cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13823858
title: Yields, Cannabinoids Quantification, and Predictive Programming Codes Using Machine Learning for Non-Psychoactive Cannabis Flowers and Extracts (Cannabis sativa L.) Cultivated in Ecuador.

description: This publication presents data from various extraction methods, including maceration, Soxhlet, and supercritical fluids, performed on different cannabis flower varieties (Cannabis sativa L.) under varying operating conditions. We quantified the amounts of CBD, THC, CBG, and CBN in the extracts produced by each method using High-Performance Liquid Chromatography (HPLC). Using this data, we developed a machine learning algorithm in RStudio to make predictions and determine the best conditions and yields for each extraction method. The analysis focuses on different varieties of non-psychoactive cannabis cultivated in Ecuador at altitudes over 2,450 m.a.s.l.
DOI: 10.5281/zenodo.13823859
title: Yields, Cannabinoids Quantification, and Predictive Programming Codes Using Machine Learning for Non-Psychoactive Cannabis Flowers and Extracts (Cannabis sativa L.) Cultivated in Ecuador.

description: This publication presents data from various extraction methods, including maceration, Soxhlet, and supercritical fluids, performed on different cannabis flower varieties (Cannabis sativa L.) under varying operating conditions. We quantified the amounts of CBD, THC, CBG, and CBN in the extracts produced by each method using High-Performance Liquid Chromatography (HPLC). Using this data, we developed a machine learning algorithm in RStudio to make predictions and determine the best conditions and yields for each extraction method. The analysis focuses on different varieties of non-psychoactive cannabis cultivated in Ecuador at altitudes over 2,450 m.a.s.l.
DOI: 10.15468/dl.p5htvx
title: Occurrence Download

description: A dataset containing 1897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Boana fasciata (Günther, 1858)"
 ]
}

 The dataset includes 1897 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025538-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823975
title: crotaphopeltis_hotamboeia_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823976
title: crotaphopeltis_hotamboeia_zanfona_1.fasta.gz
DOI: 10.15468/dl.cyw3cm
title: Occurrence Download

description: A dataset containing 669 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave atrovirens Karw. ex Salm-Dyck"
 ]
}

 The dataset includes 669 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025539-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrjq37
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Scaphyglottis fusiformis (Griseb.) R.E.Schult."
 ]
}

 The dataset includes 276 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025541-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmaca3
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Comadia redtenbacheri Hammerschmidt, 1848"
 ]
}

 The dataset includes 118 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025542-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823981
title: leptodeira_frenata_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823982
title: leptodeira_frenata_zanfona_1.fasta.gz
DOI: 10.15468/dl.zm2wur
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Renealmia floribunda K.Schum."
 ]
}

 The dataset includes 59 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025543-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttknd6
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is Schwenckia L."
 ]
}

 The dataset includes 109 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025544-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13743291
title: Trust in AI: Perspectives of C-Level Executives in Brazilian Organizations

description: Context: With the advancement of Artificial Intelligence (AI) and its increasing integration into business processes, the trust of top management in Brazilian companies has become a crucial issue. Business leaders must be aware of the challenges and opportunities associated with adopting AI in their operations. A lack of understanding and knowledge about the capabilities and limitations of AI can lead to hesitations and concerns from top management regarding its use.  Goal: This work aims to identify the main challenges preventing C-level executives from fully trusting AI and its applications within their organizations in the Brazilian context. Additionally, a reference guide is proposed to help top management better understand how AI can be effectively and ethically integrated into their business strategies. Method: We conducted a survey with business leaders from various sectors to understand their perceptions of trust in AI and their concerns regarding its implementation.  Results: The results revealed that the main obstacles faced by top management in Brazilian companies were the lack of understanding about AI's capabilities and its ethical implications. Therefore, it is imperative for business leaders to invest in education and awareness about AI, seeking to understand its benefits and challenges. Only then will they be able to make informed decisions and fully trust AI solutions to drive innovation and sustainable growth in their organizations and the improvement of organizational processes.
DOI: 10.5281/zenodo.13743292
title: Trust in AI: Perspectives of C-Level Executives in Brazilian Organizations

