cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e223443v1
title: 2022-2024 MBDA Grantees

description: This dataset contains public information on grantees of the Minority Business Development Agency (MBDA) programs, covering grants awarded since 2022. It includes data on all grant-funded centers across all MBDA programs, providing information on each grantee’s including location, contact details, service area, and its associated MBDA program.<br><br>Additional information includes the status of each grantee (whether they are currently funded and operating), grant award identifiers, and a brief description of the grantees services and specialities. Detailed information is provided in the data schema provided below.<br><br>MBDA’s mission is to promote the growth and global competitiveness of Minority Business Enterprises (MBE) in order to unlock the country’s full economic potential. MBDA programs provide support for MBEs through a variety of services aimed at improving access to capital, contracts, and markets. These programs help entrepreneurs overcome barriers to success and expand their businesses by offering tailored technical assistance, business consulting, and access to networks.<br><br>Note: the original website is titled 2002-2024 grantees but the description refers to grants awarded since 2022<br>
DOI: 10.17632/fg3tzbpwcc
title: Development of New Genipin Derivatives as Potential NASH Treatments: Design, Synthesis and Action Mechanism

description: Nonalcoholic steatohepatitis (NASH) is a multifaceted liver disease. Endoplasmic reticulum stress (ERS), a key driver in NASH pathogenesis, triggers metabolic irregularities, liver steatosis, and inflammation. Genipin, an iridoid from the traditional Chinese medicine Gardenia jasminoides, has shown significant effects against ERS. In the current work, 33 new genipin derivatives were designed and synthesized to evaluate their potential to treat NASH. Notably, G15 emerged as the most potent candidate, significantly reducing lipid accumulation induced by free fatty acids (FFAs) in L-02 cells. Further investigation indicated that G15's alleviation of ERS primarily involved the inositol-requiring enzyme 1(IRE1) signaling pathway, and that G15 can effectively down-regulate the IRE1 protein level. The downstream expression of X-box binding protein 1(XBP1) and signal transducer and activator of transcription 3(STAT3) proteins are confirmed by Western blot analysis. The results showed that G15 treatment inhibited FFA-induced nitric oxide (NO) production in a concentration-dependent manner, and decreased the production of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α. Collectively, these findings underscore G15's potential as a leading candidate in the development of therapeutics for the treatment of NASH, with IRE1 inhibition being a viable target for intervention.
DOI: 10.17632/fg3tzbpwcc.3
title: Development of New Genipin Derivatives as Potential NASH Treatments: Design, Synthesis and Action Mechanism

description: Nonalcoholic steatohepatitis (NASH) is a multifaceted liver disease. Endoplasmic reticulum stress (ERS), a key driver in NASH pathogenesis, triggers metabolic irregularities, liver steatosis, and inflammation. Genipin, an iridoid from the traditional Chinese medicine Gardenia jasminoides, has shown significant effects against ERS. In the current work, 33 new genipin derivatives were designed and synthesized to evaluate their potential to treat NASH. Notably, G15 emerged as the most potent candidate, significantly reducing lipid accumulation induced by free fatty acids (FFAs) in L-02 cells. Further investigation indicated that G15's alleviation of ERS primarily involved the inositol-requiring enzyme 1(IRE1) signaling pathway, and that G15 can effectively down-regulate the IRE1 protein level. The downstream expression of X-box binding protein 1(XBP1) and signal transducer and activator of transcription 3(STAT3) proteins are confirmed by Western blot analysis. The results showed that G15 treatment inhibited FFA-induced nitric oxide (NO) production in a concentration-dependent manner, and decreased the production of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α. Collectively, these findings underscore G15's potential as a leading candidate in the development of therapeutics for the treatment of NASH, with IRE1 inhibition being a viable target for intervention.
DOI: 10.26138/sxs:bbh:3090v3.0
title: Binary black-hole simulation SXS:BBH:3090
DOI: 10.26138/sxs:bbh:3021v3.0
title: Binary black-hole simulation SXS:BBH:3021
DOI: 10.26138/sxs:bbh:2658v3.0
title: Binary black-hole simulation SXS:BBH:2658
DOI: 10.26138/sxs:bbh:3541v3.0
title: Binary black-hole simulation SXS:BBH:3541
DOI: 10.26138/sxs:bbh:3570v3.0
title: Binary black-hole simulation SXS:BBH:3570
DOI: 10.26138/sxs:bbh:3207v3.0
title: Binary black-hole simulation SXS:BBH:3207
DOI: 10.26138/sxs:bbh:2989v3.0
title: Binary black-hole simulation SXS:BBH:2989
DOI: 10.26138/sxs:bbh:3499v3.0
title: Binary black-hole simulation SXS:BBH:3499
DOI: 10.26138/sxs:bbh:3359v3.0
title: Binary black-hole simulation SXS:BBH:3359
DOI: 10.26138/sxs:bbh:3352v3.0
title: Binary black-hole simulation SXS:BBH:3352
DOI: 10.15468/dl.9ab4bf
title: Occurrence Download

