cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tswbh5
title: Occurrence Download

description: A dataset containing 6968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iceland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fratercula arctica (Linnaeus, 1758)"
 ]
}

 The dataset includes 6968 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054747-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg9bs2
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phenacoccus solani Ferris, 1918"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334735-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhf85h
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is ARG",
 "GadmGid is CHL",
 "GadmGid is URY",
 "GadmGid is PRY",
 "GadmGid is BRA.24_1",
 "GadmGid is BRA.16_1",
 "GadmGid is BRA.21_1"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cryptantha Lehm. ex Fisch. & C.A.Mey."
 ]
}

 The dataset includes 550 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077633-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9e8pz
title: Occurrence Download

description: A dataset containing 14672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera alpigena L."
 ]
}

 The dataset includes 14672 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nunds
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tropidurus hispidus (Spix, 1825)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 586 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pveiqe
title: Occurrence Download

description: A dataset containing 1104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Pharomachrus mocinno La Llave, 1832",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1104 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaamqk
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenaria aegaea Rech.fil."
 ]
}

 The dataset includes 91 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe00ie
title: Occurrence Download

description: A dataset containing 2427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galemys pyrenaicus (É.Geoffroy Saint-Hilaire, 1811)"
 ]
}

 The dataset includes 2427 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015842-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43pphc
title: Occurrence Download

description: A dataset containing 8938 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus onobrychis L."
 ]
}

 The dataset includes 8938 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047251-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzathu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scholtzia quindecim Rye"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192957-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndmrrk
title: Occurrence Download

description: A dataset containing 6995 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 6995 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000548-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bq928
title: Occurrence Download

description: A dataset containing 35148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Year is 2022",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 35148 records from 458 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101644-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybnsue
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saurauia punduana Wall."
 ]
}

 The dataset includes 107 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101645-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46tudb
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sabulina uralensis (Clerc) Dillenb. & Kadereit"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101646-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv6xfm
title: Occurrence Download

description: A dataset containing 210029 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix repens L."
 ]
}

 The dataset includes 210029 records from 744 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101633-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10929361
title: Enhancing Credit Risk Assessment in Digital Finance through a Hybrid Deep Learning Model Integrated with Blockchain on the Edge of Things F

description: This work proposes a credit risk assessment model using deep learning models such as self-attention generative adversarial networks (SA-GAN) and deep multi-layer perceptron (DMLP). Blockchain is used to improve the security aspects of the model by employing Brakerski-Gentry-Vaikuntanathan (BKV) encryption technique. Further, the proposed system is implemented in Edge-of-things network and communications are enabled via LoRaWAN server.
DOI: 10.5281/zenodo.10929362
title: Enhancing Credit Risk Assessment in Digital Finance through a Hybrid Deep Learning Model Integrated with Blockchain on the Edge of Things F

description: This work proposes a credit risk assessment model using deep learning models such as self-attention generative adversarial networks (SA-GAN) and deep multi-layer perceptron (DMLP). Blockchain is used to improve the security aspects of the model by employing Brakerski-Gentry-Vaikuntanathan (BKV) encryption technique. Further, the proposed system is implemented in Edge-of-things network and communications are enabled via LoRaWAN server.
DOI: 10.15468/dl.ubezy2
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saurauia purgans B.L.Burtt"
 ]
}

 The dataset includes 69 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101647-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6d49q
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sabulina velenovskyi (Rohlena) Dillenb. & Kadereit"
 ]
}

 The dataset includes 18 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101649-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmahqc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saurauia purpurellifolia Kaneh. & Hatus."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101651-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3n5zx
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Ormosia hosiei Hemsl. & E.H.Wilson"
 ]
}

 The dataset includes 85 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101650-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvwvhw
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 "TaxonKey is one of (Bdella Latreille, 1795)"
 ]
}

 The dataset includes 425 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101652-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf8kep
title: Occurrence Download

description: A dataset containing 711572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Month is May"
 ]
}

 The dataset includes 711572 records from 650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101641-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2hwz3h
title: CCDC 2320787: Experimental Crystal Structure Determination

description: Related Article: Valerii Y. Sirenko, Olesia I. Kucheriv, Sergiu Shova, Sergii I. Shylin, Vadim Ksenofontov, Igor O. Fritsky, Wolfgang Tremel, Il'ya A. Gural'skiy|2024|Dalton Trans.|53|4251|doi:10.1039/D3DT04372J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hwz4j
title: CCDC 2320788: Experimental Crystal Structure Determination

description: Related Article: Valerii Y. Sirenko, Olesia I. Kucheriv, Sergiu Shova, Sergii I. Shylin, Vadim Ksenofontov, Igor O. Fritsky, Wolfgang Tremel, Il'ya A. Gural'skiy|2024|Dalton Trans.|53|4251|doi:10.1039/D3DT04372J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hwz5k
title: CCDC 2320789: Experimental Crystal Structure Determination