description: Context: With the advancement of Artificial Intelligence (AI) and its increasing integration into business processes, the trust of top management in Brazilian companies has become a crucial issue. Business leaders must be aware of the challenges and opportunities associated with adopting AI in their operations. A lack of understanding and knowledge about the capabilities and limitations of AI can lead to hesitations and concerns from top management regarding its use.  Goal: This work aims to identify the main challenges preventing C-level executives from fully trusting AI and its applications within their organizations in the Brazilian context. Additionally, a reference guide is proposed to help top management better understand how AI can be effectively and ethically integrated into their business strategies. Method: We conducted a survey with business leaders from various sectors to understand their perceptions of trust in AI and their concerns regarding its implementation.  Results: The results revealed that the main obstacles faced by top management in Brazilian companies were the lack of understanding about AI's capabilities and its ethical implications. Therefore, it is imperative for business leaders to invest in education and awareness about AI, seeking to understand its benefits and challenges. Only then will they be able to make informed decisions and fully trust AI solutions to drive innovation and sustainable growth in their organizations and the improvement of organizational processes.
DOI: 10.5281/zenodo.13823985
title: Dataset for Benchmarking the Sim-to-Real Gap in Cloth Manipulation

description: This dataset is supplemental to the paper "Benchmarking the Sim-to-Real Gap in Cloth Manipulation".

D. Blanco-Mulero, O. Barbany, G. Alcan, A. Colomé, C. Torras and V. Kyrki, "Benchmarking the Sim-to-Real Gap in Cloth Manipulation," in IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2981-2988, March 2024, doi: 10.1109/LRA.2024.3360814
DOI: 10.5281/zenodo.13823986
title: Dataset for Benchmarking the Sim-to-Real Gap in Cloth Manipulation

description: This dataset is supplemental to the paper "Benchmarking the Sim-to-Real Gap in Cloth Manipulation".

D. Blanco-Mulero, O. Barbany, G. Alcan, A. Colomé, C. Torras and V. Kyrki, "Benchmarking the Sim-to-Real Gap in Cloth Manipulation," in IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2981-2988, March 2024, doi: 10.1109/LRA.2024.3360814
DOI: 10.15468/dl.twnydn
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025545-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wh5b2j
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.10471 15.87087,-97.10478 15.86841,-97.08949 15.86393,-97.08387 15.86855,-97.09956 15.87604,-97.10471 15.87087))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025540-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9tymuid
title: Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis)

description: This data package includes 2 child items with tracking data for Buff-breasted Sandpipers, a shorebird species that breeds only in Arctic Alaska and Canada, spending the winter in the grasslands of Brazil, Uruguay, and Argentina after a lengthy migration.

      Child Item 1: "Argos and GPS Satellite Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis) - Processed Data" - Quality-controlled data collected from Argos and Argos-linked GPS satellite transmitters.

      Child Item 2: "Argos and GPS Satellite Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis) - Raw Data" - All raw data collected from Argos and Argos-linked GPS satellite transmitters, provided for completeness of the archive. The quality-controlled, "Argos GPS Processed Data" (Child Item 1) are better suited for most analytical purposes.
DOI: 10.15468/dl.gph3kg
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.64336 19.34459,-98.58106 19.34459,-98.58106 19.40198,-98.64336 19.40198,-98.64336 19.34459))",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 49 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025546-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ah3qz
title: Occurrence Download