description: A dataset listing the 514 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2019-2019"
 ]
}

 The dataset's 514 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017111-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:2825v3.0
title: Binary black-hole simulation SXS:BBH:2825
DOI: 10.26138/sxs:bbh:3533v3.0
title: Binary black-hole simulation SXS:BBH:3533
DOI: 10.26138/sxs:bbh:2908v3.0
title: Binary black-hole simulation SXS:BBH:2908
DOI: 10.26138/sxs:bbh:3578v3.0
title: Binary black-hole simulation SXS:BBH:3578
DOI: 10.26138/sxs:bbh:2922v3.0
title: Binary black-hole simulation SXS:BBH:2922
DOI: 10.15468/dl.52ar9m
title: Occurrence Download

description: A dataset containing 18604 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelobates fuscus (Laurenti, 1768)"
 ]
}

 The dataset includes 18604 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017116-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:3386v3.0
title: Binary black-hole simulation SXS:BBH:3386
DOI: 10.26138/sxs:bbh:2976v3.0
title: Binary black-hole simulation SXS:BBH:2976
DOI: 10.26138/sxs:bbh:2941v3.0
title: Binary black-hole simulation SXS:BBH:2941
DOI: 10.26138/sxs:bbh:2840v3.0
title: Binary black-hole simulation SXS:BBH:2840
DOI: 10.26138/sxs:bbh:2871v3.0
title: Binary black-hole simulation SXS:BBH:2871
DOI: 10.26138/sxs:bbh:2846v3.0
title: Binary black-hole simulation SXS:BBH:2846
DOI: 10.26138/sxs:bbh:3281v3.0
title: Binary black-hole simulation SXS:BBH:3281
DOI: 10.26138/sxs:bbh:3404v3.0
title: Binary black-hole simulation SXS:BBH:3404
DOI: 10.26138/sxs:bbh:3230v3.0
title: Binary black-hole simulation SXS:BBH:3230
DOI: 10.26138/sxs:bbh:3613v3.0
title: Binary black-hole simulation SXS:BBH:3613
DOI: 10.26138/sxs:bbh:2905v3.0
title: Binary black-hole simulation SXS:BBH:2905
DOI: 10.26138/sxs:bbh:2883v3.0
title: Binary black-hole simulation SXS:BBH:2883
DOI: 10.26138/sxs:bbh:3075v3.0
title: Binary black-hole simulation SXS:BBH:3075
DOI: 10.26138/sxs:bbh:3238v3.0
title: Binary black-hole simulation SXS:BBH:3238
DOI: 10.26138/sxs:bbh:3492v3.0
title: Binary black-hole simulation SXS:BBH:3492
DOI: 10.26138/sxs:bbh:3419v3.0
title: Binary black-hole simulation SXS:BBH:3419
DOI: 10.26138/sxs:bbh:3273v3.0
title: Binary black-hole simulation SXS:BBH:3273
DOI: 10.26138/sxs:bbh:3002v3.0
title: Binary black-hole simulation SXS:BBH:3002
DOI: 10.26138/sxs:bbh:3449v3.0
title: Binary black-hole simulation SXS:BBH:3449
DOI: 10.26138/sxs:bbh:2739v3.0
title: Binary black-hole simulation SXS:BBH:2739
DOI: 10.26138/sxs:bbh:3129v3.0
title: Binary black-hole simulation SXS:BBH:3129
DOI: 10.26138/sxs:bbh:3103v3.0
title: Binary black-hole simulation SXS:BBH:3103
DOI: 10.26138/sxs:bbh:3565v3.0
title: Binary black-hole simulation SXS:BBH:3565
DOI: 10.26138/sxs:bbh:3085v3.0
title: Binary black-hole simulation SXS:BBH:3085
DOI: 10.17632/hz6s4zv333.1
title: Raw data

