cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13759414
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2022_121-181)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2022 (DOY: 121-181). Please click here to download the ELITE Daily SLDR product in 2022 (DOY: 182-243).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-05-01 ~ 2022-06-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13759415
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2022_121-181)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2022 (DOY: 121-181). Please click here to download the ELITE Daily SLDR product in 2022 (DOY: 182-243).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-05-01 ~ 2022-06-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.15468/dl.wubth8
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ansonia spinulifer (Mocquard, 1890)"
 ]
}

 The dataset includes 254 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016257-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13296
title: optional数据集测试
title: optional数据集测试

description: optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试
description: optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试optional数据集测试
DOI: 10.5281/zenodo.13758039
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2022_060-120)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2022 (DOY: 060-120). Please click here to download the ELITE Daily SLDR product in 2022 (DOY: 121-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-03-01 ~ 2022-04-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13758040
title: ELITE SLWR: global 1km daily SLDR at SIN Grid   (2022_060-120)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLDR product in 2022 (DOY: 060-120). Please click here to download the ELITE Daily SLDR product in 2022 (DOY: 121-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-03-01 ~ 2022-04-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13762468
title: Quantitative real-time PCR assays Q2 for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates

description: These are the data behind figures 2 to 7 in the paper: Brink AM, Kremp A and Gorokhova E (2024) Quantitative real-time PCR assays for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates. Front. Microbiol. 15:1421101. doi: 10.3389/fmicb.2024.1421101
DOI: 10.5281/zenodo.13762469
title: Quantitative real-time PCR assays Q2 for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates

description: These are the data behind figures 2 to 7 in the paper: Brink AM, Kremp A and Gorokhova E (2024) Quantitative real-time PCR assays for species-specific detection and quantification of Baltic Sea spring bloom dinoflagellates. Front. Microbiol. 15:1421101. doi: 10.3389/fmicb.2024.1421101
DOI: 10.6084/m9.figshare.27018736
title: Curie Surface and Lithospheric Thermal Structure in Mongolia-Baikal Area

description: In this paper, the modified centroid method is used to calculate the Curie depth .By integrating magnetic anomaly constraints with heat flow measurements, we have obtained a high-resolution lithospheric thermal structure for the Mongolia-Baikal region.
DOI: 10.5281/zenodo.13758900
title: Data augmentation with Generative AI for DoW attack detection in serverless architectures

description: Serverless computing is one of the latest paradigms in cloud computing. It offers a framework for the development of event-driven applications whose functions are executed in a scalable environment provided by the corresponding cloud platform. In this way, resources are obtained on demand, paying only for the time the function is running. This new model has new vulnerabilities and, therefore, new types of cybersecurity attacks. However, there are still not enough transaction datasets for serverless systems with a sufficient amount of data to develop advanced detection methods for this type of threat. Therefore, we present this dataset that has been built with generative AI to advance the development of models that can effectively deal with these threats.
DOI: 10.5281/zenodo.13758901
title: Data augmentation with Generative AI for DoW attack detection in serverless architectures

description: Serverless computing is one of the latest paradigms in cloud computing. It offers a framework for the development of event-driven applications whose functions are executed in a scalable environment provided by the corresponding cloud platform. In this way, resources are obtained on demand, paying only for the time the function is running. This new model has new vulnerabilities and, therefore, new types of cybersecurity attacks. However, there are still not enough transaction datasets for serverless systems with a sufficient amount of data to develop advanced detection methods for this type of threat. Therefore, we present this dataset that has been built with generative AI to advance the development of models that can effectively deal with these threats.
DOI: 10.15468/dl.ghcewy
title: Occurrence Download

description: A dataset containing 717811 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((17.49845 -35.05348,19.56051 -35.05348,19.56051 -33.32386,17.49845 -33.32386,17.49845 -35.05348))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 717811 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016258-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/99783
title: Numerical wave model output for June 2023, co-located with SWOT and buoy data for the analysis of swells from storm "Fabrice"