description: A dataset containing 36047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Living Specimen)",
 "Geometry POLYGON((-106.03095 23.39443,-106.00636 23.4789,-106.06058 23.56354,-106.08267 23.70073,-106.19055 23.79971,-106.21767 23.86249,-106.32544 23.91205,-106.42293 24.05369,-106.3982 24.10394,-106.44053 24.14572,-106.42382 24.2605,-106.53307 24.29829,-106.62058 24.44716,-106.58706 24.47899,-106.64547 24.52895,-106.70622 24.66562,-106.86504 24.82049,-106.92516 24.811,-106.93456 24.88052,-106.99094 24.89709,-106.9965 24.92533,-107.02115 24.91002,-107.06751 25.03019,-107.12988 25.05303,-107.12759 25.11855,-107.16444 25.16157,-107.24033 25.17302,-107.36728 25.34285,-107.3836 25.42779,-107.46407 25.37152,-107.43809 25.33441,-107.44935 25.28772,-107.61806 25.36344,-107.88089 25.27697,-107.90996 25.22108,-107.87546 25.1712,-107.79992 25.15439,-107.82564 25.06552,-107.79975 25.03387,-107.8682 24.88195,-107.90977 24.87914,-107.91066 24.84537,-107.7906 24.75616,-107.79816 24.71858,-107.73936 24.72493,-107.70042 24.66009,-107.7369 24.57622,-107.76495 24.57274,-107.81061 24.51028,-107.48573 24.30423,-107.42268 24.29367,-107.38427 24.22284,-107.34294 24.20294,-107.33202 24.22474,-107.2191 24.15387,-107.17922 24.11846,-107.19423 24.102,-107.02327 24.00706,-107.01901 23.96142,-106.93576 23.88223,-106.84123 23.88745,-106.80384 23.85114,-106.83605 23.81022,-106.80314 23.78824,-106.80879 23.7041,-106.62822 23.68291,-106.6069 23.59221,-106.6386 23.51304,-106.60597 23.47741,-106.55601 23.51044,-106.56676 23.42964,-106.46714 23.31003,-106.46616 23.26552,-106.41368 23.21034,-106.42785 23.20148,-106.16516 23.01499,-106.032 22.8419,-105.98933 22.90904,-105.95798 22.91521,-105.97515 22.99516,-106.03407 23.05401,-106.02484 23.15756,-105.99951 23.16204,-106.01088 23.18974,-105.97179 23.24359,-105.99823 23.27486,-105.97582 23.32023,-106.03095 23.39443))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2004-2024"
 ]
}

 The dataset includes 36047 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025547-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3111
title: LCA-GCS
DOI: 10.15468/dl.fpwf5k
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum chmielewskii (C.M.Rick, Kesicki, Fobes & M.Holle) D.M.Spooner, G.J.Anderson & R.K.Jansen"
 ]
}

 The dataset includes 329 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025548-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5p5hk
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.64336 19.34459,-98.58106 19.34459,-98.58106 19.40198,-98.64336 19.40198,-98.64336 19.34459))",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025550-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuuhs8
title: Occurrence Download

description: A dataset containing 2483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36.09470741360596 -0.7635160645838504,38.706452467533396 -0.7635160645838504,38.706452467533396 1.8482289893435855,36.09470741360596 1.8482289893435855,36.09470741360596 -0.7635160645838504))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Struthio molybdophanes Reichenow, 1883"
 ]
}

 The dataset includes 2483 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025551-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74tqpu
title: Occurrence Download

description: A dataset containing 2483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36.09470741360596 -0.7635160645838504,38.706452467533396 -0.7635160645838504,38.706452467533396 1.8482289893435855,36.09470741360596 1.8482289893435855,36.09470741360596 -0.7635160645838504))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Struthio molybdophanes Reichenow, 1883"
 ]
}

 The dataset includes 2483 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025552-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9451685
title: Zero-Day Attack Detection in Logistics Networks
DOI: 10.5281/zenodo.13768457
title: CombineHarvester samples
DOI: 10.5281/zenodo.13768456
title: CombineHarvester samples
DOI: 10.5281/zenodo.13769917
title: CombineHarvester samples
DOI: 10.5281/zenodo.13823800
title: CombineHarvester samples
DOI: 10.15468/dl.7u67ua
title: Occurrence Download

description: A dataset containing 1143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Scaphyglottis prolifera (R.Br.) Cogn."
 ]
}