description: The priming effects of biodegradable microplastics in various soil aggregates of paddy soils
DOI: 10.26138/sxs:bbh:3198v3.0
title: Binary black-hole simulation SXS:BBH:3198
DOI: 10.26138/sxs:bbh:3462v3.0
title: Binary black-hole simulation SXS:BBH:3462
DOI: 10.26138/sxs:bbh:3182v3.0
title: Binary black-hole simulation SXS:BBH:3182
DOI: 10.26138/sxs:bbh:2968v3.0
title: Binary black-hole simulation SXS:BBH:2968
DOI: 10.26138/sxs:bbh:3299v3.0
title: Binary black-hole simulation SXS:BBH:3299
DOI: 10.26138/sxs:bbh:3305v3.0
title: Binary black-hole simulation SXS:BBH:3305
DOI: 10.26138/sxs:bbh:3333v3.0
title: Binary black-hole simulation SXS:BBH:3333
DOI: 10.26138/sxs:bbh:2873v3.0
title: Binary black-hole simulation SXS:BBH:2873
DOI: 10.26138/sxs:bbh:3378v3.0
title: Binary black-hole simulation SXS:BBH:3378
DOI: 10.26138/sxs:bbh:2838v3.0
title: Binary black-hole simulation SXS:BBH:2838
DOI: 10.26138/sxs:bbh:3402v3.0
title: Binary black-hole simulation SXS:BBH:3402
DOI: 10.26138/sxs:bbh:2943v3.0
title: Binary black-hole simulation SXS:BBH:2943
DOI: 10.17632/c7k4xbs8zv.1
title: TMEM63B functions as a mammalian hyperosmolar sensor for thirst

description: Raw and analyzed data
DOI: 10.26138/sxs:bbh:3370v3.0
title: Binary black-hole simulation SXS:BBH:3370
DOI: 10.26138/sxs:bbh:2931v3.0
title: Binary black-hole simulation SXS:BBH:2931
DOI: 10.26138/sxs:bbh:3246v3.0
title: Binary black-hole simulation SXS:BBH:3246
DOI: 10.26138/sxs:bbh:2836v3.0
title: Binary black-hole simulation SXS:BBH:2836
DOI: 10.26138/sxs:bbh:3587v3.0
title: Binary black-hole simulation SXS:BBH:3587
DOI: 10.26138/sxs:bbh:3341v3.0
title: Binary black-hole simulation SXS:BBH:3341
DOI: 10.26138/sxs:bbh:3524v3.0
title: Binary black-hole simulation SXS:BBH:3524
DOI: 10.26138/sxs:bbh:2897v3.0
title: Binary black-hole simulation SXS:BBH:2897
DOI: 10.26138/sxs:bbh:2980v3.0
title: Binary black-hole simulation SXS:BBH:2980
DOI: 10.26138/sxs:bbh:2807v3.0
title: Binary black-hole simulation SXS:BBH:2807
DOI: 10.26138/sxs:bbh:3580v3.0
title: Binary black-hole simulation SXS:BBH:3580
DOI: 10.26138/sxs:bbh:2726v3.0
title: Binary black-hole simulation SXS:BBH:2726
DOI: 10.26138/sxs:bbh:3156v3.0
title: Binary black-hole simulation SXS:BBH:3156
DOI: 10.26138/sxs:bbh:3531v3.0
title: Binary black-hole simulation SXS:BBH:3531
DOI: 10.26138/sxs:bbh:2695v3.0
title: Binary black-hole simulation SXS:BBH:2695
DOI: 10.26138/sxs:bbh:3436v3.0
title: Binary black-hole simulation SXS:BBH:3436
DOI: 10.26138/sxs:bbh:3060v3.0
title: Binary black-hole simulation SXS:BBH:3060
DOI: 10.26138/sxs:bbh:3051v3.0
title: Binary black-hole simulation SXS:BBH:3051
DOI: 10.26138/sxs:bbh:3357v3.0
title: Binary black-hole simulation SXS:BBH:3357
DOI: 10.26138/sxs:bbh:2910v3.0
title: Binary black-hole simulation SXS:BBH:2910
DOI: 10.17632/7b5mgmykw2.1
title: EPD data pulled from EC3 and Python code for performing probabilistic whole-building life cycle assessment with kernel density estimation

