cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m8w66g
title: Occurrence Download

description: A dataset containing 2493580 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Egretta garzetta (Linnaeus, 1766)"
 ]
}

 The dataset includes 2493580 records from 1557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003957-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7264762
title: SPLEEN - High Speed Turbine Cascade – Test Case Database

description: This is an open-access database of experimental data of the flow in a <strong>high-speed low-pressure turbine cascade</strong>. The data have been collected at the <strong>von Karman Institute for Fluid Dynamics</strong> in the period 2018-2022 within the H2020 Clean Sky 2 project <strong>SPLEEN</strong> – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines, a project in collaboration with Safran Aircraft Engines. This version contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and database structure. The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C. The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines. The measurement datasets describe the <strong>flow through the turbine cascade tested at on- and off-design conditions</strong>, with and without a wake generator located upstream of the cascade, and with and without endwall cavity injection/suction. The database includes measurements of pressure, temperature, flow angles, Mach numbers, pressure loss, unsteady blade and endwall pressure and quasi-shear-stress. <strong>Version v1 </strong>of the database includes measurement datasets performed on the turbine cascade <strong>WITH FLAT ENDWALL (no cavity) WITHOUT WAKE GENERATOR (Steady inlet flow)</strong>. Future versions will also include experimental data of the test case turbine equipped with a wake generator (unsteady inflow with wakes) and endwall cavity flow purge / suction. The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
description: WARNING! The geometry of the SPLEEN C1 cascade contained in this version (v1) is not correct (wrong cascade stagger angle). Files affected by this error: SPLEENC1_Geometry_Airfoil_2D_CAD_v1.igs SPLEENC1_Geometry_Airfoil_2D_CAD_v1.stp SPLEENC1_Geometry_Airfoil_2D_CAD_v1.x_t The coordinates of the SPLEEN C1 geometry provided in the file SPLEENC1_Geometry_Airfoil_2D_v1.xlsx are instead correct. PLEASE USE version 2 of the SPLEEN C1 CAD files (SPLEENC1_Geometry_Airfoil_2D_CAD_v2) provided in the new versions of the database.
DOI: 10.5281/zenodo.7359401
title: SPLEEN - High Speed Turbine Cascade – Test Case Database

description: This is an open-access database of experimental data of the flow in a <strong>high-speed low-pressure turbine cascade</strong>. The data have been collected at the <strong>von Karman Institute for Fluid Dynamics</strong> in the period 2018-2022 within the H2020 Clean Sky 2 project <strong>SPLEEN</strong> – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines, a project in collaboration with Safran Aircraft Engines. This version contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and database structure. The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C. The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines. The measurement datasets describe the <strong>flow through the turbine cascade tested at on- and off-design conditions</strong>, with and without a wake generator located upstream of the cascade, and with and without endwall cavity injection/suction. The database includes measurements of pressure, temperature, flow angles, Mach numbers, pressure loss, unsteady blade and endwall pressure and quasi-shear-stress. <strong>Version v1 </strong>of the database includes measurement datasets performed on the turbine cascade <strong>WITH FLAT ENDWALL (no cavity) WITHOUT WAKE GENERATOR (Steady inlet flow)</strong>. Future versions will also include experimental data of the test case turbine equipped with a wake generator (unsteady inflow with wakes) and endwall cavity flow purge / suction. The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
description: This version v2 contains an updated CAD geometry of the SPLEEN C1 cascade (_v2) that corrects a mistake in the airfoil stagger angle. Files affected by this error were SPLEENC1_Geometry_Airfoil_2D_CAD_v1.igs/.stp/.x_t The coordinates of the SPLEEN C1 geometry provided in the file SPLEENC1_Geometry_Airfoil_2D_v1.xlsx are instead correct.
DOI: 10.5281/zenodo.8075795
title: SPLEEN - High Speed Turbine Cascade – Test Case Database

