cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kyv7j2
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothriocline laxa N.E.Br."
 ]
}

 The dataset includes 137 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020314-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v58w3bcr
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Global Level-3 Vegetation Health and Drought Products (VHDP) from NDE

description: This Level-3 (L3) Environmental Data Record (EDR) provides a Global (1 km) Vegetation Health and Drought product (VHDP) detected with the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi-NPP and NOAA-20 satellites. This weekly product provides estimates of the Vegetation Index (VCI), Temperature Index (TCI) and Vegetation Health Index (VHI). These indices are designed to characterize moisture conditions (VCI), thermal conditions (TCI) and total vegetation health (VHI) conditions in response to weather impacts. This dataset is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS) and is distributed by the Comprehensive Large Array-Data Stewardship System (CLASS) in the NetCDF-4 file format with metadata attributes included. Note: The 4 km Vegetation Health and Drought product was deprecated in April 2020 and replaced with the 1 km product.
DOI: 10.7289/v5dn434x
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Global and Regional Level-3 Green Vegetation Fraction (GVF) from NDE

description: This Level-3 (L3) Environmental Data Record (EDR) provides Global (4 km) and Regional (1 km) Green Vegetation Fraction (GVF) detected with the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi-NPP and NOAA-20 satellites. This weekly product is used as an input to land surface models and numerical weather predicton (NWP) models. The data are produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS) and is distributed by the Comprehensive Large Array-Data Stewardship System (CLASS) in the NetCDF-4 file format with metadata attributes included.
DOI: 10.7289/v5p55kkk
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Daily Level-3 Polar Winds for the Southern Hemisphere and Northern Hemisphere from NDE

description: This Level-3 (L3) Environmental Data Record (EDR) contains Polar Winds detected with the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi-NPP and NOAA-20 satellites. This product includes Northern Hemisphere and Southern Hemisphere grids, each extending poleward from 65 degrees. Tropospheric winds are measured by tracking the motion of cloud features in the overlapping region of three successive orbits. A triplet of images is used to facilitate consistency checking and quality control. Wind products include wind speed, direction, and height at high latitudes. This daily product is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS) and is distributed by the Comprehensive Large Array-Data Stewardship System (CLASS) in the NetCDF-4 file format with metadata attributes included.
DOI: 10.7289/v5jd4tvv
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Daily Level-3 Polar Winds for the Southern Hemisphere and Northern Hemisphere from NDE

description: This Level-3 (L3) Environmental Data Record (EDR) contains Polar Winds detected with the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi-NPP and NOAA-20 satellites. This product includes Northern Hemisphere and Southern Hemisphere grids, each extending poleward from 65 degrees. Tropospheric winds are measured by tracking the motion of cloud features in the overlapping region of three successive orbits. A triplet of images is used to facilitate consistency checking and quality control. Wind products include wind speed, direction, and height at high latitudes. This daily product is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS) and is distributed by the Comprehensive Large Array-Data Stewardship System (CLASS) in the NetCDF-4 file format with metadata attributes included.
DOI: 10.7289/v5736nz0
title: NOAA JPSS Ozone Mapping and Profiler Suite (OMPS) Nadir Total Column Sensor Data Record (SDR) from IDPS

description: This global Level-1B (L1B) Sensor Data Record (SDR) from the Ozone Mapping and Profiling Suite (OMPS) provides calibrated and geolocated radiance and reflectance data produced from OMPS Raw Data Records (RDR). The data are derived from ultraviolet, visible, and near infrared observations (between 300-380 nm) detected by the OMPS Nadir Total Column Mapper at a spatial resolution of 50 km at nadir. This product is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS) and is distributed by the Comprehensive Large Array-Data Stewardship System (CLASS) as aggregated 101 minute (full orbit) files consisting of 163 (37 second) granules in the HDF5 file format with metadata attributes included.
DOI: 10.48597/cwhr-sw2x
title: Measurement of PBDEs (polybrominated diphenyl ethers) at Sofienbergparken

description: Measurement of PBDEs (polybrominated diphenyl ethers) at Sofienbergparken
DOI: 10.7289/v5x34vh3
title: NOAA JPSS Microwave Integrated Retrieval System (MIRS) Advanced Technology Microwave Sounder (ATMS) Sounding Products from NDE