description: These data were almost entirely collected from Environmental Product Declarations (EPDs) pulled from the Embodied Carbon in Construction Calculator. There are some extra EPDs used to supplement the dataset.
DOI: 10.26138/sxs:bbh:2924v3.0
title: Binary black-hole simulation SXS:BBH:2924
DOI: 10.26138/sxs:bbh:2887v3.0
title: Binary black-hole simulation SXS:BBH:2887
DOI: 10.26138/sxs:bbh:3254v3.0
title: Binary black-hole simulation SXS:BBH:3254
DOI: 10.26138/sxs:bbh:2987v3.0
title: Binary black-hole simulation SXS:BBH:2987
DOI: 10.26138/sxs:bbh:3010v3.0
title: Binary black-hole simulation SXS:BBH:3010
DOI: 10.26138/sxs:bbh:2824v3.0
title: Binary black-hole simulation SXS:BBH:2824
DOI: 10.26138/sxs:bbh:3257v3.0
title: Binary black-hole simulation SXS:BBH:3257
DOI: 10.26138/sxs:bbh:3480v3.0
title: Binary black-hole simulation SXS:BBH:3480
DOI: 10.26138/sxs:bbh:3056v3.0
title: Binary black-hole simulation SXS:BBH:3056
DOI: 10.26138/sxs:bbh:2721v3.0
title: Binary black-hole simulation SXS:BBH:2721
DOI: 10.26138/sxs:bbh:3431v3.0
title: Binary black-hole simulation SXS:BBH:3431
DOI: 10.26138/sxs:bbh:3597v3.0
title: Binary black-hole simulation SXS:BBH:3597
DOI: 10.26138/sxs:bbh:2711v3.0
title: Binary black-hole simulation SXS:BBH:2711
DOI: 10.26138/sxs:bbh:3151v3.0
title: Binary black-hole simulation SXS:BBH:3151
DOI: 10.26138/sxs:bbh:3536v3.0
title: Binary black-hole simulation SXS:BBH:3536
DOI: 10.26138/sxs:bbh:3160v3.0
title: Binary black-hole simulation SXS:BBH:3160
DOI: 10.26138/sxs:bbh:3487v3.0
title: Binary black-hole simulation SXS:BBH:3487
DOI: 10.26138/sxs:bbh:2734v3.0
title: Binary black-hole simulation SXS:BBH:2734
DOI: 10.26138/sxs:bbh:3517v3.0
title: Binary black-hole simulation SXS:BBH:3517
DOI: 10.26138/sxs:bbh:2704v3.0
title: Binary black-hole simulation SXS:BBH:2704
DOI: 10.26138/sxs:bbh:2777v3.0
title: Binary black-hole simulation SXS:BBH:2777
DOI: 10.26138/sxs:bbh:3594v3.0
title: Binary black-hole simulation SXS:BBH:3594
DOI: 10.17632/nd8h6jfmcs.1
title: Survey Analysis on Watching Short Video on Social Media