description: This dataset includes 4 main files obtained from WAVEWATCH III run using a model set up described in Alday and Ardhuin (2023) as "T707-GQM", and many ancillary files describing details of the model set up and basic reading and analysis tools that combine model and buoy data. This model is unique in including quasi-exact 4-wave interactions and coastal and iceberg wave reflection, but uses a relatively coarse spectral resolution (24 directions and 36 frequencies).
DOI: 10.17882/99836
title: Tools for the analysis of swells in SWOT satellite data - version 1

description: This software package and sample analyzed data is a first version of a suite of swell analysis from SWOT 250-m posting data (unsmoothed). The tools allow to select regions for spectral analysis, identify swell signature, remove the 180° ambiguity on the direction of propagation and subtract a noise level. More details can be found in :
Fabrice Ardhuin, Beatriz Molero, Alejandro Bohé, Frédéric Nouguier, Fabrice Collard, Isabel Houghton, Phase-resolved swells across ocean basins in SWOT altimetry data: revealing centimeter-scale wave heights including coastal reflection, Geophys. Res. Lett. (in review)
DOI: 10.23729/f7f9d95d-1e23-49e3-9c35-1d8e26c47bf7
title: AMR Test Configuration

description: Contains run configurations and inputs to reproduce the tests described in the paper this dataset accompanies, as well as scripts to evaluate performance of these tests.
DOI: 10.5281/zenodo.10009971
title: Thomas_et_al_2023_Seed_density_and_limiting_similarity_to_reduce_invasive_grass_performance

description: Here we aimed to compare the effect of two seed mixes and three density sowing treatments on the performance of the invasive grass Eragrostis plana, one of the major threats to the Campos Sulinos grasslands, at South Brazil. The experiment was carried out in a greenhouse experiment in Porto Alegre, Brazil. The seed mixes have the same species, but differ in terms of species abundance.
DOI: 10.5281/zenodo.10970629
title: ZooMS identification of a whale bone tool from Bronze Age Heiloo, the Netherlands

description: This dataset contains the ZooMS data used in the palaeoproteomic identification of a whale bone tool from Bronze Age Heiloo, the Netherlands. The same project was also analysed using LC-MS/MS. The reference to the data repository containing the LC-MS/MS data can be found in the associated publication.
DOI: 10.5281/zenodo.11227247
title: Ionospheric Scintillation Data over Indonesia

description: These scintillation data are obtained from Kototabang (100.3E, 0.2S), Pontianak (109.3E, 0.02S), and Manado (124.9E,1.5N) stations in Indonesia. These datasets were used to create a scientific manuscript titled "Longitudinal range of the eastward-traveling equatorial plasma bubble inducing scintillation" by P. Abadi et al., which is published in the Space Weather Journal (https://doi.org/10.1029/2024SW003908).

 

In addition to this dataset citation, please cite the following reference when you use this dataset:

Abadi, P., Otsuka, Y., Saito, S., Yamamoto, M., Perwitasari, S., Muafiry, I. N., et al. (2024). Longitudinal range of the eastward‐traveling equatorial plasma bubble inducing ionospheric scintillation. Space Weather, 22, e2024SW003908. https://doi.org/10.1029/2024SW003908
DOI: 10.5281/zenodo.13255840
title: Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure

description: The geological basemap used in the study is from Kersten et al., 2021.
DOI: 10.6084/m9.figshare.25606272.v1
title: fMRI_data

description: This is the dataset for the simulated fMRI used in the article "Neural Integral Equations" https://arxiv.org/abs/2209.15190, https://github.com/emazap7/ANIE
DOI: 10.7289/v5rf5s18
title: Geological samples available for research from the PRR
DOI: 10.7303/syn27624812
title: Cross-platform dataset of multiplex fluorescent cellular object image annotations
DOI: 10.15468/dl.4rfzq4
title: Occurrence Download

description: A dataset containing 7681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.88530 -38.28323,-41.16753 -38.28323,-41.16753 -4.31351,-116.88530 -4.31351,-116.88530 -38.28323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senegalia Raf."
 ]
}

