cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hdcf27
title: Occurrence Download

description: A dataset containing 6101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops maderaspatanus (Linnaeus, 1766)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 6101 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021363-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9am6fy
title: Occurrence Download

description: A dataset containing 13294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852), Faxonius virilis (Hagen, 1870), Faxonius limosus (Rafinesque, 1817), Procambarus virginalis Lyko, 2017, Pacifastacus leniusculus (Dana, 1852))"
 ]
}

 The dataset includes 13294 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067807-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vkzfl
title: Occurrence Download

description: A dataset containing 2912 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silurus asotus Linnaeus, 1758"
 ]
}

 The dataset includes 2912 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007916-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5qmqz
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum leeanum (Rchb.f.) Hágsater"
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157158-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9n47sm
title: Occurrence Download

description: A dataset containing 1815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curetis acuta Moore, 1877",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1815 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067817-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.odtljn
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciadopitys verticillata (Thunb.) Siebold & Zucc."
 ]
}

 The dataset includes 739 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007915-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ny7ea
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Porphyra C.Agardh, 1824"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157157-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mumfgr
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Citrullus lanatus (Thunb.) Mansf."
 ]
}

 The dataset includes 283 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273107-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8wbef
title: Occurrence Download

description: A dataset containing 2199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodophycota"
 ]
}

 The dataset includes 2199 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067818-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2zfj4
title: Occurrence Download

description: A dataset containing 17462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium alpinum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "Year is greater than 1945"
 ]
}

 The dataset includes 17462 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278694-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nazah3
title: Occurrence Download

description: A dataset containing 8455 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalotaxus Siebold & Zucc. ex Endl."
 ]
}

 The dataset includes 8455 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007918-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akkn6u
title: Occurrence Download

description: A dataset containing 770 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlomis viscosa Poir."
 ]
}

 The dataset includes 770 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007919-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a3xpe
title: Occurrence Download

description: A dataset containing 945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysozephyrus smaragdina (Bremer, 1861)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 945 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067806-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpkyjh
title: Occurrence Download

description: A dataset containing 4816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothrops Wagler, 1824"
 ]
}

 The dataset includes 4816 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157159-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6cbkg
title: Occurrence Download

description: A dataset containing 620305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "or" : [
 "DatasetKey is Hawk Migration Association of North America - HawkCount",
 "DatasetKey is BC Coastal Waterbird Survey",
 "DatasetKey is Marsh Monitoring Program - Birds",
 "DatasetKey is Ontario Breeding Bird Atlas 1981-1985",
 "DatasetKey is Great Backyard Bird Count",
 "DatasetKey is Canadian Lakes Loon Survey",
 "DatasetKey is EOD – eBird Observation Dataset",
 "DatasetKey is Ontario Breeding Bird Atlas 2001-2005",
 "DatasetKey is Marsh Monitoring Program - Amphibians"
 ]
 }
 },
 "Geometry POLYGON((-101.60156 -61.17187,-23.20313 -62.33327,-19.16016 2.10938,-37.44141 16.875,-34.67285 42.45117,-29.66309 62.57813,-20.52246 69.52148,-8.96484 82.61719,-7.55859 89.29688,-24.78516 88.94531,-164.70703 89.29688,-177.01172 4.57031,-101.60156 -61.17187))",
 {
 "or" : [
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "TaxonKey is Asclepias L."
 ]
 }
 ]
}

 The dataset includes 620305 records from 529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278688-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhfm9g
title: Occurrence Download

description: A dataset containing 388543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 2000-2025"
 ]
}

 The dataset includes 388543 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004209-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhvqx5
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Primula denticulata",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011091-250920141307145/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.28532210
title: A regional ocean dataset for the Coastal China Sea

description: A regional ocean database for Coastal China Sea (RODCCS) with original data from six repositories. The database covers the region of 116-135°E in longitude and 20-42°N in latitude, which embraces the Bohai Sea, the Yellow Sea, the East China Sea and a part of the Sea of Japan. Each variable, i.e., temperature, salinity, and dissolved oxygen, silicate, nitrate, nitrite, ammonium, phosphate, Chlorophyll a, dissolved inorganic carbon, dissolved organic carbon, particulate organic carbon concentrations, is quality-controlled (QCed) and stored in a Network Common Data Format (NetCDF) file. RODCCS includes twelve NetCDF files and each has a unified structure.
DOI: 10.6084/m9.figshare.28532210.v1
title: A regional ocean dataset for the Coastal China Sea

