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

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Cenostigma aculeatifolium Burkart",
 "TaxonKey is Lophocarpinia Burkart"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 }
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095533-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjbbj2
title: Occurrence Download

description: A dataset containing 1211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conepatus leuconotus leuconotus"
 ]
}

 The dataset includes 1211 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059145-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95z74w
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etlingera sayapensis A.D.Poulsen & Ibrahim"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203815-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec39er
title: Occurrence Download

description: A dataset containing 665172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer pseudoplatanus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 665172 records from 1507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025110-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k34tje
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is less than or equal to 1900",
 "OrderKey is Coleoptera",
 "Country is France",
 "StateProvince is Herault"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002398-250415084134356/datasets/export for details.
DOI: 10.15468/dl.9dapdc
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parlatoria proteus (Curtis, 1843)",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 31 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017966-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13939630
title: Cloning, characterization, and computer- aided evolution of a thermostable laccase of the DUF152 family from Klebsiella michiganensis

description: Bacterial laccases exhibit relatively high optimal reaction temperatures and possess a broad substrate spectrum, thereby expanding the range of potential applications for laccase enzymes. This study aims to investigate the molecular evolution of bacterial laccases using computational 3D-structure prediction and molecular docking tools such as AlphaFold2, Metal3D, AutoDockVina, and Rosetta. We isolated a bacterium with laccase activities from fecal samples from a Hermann´s tortoise (Testudo hermanni), identified it as Klebsiella michiganensis using 16S rRNA sequencing and nanopore genome sequencing, and then identified a sequence encoding a laccase with a predicted molecular weight of approximately 27.5 kDa. Expression of the corresponding, chemically synthesized DNA fragment resulted in the isolation of an active laccase. The enzyme showed considerable thermostability, retaining 21% of its activity after boiling for 30 min. Using state-of-the-art information technology and machine learning techniques, we conducted 3D-structure prediction on this sequence, predicted its copper-ion binding sites, and validated these predictions through site-directed mutagenesis and expression. Subsequently, we performed computer-aided evolution studies on this sequence and found that 90% of the results from the selected mutations exhibited improved performance. In summary, this study not only revealed a novel laccase but also demonstrated an efficient approach for advancing research on the molecular evolution of bacterial laccases using cutting-edge machine learning, next-generation sequencing, traditional bioinformatics approaches, and laboratory techniques, providing an effective strategy for discovering and design new bacterial laccases.
DOI: 10.5281/zenodo.13939631
title: Cloning, characterization, and computer- aided evolution of a thermostable laccase of the DUF152 family from Klebsiella michiganensis

description: Bacterial laccases exhibit relatively high optimal reaction temperatures and possess a broad substrate spectrum, thereby expanding the range of potential applications for laccase enzymes. This study aims to investigate the molecular evolution of bacterial laccases using computational 3D-structure prediction and molecular docking tools such as AlphaFold2, Metal3D, AutoDockVina, and Rosetta. We isolated a bacterium with laccase activities from fecal samples from a Hermann´s tortoise (Testudo hermanni), identified it as Klebsiella michiganensis using 16S rRNA sequencing and nanopore genome sequencing, and then identified a sequence encoding a laccase with a predicted molecular weight of approximately 27.5 kDa. Expression of the corresponding, chemically synthesized DNA fragment resulted in the isolation of an active laccase. The enzyme showed considerable thermostability, retaining 21% of its activity after boiling for 30 min. Using state-of-the-art information technology and machine learning techniques, we conducted 3D-structure prediction on this sequence, predicted its copper-ion binding sites, and validated these predictions through site-directed mutagenesis and expression. Subsequently, we performed computer-aided evolution studies on this sequence and found that 90% of the results from the selected mutations exhibited improved performance. In summary, this study not only revealed a novel laccase but also demonstrated an efficient approach for advancing research on the molecular evolution of bacterial laccases using cutting-edge machine learning, next-generation sequencing, traditional bioinformatics approaches, and laboratory techniques, providing an effective strategy for discovering and design new bacterial laccases.
DOI: 10.17632/krkft96n43.2
title: Multisense

description: if you use this dataset please cite the following paper:

GAZADeepDav: A High Resolution Geotagged Satellite Imagery Dataset For Analyzing War-Induced Damage 
M. Bouabid and M. Farah, "GAZADeepDav: A High Resolution Geotagged Satellite Imagery Dataset For Analyzing War-Induced Damage," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 8876-8879, doi: 10.1109/IGARSS53475.2024.10642306.keywords: {Training;Accuracy;Recurrent neural networks;Image resolution;Geoscience and remote sensing;Satellite images;Task analysis;Satellite images;Deep learning;Gaza War;damage Detection;SqueezeNet;BiLSTM},

This dataset, named MultiSense, is designed to enhance disaster response by providing comprehensive data from multiple sources. It comes in two versions: balanced and unbalanced. The dataset consists of five distinct classes, each representing different types of events or conditions:

Syria Earthquake: This class includes imagery and video footage related to earthquake damage. The data captures the aftermath of seismic events, showcasing various degrees of destruction.