description: This is an open-access database of experimental data of the flow in a <strong>high-speed low-pressure turbine cascade</strong>. The data have been collected at the <strong>von Karman Institute for Fluid Dynamics</strong> in the period 2018-2022 within the H2020 Clean Sky 2 project <strong>SPLEEN</strong> – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines, a project in collaboration with Safran Aircraft Engines. This version contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and database structure. The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C. The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines. The measurement datasets describe the <strong>flow through the turbine cascade tested at on- and off-design conditions</strong>, with and without a wake generator located upstream of the cascade, and with and without endwall cavity injection/suction. The database includes measurements of pressure, temperature, flow angles, Mach numbers, pressure loss, unsteady blade and endwall pressure and quasi-shear-stress. The database includes measurement datasets performed on the turbine cascade <strong>WITH a FLAT ENDWALL </strong>(no cavity)<strong> WITHOUT WAKE GENERATOR (</strong>Steady inlet flow)<strong>, WITH a FLAT ENDWALL </strong>(no cavity) <strong>AND WAKE GENERATOR</strong> (unsteady inlet flow)<strong>, WITH ENDWALL CAVITY</strong> (purged cavity) <strong>AND WAKE GENERATOR</strong> (unsteady inlet flow)<strong>.</strong> The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.
description: Version 2 Version v2 contains an updated CAD geometry of the SPLEEN C1 cascade (_v2) that corrects a mistake in the airfoil stagger angle. Files affected by this error were SPLEENC1_Geometry_Airfoil_2D_CAD_v1.igs/.stp/.x_t The coordinates of the SPLEEN C1 geometry provided in the file SPLEENC1_Geometry_Airfoil_2D_v1.xlsx are instead correct. Version 3 Version v3 of the database includes additional measurement datasets collected on the turbine cascade equipped with a wake generator and a flat endwall, as well as with a wake generator and with a purged endwall cavity. This version 3 also presents new turbulence and velocity measurements by hot-wire anemometry at the cascade inlet with and without wake generator. This new data replaces precedent hot-wire measurements included in version 1 & 2 of this database. Version 3 of the database includes the geometry of the investigated endwall cavity and information on the secondary air system for the cavity purge flow. Updates and minor modifications have been made to the database and to the technical notes that complement the test case.
DOI: 10.5281/zenodo.13712793
title: CURRICULUM VITAE Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt_Sept, 6, 2024

description:  Curriculum Vitae

curriculum vitae atau CV merupakan dokumen penting yang berisikan tentang riwayat diri atau riwayat hidup, seperti data diri, pengalaman profesional atau kerja, prestasi akademik atau non akademik, hobi, keterampilan dan lain sebagainya.

Dokumen penting yang satu ini sering kali disamakan dengan resume atau cover letter. Padahal ketiga dokumen ini berbeda isi, tujuan dan fungsi dibuatnya. Curriculum vitae ini digunakan untuk menuliskan tentang kronologis selama hidup, pencapaian dalam hidup, kualitas hidup yang dideskripsikan menjadi lebih dari dua halaman.

Sedangkan resume merupakan dokumen yang berisi tentang pengalaman kerja dan prestasi sesuai dengan pekerjaan yang dilamar. Cover letter ini merupakan alasan dan motivasi melamar pekerjaan tersebut. kedua dokumen penting ini ditulis kurang lebih 1 halaman.
DOI: 10.5281/zenodo.7157272
title: CURRICULUM VITAE Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt_Sept, 6, 2024

description:  Curriculum Vitae

curriculum vitae atau CV merupakan dokumen penting yang berisikan tentang riwayat diri atau riwayat hidup, seperti data diri, pengalaman profesional atau kerja, prestasi akademik atau non akademik, hobi, keterampilan dan lain sebagainya.

Dokumen penting yang satu ini sering kali disamakan dengan resume atau cover letter. Padahal ketiga dokumen ini berbeda isi, tujuan dan fungsi dibuatnya. Curriculum vitae ini digunakan untuk menuliskan tentang kronologis selama hidup, pencapaian dalam hidup, kualitas hidup yang dideskripsikan menjadi lebih dari dua halaman.

