cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yjj3hr
title: Occurrence Download

description: A dataset containing 23944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Albizia julibrissin Durazz."
 ]
}

 The dataset includes 23944 records from 483 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041119-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ksm36
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mertensiella luschani (Steindachner, 1891)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080088-240626123714530/datasets/export for details.
DOI: 10.15468/dl.xaxpd2
title: Occurrence Download

description: A dataset containing 69 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cylindrodesmus hirsutus Pocock, 1889",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080090-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejpsjy
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podarcis milensis (Bedriaga, 1882)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 94 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080091-240626123714530/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.23747592
title: DENND5A-related developmental and epileptic encephalopathy driven by loss of symmetric cell division of apical neural progenitors

description: Source data for all major experiments in the manuscript. Each sheet contains the source data for a different experiment. All human and animal data were collected with ethical approval from the appropriate institutional review boards.
DOI: 10.6084/m9.figshare.23747592.v1
title: DENND5A-related developmental and epileptic encephalopathy driven by loss of symmetric cell division of apical neural progenitors

description: Source data for all major experiments in the manuscript. Each sheet contains the source data for a different experiment. All human and animal data were collected with ethical approval from the appropriate institutional review boards.
DOI: 10.6084/m9.figshare.26045401
title: Chirality Hierarchical Transfer in Homochiral Polymer Crystallization Under High-pressure CO2

description: Saw data includes testing results of GIWAXS, DSC, VCD, ECD, AFM, and TEM. These data are used to demonstrate the authenticity and repeatability of the data in the article "Chirality Hierarchy Transfer in Homochiral Polymer Crystallization Under High pressure CO2".
DOI: 10.6084/m9.figshare.26045401.v1
title: Chirality Hierarchical Transfer in Homochiral Polymer Crystallization Under High-pressure CO2

description: Saw data includes testing results of GIWAXS, DSC, VCD, ECD, AFM, and TEM. These data are used to demonstrate the authenticity and repeatability of the data in the article "Chirality Hierarchy Transfer in Homochiral Polymer Crystallization Under High pressure CO2".
DOI: 10.15468/dl.exy6gd
title: Occurrence Download

description: A dataset containing 13424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Senna pendula (Humb. & Bonpl. ex Willd.) H.S.Irwin & Barneby, Senna pendula var. pendula, Senna pendula var. dolichandra H.S.Irwin & Barneby, Senna pendula var. ambigua H.S.Irwin & Barneby, Senna pendula var. meticola H.S.Irwin & Barneby, Senna pendula var. indistincta H.S.Irwin & Barneby, Senna pendula var. paludicola H.S.Irwin & Barneby, Senna pendula var. indecora (Kunth) Luckow, Senna pendula var. missionum H.S.Irwin & Barneby, Senna pendula var. recondita H.S.Irwin & Barneby, Senna pendula var. eriocarpa (Griseb.) H.S.Irwin & Barneby, Senna pendula var. advena (Willd. ex Vogel) H.S.Irwin & Barneby, Senna pendula var. stahlii (Urb.) H.S.Irwin & Barneby, Senna pendula var. ovalifolia (Britton & Rose) H.S.Irwin & Barneby, Senna pendula var. scandens (Benth.) H.S.Irwin & Barneby, Senna pendula var. tenuifolia (Benth.) H.S.Irwin & Barneby)"
 ]
}

 The dataset includes 13424 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080089-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wg5gn
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BioAcoustica: Wildlife Sounds Database"
 ]
}

 The dataset includes 207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080095-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bchnsw
title: Occurrence Download

description: A dataset containing 10811 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Oxidus gracilis (C.L.Koch, 1847)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 10811 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080092-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m4u9c
title: Occurrence Download

description: A dataset containing 1529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Algyroides nigropunctatus (Duméril & Bibron, 1839)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1529 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080094-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r6w8u
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is one of (IDN.23_1, IDN.18_1, IDN.19_1, IDN.19.6_1, IDN.19.7_1, IDN.19.5_1, IDN.19.8_1, IDN.22_1, IDN.25_1, IDN.26_1, IDN.27_1, IDN.28_1, IDN.29_1)",
 "Geometry POLYGON((51.68494 -15.11270,207.31506 -15.11270,207.31506 47.11270,51.68494 47.11270,51.68494 -15.11270))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carlia beccarii (Peters & Doria, 1878)",
 "Year 2004-2024"
 ]
}

