cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13934870
title: EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING EMERGING RISKS: AN IN-DEPTH STUDY OF AI APPLICATIONS IN FINANCIAL INSTITUTIONS' RISK FRAMEWORKS

description: This research focuses on using approaches such as ML and ANNs in FRM while will look at and try to analyze their effectiveness compared to logistic regression, random forest, and support vector machine. Training and testing of the models were done using accuracy, precision, recall and F1-score with a sample database comprising of 15000 financial records. Imputation of missing values; selection of informative variables; and data scaling, were performed to enhance the reliability of the models used. Analysis of the results revealed that ANNs and more so DNNs surpassed conventional approaches in the prediction of financial risks. Still, the integration of traditional and AI-based approaches resulted in improved performance outcomes as well as proved to be more resilient to multiple risk factors. Thus, the work concludes that the enhancement of the integration of AI in the management of financial risk can enhance the accuracy of risk assessment. The future work should include improvements regarding the interpretability of the model, testing on a more substantial number of data and experimenting with reinforcement learning to apply it to decision making in the financial risk cases.
DOI: 10.5281/zenodo.13934871
title: EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING EMERGING RISKS: AN IN-DEPTH STUDY OF AI APPLICATIONS IN FINANCIAL INSTITUTIONS' RISK FRAMEWORKS

description: This research focuses on using approaches such as ML and ANNs in FRM while will look at and try to analyze their effectiveness compared to logistic regression, random forest, and support vector machine. Training and testing of the models were done using accuracy, precision, recall and F1-score with a sample database comprising of 15000 financial records. Imputation of missing values; selection of informative variables; and data scaling, were performed to enhance the reliability of the models used. Analysis of the results revealed that ANNs and more so DNNs surpassed conventional approaches in the prediction of financial risks. Still, the integration of traditional and AI-based approaches resulted in improved performance outcomes as well as proved to be more resilient to multiple risk factors. Thus, the work concludes that the enhancement of the integration of AI in the management of financial risk can enhance the accuracy of risk assessment. The future work should include improvements regarding the interpretability of the model, testing on a more substantial number of data and experimenting with reinforcement learning to apply it to decision making in the financial risk cases.
DOI: 10.57745/80rbnu
title: A3422010_HYDRO_QJM.txt
DOI: 10.57745/idfqni
title: A4020610_HYDRO_QJM.txt
DOI: 10.57745/hhdv2l
title: A8071010_HYDRO_QJM.txt
DOI: 10.57745/xsve4m
title: B0220010_HYDRO_QJM.txt
DOI: 10.57745/e9ks3m
title: A4142010_HYDRO_QJM.txt
DOI: 10.5281/zenodo.13936856
title: THE CLAIM OF A THOUSAND PAINS

description: ozonlashtirilgan yog‘, immunitet mustahkamligi, erta qarishga qarshi, antioksidant tizimni faolligi, B5 provitamini faolligi.
DOI: 10.5281/zenodo.13936857
title: THE CLAIM OF A THOUSAND PAINS

description: ozonlashtirilgan yog‘, immunitet mustahkamligi, erta qarishga qarshi, antioksidant tizimni faolligi, B5 provitamini faolligi.
DOI: 10.57745/sl9cng
title: B2220010_HYDRO_QJM.txt
DOI: 10.15468/dl.uzed8a
title: Occurrence Download

description: A dataset containing 82050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Sweden",
 "Geometry POLYGON((15.38258 66.3905,14.42412 66.28033,14.32832 65.13371,16.06932 63.99874,19.06063 63.30602,20.9971 63.4792,21.95747 64.58126,21.26475 64.97485,15.69147 66.50199,15.38258 66.3905))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 2000-2024"
 ]
}

 The dataset includes 82050 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015700-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt37s6
title: Occurrence Download

description: A dataset containing 50242 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Handroanthus ochraceus (Cham.) Mattos"
 ]
}