Sedangkan resume merupakan dokumen yang berisi tentang pengalaman kerja dan prestasi sesuai dengan pekerjaan yang dilamar. Cover letter ini merupakan alasan dan motivasi melamar pekerjaan tersebut. kedua dokumen penting ini ditulis kurang lebih 1 halaman.
DOI: 10.5281/zenodo.7157273
title: CURRICULUM VITAE Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt

description: <strong> Curriculum Vitae</strong> curriculum vitae atau CV merupakan dokumen penting yang berisikan tentang riwayat diri atau riwayat hidup, seperti data diri, pengalaman profesional atau kerja, prestasi akademik atau non akademik, hobi, keterampilan dan lain sebagainya. Dokumen penting yang satu ini sering kali disamakan dengan resume atau cover letter. Padahal ketiga dokumen ini berbeda isi, tujuan dan fungsi dibuatnya. Curriculum vitae ini digunakan untuk menuliskan tentang kronologis selama hidup, pencapaian dalam hidup, kualitas hidup yang dideskripsikan menjadi lebih dari dua halaman. Sedangkan resume merupakan dokumen yang berisi tentang pengalaman kerja dan prestasi sesuai dengan pekerjaan yang dilamar. Cover letter ini merupakan alasan dan motivasi melamar pekerjaan tersebut. kedua dokumen penting ini ditulis kurang lebih 1 halaman.
DOI: 10.5281/zenodo.13712800
title: scintegrator

description: Input files for scintegrator
DOI: 10.5281/zenodo.11060771
title: scintegrator

description: Input files for scintegrator
DOI: 10.5281/zenodo.11060772
title: scintegrator

description: Input files for scintegrator
DOI: 10.25574/01264
title: Chandra X-ray Observatory ObsId 01264
DOI: 10.5281/zenodo.13376581
title: Planetary Boundary Layer Height Retrievals from the Cloud-Aerosol Transport System (CATS) around the US Southern Great Plains and the Eastern North Atlantic

description: Planetary Boundary Layer Height (PBLH) retrievals in kilometers from the Cloud-Aerosol Transport System (CATS) around the DOE ARM US Southern Great Plains (SGP) and the Eastern North Atlantic (ENA), using a modified version of the Different Thermo-Dynamics Stability (DTDS)  algorithm. Quality control Flags are included as follows:



0 = 'Good Quality'

1 = 'Mediate Quality'

2 = 'Bad Quality'


In addition, -999 values in the dataset represent no data. The PBLH for daytime denoised CATS photon counts at SGP is named: "daytime-denoised-dtds-pblh-sgp.csv"The PBLH for the original daytime and nighttime data at SGP and ENA, without denoising the data, are named: "original-cats-dtds-pblh-daytime-nighttime-sgp.csv" and "original-cats-dtds-pblh-daytime-nighttime-ena.csv"

References: 

Roldán-Henao, N., Yorks, J., Su, T., Selmer, P., & Li, Z. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. Remote Sensing. 

Su, T., Li, Z., & Kahn, R. (2020). A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. Remote Sensing of Environment, 237, 111519.
DOI: 10.5281/zenodo.13376582
title: Planetary Boundary Layer Height Retrievals from the Cloud-Aerosol Transport System (CATS) around the US Southern Great Plains and the Eastern North Atlantic

description: Planetary Boundary Layer Height (PBLH) retrievals in kilometers from the Cloud-Aerosol Transport System (CATS) around the DOE ARM US Southern Great Plains (SGP) and the Eastern North Atlantic (ENA), using a modified version of the Different Thermo-Dynamics Stability (DTDS)  algorithm. Quality control Flags are included as follows:



0 = 'Good Quality'

1 = 'Mediate Quality'

2 = 'Bad Quality'


In addition, -999 values in the dataset represent no data. The PBLH for daytime denoised CATS photon counts at SGP is named: "daytime-denoised-dtds-pblh-sgp.csv"The PBLH for the original daytime and nighttime data at SGP and ENA, without denoising the data, are named: "original-cats-dtds-pblh-daytime-nighttime-sgp.csv" and "original-cats-dtds-pblh-daytime-nighttime-ena.csv"

References: 

Roldán-Henao, N., Yorks, J., Su, T., Selmer, P., & Li, Z. (2024). Statistically Resolved Planetary Boundary Layer Height Diurnal Variability Using Spaceborne Lidar Data. Remote Sensing. 