Gaza War: This class contains data depicting war-related damage. It includes imagery and videos from conflict zones, highlighting the impact of warfare on infrastructure and urban areas.

Hurricane Harvey: This class encompasses data related to hurricane damage. It includes imagery and footage showing the effects of strong winds, flooding, and storm surges associated with hurricanes.

Libya Flood: This class features imagery and videos of flood damage. It documents areas affected by flooding, capturing the extent of water damage to buildings, roads, and landscapes.

No Damage: This class provides imagery and footage of areas with no significant damage. It serves as a control group, representing normal conditions without the impact of natural disasters or conflicts.
DOI: 10.17632/krkft96n43.1
title: Multisense

description: This dataset, named MultiSense, is designed to enhance disaster response by providing comprehensive data from multiple sources. It comes in two versions: balanced and unbalanced. The dataset consists of five distinct classes, each representing different types of events or conditions:

Syria Earthquake: This class includes imagery and video footage related to earthquake damage. The data captures the aftermath of seismic events, showcasing various degrees of destruction.

Gaza War: This class contains data depicting war-related damage. It includes imagery and videos from conflict zones, highlighting the impact of warfare on infrastructure and urban areas.

Hurricane Harvey: This class encompasses data related to hurricane damage. It includes imagery and footage showing the effects of strong winds, flooding, and storm surges associated with hurricanes.

Libya Flood: This class features imagery and videos of flood damage. It documents areas affected by flooding, capturing the extent of water damage to buildings, roads, and landscapes.

No Damage: This class provides imagery and footage of areas with no significant damage. It serves as a control group, representing normal conditions without the impact of natural disasters or conflicts.
DOI: 10.18131/3an84-t0916
title: 4D Flow Healthy Aorta Atlases
DOI: 10.15468/dl.fqzd4k
title: Occurrence Download

description: A dataset containing 2117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achatina fulica Bowdich, 1822"
 ]
}

 The dataset includes 2117 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017967-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aym4uv
title: Occurrence Download

description: A dataset containing 1697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycorma delicatula (White, 1845)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1981",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is one of (United States of America, Mexico, Canada)"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is one of (Chinese Taipei)"
 ]
 }
 }
 ]
}

 The dataset includes 1697 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017968-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/aozlgvlvajrlps-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (1-iodo-2-phenoxybenzene)
title: InChI=1S/C12H9IO/c13-11-8-4-5-9-12(11)14-10-6-2-1-3-7-10/h1-9H

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.21989/d9/qrwsdg/bmdd7e
title: 00_README_dartmouth_atlas_capacity.txt
DOI: 10.17632/5z4t8vcksj.1
title: Shear wave splitting parameters recovered in the Valley of Mexico

description: Shear wave splitting measurements were obtained from a local seismic network, located in the Valley of Mexico, which allow viewing the structural and tectonic characteristics of the area. The data is separated according to the number of Figures.
DOI: 10.15468/dl.ngdhzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Meligethes reitteri Schilsky, 1894",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017969-241007104925546/datasets/export for details.
DOI: 10.21989/d9/qrwsdg/h1syhi
title: 2006_hosp_phys_hrr.xls
DOI: 10.14272/aozlgvlvajrlps-uhfffaoysa-n.2
title: 1-iodo-2-phenoxy-benzene
title: InChI=1S/C12H9IO/c13-11-8-4-5-9-12(11)14-10-6-2-1-3-7-10/h1-9H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C12H9IO/c13-11-8-4-5-9-12(11)14-10-6-2-1-3-7-10/h1-9H, and canonical SMILES descriptor[cheminf_000007]: Ic1ccccc1Oc1ccccc1, and by the IUPAC name[cheminf_000107]: 1-iodo-2-phenoxybenzene.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-47540

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 54.1 - 54.5 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/aozlgvlvajrlps-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (1-iodo-2-phenoxybenzene)
title: InChI=1S/C12H9IO/c13-11-8-4-5-9-12(11)14-10-6-2-1-3-7-10/h1-9H

description: dataset for correlation spectroscopy (COSY)
DOI: 10.21989/d9/qrwsdg/f75rbb
title: 2011_phys_hrr.xls
DOI: 10.15468/dl.q6zyan
title: Occurrence Download

description: A dataset containing 204861 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Scottish Squirrel Database"
 ]
}