 The dataset includes 50242 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015697-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2fnbn
title: Occurrence Download

description: A dataset containing 114 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 Rhysotritia duplicata (Grandjean, 1953)",
 "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 114 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015705-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/v3ziud
title: A9001050_HYDRO_QJM.txt
DOI: 10.57745/xd2rvb
title: A4632010_HYDRO_QJM.txt
DOI: 10.57745/8rlv6z
title: A5422010_HYDRO_QJM.txt
DOI: 10.57745/lgemsp
title: B1092010_HYDRO_QJM.txt
DOI: 10.15468/dl.s366xc
title: Occurrence Download

description: A dataset containing 102282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.47237 35.92698,-4.28021 35.92698,-4.28021 37.15375,-6.47237 37.15375,-6.47237 35.92698))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 102282 records from 401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015687-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/y9dtkj
title: A5012010_HYDRO_QJM.txt
DOI: 10.57745/uazr9r
title: B5572010_HYDRO_QJM.txt
DOI: 10.15468/dl.tg3y24
title: Occurrence Download

description: A dataset containing 321 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 Microtritia minima (Berlese, 1904)",
 "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 321 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015706-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/m6xitv
title: A6541110_HYDRO_QJM.txt
DOI: 10.57745/luje2d
title: E5400310_HYDRO_QJM.txt
DOI: 10.57745/s0gp1e
title: A2122010_HYDRO_QJM.txt
DOI: 10.57745/dh3mwv
title: A6621210_HYDRO_QJM.txt
DOI: 10.57745/f8t8mt
title: A6921010_HYDRO_QJM.txt
DOI: 10.57745/owtykc
title: G2011010_HYDRO_QJM.txt
DOI: 10.5281/zenodo.13936860
title: Synergistic ROS reduction through co-inhibition of BRAF and p38 MAPK ameliorates senescence
DOI: 10.5281/zenodo.13936861
title: Synergistic ROS reduction through co-inhibition of BRAF and p38 MAPK ameliorates senescence
DOI: 10.5281/zenodo.13328718
title: Anderson Police Department Offender Demographics 2022-2023

description: This dataset contains demographic information on offenders alleged to commit violent and property crimes reported to the Anderson Police Department in Anderson, CA. The data includes information on the sex, race, and gender of offenders. It covers violent crimes such as assault and robbery, as well as property crimes such as burglary and theft. Charges are listed by the CJIS IBR Offense Codes, not by statute. 

The dataset was provided by the Anderson Police Department in response to our Public Records Act request and covers the time period from Jan 1, 2022 through Dec 31, 2023. The data is presented in Word format. Each row summarizes individual offenses. The demographic labels are grouped by column.
DOI: 10.5281/zenodo.13328719
title: Anderson Police Department Offender Demographics 2022-2023

description: This dataset contains demographic information on offenders alleged to commit violent and property crimes reported to the Anderson Police Department in Anderson, CA. The data includes information on the sex, race, and gender of offenders. It covers violent crimes such as assault and robbery, as well as property crimes such as burglary and theft. Charges are listed by the CJIS IBR Offense Codes, not by statute. 

The dataset was provided by the Anderson Police Department in response to our Public Records Act request and covers the time period from Jan 1, 2022 through Dec 31, 2023. The data is presented in Word format. Each row summarizes individual offenses. The demographic labels are grouped by column.
DOI: 10.57745/cb3ceb
title: H1051020_HYDRO_QJM.txt
DOI: 10.57745/asenf5
title: G7103010_HYDRO_QJM.txt
DOI: 10.57745/z65gqo
title: A6731220_HYDRO_QJM.txt
DOI: 10.57745/mnofu2
title: E5505720_HYDRO_QJM.txt
DOI: 10.57745/czkfpm
title: A8322010_HYDRO_QJM.txt
DOI: 10.57745/bypnzr
title: A3832010_HYDRO_QJM.txt
DOI: 10.57745/myeldu
title: A4200630_HYDRO_QJM.txt
DOI: 10.57745/clngjt
title: H2001020_HYDRO_QJM.txt
DOI: 10.57745/segsnz
title: H2073110_HYDRO_QJM.txt
DOI: 10.5281/zenodo.13934848
title: Dataset related to the manuscript entitled "Beneficial Impact of Inhaled 25(OH)-Vitamin D3 and 1,25(OH)2-Vitamin D3 on Pulmonary Response in the Murine Model of Hypersensitivity Pneumonitis"