 The dataset includes 52 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080096-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3w35vt
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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Boreviulisoma liouvillei Brölemann, 1928",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080097-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kndxe9
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Papua New Guinea, Indonesia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron rarum Schltr."
 ]
}

 The dataset includes 84 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080098-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3769
title: FSD3769 Child Victim Survey 2022
DOI: 10.60686/t-fsd3740
title: FSD3740 Poverty and Welfare Survey 2005
DOI: 10.15468/dl.x5xka3
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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Metonomastus capreae (Verhoeff, 1942)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080099-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4zx2hp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.85277 -7.75579,146.14723 -7.75579,146.14723 6.75579,109.85277 6.75579,109.85277 -7.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emoia kuekenthali (Boettger, 1895)",
 "Year 2004-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080100-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9rcch
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((118.20362 -17.31371,174.79638 -17.31371,174.79638 5.31371,118.20362 5.31371,118.20362 -17.31371))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emoia longicauda (Macleay, 1877)",
 "Year 2004-2024"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080102-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzbfzy
title: Occurrence Download

description: A dataset containing 4121 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversidad asociada al proyecto Conexión Urabá - Nueva Colonia - Apartadó a 110 kV, Antioquia"
 ]
}

 The dataset includes 4121 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080101-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b5pbe
title: Occurrence Download

description: A dataset containing 208989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.87534 -25.38648,27.24422 -25.37381,27.24907 -25.10538,26.90625 -25.08143,26.87534 -25.38648))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 208989 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080069-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqhfbx
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((112.35277 -8.75579,148.64723 -8.75579,148.64723 5.75579,112.35277 5.75579,112.35277 -8.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emoia reimschiisseli Tanner, 1950",
 "Year 2004-2024"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080103-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13324135
title: Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

description: This replication package contains the following information:



Data extraction from literature & interviews: Generation Structural & Measurement Model via literature and interviews.xlsx - here you can find the mapping of the extracted phrases to inductively summarise information regarding the structural and measurement models.

Dataset of runtime monitoring data extracted from TrainTicket via EvoMaster: 



TrainTicket faults classification.xlxs: Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results

IndicatorDescriptionbasedonAnomalyDetectionToolsInterviews.xlsx: description and mapping of selected indicators to the defined parameters from previous work 

Unfortunately, the size of the datasets generated via EvoMaster and their injected faults are too big to upload here, thus, they will be available here: Datasets with injected anomalies



the error description can be found here

the datasets are named ts-error-indicatorOfError-reset.zip because the databases are getting reset so that no anomalies are introduced with wrong database entries





Code for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:



link to the Github repository



reports regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data. Please be aware that opening the reports can leas to out of memory due to their size:



Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip & MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip 

Assessment of Structural Model: StructuralModel_TrainTicket_errorcleaned.zip & StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip




---------------------------------------

Future work not elaborated in the associated paper due to space restrictions:



reports regarding F5 error: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip
DOI: 10.5281/zenodo.13324136
title: Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

description: This replication package contains the following information:



Dataset of runtime monitoring data extracted from TrainTicket via EvoMaster: 



TrainTicket faults classification.xlxs: Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results

Datasets.zip: all the datasets generated via EvoMaster and their injected faults



Code for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:



link to the Github repository



reports regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data:



Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip & MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip 

Assessment of Structural Model: StructuralModel_TrainTicket_errorcleaned.zip & StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip




---------------------------------------

Future work not elaborated in the associated paper due to space restrictions:



reports regarding F5 error: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip
DOI: 10.5281/zenodo.13342457
title: Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

description: This replication package contains the following information:



Dataset of runtime monitoring data extracted from TrainTicket via EvoMaster: 



TrainTicket faults classification.xlxs: Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results

IndicatorDescriptionbasedonAnomalyDetectionToolsInterviews.xlsx: description and mapping of selected indicators to the defined parameters from previous work 

