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

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geochelone carbonaria (Spix, 1824)"
 ]
}

 The dataset includes 225 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001981-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjvvvt
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Agave fourcroydes Lem.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 227 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068885-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q39a0x
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Sweden",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Norway",
 "Country is Denmark",
 "Country is France",
 "Country is Germany",
 "Country is Belgium",
 "Country is Netherlands"
 ]
 },
 "Year is 1988",
 "HasCoordinate is true",
 "TaxonKey is Clupea harengus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 460 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013824-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a14jx2
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October",
 "Month is November",
 "Month is December"
 ]
 },
 "Year 2000-2001",
 "Geometry POLYGON((98.56274 15.54126,98.50122 15.38306,98.18481 15.24243,98.23755 14.80298,98.5979 14.302,98.96704 14.09106,99.17798 13.51978,99.1604 13.22974,99.27466 13.07153,99.95142 13.28247,100.2854 13.5022,100.82043 13.48352,100.89075 14.34485,101.23792 14.76672,101.18079 15.4303,101.07971 15.20178,100.30298 15.33911,100.19641 15.79065,99.72428 15.78445,99.62622 15.91919,99.53845 15.81295,99.0022 15.76978,98.94946 15.18091,98.56274 15.54126))",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001981-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybmqf7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Xanthosoma yucatanense Engl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068890-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13362277
title: V 1.0 Dataset for "Emergence and Evolution of Big Data Research: A 30-year (1993-2022) Scientometric Analysis of The Knowledge Field"

description: This dataset includes the bibliometric data used in the scientometric analysis of the field of big data research over a 30-year period (1993-2022). The data was collected from the Scopus database, and contains information on 70,163 articles and 315,235 author keywords. The dataset is structured by 17 interrelated data categories that trace the conceptual emergence and evolution of the big data field, focusing on keyword co-occurrences, disciplinary distributions, and the temporal growth of publications. This dataset supports the analyses presented in the related manuscript.
DOI: 10.5281/zenodo.13362278
title: V 1.0 Dataset for "Emergence and Evolution of Big Data Research: A 30-year (1993-2022) Scientometric Analysis of The Knowledge Field"

description: This dataset includes the bibliometric data used in the scientometric analysis of the field of big data research over a 30-year period (1993-2022). The data was collected from the Scopus database, and contains information on 70,163 articles and 315,235 author keywords. The dataset is structured by 17 interrelated data categories that trace the conceptual emergence and evolution of the big data field, focusing on keyword co-occurrences, disciplinary distributions, and the temporal growth of publications. This dataset supports the analyses presented in the related manuscript.
DOI: 10.60895/redata/z8qdez
title: Transformer Checker

description: Este proyecto es una herramienta para visualizar y comprobar las activaciones neuronales y los patrones de atención en modelos de tipo 'Transformer' que clasifican lenguajes libres de contexto.
DOI: 10.25934/pr00007137.1
title: Available IPD datapackage for study 'An Adaptive Phase I/II Randomized Placebo-controlled Trial to Determine Safety, Immunogenicity and Efficacy of Non-replicating ChAdOx1 SARS-CoV-2 Vaccine in South African Adults Living Without HIV; and Safety and Immunogenicity in Adults Living With HIV'

description: A Phase I/II, double-blinded, placebo-controlled, individually randomized trial to assess safety, immunogenicity and efficacy of the candidate Coronavirus disease (COVID-19) vaccine ChAdOx1 nCoV-19 in adults aged 18-65 years living with and without HIV in South Africa. The vaccine or placebo will be administered via an intramuscular injection into the deltoid muscle of the non-dominant arm.
DOI: 10.15468/dl.akrfnw
title: Occurrence Download

description: A dataset containing 13416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-127.52895 48.2404,-125.09687 46.61262,-121.46752 46.93335,-121.89231 49.2697,-122.82358 50.95252,-125.65007 51.63872,-128.68895 51.60605,-129.29346 50.0866,-127.52895 48.2404))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oncorhynchus tshawytscha (Walbaum, 1792)",
 "Year 1990-1994"
 ]
}