description: A regional ocean database for Coastal China Sea (RODCCS) with original data from six repositories. The database covers the region of 116-135°E in longitude and 20-42°N in latitude, which embraces the Bohai Sea, the Yellow Sea, the East China Sea and a part of the Sea of Japan. Each variable, i.e., temperature, salinity, and dissolved oxygen, silicate, nitrate, nitrite, ammonium, phosphate, Chlorophyll a, dissolved inorganic carbon, dissolved organic carbon, particulate organic carbon concentrations, is quality-controlled (QCed) and stored in a Network Common Data Format (NetCDF) file. RODCCS includes twelve NetCDF files and each has a unified structure.
DOI: 10.15468/dl.fy9n5e
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.58701 18.57244,-94.49037 17.66925,-85.78105 18.99177,-86.95281 22.9267,-98.16952 22.9267,-97.58701 18.57244))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brevoortia gunteri",
 "Year 2000-2022"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011093-250920141307145/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.28812212
title: Dynamic processes and the iterative effect of the finest roots on forest soil carbon accrual in the Northern Hemisphere

description: The dataset includes four parts: (1) decomposition records of each harvest from original observations and the fitting of decomposition rates and curves of the finest roots (i.e., absorptive roots) ("decomposition.origin.xlsx", "decomposition_ rate_fitting.R"); (2) the uncertainty analysis of standing biomass, turnover rate, and productivity of absorptive roots, as well as the iterative effects of absorptive root and leaf litters on soil carbon accural ("data.xlsx", "Data analysis.R"), which also includes the grouping of two mycorrhizal types (i.e., arbuscular mycorrhizal and ectomycorrhizal species) and in two biomes [ i.e., (sub)tropical, and temperate forests] ("data_group.xlsx", "Data analysis.R"); (3) the influence of biotic and abiotic factors on absorptive root dynamics ("factors.xlsx", "Data analysis.R"); (4) relationships between absorptive root traits and absorptive root processes ("trait_process.xlsx", "Data analysis.R"). This dataset provides biomass, turnover, and decomposition rates of absorptive roots across major forest types in the Northern Hemisphere. Original observations of absorptive root biomass, turnover, and decomposition rates were documented in "factors.xlsx", collected from publications via the ISI Web of Science, Google Scholar, and the China National Knowledge Infrastructure. The main codes of the study contain two parts: (1) decomposition curve optimized with the nonlinear least squares and the mean decomposition curve estimated by the maximum likelihood regression of absorptive root litters ("decomposition_rate_fitting.R") where two more scripts are used for curve fitting and plotting ("fun_scan_3par.R", "plot_func.R"). (2) statistics analysis of the datasets ("Data analysis.R") where one more script is used for the calculation (“analysis_func.R"). The users can run the two main R codes in the R environment of version 3.1.4. The results of decomposition curve fitting and samplings will be generated into two result folders: "result_decomposition" and "result_boot" separately. Please note that all the original data files and codes should be put in the same folder and the users need to set the workspace in the data folder first before running the codes.
DOI: 10.6084/m9.figshare.28812212.v1
title: Dynamic processes and the iterative effect of the finest roots on forest soil carbon accrual in the Northern Hemisphere

description: The dataset includes four parts: (1) decomposition records of each harvest from original observations and the fitting of decomposition rates and curves of the finest roots (i.e., absorptive roots) ("decomposition.origin.xlsx", "decomposition_ rate_fitting.R"); (2) the uncertainty analysis of standing biomass, turnover rate, and productivity of absorptive roots, as well as the iterative effects of absorptive root and leaf litters on soil carbon accural ("data.xlsx", "Data analysis.R"), which also includes the grouping of two mycorrhizal types (i.e., arbuscular mycorrhizal and ectomycorrhizal species) and in two biomes [ i.e., (sub)tropical, and temperate forests] ("data_group.xlsx", "Data analysis.R"); (3) the influence of biotic and abiotic factors on absorptive root dynamics ("factors.xlsx", "Data analysis.R"); (4) relationships between absorptive root traits and absorptive root processes ("trait_process.xlsx", "Data analysis.R"). This dataset provides biomass, turnover, and decomposition rates of absorptive roots across major forest types in the Northern Hemisphere. Original observations of absorptive root biomass, turnover, and decomposition rates were documented in "factors.xlsx", collected from publications via the ISI Web of Science, Google Scholar, and the China National Knowledge Infrastructure. The main codes of the study contain two parts: (1) decomposition curve optimized with the nonlinear least squares and the mean decomposition curve estimated by the maximum likelihood regression of absorptive root litters ("decomposition_rate_fitting.R") where two more scripts are used for curve fitting and plotting ("fun_scan_3par.R", "plot_func.R"). (2) statistics analysis of the datasets ("Data analysis.R") where one more script is used for the calculation (“analysis_func.R"). The users can run the two main R codes in the R environment of version 3.1.4. The results of decomposition curve fitting and samplings will be generated into two result folders: "result_decomposition" and "result_boot" separately. Please note that all the original data files and codes should be put in the same folder and the users need to set the workspace in the data folder first before running the codes.
DOI: 10.5281/zenodo.17189949
title: Digital Transformation in Banking with TOGAF Framework: Promoting Innovative Loan Disbursement System

description: Background:  Providing efficient loan disbursement system is an essential banking service. Indonesian customers are eager to pay higher interest rates in exchange with faster and innovative loan acquisition. For this reason, Indonesian central bank has mandated all banks to embrace digital transformation program with recent IT technology to provide innovative loan disbursement system to serve larger customers while still maintain healthy financial ratio.

