage is required. 





quakes/
Earthquake data of 2342 scenarios. 



quakes/dtopofiles/nankai_xy_zzzzzz.dtt3Seafloor deformation of each scenarioMw: x.y, ID: zzzzzz

quakes/ruptures/nankai_xy_zzzzzz.rupt stores the rupture for each scenario.nankai_xy_zzzzzz.log has information about the rupture.

quakes/png/nankai_xy_zzzzzz_slip_dtopo.pngThe slip distribution and seafloor deformation due to fault rupture are visualized in PNG format.





waves/

2342 .csv files contain time series data of simulated tsunami wave heightsThe left column has the time (minute) elapsed from the fault ruptureThe following columns have the wave sequences recorded at each gaugeEach file has 2160 rows corresponding to the simulation time steps, 3 [hr] x 3600 [sec/hr] / 5[sec] = 2160.




gauge_loc_all.csv
The locations of 62 synthetic gaugesGauge IDs are in the left column named ID.The gauge locations are in Longitude and Latitude columns.Some of the synthetic gauges are set by referring to the locations of existing gauges, as shown in the Instruments column.



wave_seq.npy
 Data matrix containing the wave sequences.  Loading this binary data by      numpy.load('wave_seq.npy')  gives a 2342 x 62 x 2160-shaped 3d array.
DOI: 10.5281/zenodo.12696886
title: Replication Package

description: This is the replication package for Can We Do Better with What We Have Done? Unveiling the Potential of ML Pipeline in Notebooks
DOI: 10.5281/zenodo.12696888
title: Replication Package

description: This is the replication package for Can We Do Better with What We Have Done? Unveiling the Potential of ML Pipeline in Notebooks
DOI: 10.5281/zenodo.12684025
title: LGHAP v2: Global daily 1-km gap-free AOD grids (2022)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 24-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2023. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.5281/zenodo.12684026
title: LGHAP v2: Global daily 1-km gap-free AOD grids (2022)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 24-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2023. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.5281/zenodo.12696992
title: Data from: The mediating effect of perceived Coach's emotional support to Life satisfaction, Curiosity and Sports engagement: a Partial Least Square-Structural Equation Model

description: This data set is from the study titled, "The mediating effect of perceived Coach’s emotional support to Life satisfaction, Curiosity and Sports engagement: a Partial Least Square-Structural Equation Model."
DOI: 10.5281/zenodo.12696993
title: Data from: The mediating effect of perceived Coach's emotional support to Life satisfaction, Curiosity and Sports engagement: a Partial Least Square-Structural Equation Model

description: This data set is from the study titled, "The mediating effect of perceived Coach’s emotional support to Life satisfaction, Curiosity and Sports engagement: a Partial Least Square-Structural Equation Model."
DOI: 10.15468/dl.qv7kgs
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Nephelium topengii (Merr.) H.S.Lo"
 ]
}

 The dataset includes 82 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017682-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12697028
title: 10x Xenium GeoJSON
DOI: 10.5281/zenodo.12697029
title: 10x Xenium GeoJSON
DOI: 10.15468/dl.nrgw88
title: Occurrence Download

description: A dataset containing 11672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spheniscus humboldti Meyen, 1834"
 ]
}

 The dataset includes 11672 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017683-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnwbqy
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Endospermum chinense Benth."
 ]
}

 The dataset includes 121 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017684-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e2kwr
title: Occurrence Download

description: A dataset containing 2493586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((70.13379 47.40123,131.31788 47.40123,131.31788 65.72237,70.13379 65.72237,70.13379 47.40123))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2493586 records from 876 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017669-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhdfkv
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "TaxonKey is Pancratium Dill. ex L."
 ]
}

 The dataset includes 435 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017685-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kwqrz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.95842 12.74443,-75.06076 11.08503,-77.36949 8.41557,-78.01882 6.82832,-77.58593 4.44745,-79.46177 1.20081,-75.71009 -0.45859,-73.25707 -2.40657,-70.73191 -2.55087,-70.22687 -3.84952,-69.43325 -1.03577,-69.28895 0.76792,-69.43325 1.77799,-67.26882 1.99443,-66.76379 0.62363,-64.8158 0.62363,-63.37285 2.13873,-64.16647 3.72598,-63.08426 3.79812,-61.35272 4.5196,-59.33258 6.179,-60.05406 7.62195,-60.05406 8.99275,-61.49701 9.0649,-61.42486 10.00282,-62.86782 10.00282,-62.86782 11.22933,-65.46513 10.29141,-67.45465 11.043,-71.95842 12.74443))",
 "TaxonKey is Ziziphus angolito Standl."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017686-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zru94z
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thymus mongolicus (Ronniger) Ronniger"
 ]
}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017687-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztgf9j
title: Occurrence Download

description: A dataset containing 384325 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Taiwan Breeding Bird Survey Data"
 ]
}

 The dataset includes 384325 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017681-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch9s6g
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "TaxonKey is Pancratium Dill. ex L."
 ]
}

 The dataset includes 435 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017689-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdn838
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.35_1",
 "TaxonKey is Populus ciliata Wall. ex Royle"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017690-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qytj6z
title: Occurrence Download

description: A dataset containing 3600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mosquito Occurrence Dataset",
 "Year 2000-2024"
 ]
}

 The dataset includes 3600 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017691-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.