 The dataset includes 13416 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006086-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25545/aibvax
title: Colour Tunability of Heteroleptic Ir(III) Complexes Through Second-Sphere Coordination

description: Raw data for: Novel H-bond-rich iridium (III) complexes with different systems of cyclometalating ligands bearing the general formula [Ir(C^N)2(N^N)] were synthesized, characterized and their photophysical properties measured. The incorporated guanidine moieties allow us to introduce a hydrogen-bonding array for the formation of self-assembled iridium hydrogen-bonded systems. Through a series of UV-Vis binding studies we demonstrated the host-guest chemistry of these systems display high levels of colour tuneability. These hydrogen-bond interactions were also shown to have significant impacts on chromaticity, quantum yields and lifetimes with emphasis on energy transfer studies based on this second-sphere coordination approach. KEYWORDS: H-Bonding, Colour tuning, Second-Sphere Interactions
DOI: 10.25545/aibvax/cxry84
title: Archive 2024-06-20 at 12.21.52 PM.rar

description: :unav
DOI: 10.25545/aibvax/qoj3kc
title: ColoursRaw-V2.rar

description: Raw Data V2
DOI: 10.15468/dl.2cum4k
title: Occurrence Download

description: A dataset containing 7448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "GadmGid is IDN.35_1",
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7448 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006088-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60895/redata/knersj
title: Analyzing constrained LLM through PDFA-learning experiments repository

description: Experiments repository for paper "Analyzing constrained LLM through PDFA-learning"
DOI: 10.15468/dl.5383dw
title: Occurrence Download

description: A dataset listing the 826 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Cambaridae"
 ]
}

 The dataset's 826 records were derived from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006082-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em9wy8
title: Occurrence Download

description: A dataset containing 66728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "GadmGid is MYS.14_1",
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 66728 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006089-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17894/ucph.7cb60fee-54ad-4cfd-9c5c-3b0eac2c92ff
title: Formulating efficient P-rich biobased starter fertilizers effects of acidification and pelletizing on fertilizer properties
DOI: 10.15468/dl.p2mk36
title: Occurrence Download

description: A dataset containing 92849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "GadmGid is MYS.13_1",
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 92849 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006090-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8jn6e
title: Occurrence Download

description: A dataset containing 324085 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalanthera Rich."
 ]
}

 The dataset includes 324085 records from 1378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006072-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29210024
title: Evaluation of Genetic Diversity and Marker Trait Association for Yield and Fiber Quality-Related Traits in Upland Cotton

description: Cotton is the most extensively grown non-food crop and its lint serves as a source for textile industries. The diversity in upland cotton (<i>G. hirsutum</i> L.) varieties was low. Hence, genetic diversity and marker trait associations were performed in twenty cotton genotypes. Rasi Magic, Platinum, LHBT 2, LHBT 6 and LHBT 7 recorded highest seed and lint yield. Based on PCA, LHBT 6 and LHBT 7 had higher upper half mean fiber length, uniformity index, fiber strength; Rasi Magic and LHBT 2 had high yield. Seed cotton yield (SCY) showed significantly positive association with number of bolls (NB), number of sympodial branches (NSP), boll weight (BW), ginning out turn (GOT) and plant height (PH). The average polymorphic information content and Shannon’s diversity index value were 0.66 and 1.4 per SSR marker locus respectively. Six clusters and six subpopulation groups were observed; LHBT 16 and LHBT 7 were grouped near checks showing genetic similarity. Association study identified high significant associations in markers, BNL1122 (NB), BNL1227 (NB, BW, Plot yield (PY), SCY, Lint yield (LY)), DPL0852 (BW, PH), JESPR204 (Number of Monopodia), MGHES0012 (Lint index (LI), NB, BW, PY), MGHES0021 (SCY), MGHES0036 (NSP, GOT, LY), MGHES0060 (NSP), MUSS162 (LI) and MUSS193 (LI).
DOI: 10.6084/m9.figshare.29210024.v1
title: Evaluation of Genetic Diversity and Marker Trait Association for Yield and Fiber Quality-Related Traits in Upland Cotton