 The dataset includes 1143 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025554-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823414
title: APPLICATION OF REDUCED CODEBOOK FOR RECONFIGURABLE INTELLIGENT SURFACES

description: 1 - "Best_worst_pattern.csv" - the file has four columns: index; pattern name; signal transmission frequency; received power. The file reflects the first chart in the article, which presents ordered results in ascending order from the "worst received power result" to the "best received power result."

2 - "Scenariusz_A.csv" - the file contains the dataset used to plot the second chart, which shows the signal detection performed for Scenario A as described in the article. The file includes results for noise, Thicker vertical strips [11110000] and Right side on, each preceded by the measurement number, date, and time of the task performed.

3 - "Scenariusz_B.csv" - the file contains the dataset used to plot the third chart, which shows the signal detection performed for Scenario B as described in the article. Similar to the previous file, each noise measurement and the next two patterns (the same as those in point 2, but labeled with numbers) are preceded by the date.
DOI: 10.25345/c5z892s5x
title: MassIVE MSV000095922 - Metabolite-Driven Mechanisms Reveal Chemical Ecology of Lehmann Lovegrass Invasion in North American Semi-Arid Ecosystems
title: This dataset comprises raw LC-MS data generated from a study examining the root and rhizosphere metabolomes of of Lehmann lovegrass (Eragrostis lehmanniana) and Arizona cottontop (Digitaria californica) in both canopy and inter-canopy regions under velvet mesquite trees (Prosopis velutina) at the Santa Rita Experimental Range (SRER) in Arizona. Samples were collected from twelve 1m x 1m plots representing two dominant plant species (Lehmann lovegrass and Arizona cottontop) across two canopy conditions (closed and open), resulting in 36 root and rhizosphere samples.
DOI: 10.15468/dl.pmun4g
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.90011 44.02433,35.04053 44.41352,36.52488 44.77445,36.724 45.06925,36.66969 45.50227,36.45247 45.60367,34.98622 45.80594,34.6966 45.95715,34.40697 46.08285,34.04493 46.19574,33.61049 46.23332,33.41137 46.0703,32.83211 45.85639,32.30715 45.73017,32.16234 45.36253,32.61489 44.81299,33.04933 44.36178,33.90011 44.02433))",
 "HasGeospatialIssue is false",
 "TaxonKey is Agaricus bernardii Quél.",
 "Year 1900-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025555-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mw4pp
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius maxillabrochus Gehlbach, 1959"
 ]
}

 The dataset includes 42 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025556-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2jnru
title: Occurrence Download

description: A dataset containing 127173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Atlas de las Aves de México: Fase II, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-116.08902 29.91134,-115.15723 29.91134,-115.15723 30.63246,-116.08902 30.63246,-116.08902 29.91134))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 127173 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025549-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7atwcw
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.94935 19.51285,-97.92402 19.51285,-97.92402 19.53762,-97.94935 19.53762,-97.94935 19.51285))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 45 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025558-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13725193
title: Validation Set

description: Training data (validation set) used for training of the neural network
DOI: 10.5281/zenodo.13725123
title: Training Set

description: Dataset (training set) used for training the neural network
DOI: 10.5281/zenodo.13725057
title: Test Dataset

description: Dataset (test set) used for training of the neural network
DOI: 10.15468/dl.6vpvuz
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Gypaetus barbatus (Linnaeus, 1758)",
 "Year 2019-2024"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025557-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13724373
title: Hexapeptide propensity scores and associated metadata

description: Amyloid propensity scores for all possible hexapeptide sequences and associated metadata
DOI: 10.5281/zenodo.13723250
title: Proteome Data for S. cerevisiae

description: Datafile with calculated metrics and associated data for S. cerevisiae proteome