Unfortunately, the size of the datasets generated via EvoMaster and their injected faults are too big to upload here, thus, they will be available here: Datasets with injected anomalies



the error description can be found here

the datasets are named ts-error-indicatorOfError-reset.zip because the databases are getting reset so that no anomalies are introduced with wrong database entries





Code for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:



link to the Github repository



reports regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data. Please be aware that opening the reports can leas to out of memory due to their size:



Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip & MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip 

Assessment of Structural Model: StructuralModel_TrainTicket_errorcleaned.zip & StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip




---------------------------------------

Future work not elaborated in the associated paper due to space restrictions:



reports regarding F5 error: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip
DOI: 10.5281/zenodo.13349633
title: Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

description: This replication package contains the following information:



Data extraction from literature & interviews: Generation Structural & Measurement Model via literature and interviews.xlsx - here you can find the mapping of the extracted phrases to inductively summarise information regarding the structural and measurement models.

Dataset of runtime monitoring data extracted from TrainTicket via EvoMaster: 



TrainTicket faults classification.xlxs: Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results

IndicatorDescriptionbasedonAnomalyDetectionToolsInterviews.xlsx: description and mapping of selected indicators to the defined parameters from previous work 

Unfortunately, the size of the datasets generated via EvoMaster and their injected faults are too big to upload here, thus, they will be available here: Datasets with injected anomalies



the error description can be found here

the datasets are named ts-error-indicatorOfError-reset.zip because the databases are getting reset so that no anomalies are introduced with wrong database entries





Code for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:



link to the Github repository



reports regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data. Please be aware that opening the reports can leas to out of memory due to their size:



Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip & MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip 

Assessment of Structural Model: StructuralModel_TrainTicket_errorcleaned.zip & StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip




---------------------------------------

Future work not elaborated in the associated paper due to space restrictions:



reports regarding F5 error: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip
DOI: 10.5281/zenodo.13364304
title: A Case Study of Thermospheric Exospheric Temperature Responses during the G-condition at Mohe and Beijing Stations

description: The Data presents the data shown in Figure 1-3.Geomagnetic_condition.mat includes the data of IMF By, IMF Bz, Dst index, Kp index and F107 index presented in Figure 1.observations.mat includes the data of peak Ne and Peak Ne height at Mohe and Beijing presented in Figure 2a and 2b.Retrieved_Tex.mat includes the data of retrieved Tex at Mohe and Beijing presented in Figure 2c and 2d.Chemiccal_reaction_rate_and_O_to_N2.mat includes the data of chemical reaction rate and O/N2 at Mohe and Beijing presented in Figure 3.ionogram.rar includes ionograms at Beijing and Mohe during the G-condition. Title of each ionogram is named as 'XXXXUT(XXXXLT)', representing hour and second in universal time and in local time.For instance, '0015UT(0800LT)' corresponds to 00:15 UT and 8:00 LT.
DOI: 10.5281/zenodo.13364305
title: A Case Study of Thermospheric Exospheric Temperature Responses during the G-condition at Mohe and Beijing Stations

description: The Data presents the data shown in Figure 1-3.Geomagnetic_condition.mat includes the data of IMF By, IMF Bz, Dst index, Kp index and F107 index presented in Figure 1.observations.mat includes the data of peak Ne and Peak Ne height at Mohe and Beijing presented in Figure 2a and 2b.Retrieved_Tex.mat includes the data of retrieved Tex at Mohe and Beijing presented in Figure 2c and 2d.Chemiccal_reaction_rate_and_O_to_N2.mat includes the data of chemical reaction rate and O/N2 at Mohe and Beijing presented in Figure 3.ionogram.rar includes ionograms at Beijing and Mohe during the G-condition. Title of each ionogram is named as 'XXXXUT(XXXXLT)', representing hour and second in universal time and in local time.For instance, '0015UT(0800LT)' corresponds to 00:15 UT and 8:00 LT.
DOI: 10.15468/dl.4y9y8a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((109.85277 -6.75579,146.14723 -6.75579,146.14723 7.75579,109.85277 7.75579,109.85277 -6.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emoia sorex (Boettger, 1895)",
 "Year 2004-2024"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080105-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.