cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tm2m9y
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Siganus argenteus (Quoy & Gaimard, 1825)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 271 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024486-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wq7mb
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexagrammos otakii Jordan & Starks, 1895",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 564 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024488-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ted5f9
title: Occurrence Download

description: A dataset containing 38269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.24.13_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Animalia",
 "Year 1000-2025"
 ]
}

 The dataset includes 38269 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024487-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rng89
title: Occurrence Download

description: A dataset containing 4065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4065 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024490-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/17063
title: Experimental data of manuscript Inactivation of Bacillus cereus spores and vegetative cells in inert matrix and rice grains using Low-pressure cold plasma [DATASET]

description: This study investigated the effects of low-pressure cold plasma on the inactivation of Bacillus cereus vegetative cells and spores in an inert matrix (borosilicate glass slide) and in rice grains, using oxygen as ionization gas. Greater reductions in B. cereus counts were observed in vegetative cells rather than spores. The experimental data obtained show that both the power of the plasma treatment and the matrix proved to be determining factors in the inactivation of both the spores and vegetative cells of B. cereus. To characterize the inactivation of B. cereus, experimental data were accurately fitted to the Weibull model. A significant decrease in parameter “a”, representing resistance to treatment, was confirmed with treatment intensification. Furthermore, significant differences in the “a” value were observed between spores in inert and food matrices, suggesting the additional protective role of the food matrix for B. cereus spores. These results demonstrate the importance of considering matrix effects in plasma treatment to ensure the effective inactivation of pathogenic microorganisms, particularly in foods with low water activity, such as rice. This approach contributes to mitigating the impact of foodborne illnesses caused by pathogenic microorganisms.
DOI: 10.20350/digitalcsic/17064
title: Experimental data of manuscript Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan [DATASET]

description: An exposure assessment model for industrial use has been developed by using kinetic data from inactivation and growth of Bacillus cereus spores. It can provide a valuable tool for estimating the concentration of B. cereus after a storage period of 24 h at a specified temperature (20 °C) and for an estimation of the percentage of contaminated portions according to the input data of the model. This model considers a rice-derived product that has undergone a standard cooking process at 95 °C for 20 min. According to the results, the presence of chitosan affects the final microbial load after storage, potentially serving as an additional control measure in the event of cold chain abuse or break. Chitosan’s antimicrobial properties likely play a role in reducing microbial growth during storage, thereby contributing to enhanced food safety. In practical terms, this suggests that incorporating chitosan into food products, especially those susceptible to microbial contamination like rice derivatives, could help mitigate risks associated with temperature abuse or cold chain disruptions. By acting as a protective barrier against microbial proliferation, chitosan offers a preventive measure to maintain product quality and safety throughout the supply chain. Considering two scenarios, 104 or 107 as initial contamination the model estimated that the 55 and 100% of portions would be respectively contaminated, according to a Performance Criteria of 4 log reductions.
DOI: 10.20350/digitalcsic/17065
title: Experimental data of manuscript Oxygen and air cold plasma for the inactivation of Bacillus cereus in low-water activity soy powder [DATASET]

description: Cold plasma (CP) technology is a promising alternative to thermal treatments for the microbial decontamination of foods with low-water activity. The aim of this work is study the application of low-pressure CP (0.35 mbar) for the inactivation of Bacillus cereus in a soybean powder matrix using O₂ and synthetic air as ionizing gases. The parameters tested were an input power of 100, 200 and 300 W and an exposure time of 10 to 30 min. The excited reactive species formed were monitored by optical emission spectroscopy, and survival data were analyzed using the Weibull mathematical model. Treatments with both gases were effective in inactivating B. cereus. Air plasma resulted in a maximum 3.71-log reduction in bacterial counts at 300 W and 30 min, while O2 plasma showed the strongest inactivation ability, achieving levels higher than 5 log cycles at 300 W and &gt; 25 min. This is likely due to the strong antimicrobial activity of oxygen-derived radicals together with carbon monoxide as an oxidation by-product. In addition, the Weibull distribution function accurately modeled the inactivation of B. cereus. Cold plasma technology is a promising approach for the decontamination of bacteria in low-water activity foods.
DOI: 10.20350/digitalcsic/17066
title: Dodecanuclear [NiII8Ln4] clusters: rings of corner-sharing {NiII2Ln2} cubanes (Ln = Dy, Gd, Y}