description: This dataset contains temperature and humidity profiles from the NOAA Microwave Integrated Retrieval System (MIRS) using sensor data from the Advanced Technology Microwave Sounder (ATMS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite. ATMS is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz. MIRS was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). The sounding (SND) products file contains temperature and water vapor profiles at 850, 900 and 950 millibars. Quality control metrics and flags defining retrieval product quality are also provided. Each product file encompasses one 32-second granule of data, corresponding to 4 scan lines of ATMS data. The products are distributed in netCDF-4 file format with metadata attributes included.
DOI: 10.7289/v51v5c1x
title: NOAA JPSS Microwave Integrated Retrieval System (MIRS) Advanced Technology Microwave Sounder (ATMS) Precipitation and Surface Products from NDE

description: This dataset contains two-dimensional precipitation and surface products from the JPSS Microwave Integrated Retrieval System (MIRS) using sensor data from the Advanced Technology Microwave Sounder (ATMS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite. ATMS is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz. MIRS was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). The precipitation and surface products file, or imaging (IMG) products file, contains total precipitable water (TPW), skin temperature, emissivity by channel, rain rate, cloud liquid water (CLW), rain water path (RWP), ice water path (IWP), liquid water path (LWP), sea ice concentration, snow water equivalent (SWE), snow cover extent, and surface type classification. Quality control metrics and flags defining retrieval product quality are also provided. Each product file encompasses one 32-second granule of data, corresponding to 4 scan lines of ATMS data. The products are distributed in netCDF-4 file format with metadata attributes included.
DOI: 10.7289/v55m63sp
title: NOAA JPSS Advanced Technology Microwave Sounder (ATMS) based Tropical Cyclone (TC) Products from NDE

description: The JPSS Microwave Sounder-based Tropical Cyclone (TC) Products provide estimates of tropical cyclone maximum wind speed, minimum sea level pressure, radii of 34, 50, and 64 knot winds in 4 quadrants relative to the storm center, and balanced horizontal winds from 1000 to 200 mb within 600 km of the storm center. The product includes two output data types: 1) ATMS Tropical Cyclone Wind Products Radial/Height Cross Sections (RZA), and 2) ATMS Tropical Cyclone Wind Products Gridded Heights (XYA). Coverage is in six Global tropical cyclone basins, with a 6 x 6 degree domain centered on each active tropical cyclone. Spatial resolution is a 0.2 degree latitude/longitude grid for the balanced winds, and a point resolution for the intensity/radii. Temporal resolution is every 6 hours, roughly 3 hours after meteorological synoptic time. The number of products produced per year depends on the number of tracked storms and their duration. Basin identifiers are determined by the location of the storm when it first forms and storms maintain that basin classification even if they travel into other basins. The product was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). It is distributed in netCDF-4 file format with metadata attributes included.
DOI: 10.5281/zenodo.11203389
title: La Palma 2022 Field Campaign - 360 degree imagery

description: 360 degree photospheres acquired during the 2022 winter data acquisition campaign targeting the La Palma 2021 volcanic eruption.
DOI: 10.5281/zenodo.11203390
title: La Palma 2022 Field Campaign - 360 degree imagery

description: 360 degree photospheres acquired during the 2022 winter data acquisition campaign targeting the La Palma 2021 volcanic eruption.
DOI: 10.5281/zenodo.11198609
title: Svalbox-DOM_2022-0016

description: Model description: The model features outcrops and basement at De Geerfjellet.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.11198610
title: Svalbox-DOM_2022-0016

description: Model description: The model features outcrops and basement at De Geerfjellet.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v1.7.2.12040).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.7289/v5wm1bg5
title: NUCAPS: NOAA Unique Combined Atmospheric Processing System Cloud-Cleared Radiances (CCR)