description: The dataset contains the results presented in the manuscript entitled "Beneficial Impact of Inhaled 25(OH)-Vitamin D3 and 1,25(OH)2-Vitamin D3 on Pulmonary Response in the Murine Model of Hypersensitivity Pneumonitis" Int. J. Mol. Sci. 2024, 25(19), 10289.

Project title: "Assessment of the possibility of using vitamin D3 in the prevention and treatment of pulmonary fibrosis in the course of hypersensitivity pneumonitis - in vivo studies"

Founder: National Scientific Center, Poland

Project number: UMO-2020/38/E/NZ7/00366

Principal Investigator: Marta Kinga Lemieszek

Main investigators: Michał Chojnacki, Iwona Paśnik, Wiktoria Gawryś, Alicja Wilczyńska, Ilona Leśniowska, Jakub Anisiewicz

Place of project implementation: Department of Medical Biology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland
DOI: 10.5281/zenodo.13934849
title: Dataset related to the manuscript entitled "Beneficial Impact of Inhaled 25(OH)-Vitamin D3 and 1,25(OH)2-Vitamin D3 on Pulmonary Response in the Murine Model of Hypersensitivity Pneumonitis"

description: The dataset contains the results presented in the manuscript entitled "Beneficial Impact of Inhaled 25(OH)-Vitamin D3 and 1,25(OH)2-Vitamin D3 on Pulmonary Response in the Murine Model of Hypersensitivity Pneumonitis" Int. J. Mol. Sci. 2024, 25(19), 10289.

Project title: "Assessment of the possibility of using vitamin D3 in the prevention and treatment of pulmonary fibrosis in the course of hypersensitivity pneumonitis - in vivo studies"

Founder: National Scientific Center, Poland

Project number: UMO-2020/38/E/NZ7/00366

Principal Investigator: Marta Kinga Lemieszek

Main investigators: Michał Chojnacki, Iwona Paśnik, Wiktoria Gawryś, Alicja Wilczyńska, Ilona Leśniowska, Jakub Anisiewicz

Place of project implementation: Department of Medical Biology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland
DOI: 10.57745/zmwywn
title: A5500610_HYDRO_QJM.txt
DOI: 10.57745/mldddb
title: A8431010_HYDRO_QJM.txt
DOI: 10.57745/owuyja
title: A6953010_HYDRO_QJM.txt
DOI: 10.57745/1xrfpl
title: A7642010_HYDRO_QJM.txt
DOI: 10.57745/5cwwhk
title: H2083110_HYDRO_QJM.txt
DOI: 10.57745/ybmmjy
title: A6701210_HYDRO_QJM.txt
DOI: 10.57745/pqqblw
title: A5431010_HYDRO_QJM.txt
DOI: 10.57745/kgsupy
title: A9942010_HYDRO_QJM.txt
DOI: 10.57745/pp8nho
title: A9752010_HYDRO_QJM.txt
DOI: 10.57745/vhuiie
title: A7881010_HYDRO_QJM.txt
DOI: 10.57745/7fsequ
title: H3122010_HYDRO_QJM.txt
DOI: 10.57745/kbulsd
title: B5172010_HYDRO_QJM.txt
DOI: 10.57745/jot5x7
title: H2482010_HYDRO_QJM.txt
DOI: 10.57745/c2r0rx
title: H3122020_HYDRO_QJM.txt
DOI: 10.57745/nndca5
title: B3150020_HYDRO_QJM.txt
DOI: 10.57745/wv7rhl
title: A8500610_HYDRO_QJM.txt
DOI: 10.15468/dl.cv5pmv
title: Occurrence Download