Objective: Although digital transformation program in banking is essential. However, many banks do not have adequate framework to assist them in transforming loan disbursement system. Having an innovative and faster loan disbursement system are key advantages for banks to survive in competition. Nowadays, the bank industry is having fierce competition from Fintechs that provide more innovative and faster loan to reach larger customers. 

Methods: The article takes a case study of SMS bank that serves large SMEs and is affiliated with conglomerate business. The SMS bank management has embraced digital transformation initiative with TOGAF framework to integrate their loan disbursement system with its major business partners to create innovative business ecosystem. The article applies interviews, observation and Focus Group Discussion (FGD) with major key stakeholders to examine current problems and expectations.

Results: The TOGAF framework provides guidance to create innovative business ecosystem with third parties such as traditional and online retailers, post-offices, and so on that have close access to end customers. The use of TOGAF framework enables to address major hurdles in digital transformation especially related to important stakeholders such as: Population and Civil registry services (Dukcapil), Central bank and Financial Monetary Authority, Police and Immigration.

Conclusion: TOGAF framework provides systematic digital transformation process in integrating business ecosystem and promoting fast loan disbursement system through optimizing API service. With flexible API service, business partners can develop innovative busines and supported by banking service.
DOI: 10.5281/zenodo.17189950
title: Digital Transformation in Banking with TOGAF Framework: Promoting Innovative Loan Disbursement System

description: Background:  Providing efficient loan disbursement system is an essential banking service. Indonesian customers are eager to pay higher interest rates in exchange with faster and innovative loan acquisition. For this reason, Indonesian central bank has mandated all banks to embrace digital transformation program with recent IT technology to provide innovative loan disbursement system to serve larger customers while still maintain healthy financial ratio.

Objective: Although digital transformation program in banking is essential. However, many banks do not have adequate framework to assist them in transforming loan disbursement system. Having an innovative and faster loan disbursement system are key advantages for banks to survive in competition. Nowadays, the bank industry is having fierce competition from Fintechs that provide more innovative and faster loan to reach larger customers. 

Methods: The article takes a case study of SMS bank that serves large SMEs and is affiliated with conglomerate business. The SMS bank management has embraced digital transformation initiative with TOGAF framework to integrate their loan disbursement system with its major business partners to create innovative business ecosystem. The article applies interviews, observation and Focus Group Discussion (FGD) with major key stakeholders to examine current problems and expectations.

Results: The TOGAF framework provides guidance to create innovative business ecosystem with third parties such as traditional and online retailers, post-offices, and so on that have close access to end customers. The use of TOGAF framework enables to address major hurdles in digital transformation especially related to important stakeholders such as: Population and Civil registry services (Dukcapil), Central bank and Financial Monetary Authority, Police and Immigration.

Conclusion: TOGAF framework provides systematic digital transformation process in integrating business ecosystem and promoting fast loan disbursement system through optimizing API service. With flexible API service, business partners can develop innovative busines and supported by banking service.
DOI: 10.6084/m9.figshare.28683686
title: Discovery of functional NLRs using expression level, high-throughput transformation, and large-scale phenotyping

description: Source data for Brabham et al. (2024) bioRxiv that includes raw data, uncropped images, and scripts used for data analysis and figure preparation. https://doi.org/10.1101/2024.06.25.599845
DOI: 10.6084/m9.figshare.28683686.v1
title: Discovery of functional NLRs using expression level, high-throughput transformation, and large-scale phenotyping

description: Source data for Brabham et al. (2024) bioRxiv that includes raw data, uncropped images, and scripts used for data analysis and figure preparation. https://doi.org/10.1101/2024.06.25.599845
DOI: 10.15468/dl.4wqd4p
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.29892 17.74707,-88.93202 17.79489,-88.14132 18.99676,-87.98318 18.07954,-86.93945 17.41535,-86.4431 22.06004,-94.45447 22.64073,-98.06064 22.41681,-99.29892 17.74707))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centropomus undecimalis",
 "Year 2000-2025"
 ]
}

 The dataset includes 204 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011094-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neukwh
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lichens Flora of Nepal at National Herbarium and Plant Laboratories (KATH)"
 ]
}

 The dataset includes 1207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011095-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.