description: This excel file contains raw data of survey that was conducted for this research.
DOI: 10.26138/sxs:bbh:2710v3.0
title: Binary black-hole simulation SXS:BBH:2710
DOI: 10.26138/sxs:bbh:2689v3.0
title: Binary black-hole simulation SXS:BBH:2689
DOI: 10.26138/sxs:bbh:2801v3.0
title: Binary black-hole simulation SXS:BBH:2801
DOI: 10.26138/sxs:bbh:2938v3.0
title: Binary black-hole simulation SXS:BBH:2938
DOI: 10.26138/sxs:bbh:3037v3.0
title: Binary black-hole simulation SXS:BBH:3037
DOI: 10.26138/sxs:bbh:3302v3.0
title: Binary black-hole simulation SXS:BBH:3302
DOI: 10.5281/zenodo.15052296
title: No-quenching baseline for energy loss signals in oxygen-oxygen collisions

description: Supplementary Code Material for arXiv:2410.22405

Data, Analysis, Plotting and Event Generator Instructions to reproduce results from "No-quenching baseline for energy loss signals in oxygen-oxygen collisions" by J. Gebhard, A. Mazeliauskas and A. Takacs.
DOI: 10.5281/zenodo.15052297
title: No-quenching baseline for energy loss signals in oxygen-oxygen collisions

description: Supplementary Code Material for arXiv:2410.22405

Data, Analysis, Plotting and Event Generator Instructions to reproduce results from "No-quenching baseline for energy loss signals in oxygen-oxygen collisions" by J. Gebhard, A. Mazeliauskas and A. Takacs.
DOI: 10.26138/sxs:bbh:3074v3.0
title: Binary black-hole simulation SXS:BBH:3074
DOI: 10.26138/sxs:bbh:3616v3.0
title: Binary black-hole simulation SXS:BBH:3616
DOI: 10.26138/sxs:bbh:3405v3.0
title: Binary black-hole simulation SXS:BBH:3405
DOI: 10.17632/478ks4vhxk.1
title: The effects of long-term no tillage and stubble retention on soil nutrient, grain and forage productivity in a forage-crop rotation system in rainfed areas

description: We explored the changes in crop and forage productivity and their driving factors after 22 years of conventional tillage (T), conventional tillage combined with stubble retention (TS), no tillage (NT), and no tillage combined with stubble retention (NTS) in a forage-crop rotation system on the Loess Plateau. The results indicated that TS and NTS increased system production by 19% and 32%, respectively. Among them, NTS had the greatest effects on maize yield, wheat yield, soybean biomass, which increased by 19%, 14% and 52%, compared with T, respectively. Moreover, the NTS had the highest soil carbon and nitrogen accumulation, enzyme activity and soil conditions. The soil carbon and nitrogen storages of NTS increased by 41% and 53% in the 0-10 cm soil depth, respectively. Moreover, the activities of βG (β-glucosidase), CBH (cellobiohydrolase), βX (β-xylosidase), LAP (leucine-aminopeptidase), NAG (β-N-acetylglucosaminidase) of NTS increased by 45%, 98%, 39%, 50% and 53%, respectively.
DOI: 10.26138/sxs:bbh:3328v3.0
title: Binary black-hole simulation SXS:BBH:3328
DOI: 10.26138/sxs:bbh:3383v3.0
title: Binary black-hole simulation SXS:BBH:3383
DOI: 10.15468/dl.n37rmk
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Homonota uruguayensis (Vaz-Ferreira & Sierra De Soriano, 1961)"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017117-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:3511v3.0
title: Binary black-hole simulation SXS:BBH:3511
DOI: 10.26138/sxs:bbh:2843v3.0
title: Binary black-hole simulation SXS:BBH:2843
DOI: 10.26138/sxs:bbh:2742v3.0
title: Binary black-hole simulation SXS:BBH:2742
DOI: 10.26138/sxs:bbh:2868v3.0
title: Binary black-hole simulation SXS:BBH:2868
DOI: 10.26138/sxs:bbh:3278v3.0
title: Binary black-hole simulation SXS:BBH:3278
DOI: 10.26138/sxs:bbh:3399v3.0
title: Binary black-hole simulation SXS:BBH:3399
DOI: 10.26138/sxs:bbh:3098v3.0
title: Binary black-hole simulation SXS:BBH:3098
DOI: 10.26138/sxs:bbh:2973v3.0
title: Binary black-hole simulation SXS:BBH:2973
DOI: 10.26138/sxs:bbh:2769v3.0
title: Binary black-hole simulation SXS:BBH:2769
DOI: 10.26138/sxs:bbh:3233v3.0
title: Binary black-hole simulation SXS:BBH:3233
DOI: 10.26138/sxs:bbh:3229v3.0
title: Binary black-hole simulation SXS:BBH:3229
DOI: 10.26138/sxs:bbh:2942v3.0
title: Binary black-hole simulation SXS:BBH:2942
DOI: 10.26138/sxs:bbh:2845v3.0
title: Binary black-hole simulation SXS:BBH:2845
DOI: 10.17632/445mfz6h9v
title: Simulation Results for A Robust Method for Estimating Weibull Parameters in Reliability Data Analysis