description: Cotton is the most extensively grown non-food crop and its lint serves as a source for textile industries. The diversity in upland cotton (<i>G. hirsutum</i> L.) varieties was low. Hence, genetic diversity and marker trait associations were performed in twenty cotton genotypes. Rasi Magic, Platinum, LHBT 2, LHBT 6 and LHBT 7 recorded highest seed and lint yield. Based on PCA, LHBT 6 and LHBT 7 had higher upper half mean fiber length, uniformity index, fiber strength; Rasi Magic and LHBT 2 had high yield. Seed cotton yield (SCY) showed significantly positive association with number of bolls (NB), number of sympodial branches (NSP), boll weight (BW), ginning out turn (GOT) and plant height (PH). The average polymorphic information content and Shannon’s diversity index value were 0.66 and 1.4 per SSR marker locus respectively. Six clusters and six subpopulation groups were observed; LHBT 16 and LHBT 7 were grouped near checks showing genetic similarity. Association study identified high significant associations in markers, BNL1122 (NB), BNL1227 (NB, BW, Plot yield (PY), SCY, Lint yield (LY)), DPL0852 (BW, PH), JESPR204 (Number of Monopodia), MGHES0012 (Lint index (LI), NB, BW, PY), MGHES0021 (SCY), MGHES0036 (NSP, GOT, LY), MGHES0060 (NSP), MUSS162 (LI) and MUSS193 (LI).
DOI: 10.6084/m9.figshare.28256175
title: Comparative Study of Agricultural Wastes Utilization in Cementitious Composites

description: The exploration of alternative solutions for natural concrete aggregates is justified in the context of sustainable development and the circular economy. This research seeks to assess the effects on physical, mechanical, and thermal characteristics by incorporating walnut shells (WS), corncobs (CC) and cellulose fibers (CF) as substitutes for fine aggregates in concrete, as opposed to using regular concrete. Various proportions (5%, 10%, and 15% by weight) of each agricultural waste were introduced, resulting in a decrease in concrete density as their ratio increased. Also, the connection between mechanical and thermal properties and the type of agricultural waste used were established for all concrete mixes. In the case of walnut shell, there was an increase in compressive, flexural, and split tensile strength. Furthermore, corncobs showed an increase in most of mechanical properties but only up to 10 wt.% ratio and after that ratio a drop in value was noted. Similar trends to the ones presented in mechanical tests were noted during thermal properties tests. This study also identified correlations between density and compressive strength in concrete incorporating three types of agricultural waste.
DOI: 10.6084/m9.figshare.28256175.v1
title: Comparative Study of Agricultural Wastes Utilization in Cementitious Composites

description: The exploration of alternative solutions for natural concrete aggregates is justified in the context of sustainable development and the circular economy. This research seeks to assess the effects on physical, mechanical, and thermal characteristics by incorporating walnut shells (WS), corncobs (CC) and cellulose fibers (CF) as substitutes for fine aggregates in concrete, as opposed to using regular concrete. Various proportions (5%, 10%, and 15% by weight) of each agricultural waste were introduced, resulting in a decrease in concrete density as their ratio increased. Also, the connection between mechanical and thermal properties and the type of agricultural waste used were established for all concrete mixes. In the case of walnut shell, there was an increase in compressive, flexural, and split tensile strength. Furthermore, corncobs showed an increase in most of mechanical properties but only up to 10 wt.% ratio and after that ratio a drop in value was noted. Similar trends to the ones presented in mechanical tests were noted during thermal properties tests. This study also identified correlations between density and compressive strength in concrete incorporating three types of agricultural waste.
DOI: 10.6084/m9.figshare.28429503
title: Static and Dynamic Resistance of Bio-concrete Incorporated with Kenaf Fiber

description: Concrete as a choice construction material is due to the availability of its constituents. However, certain properties need to be improved to enhance the performance of the concrete structures. Such improvements include incorporation of CaCO<sub>3</sub>-producing bacteria to increase the strength. However, the brittle nature of concrete makes it less ductile even with the CaCO<sub>3</sub>-producing bacteria. Therefore, this study evaluates the properties of bio-concrete (BC) incorporated with kenaf fiber (KF) under static and dynamic stresses. CaCO<sub>3</sub>-producing <i>Bacillus subtilis</i> bacteria is added to concrete to produce BC. Thereafter, NaOH-treated KF is incorporated into the BC in varying contents and varying w/c. Concrete cube, beam and cylinder are casted to evaluate the effect of KF on the compressive, flexural and impact strengths. In addition, the impact ductility index and energy absorption of the concrete specimens are evaluated. The results show that 1% KF decreased the workability of BC by 42%. Incorporation of 1% KF to BC provided compressive strength (<i>f</i><sub><i>ck</i></sub>) higher than normal concrete, with an increment of 7.6%. The flexural strength (<i>f</i><sub><i>t</i></sub>) of BC increased by 35% when 1% KF is incorporated, and by 16% when 2% KF is added. Furthermore, KF in BC decreased energy absorption and impact resistance.
DOI: 10.6084/m9.figshare.28429503.v1
title: Static and Dynamic Resistance of Bio-concrete Incorporated with Kenaf Fiber