description: Related Article: Valerii Y. Sirenko, Olesia I. Kucheriv, Sergiu Shova, Sergii I. Shylin, Vadim Ksenofontov, Igor O. Fritsky, Wolfgang Tremel, Il'ya A. Gural'skiy|2024|Dalton Trans.|53|4251|doi:10.1039/D3DT04372J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2023-02.2753247/2313752
title: Data for EMSL Project 51287 from February 2023
DOI: 10.5517/ccdc.csd.cc2hc0sp
title: CCDC 2304502: Experimental Crystal Structure Determination

description: Related Article: Yuki Imamura, Haruka Yoshino, Benjamin Le Ouay, Ryo Ohtani, Masaaki Ohba|2024|Dalton Trans.|53|3970|doi:10.1039/D3DT03914E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hy58x
title: CCDC 2321939: Experimental Crystal Structure Determination

description: Related Article: shota fukuma|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2023-02.2752986/2313753
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754520/2313754
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2750597/2313755
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753062/2313756
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751721/2313757
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2750243/2313758
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751598/2313759
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751690/2313760
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753745/2313761
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755057/2313762
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751124/2313763
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755505/2313764
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751590/2313765
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755243/2313766
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752300/2313767
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752816/2313768
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752609/2313769
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751660/2313770
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755129/2313771
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753722/2313772
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752121/2313773
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755396/2313774
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752979/2313775
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752999/2313776
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753738/2313777
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754239/2313778
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752341/2313779
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752932/2313780
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755157/2313781
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2750170/2313782
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2750428/2313783
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752898/2313784
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755097/2313785
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754596/2313786
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751181/2313787
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751232/2313788
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752973/2313789
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.24947508.v6
title: <b>Development and Validation of an Interprofessional Collaborative Educational Module on the Self-Management of Foot for Individuals with Type II Diabetes Mellitus</b>

description: <b>Background: </b>Insufficient awareness of foot self-care among diabetic individuals results in diabetic foot ulcers. The management of diabetes and diabetic foot ulcers demands a well-coordinated approach that involves multiple healthcare providers (HCPs). The present study aims to develop and validate an interprofessional collaborative (IPC) educational program involving HCPs to efficiently oversee and instruct the public on appropriate strategies for self-managing diabetic foot health.<b>Materials and Methods: </b>The research group worked on creating an educational module titled 'An Interprofessional Collaborative Educational Module on Self-Management of Foot for Individuals with Type II Diabetes Mellitus.' The objective of this module was to promote the adoption of proper practices in self-managing foot health for individuals with type 2 diabetes mellitus. A panel of thirteen experts participated in a two-stage validation process using the Delphi method to assess the module and its educational resources. Subsequently, the module was tested on a group of 30 participants, i.e., individuals with diabetes, with its efficacy evaluated through conversation analysis and in-depth interviews.<b>Results: </b>The three-month-long module included three sessions• 1: Diabetes and its Health Implications• 2: Diabetic Foot and Self-Management• 3: Interprofessional Education in Diabetic foot careThe mode of content delivery was via Whatsapp, and the educational resources, in the form of pamphlets, flowcharts, handouts, case-based cartoons, and videos on diabetes, including diabetic foot, its risks, and self-management, were shared regularly.All participating experts consensually validated the module and educational resources. Analysis of in-depth interviews revealed that the module immensely benefitted the participants and helped them improve their knowledge and practices of foot care in diabetes.<b>Conclusion: </b>The study concludes that IPC educational modules can enhance adherence to proper diabetic foot care practices, potentially reducing the occurrence of foot ulcers and amputations, and ultimately improving the quality of life for individuals with diabetes.
DOI: 10.25582/data.2023-02.2755140/2313790
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753708/2313791
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752843/2313792
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752472/2313793
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753020/2313794
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2752382/2313795
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754488/2313796
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753559/2313797
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754012/2313798
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751149/2313799
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753702/2313800
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751602/2313801
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751612/2313802
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2750968/2313803
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751562/2313804
title: Data for EMSL Project 51287 from February 2023
DOI: 10.18112/openneuro.ds004995.v1.0.0
title: The Time-Course of Food Representation in the Human Brain
DOI: 10.25582/data.2023-02.2754622/2313805
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751121/2313806
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754257/2313807
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2751084/2313808
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754717/2313809
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755364/2313810
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753355/2313811
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754322/2313812
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754312/2313813
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2754700/2313814
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2755141/2313815
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2753639/2313816
title: Data for EMSL Project 51287 from February 2023