description: Simulation Results for A Robust Method for Estimating Weibull Parameters in Reliability Data Analysis
DOI: 10.17632/445mfz6h9v.1
title: Simulation Results for A Robust Method for Estimating Weibull Parameters in Reliability Data Analysis

description: Simulation Results for A Robust Method for Estimating Weibull Parameters in Reliability Data Analysis
DOI: 10.26138/sxs:bbh:2969v3.0
title: Binary black-hole simulation SXS:BBH:2969
DOI: 10.26138/sxs:bbh:2975v3.0
title: Binary black-hole simulation SXS:BBH:2975
DOI: 10.26138/sxs:bbh:3298v3.0
title: Binary black-hole simulation SXS:BBH:3298
DOI: 10.26138/sxs:bbh:3332v3.0
title: Binary black-hole simulation SXS:BBH:3332
DOI: 10.26138/sxs:bbh:2839v3.0
title: Binary black-hole simulation SXS:BBH:2839
DOI: 10.26138/sxs:bbh:2872v3.0
title: Binary black-hole simulation SXS:BBH:2872
DOI: 10.26138/sxs:bbh:2900v3.0
title: Binary black-hole simulation SXS:BBH:2900
DOI: 10.26138/sxs:bbh:3237v3.0
title: Binary black-hole simulation SXS:BBH:3237
DOI: 10.26138/sxs:bbh:2934v3.0
title: Binary black-hole simulation SXS:BBH:2934
DOI: 10.26138/sxs:bbh:3344v3.0
title: Binary black-hole simulation SXS:BBH:3344
DOI: 10.26138/sxs:bbh:3274v3.0
title: Binary black-hole simulation SXS:BBH:3274
DOI: 10.26138/sxs:bbh:3367v3.0
title: Binary black-hole simulation SXS:BBH:3367
DOI: 10.17632/yk2gzsgwpf.1
title: Hurricane Maria

description: Hurricane Data for Maria event, 2017
DOI: 10.26138/sxs:bbh:3001v3.0
title: Binary black-hole simulation SXS:BBH:3001
DOI: 10.26138/sxs:bbh:2977v3.0
title: Binary black-hole simulation SXS:BBH:2977
DOI: 10.26138/sxs:bbh:2884v3.0
title: Binary black-hole simulation SXS:BBH:2884
DOI: 10.26138/sxs:bbh:2953v3.0
title: Binary black-hole simulation SXS:BBH:2953
DOI: 10.15468/dl.eywqyg
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.568 6.021, 37.126 6.021, 37.126 6.584, 36.568 6.584, 36.568 6.021))",
 "EventDate is greater than or equal to 1900-01-01",
 "EventDate is less than or equal to 2025-03-20"
 ]
}