description: [Description of methods used for collection/generation of data] Magnetisation data were collected on MPMS-XL and MPMS3 SQUID magnetometers equipped with 5 and 7 T magnets, respectively. Diamagnetic corrections were applied using Pascal's constants. Heat capacity measurements were carried out on a PPMS equipped with a 9 T magnet and a 3He cryostat, using a thin pressed pellet (ca. 1 mg) of a polycrystalline sample of 2, thermalized by ca. 0.2 mg of Apiezon N grease, whose contribution was subtracted using a phenomenological expression.
description: [Methods for processing the data] An indirect estimation of DS and DT was performed in accordance with standard thermodynamic formulations.
description: The solvothermal reaction of NiCl2.6H2O with 1,3,5-tri(2-hydroxyethyl)-1,3,5-triazacyclohexane, LH3, and Ln(OAc)3.4H2O in the presence of salicylaldehyde in MeOH leads to the formation of the dodecanuclear isostructural species [NiII8Ln4(L’)8(OAc)4(OH)8(H2O)4].xH2O (Ln= Dy, x=6 (1); Gd, x= 24 (2); Y, x= 10 (3); L’ = the dianion of the Schiff-base resulting from the reaction of salicylaldehyde and ethanolamine). The metallic core of the clusters describes a ring a of corner-sharing {Ni2Ln2} cubanes assembled on a central, planar rectangular {Ln4} unit. Magnetization studies conducted on complexes 1 - 3 demonstrate the presence of dominant ferromagnetic exchange at low temperatures, which is largely attributed to the Ni⋯Ni interactions. The significant magnetocaloric effect observed in the Gd analogue has been assessed through heat-capacity and magnetization measurements.
DOI: 10.15468/dl.yse4fq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Testudo mydas Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024491-250127130748423/datasets/export for details.
DOI: 10.21947/2513593
title: NWTC Site 4.0 - NREL ASSIST (SN10) / Thermodynamic retrievals TROPoe

description: This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 10) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.
DOI: 10.21947/2513594
title: NWTC Site 3.2 - NREL ASSIST (SN12) / Thermodynamic retrievals TROPoe

description: This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 12) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.
DOI: 10.21947/2513595
title: Title NWTC Site 3.2 - NREL ASSIST (SN11) / Thermodynamic retrievals TROPoe

description: This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 11) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a Vaisala CL51 ceilometer. The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data were not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Denver, CO.
DOI: 10.25582/data.2024-02.3028395/2513596
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028412/2513597
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028416/2513598
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028417/2513599
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028418/2513600
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028428/2513601
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028433/2513602
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028438/2513603
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028449/2513604
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028450/2513605
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028451/2513606
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028458/2513607
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028465/2513608
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028474/2513609
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028479/2513610
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028480/2513611
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028481/2513612
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028496/2513613
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.fjuq9j
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isurus oxyrinchus Rafinesque, 1810",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 683 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024492-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3028501/2513614
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028513/2513615
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028519/2513616
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028520/2513617
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028521/2513618
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028536/2513619
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028544/2513620
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028547/2513621
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028554/2513622
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028555/2513623
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028556/2513624
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028569/2513625
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028572/2513626
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028575/2513627
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028580/2513628
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028581/2513629
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028582/2513630
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.ns5ypk
title: Occurrence Download

description: A dataset containing 223700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (b3bf3a83-1f68-4541-a03f-330d30d567f5, b554c320-0560-11d8-b851-b8a03c50a862, c49fdf8d-5648-4ae7-b0be-d3d9c67bc755, 493fe050-055d-11d8-b84f-b8a03c50a862, 13fe7a88-3d16-451f-9ee8-66c6275a5e23, 97a3ce10-3e54-11d9-8439-b8a03c50a862, a3a2b5eb-9b4c-485f-b4ce-19cfb7de6772, ada9d123-ddb4-467d-8891-806ea8d94230, 66522820-055c-11d8-b84e-b8a03c50a862)",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 223700 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024478-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3028598/2513631
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028602/2513632
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028605/2513633
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028610/2513634
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028611/2513635
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028612/2513636
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028624/2513637
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028627/2513638
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028633/2513639
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3028454/2513640
title: Data for EMSL Project 51874 from February 2024
DOI: 10.15468/dl.xfmvns
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isurus paucus Guitart, 1966",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024493-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3028584/2513641
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3028585/2513642
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3028586/2513643
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3028628/2513644
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3028457/2513645
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028462/2513646
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028468/2513647
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028469/2513648
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028470/2513649
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028482/2513650
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028484/2513651
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028486/2513652
title: Data for EMSL Project 51287 from February 2024
DOI: 10.15468/dl.7r9bxn
title: Occurrence Download

description: A dataset containing 98878906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is 2020"
 ]
}

 The dataset includes 98878906 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024479-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3028487/2513653
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028489/2513654
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028490/2513655
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028491/2513656
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028493/2513657
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028497/2513658
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028498/2513659
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028500/2513660
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028505/2513661
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028507/2513662
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028511/2513663
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028512/2513664
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028514/2513665
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028518/2513666
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028522/2513667
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028523/2513668
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028524/2513669
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028528/2513670
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028529/2513671
title: Data for EMSL Project 51287 from February 2024
DOI: 10.15468/dl.hqsj4x
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracaesio caerulea (Katayama, 1934)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024494-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3028530/2513672
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028535/2513673
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028541/2513674
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028543/2513675
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028546/2513676
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3028549/2513677
title: Data for EMSL Project 51287 from February 2024