Su, T., Li, Z., & Kahn, R. (2020). A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. Remote Sensing of Environment, 237, 111519.
DOI: 10.15468/dl.h7m3hp
title: Occurrence Download

description: A dataset containing 115854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Specimen, Living Specimen, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((173.26207 -41.72261,174.81103 -41.72261,174.81103 -40.48988,173.26207 -40.48988,173.26207 -41.72261))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 115854 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000230-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5v4zh6
title: Occurrence Download

description: A dataset containing 361834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scutellaria L."
 ]
}

 The dataset includes 361834 records from 1867 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000231-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11165669
title: Model configuration and input files for: "CARIB12: A Regional Community Earth System Model / Modular Ocean Model 6 Configuration of the Caribbean Sea"

description: This collection hosts the configuration and input files to reproduce the regional CESM/MOM6 simulation in: "CARIB12: A Regional Community Earth System Model / Modular Ocean Model 6 Configuration of the Caribbean Sea". The initial, open boundary conditions and monthly means for the sponge layers were generated from the GLORYS12V1 reanalysis: https://doi.org/10.3389/feart.2021.698876

The tidal amplitudes and phases were generated from the TPXO model: https://doi.org/10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2 

The monthly Chlorophyll-a climatology was generated from the SeaWifs mission dataset: 10.5067/ORBVIEW-2/SEAWIFS/L3M/CHL/2018

The river runoff to ocean was generated from the GloFAS dataset: https://doi.org/10.24381/cds.a4fdd6b9 

The topography was generated from the Shuttle Radar Topography Mission: https://doi.org/10.1029/2019EA000658 and smoothed with a Cressman weighted interpolation scheme.

This collection does not include the JRA55-do atmospheric forcing dataset: https://doi.org/10.1016/j.ocemod.2018.07.002 

Steps to setup a regional configuration of CESM/MOM6 can be found here: https://github.com/NCAR/regional_cesm_mom6.git
DOI: 10.4121/905585ce-934e-49c8-8c2a-37f6628ccb5d
title: Data Files Used for Construction of an Extracellular Matrix-related Gene Model for Predicting Prognosis and Immune Features in Gastric Cancer

description: The extracellular matrix (ECM) is a major component of the tumor microenvironment and can influence tumor initiation, proliferation, invasion, and angiogenesis. However, published research on the relationship between ECM and gastric cancer (GC) prognosis is limited. There is currently no ECM-related prognostic risk model to predict the prognosis of GC patients. We screened the differentially expressed genes (DEGs) between normal and GC tissues based on The Cancer Genome Atlas (TCGA) database. ECM-related DEGs were selected and LASSO Cox regression analysis was performed for these DEGs. We established a prognostic risk model based on five ECM-related genes. A nomogram for clinical diagnosis was constructed based on Riskscore and clinical characteristics. The results showed that GC patients with lower RiskScore had better survival outcomes than those with higher RiskScore. The receiver operating characteristic (ROC) curve confirmed the accuracy of the prognostic risk signatures. The performance of the prognostic risk model was further validated in two external datasets.
DOI: 10.4121/905585ce-934e-49c8-8c2a-37f6628ccb5d.v1
title: Data Files Used for Construction of an Extracellular Matrix-related Gene Model for Predicting Prognosis and Immune Features in Gastric Cancer