description: A dataset containing 587264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "StateProvince is one of (Nuevo LEón, Nuevo León, Nuevo León (NL), Nuevo León State)",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 587264 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015688-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/c0ikis
title: H4232040_HYDRO_QJM.txt
DOI: 10.57745/cx6wp1
title: A7010610_HYDRO_QJM.txt
DOI: 10.15468/dl.p4fvxj
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Raoiella indica Hirst, 1924"
 ]
}

 The dataset includes 260 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015709-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3g96v
title: Occurrence Download

description: A dataset containing 214 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 Eniochthonius minutissimus (Berlese, 1903)",
 "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 214 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015707-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q496b
title: Occurrence Download

description: A dataset containing 974 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurodema cinereum Cope, 1878"
 ]
}

 The dataset includes 974 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015710-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/o6u3tp
title: H3613010_HYDRO_QJM.txt
DOI: 10.5281/zenodo.13328739
title: Anderson Police Department Victim Demographics 2022-2023

description: This dataset contains demographic information on victims of violent and property crimes reported to the Anderson Police Department in Anderson, CA. The data includes information on the sex and race of victims. It covers violent crimes such as assault and robbery, as well as property crimes such as burglary and theft.

Charges are listed by the CJIS IBR Offense Codes, not by statute.  The department did not have a report for the Victim age or race in 2023 due to changing report systems in May of 2023. The reports for 2022 contain only Victim Sex and Victim Race.

The dataset was provided by the Anderson Police Department in response to our Public Records Act request and covers the time period from Jan 1, 2022 through Dec 31, 2023. The data is presented in Word format. Each row summarizes individual offenses. The demographic labels are grouped by column.
DOI: 10.57745/cqe7fx
title: H5023010_HYDRO_QJM.txt
DOI: 10.5281/zenodo.13328740
title: Anderson Police Department Victim Demographics 2022-2023

description: This dataset contains demographic information on victims of violent and property crimes reported to the Anderson Police Department in Anderson, CA. The data includes information on the sex and race of victims. It covers violent crimes such as assault and robbery, as well as property crimes such as burglary and theft.

Charges are listed by the CJIS IBR Offense Codes, not by statute.  The department did not have a report for the Victim age or race in 2023 due to changing report systems in May of 2023. The reports for 2022 contain only Victim Sex and Victim Race.

The dataset was provided by the Anderson Police Department in response to our Public Records Act request and covers the time period from Jan 1, 2022 through Dec 31, 2023. The data is presented in Word format. Each row summarizes individual offenses. The demographic labels are grouped by column.
DOI: 10.57745/e3xpeb
title: A7821010_HYDRO_QJM.txt
DOI: 10.15468/dl.3g2vkq
title: Occurrence Download