 The dataset includes 417 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017118-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:3388v3.0
title: Binary black-hole simulation SXS:BBH:3388
DOI: 10.26138/sxs:bbh:3596v3.0
title: Binary black-hole simulation SXS:BBH:3596
DOI: 10.26138/sxs:bbh:3309v3.0
title: Binary black-hole simulation SXS:BBH:3309
DOI: 10.26138/sxs:bbh:3140v3.0
title: Binary black-hole simulation SXS:BBH:3140
DOI: 10.26138/sxs:bbh:2958v3.0
title: Binary black-hole simulation SXS:BBH:2958
DOI: 10.26138/sxs:bbh:3491v3.0
title: Binary black-hole simulation SXS:BBH:3491
DOI: 10.26138/sxs:bbh:3171v3.0
title: Binary black-hole simulation SXS:BBH:3171
DOI: 10.26138/sxs:bbh:3323v3.0
title: Binary black-hole simulation SXS:BBH:3323
DOI: 10.26138/sxs:bbh:2666v3.0
title: Binary black-hole simulation SXS:BBH:2666
DOI: 10.26138/sxs:bbh:2921v3.0
title: Binary black-hole simulation SXS:BBH:2921
DOI: 10.26138/sxs:bbh:3569v3.0
title: Binary black-hole simulation SXS:BBH:3569
DOI: 10.26138/sxs:bbh:2826v3.0
title: Binary black-hole simulation SXS:BBH:2826
DOI: 10.15468/dl.xyz63f
title: Occurrence Download

description: A dataset containing 8981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Africa, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia mearnsii De Wild."
 ]
}

 The dataset includes 8981 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017119-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:3208v3.0
title: Binary black-hole simulation SXS:BBH:3208
DOI: 10.26138/sxs:bbh:3445v3.0
title: Binary black-hole simulation SXS:BBH:3445
DOI: 10.26138/sxs:bbh:3022v3.0
title: Binary black-hole simulation SXS:BBH:3022
DOI: 10.26138/sxs:bbh:2755v3.0
title: Binary black-hole simulation SXS:BBH:2755
DOI: 10.26138/sxs:bbh:2990v3.0
title: Binary black-hole simulation SXS:BBH:2990
DOI: 10.26138/sxs:bbh:2641v3.0
title: Binary black-hole simulation SXS:BBH:2641
DOI: 10.26138/sxs:bbh:2810v3.0
title: Binary black-hole simulation SXS:BBH:2810
DOI: 10.26138/sxs:bbh:3057v3.0
title: Binary black-hole simulation SXS:BBH:3057
DOI: 10.6084/m9.figshare.28625003
title: 单项肿瘤 data.xlsx

description: 本研究旨在基于超声血流分级预测不同血流水平子宫肌瘤的再介入风险，为 USgHIFU 前患者选择提供证据。
DOI: 10.26138/sxs:bbh:2816v3.0
title: Binary black-hole simulation SXS:BBH:2816
DOI: 10.26138/sxs:bbh:3577v3.0
title: Binary black-hole simulation SXS:BBH:3577
DOI: 10.26138/sxs:bbh:3054v3.0
title: Binary black-hole simulation SXS:BBH:3054
DOI: 10.26138/sxs:bbh:3534v3.0
title: Binary black-hole simulation SXS:BBH:3534
DOI: 10.26138/sxs:bbh:2692v3.0
title: Binary black-hole simulation SXS:BBH:2692
DOI: 10.26138/sxs:bbh:3500v3.0
title: Binary black-hole simulation SXS:BBH:3500
DOI: 10.26138/sxs:bbh:3350v3.0
title: Binary black-hole simulation SXS:BBH:3350
DOI: 10.26138/sxs:bbh:3361v3.0
title: Binary black-hole simulation SXS:BBH:3361
DOI: 10.17632/nc9m49nsg5.1
title: Potassium isotopic constraints on the emergence of microcontinents in orogenic belts

description: Figs. 1-6
Table 1
Supplementary Material
DOI: 10.26138/sxs:bbh:3251v3.0
title: Binary black-hole simulation SXS:BBH:3251