description: This dataset consists of Cloud-Cleared Radiances (CCRs) from the NOAA Unique Combined Atmospheric Processing System (NUCAPS). NUCAPS was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). Cloud clearing is the process of computing the clear column radiance for each Cross-track Infrared Sounder (CrIS) channel. The CrIS sensor onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite is a Fourier transform spectrometer with a total of 1,305 spectral channels covering the longwave IR (9.14 - 15.38 um), midwave IR (5.71 - 8.26 um) and shortwave IR (3.92 - 4.64 um) wavelengths. CrIS scans at a 2200 km swath width, with each scan containing 30 Fields of Regard (FORs) viewed on the Earth's surface. Each FOR contains 9 Fields of View (FOVs) simultaneously measured as a 3 x 3 array. The circular FOVs have a diameter of 14 km at nadir. NUCAPS produces CCRs from the CrIS FORs that are co-located with the Advanced Technology Microwave Sounder (ATMS) also onboard the S-NPP satellite. The full spectrum CCRs are produced along with the standard NUCAPS Environmental Data Record (EDR) products, as the radiances are used to retrieve the EDR products. Each product file encompasses one 32-second granule of data, corresponding to 4 scan lines of CrIS/ATMS data. The products are distributed in netCDF-4 file format with metadata attributes included.
DOI: 10.7289/v5rv0krf
title: NUCAPS: NOAA Unique Combined Atmospheric Processing System Outgoing Longwave Radiation (OLR)

description: This data set consists of Outgoing Longwave Radiation (OLR) from the NOAA Unique Combined Atmospheric Processing System (NUCAPS). NUCAPS was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). The Cross-track Infrared Sounder (CrIS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite is a Fourier transform spectrometer with a total of 1,305 spectral channels covering the longwave IR (9.14 - 15.38 um), midwave IR (5.71 - 8.26 um) and shortwave IR (3.92 - 4.64 um) wavelengths. The Advanced Technology Microwave Sounder (ATMS) also onboard the S-NPP satellite is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz. Each product file encompasses one 32-second granule of data, corresponding to 4 scan lines of CrIS/ATMS data. The products are distributed in netCDF-4 file format with metadata attributes included.
DOI: 10.7289/v5br8q7n
title: NOAA JPSS Advanced Technology Microwave Sounder (ATMS) Sensor Data Record (SDR) from IDPS

description: The Advanced Technology Microwave Sounder (ATMS) on board Suomi
 NPP, NOAA-20, and NOAA-21 is a 22 channel microwave sounder that provides continuous
 cross-track scanning in an 824 km sun-synchronous orbit. This Sensor Data Record
 (SDR) from ATMS provides Level 1b calibrated and geolocated radiance data produced
 from the ATMS Raw Data Record (RDR) and Temperature Data Record (TDR). This
 operational SDR is used to produce ATMS Environmental Data Records (EDR) for
 measuring atmospheric temperature and moisture. ATMS SDR data obtained from the NOAA
 Comprehensive Large Array-Data Stewardship System (CLASS) are distributed as
 aggregated 8 minute files consisting of 15 granules in the Hierarchical Data Format
 v.5 (HDF5) with metadata attributes included.
DOI: 10.6084/m9.figshare.25836584.v1
title: Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks

description: Angiotensin-converting enzyme 2 (ACE2) is identified as the functional receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the ongoing global coronavirus disease-2019 (COVID-19) pandemic. This study aimed to elucidate potential therapeutic avenues by scrutinizing approved drugs through the identification of the genetic signature associated with SARS-CoV-2 infection in individuals with asthma. This exploration was conducted through an integrated analysis, encompassing interaction networks between the ACE2 receptor and common host (co-host) factors implicated in COVID-19/asthma comorbidity. The comprehensive analysis involved the identification of common differentially expressed genes (cDEGs) and hub-cDEGs, functional annotations, interaction networks, gene set variation analysis (GSVA), gene set enrichment analysis (GSEA), and module construction. Interaction networks were used to identify overlapping disease modules and potential drug targets. Computational biology and molecular docking analyzes were utilized to discern functional drug modules. Subsequently, the impact of the identified drugs on the expression of hub-cDEGs was experimentally validated using a mouse model. A total of 153 cDEGs or co-host factors associated with ACE2 were identified in the COVID-19 and asthma comorbidity. Among these, seven significant cDEGs and proteins – namely, <i>HRAS, IFNG, JUN, CDH1, TLR4, ICAM1</i>, and <i>SCD</i>—were recognized as pivotal host factors linked to ACE2. Regulatory network analysis of hub-cDEGs revealed eight top-ranked transcription factors (TFs) proteins and nine microRNAs as key regulatory factors operating at the transcriptional and post-transcriptional levels, respectively. Molecular docking simulations led to the proposal of 10 top-ranked repurposable drug molecules (Rapamycin, Ivermectin, Everolimus, Quercetin, Estradiol, Entrectinib, Nilotinib, Conivaptan, Radotinib, and Venetoclax) as potential treatment options for COVID-19 in individuals with comorbid asthma. Validation analysis demonstrated that Rapamycin effectively inhibited <i>ICAM1</i> expression in the HDM-stimulated mice group (<i>p</i> &lt; 0.01). This study unveils the common pathogenesis and genetic signature underlying asthma and SARS-CoV-2 infection, delineated by the interaction networks of ACE2-related host factors. These findings provide valuable insights for the design and discovery of drugs aimed at more effective therapeutics within the context of lung disease comorbidities.
DOI: 10.7289/v5dv1gw8
title: Global Surface Warming Hiatus Analysis Data