description: Concrete as a choice construction material is due to the availability of its constituents. However, certain properties need to be improved to enhance the performance of the concrete structures. Such improvements include incorporation of CaCO<sub>3</sub>-producing bacteria to increase the strength. However, the brittle nature of concrete makes it less ductile even with the CaCO<sub>3</sub>-producing bacteria. Therefore, this study evaluates the properties of bio-concrete (BC) incorporated with kenaf fiber (KF) under static and dynamic stresses. CaCO<sub>3</sub>-producing <i>Bacillus subtilis</i> bacteria is added to concrete to produce BC. Thereafter, NaOH-treated KF is incorporated into the BC in varying contents and varying w/c. Concrete cube, beam and cylinder are casted to evaluate the effect of KF on the compressive, flexural and impact strengths. In addition, the impact ductility index and energy absorption of the concrete specimens are evaluated. The results show that 1% KF decreased the workability of BC by 42%. Incorporation of 1% KF to BC provided compressive strength (<i>f</i><sub><i>ck</i></sub>) higher than normal concrete, with an increment of 7.6%. The flexural strength (<i>f</i><sub><i>t</i></sub>) of BC increased by 35% when 1% KF is incorporated, and by 16% when 2% KF is added. Furthermore, KF in BC decreased energy absorption and impact resistance.
DOI: 10.15468/dl.8stt3u
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.286 -9.863955000000001, 150.214689 -9.869512, 150.145126 -9.886049, 150.079018 -9.91316, 150.017989 -9.950179, 149.963536 -9.996198, 149.917 -10.050087, 149.879528 -10.110523, 149.852044 -10.176021, 149.835232 -10.244972, 149.829512 -10.315678, 149.835031 -10.386399, 149.851662 -10.455394, 149.879001 -10.520962, 149.916381 -10.581487, 149.962885 -10.635474, 150.017369 -10.68159, 150.078491 -10.718697, 150.144743 -10.745878, 150.214487 -10.76246, 150.286 -10.768033, 150.357513 -10.76246, 150.427257 -10.745878, 150.493509 -10.718697, 150.554631 -10.68159, 150.609115 -10.635474, 150.655619 -10.581487, 150.692999 -10.520962, 150.720338 -10.455394, 150.736969 -10.386399, 150.742488 -10.315678, 150.736768 -10.244972, 150.719956 -10.176021, 150.692472 -10.110523, 150.655 -10.050087, 150.608464 -9.996198, 150.554011 -9.950179, 150.492982 -9.91316, 150.426874 -9.886049, 150.357311 -9.869512, 150.286 -9.863955000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044830-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28253912
title: Visual Feedback System Supporting Robotic Manipulation of Hemp Plants

description: This paper presents an agricultural robotics system designed to automate the detection and manipulation of male hemp plants, addressing the challenge of manually removing these to enhance crop quality. The solution uses an industry-standard, inexpensive RGB-D camera as the input data source to derive control signals controlling the robotic arm and end effector. Input image data processing is performed by a dedicated neural network model trained using a dataset created specifically for the described task to achieve detection by stalk segmentation and postprocessing. The research involved assessing various neural network models, including UNet, DeepLabV3+, and YOLOv8 in various variants, for their capability to detect stalks accurately and swiftly. Fast operation is necessary for effective real-time feedback in robotic grasping tasks. Among tested architectures, the integration of UNet with ResNet50 was found to provide a good trade-off between detection precision and operational speed on edge AI devices. The resulting solution offers good accuracy and significantly outperforms existing methods in terms of processing speed, promising substantial improvements in agricultural robotics by enabling on-line adaptive grasping using low-cost components. The applications can be extended beyond hemp tending to include various other crops, eliminating tedious manual labor.