 The dataset includes 204861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017859-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/qrwsdg/vmclyi
title: 2012_hosp_resource_hrr.xls
DOI: 10.17632/f7xyzyrc58.2
title: Dataset of Noise Signals Generated by Smart Attackers for Disrupting State of Health and State of Charge Estimations of Battery Energy Storage Systems

description: This dataset is derived from real-time MATLAB/Simscape simulations, focusing on the impact of subtle noise signals on battery energy storage systems. Using Proximal Policy Optimization (PPO), noise signals in millivolt and milliampere ranges are generated to stealthily disrupt the State of Charge (SoC) and State of Health (SoH) estimations within Unscented Kalman Filters (UKF). Designed to evade detection while causing estimation errors, this dataset is a valuable resource for studying and mitigating smart cyber-physical attacks. It can be reused in research to enhance the resilience of SoC and SoH estimation methods and develop robust defensive strategies.
DOI: 10.21989/d9/qrwsdg/j1kfzs
title: 2006_hosp_phys_hsa.xls
DOI: 10.21989/d9/qrwsdg/pwshfx
title: 1996_hosp_phys_hrr.xls
DOI: 10.21989/d9/weq6on/owpyk9
title: A12_WestNY_HSA_rates_0306.xls
DOI: 10.3886/e209681
title: Traces of national culture on the websites of the best hotels as determined by TripAdvisor

description: This study explores the
intricate relationship between national culture and digital communication
strategies in the tourism and hospitality industry, focusing specifically on
Hofstede's uncertainty avoidance dimension. Analyzing the websites of the top 25
hotels on TripAdvisor, we uncover how cultural traits shape online marketing
and customer engagement. Our findings reveal distinct patterns in website
design and content tailored to varying levels of uncertainty avoidance. Hotels
in medium uncertainty avoidance cultures adopt a balanced approach, emphasizing
personalized experiences, luxury, and guest-oriented language, thereby
appealing to diverse consumer preferences. In contrast, hotels in high
uncertainty avoidance cultures prioritize security, reliability, and detailed
information, fostering trust and reducing perceived risks for potential guests.
This research not only highlights the significance of cultural dimensions in
shaping online communication strategies but also provides actionable insights
for hotel managers seeking to enhance their digital presence. The study
contributes to the broader understanding of how culture influences consumer
behavior in digital environments and underscores the need for culturally
adaptive communication strategies in the tourism and hospitality industry.
DOI: 10.3886/e209681v1
title: Traces of national culture on the websites of the best hotels as determined by TripAdvisor

description: This study explores the
intricate relationship between national culture and digital communication
strategies in the tourism and hospitality industry, focusing specifically on
Hofstede's uncertainty avoidance dimension. Analyzing the websites of the top 25
hotels on TripAdvisor, we uncover how cultural traits shape online marketing
and customer engagement. Our findings reveal distinct patterns in website
design and content tailored to varying levels of uncertainty avoidance. Hotels
in medium uncertainty avoidance cultures adopt a balanced approach, emphasizing
personalized experiences, luxury, and guest-oriented language, thereby
appealing to diverse consumer preferences. In contrast, hotels in high
uncertainty avoidance cultures prioritize security, reliability, and detailed
information, fostering trust and reducing perceived risks for potential guests.
This research not only highlights the significance of cultural dimensions in
shaping online communication strategies but also provides actionable insights
for hotel managers seeking to enhance their digital presence. The study
contributes to the broader understanding of how culture influences consumer
behavior in digital environments and underscores the need for culturally
adaptive communication strategies in the tourism and hospitality industry.
DOI: 10.15468/dl.qj2pkh
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Soronia oblonga C.Brisout de Barneville, 1863",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 231 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017971-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5zyta
title: Occurrence Download

description: A dataset containing 27081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parthenium hysterophorus L.",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 27081 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017970-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13940275
title: THE LEVEL OF STUDY OF  KINSHIP TERMS
DOI: 10.5281/zenodo.13940276
title: THE LEVEL OF STUDY OF  KINSHIP TERMS
DOI: 10.21989/d9/qrwsdg/cpf2ok
title: 2012_hosp_resource_hsa.xls
DOI: 10.21989/d9/qrwsdg/pvtaw3
title: 2011_phys_hsa.xls
DOI: 10.18131/r6p6h-j4945
title: Table 12. Incidence by Age Among Females
DOI: 10.17632/jfkcr52vhj.1
title: Noise complaints

description: Database with complaints about noise complaints to municipalities in Santiago, Chile
DOI: 10.15468/dl.e442bj
title: Occurrence Download

description: A dataset containing 248685 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Response of soil bacteria to anthropogenic soil variables at large spatial scales"
 ]
}

 The dataset includes 248685 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017893-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgr3u2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ischnomera xanthoderes (Mulsant, 1858)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 44 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017972-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79pc7a
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parthenolecanium fletcheri (Cockerell, 1893)",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017974-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.