 The dataset includes 7681 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114958-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5p2wt
title: Occurrence Download

description: A dataset containing 2778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-110.58050 -48.81651,-7.92425 -48.81651,-7.92425 -7.77159,-110.58050 -7.77159,-110.58050 -48.81651))",
 "HasCoordinate is true",
 "TaxonKey is Prosopis L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2778 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070540-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.859211
title: Availability of sequences of aquatic and terrestrial taxa in genetic databases (GenBank and BOLD - the Barcode of Life Database) in 2010, 2012 and 2016

description: Correct species identifications are of tremendous importance for invasion ecology, as mistakes could lead to misdirecting limited resources against harmless species or inaction against problematic ones. DNA barcoding is becoming a promising and reliable tool for species identifications, however the efficacy of such molecular taxonomy depends on gene region(s) that provide a unique sequence to differentiate among species and on availability of reference sequences in existing genetic databases. Here, we assembled a list of aquatic and terrestrial non-indigenous species (NIS) and checked two leading genetic databases for corresponding sequences of six genome regions used for DNA barcoding. The genetic databases were checked in 2010, 2012, and 2016. All four aquatic kingdoms (Animalia, Chromista, Plantae and Protozoa) were initially equally represented in the genetic databases, with 64, 65, 69, and 61% of NIS included, respectively. Sequences for terrestrial NIS were present at rates of 58 and 78% for Animalia and Plantae, respectively. Six years later, the number of sequences for aquatic NIS increased to 75, 75, 74, and 63% respectively, while those for terrestrial NIS increased to 74 and 88% respectively. Genetic databases are marginally better populated with sequences of terrestrial NIS of plants compared to aquatic NIS and terrestrial NIS of animals. The rate at which sequences are added to databases is not equal among taxa. Though some groups of NIS are not detectable at all based on available data - mostly aquatic ones - encouragingly, current availability of sequences of taxa with environmental and/or economic impact is relatively good and continues to increase with time.
description: Supplement to: Briski, Elizabeta; Ghabooli, Sara; Bailey, Sarah A; MacIsaac, Hugh J (2016): Are genetic databases sufficiently populated to detect non-indigenous species? Biological Invasions, 18(7), 1911-1922
DOI: 10.17882/98990
title: Currents Measurements from DeepLev mooring station

description: Sediment trap dataset and 234Th profiles (deep water excesses and deficits) reveal that particulate organic carbon (POC) export at the highly oligotrophic Levantine Sea is dominated by lateral transport from the nearby margin. These intermediate nepheloid layers (INL) operate at multi-depth, with the silt-to-clay size particulate matter (PM) fraction transported at water depths of about 100-500 m, while finer fraction arrives also at deeper depths. The shallow NIL is triggered by winter storms, manipulated by coastal flash floods and shelf resuspension and assisted by cross-shore currents, which allow the arrival of PM at a distance of 50 km within about 10 days. The deeper INL could be related to sediments initially driven to depth by density currents. Our data show that inter-annual differences in sediment trap fluxes were related to changes in both the intensity of coastal floods and current velocity. The frequent observation of deep-water 234Th excesses during a (relatively) low export winter (2018) is related to lessened cleansing of the water column, i.e. reduced removal of fine-grained PM by sinking coarser-grained material. These observations highlight the importance of winter storm intensity in the POC budget of marginal seas like the Levantine Basin even in areas with limited river discharge. This further suggests that the anticipated increase in extreme weather events due to the on-going climate change should have an impact on this coastal-deep sea conveyor and on POC export in the Levantine Basin.
DOI: 10.17909/3b3d-we94
title: Asteroid Crossing Events from "False-Positive Self-lensing Events: TESS Observing Asteroid-Crossing Events in Disguise"

description: We report observations of four asteroid-crossing events in Transiting Exoplanet Survey Satellite (TESS) light curves masquerading as self-lensing pulses from binary systems containing main-sequence stars and black-hole or neutron-star companions.  The observed changes in flux and the durations of the events appear to be consistent with self-lensing pulses provided that (a) the compact-object mass is greater than 2 solar masses, and (b) the transit is not a perfect alignment, i.e., the center of the lens is not passing directly in front of the center of the source.  We examine the relationship between the physical characteristics of these asteroid crossings and the derived parameters of our self-lensing model fits to the data sets. As the search for new self-lensing systems continues, we caution observers about such false-positive signals imitating real self-lensing pulses.
DOI: 10.17909/3cbx-hb48
title: IUE data HD 182308
DOI: 10.17909/4hw4-4x15
title: IUE data HD 190229
DOI: 10.17909/6t82-4360
title: Data