description: A dataset containing 54160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 54160 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015711-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/tjh64d
title: H5062010_HYDRO_QJM.txt
DOI: 10.57745/snd8la
title: E5300210_HYDRO_QJM.txt
DOI: 10.57745/gbiarc
title: A9402110_HYDRO_QJM.txt
DOI: 10.57745/vqfeyz
title: E6406010_HYDRO_QJM.txt
DOI: 10.57745/4wgguo
title: H5083050_HYDRO_QJM.txt
DOI: 10.57745/kvgpgr
title: H5122340_HYDRO_QJM.txt
DOI: 10.57745/ychrcj
title: A9132050_HYDRO_QJM.txt
DOI: 10.57745/wqy7ay
title: G1003010_HYDRO_QJM.txt
DOI: 10.57745/xcrheo
title: A9832010_HYDRO_QJM.txt
DOI: 10.57745/wmcoxe
title: H5224310_HYDRO_QJM.txt
DOI: 10.57745/xqxbsn
title: H5173110_HYDRO_QJM.txt
DOI: 10.57745/0oxno5
title: H6053010_HYDRO_QJM.txt
DOI: 10.57745/wmtoks
title: B5322010_HYDRO_QJM.txt
DOI: 10.57745/bqbehp
title: E4306010_HYDRO_QJM.txt
DOI: 10.34740/kaggle/dsv/9634231
title: Parkinson's Disease
DOI: 10.57745/i6p70k
title: H0301010_HYDRO_QJM.txt
DOI: 10.57745/ctdxtw
title: H5412010_HYDRO_QJM.txt
DOI: 10.57745/c3jhmp
title: H0100020_HYDRO_QJM.txt
DOI: 10.57745/4c9dp7
title: H2442340_HYDRO_QJM.txt
DOI: 10.57745/hporcp
title: H2452020_HYDRO_QJM.txt
DOI: 10.57745/0hcwo6
title: E5205710_HYDRO_QJM.txt
DOI: 10.57745/u4cgpj
title: D0206010_HYDRO_QJM.txt
DOI: 10.5519/qd.cprkhwhn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5926936 records)
DOI: 10.25550/6g-711a
title: SXG3 Testing Project

description: This is a project for members of the SXG3 group to conduct testing on the FaceBase system.
The project will remain unreleased
DOI: 10.57745/zzosrz
title: E6397010_HYDRO_QJM.txt
DOI: 10.57745/rppqbc
title: H2062010_HYDRO_QJM.txt
DOI: 10.57745/pnbrlt
title: H4202020_HYDRO_QJM.txt
DOI: 10.57745/uuv05h
title: E6456510_HYDRO_QJM.txt
DOI: 10.57745/7xzzjz
title: H5033310_HYDRO_QJM.txt
DOI: 10.6084/m9.figshare.27236412.v1
title: BDC 332 Assignment 4, Matric Dataset, Before and After, for an area close to Driftsands Nature Reserve.

description: An excel spreadsheet with the before and after landscape matrices
DOI: 10.57745/3xwf6h
title: G6003010_HYDRO_QJM.txt
DOI: 10.57745/us8qb8
title: H7611012_HYDRO_QJM.txt
DOI: 10.57745/pc5red
title: H7413210_HYDRO_QJM.txt
DOI: 10.57745/wnfu7i
title: H3102010_HYDRO_QJM.txt
DOI: 10.57745/ch7iam
title: H0100010_HYDRO_QJM.txt
DOI: 10.15468/dl.uhehr7
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "Geometry POLYGON((-138.43868 53.66129,-57.11806 53.66129,-57.11806 76.23526,-138.43868 76.23526,-138.43868 53.66129))",
 "HasGeospatialIssue is false",
 "TaxonKey is Alnus Mill."
 ]
}

 The dataset includes 595 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015714-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/muk1sb
title: H5172010_HYDRO_QJM.txt
DOI: 10.57745/ychmsx
title: H7742010_HYDRO_QJM.txt
DOI: 10.57745/wbxjmx
title: H0321030_HYDRO_QJM.txt
DOI: 10.15468/dl.zxhrvj
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurodema guayapae Barrio, 1964"
 ]
}

 The dataset includes 69 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015719-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.heutek
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotaenia dogieli (Gynezynskaja, 1944)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015722-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcznp2
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "StateProvince is Maranhão",
 "TaxonKey is Capparaceae"
 ]
}

 The dataset includes 218 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015718-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8j2k96
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidion lepidion (Risso, 1810)"
 ]
}

 The dataset includes 334 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015717-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v45v8u
title: Occurrence Download

description: A dataset containing 486 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 Hypochthonius rufulus Koch, 1835",
 "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 486 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015715-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/gqorax
title: H7401010_HYDRO_QJM.txt
DOI: 10.57745/omybnn
title: H7914120_HYDRO_QJM.txt