description: The extracellular matrix (ECM) is a major component of the tumor microenvironment and can influence tumor initiation, proliferation, invasion, and angiogenesis. However, published research on the relationship between ECM and gastric cancer (GC) prognosis is limited. There is currently no ECM-related prognostic risk model to predict the prognosis of GC patients. We screened the differentially expressed genes (DEGs) between normal and GC tissues based on The Cancer Genome Atlas (TCGA) database. ECM-related DEGs were selected and LASSO Cox regression analysis was performed for these DEGs. We established a prognostic risk model based on five ECM-related genes. A nomogram for clinical diagnosis was constructed based on Riskscore and clinical characteristics. The results showed that GC patients with lower RiskScore had better survival outcomes than those with higher RiskScore. The receiver operating characteristic (ROC) curve confirmed the accuracy of the prognostic risk signatures. The performance of the prognostic risk model was further validated in two external datasets.
DOI: 10.15468/dl.rxrry4
title: Occurrence Download

description: A dataset listing the 146 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.72794 -31.39358,29.82398 -31.39147,29.82346 -31.30264,29.729 -31.30246,29.72794 -31.39358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 146 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011250-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/5cfdee1c-54bd-4cd7-bcae-4ac6972a8961
title: Data underlying the publication 'Atlas of Dutch distribution centres'

description: This dataset includes the data visualization scripts that are part of the second chapter in the PhD thesis Landscapes of Trade, the used (open) data, and resulting plots. There is also one figure of Chapter 1 and one figure of Chapter 7 included. Proprietary data used to calculate some of the numbers in Chapter 2 are not included in this repository.The set includes two zipped work folders:The folder 'Datavisualization' includes: a README file, two R scripts to produce plots and numbers used in the publication, along with underlying data folder and export folder.The folder Gateway Factor includes: a README file, two R scripts to treat the data and produce the regression analysis as shown in Chapter 2, with underlying data folder and export folder.
DOI: 10.4121/5cfdee1c-54bd-4cd7-bcae-4ac6972a8961.v1
title: Data underlying the publication 'Atlas of Dutch distribution centres'

description: This dataset includes the data visualization scripts that are part of the second chapter in the PhD thesis Landscapes of Trade, the used (open) data, and resulting plots. There is also one figure of Chapter 1 and one figure of Chapter 7 included. Proprietary data used to calculate some of the numbers in Chapter 2 are not included in this repository.The set includes two zipped work folders:The folder 'Datavisualization' includes: a README file, two R scripts to produce plots and numbers used in the publication, along with underlying data folder and export folder.The folder Gateway Factor includes: a README file, two R scripts to treat the data and produce the regression analysis as shown in Chapter 2, with underlying data folder and export folder.
DOI: 10.15468/dl.ba7hcb
title: Occurrence Download

description: A dataset containing 3652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Strongylocentrotus droebachiensis (O.F.Müller, 1776)",
 "Year 2000-2014"
 ]
}

 The dataset includes 3652 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011253-240506114902167/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.25808329
title: Supplementary data: Phylogenomic and comparative genomic analyses support a single evolutionary origin of flatfish asymmetry

description: The eye migration that characterizes flatfish cranial development provides a unique opportunity to study the molecular mechanisms underlying anatomical asymmetry. In a paper in Nature Genetics, Lü et al. reported a comparative genomic assessment of flatfish asymmetry and claimed that the two major lineages (Pleuronectoidei and Psettodoidei) are polyphyletic, each evolving asymmetric bodies convergently from different symmetric ancestors (flatfish polyphyly). Here we revisit this finding by analyzing three independent genome-scale datasets, showing that support for flatfish polyphyly results from a failure to accommodate lineage-specific variation in base composition. We also re-analyzed a genomic dataset to identify positively selected genes (PSGs) but using instead an inferred tree that groups flatfishes as monophyletic, implying a single evolutionary origin of the asymmetric body plan. These results suggest a key evolutionary role of thyroid hormones (THs) and bone morphogenetic proteins (BMPs), bridging evidence from the fossil record and single-species molecular assays.