description: These data were used to conduct the study of the global surface warming hiatus, an apparent decrease in the upward trend of global surface temperatures since 1998. The data are from 1880-2014 for global land, ocean, and land-ocean areas. The data include both gridded, time series, uncorrected and corrected data. An additional analysis specific to the Arctic is included. There is an Old Analysis and New Analysis; the old being the current operational version running at NCEI at the time. The New analysis uses ERSSTv4 and land surface air temperature data from the ISTI Databank with adjustments applied using the algorithm operational for GHCN-M v3. There are files in the Old Analysis and New Analysis containing the global 5X5 degree gridded anomalies. Anomalies are based on the climatology from 1971 to 2000.
DOI: 10.7289/v500004w
title: NOAA Fundamental Climate Data Record (CDR) of AMSU-B and MHS Brightness Temperature, Version 1

description: The NOAA Climate Data Record (CDR) of Advanced Microwave Sounding Unit-B (AMSU-B) and Microwave Humidity Sounder (MHS) brightness temperature (Tb) in "window channels" and "water vapor" channels. The data cover a time period from 1998 to 2010. The data is roughly at 16 km resolution over the entire globe with 90 observations per scan using channels - 89, 150, 157, 183 +/- 1, 183 +/- 3, 183 +/- 7, 190 GHz. The AMSU-B sensor was flown on NOAA-15, -16, and -17 satellites. The MHS sensor was flown on NOAA-18, -19 and MetOp-A satellites and replaced the AMSU-B sensor (which has very similar attributes) and was flown on NOAA-15, -16 and -17. Visual inspections and verification of the various corrections were applied to the data to improve data accuracy.
DOI: 10.15468/dl.942zme
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Seychelles, Costa Rica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coffea canephora Pierre ex A.Froehner"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020316-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5v69gm6
title: NOAA Climate Data Records (CDR) of AMSU-A/B and MHS Hydrological Properties, Version 1

description: The NOAA Hydrological Properties for Applications Thematic Climate Data Record (TCDR) consist of Advanced Microwave Sounding Unit-A (AMSU-A), Advanced Microwave Sounding Unit-B (AMSU-B) and Microwave Humidity Sounder (MHS) data to help with the long term monitoring of the global water cycle. The data cover a time period from 1998 to 2010, at roughly a 48 km (AMSU-A) and a 16 km resolution (AMSU-B/MHS) resolution over the entire globe with 30 (AMSU-A) and 90 (AMSU-B/MHS) observations per scan. Visual inspections and verification of the various corrections were applied to the data to improve data accuracy. AMSU-A TCDR variables consist of Total Precipitable Water (TPW), Cloud Liquid Water (CLW), Sea-Ice concentration (SIC), Land surface temperature (LST), Land surface emissivity (23, 31, 50 GHz) (LSE). AMSU-B/MHS TCDR variables consist of Ice water path (IWP), rain rate (RR), snow cover (SC) and snow water equivalent (SWE). The data are ideal for helping with things like validating climate model simulations; identifying climate extremes; validating other observations and more.