cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.3ed760
title: FAIRsharing record for: Genomics informatics — Reliability assessment criteria for high-throughput gene-expression data
title: ISO/TS 22690:2021

description: This FAIRsharing record describes:  This document specifies reliability assessment criteria for high-throughput gene-expression data. It is applicable to assessing the accuracy, reproducibility, and comparability of gene-expression data that are generated from microarray, next-generation sequencing, and other forms of high-throughput technologies.This document identifies the quality-related data for the process of the next-generation sequencing of RNA (RNA-seq). The sequencing platform covered by this document is limited to short-read sequencers. The use of RNA-seq for mutation detection and virus identification is outside of the scope of this document. This document is applicable to human health associated species such as human, cell lines, and preclinical animals. Other biological species are outside the scope of this document. From a biological point of view, expression profiles of all genetic sequences including genes, transcripts, isoforms, exons, and junctions are within the scope of this document
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/q0qfje
title: Monthly_rainfall_193501.tif
DOI: 10.25504/fairsharing.0fb812
title: FAIRsharing record for: Health informatics — Genomic Sequence Variation Markup Language (GSVML)
title: ISO 25720:2009

description: This FAIRsharing record describes:  ISO 25720:2009 is applicable to the data exchange format that is designed to facilitate the exchange of the genomic sequence variation data around the world, without forcing change of any database schema. From an informatics perspective, GSVML defines the data exchange format based on XML. The scope of ISO 25720:2009 is the data exchange format, but the database schema itself is outside the scope of this International Standard. From a biological point of view, all genetic sequence variations are taken into consideration and are within the scope of this International Standard, while polymorphisms, especially SNP, are the main focus of this International Standard. In other words, the annotations of variation as clinical concerns and -omics concerns are within the scope of ISO 25720:2009. Though SNPs exist in various biological species, the scope of this International Standard covers the human health associated species as human, cell line, and preclinical animals. The other biological species are outside the scope of ISO 25720:2009. The clinical field is within the scope of this International Standard, but the basic research fields and other scientific fields are outside the scope of ISO 25720:2009. Here, clinical research including drug discovery is within the scope of this International Standard. As for supposed application fields, our main focus is in human health including clinical practice, preventive medicine, translational research and clinical researches.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/5d7hqm
title: Monthly_rainfall_194508.tif
DOI: 10.25504/fairsharing.d631f3
title: FAIRsharing record for: University of Nebraska-Lincoln Data Repository
title: UNLDR

description: This FAIRsharing record describes:  The University of Nebraska-Lincoln Data Repository (UNLDR) is a data repository built in support of researchers at UNL. Hosted and curated by UNL Libraries, UNLDR is committed to preservation of and continued access to dataset resultant from research conducted at UNL.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.7483/opendata.cms.6elb.z6d4
title: /LQToBEle_M-3000_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/j3sdf9
title: Monthly_rainfall_194905.tif
DOI: 10.12763/azrdrm/jytuwz
title: Monthly_rainfall_194911.tif
DOI: 10.15468/dl.9ujthk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.35277 -10.25579,46.64723 -10.25579,46.64723 4.25579,10.35277 4.25579,10.35277 -10.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Labeobarbus leleupanus (Matthes, 1959)"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066692-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.8b3ce2
title: FAIRsharing record for: University of Tasmania Research Data Management Procedures
title: University of Tasmania RDM Procedures

description: This FAIRsharing record describes:  This procedure describes how research data is managed by the University, consistent with the Australian
Code for the Responsible Conduct of Research 2018 (the Code), other relevant legal instruments and
research guidance frameworks including the requirements for:
a) data management planning
b) record keeping
c) classification of data
d) storage
e) retention and long-term data preservation
f) sharing and reuse of research data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/sqbnfq
title: Monthly_rainfall_192409.tif
DOI: 10.25504/fairsharing.f62867
title: FAIRsharing record for: Cork Open Research Archive
title: CORA

description: This FAIRsharing record describes:  Cork Open Research Archive (CORA) is University College Cork’s Open Access institutional repository which enables UCC researchers to make their research outputs freely available and accessible.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/cok0sd
title: Monthly_rainfall_193702.tif
DOI: 10.12763/azrdrm/zfloby
title: Monthly_rainfall_193703.tif
DOI: 10.25504/fairsharing.ad6811
title: FAIRsharing record for: Dublin City University Code of Good Research Practice
title: null

description: This FAIRsharing record describes:  The purpose of this document is to provide guidance in relation to good research practice and the responsibilities and requirements associated with this. The Code provides guidelines and advice on the proper conduct of research, standards of work performance and the ethical conduct required of all DCU staff and students and persons engaged in research at DCU.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/zjgzay
title: Monthly_rainfall_192408.tif
DOI: 10.25504/fairsharing.ca4fea
title: FAIRsharing record for: Open Research Data Guidelines for Movement Laboratories
title: MoveD

description: This FAIRsharing record describes:  These guidelines are structured along the data life cycle. They aim to guide the staff of a movement laboratory when they want to share data publicly. These guidelines address all the necessary steps that have to be performed from planning a study up to the point where data can be published; they include ethical and legal considerations as well as data structuring processes. 

The legal framework regarding research with human beings differs in each country. As this guideline is intended to be directly applicable to Switzerland, only Swiss laws and regulations are presented. The content of these guidelines can, however, be adjusted to other countries by taking their legal framework into consideration. The user is free to do this. We do not, however, assume any responsibility regarding the interpretation of the legal text or templates for informed consent. The final decision lies with the local ethics committee.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.7483/opendata.cms.u2v7.kk7u
title: /LQToBEle_M-3000_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/jfjhpc
title: Monthly_rainfall_194910.tif
DOI: 10.12763/azrdrm/ripvgf
title: Monthly_rainfall_191101.tif
DOI: 10.15468/dl.z57sra
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Sorghum nitidum (Vahl) Pers.",
 "Year 1945-2025"
 ]
}

 The dataset includes 121 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066693-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.20f880
title: FAIRsharing record for: HUPO-PSI PROXI Schemas
title: null

description: This FAIRsharing record describes:  The HUPO-PSI Consortium defines community standards for data representation in proteomics to facilitate data comparision, exchange and verification. The Proteomics eXpression Interface is a suite of integrated APIs each targeting a different aspect of exchanging proteomics information between ProteomeXchange data partners and consumers.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.12763/azrdrm/oir1ww
title: Monthly_rainfall_194904.tif
DOI: 10.12763/azrdrm/avkxbu
title: Monthly_rainfall_190009.tif
DOI: 10.12763/azrdrm/d5xiif
title: Monthly_rainfall_194509.tif
DOI: 10.5517/ccdc.csd.cc2cngxf
title: CCDC 2194425: Experimental Crystal Structure Determination

description: Related Article: Xiaogang Wang, Chi Yang, Di Chen, Pu Chen, Yishou Wang, Baoyue Cao, Chengfang Qiao, Michal Szostak|2024|J.Org.Chem.|89|18291|doi:10.1021/acs.joc.4c02132
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7483/opendata.cms.rvom.w9pp
title: /LQToBEle_M-3000_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/lbevnl
title: Monthly_rainfall_191303.tif
DOI: 10.5517/ccdc.csd.cc2d37f6
title: CCDC 2207647: Experimental Crystal Structure Determination

description: Related Article: Sunil Kumar, Mukesh Choudhary|2023|New J.Chem.|47|2350|doi:10.1039/D2NJ05136B
description: Related Article: Krishna Kumar Mahto, Khursheed Ahmad|2024|Polyhedron|249|116755|doi:10.1016/j.poly.2023.116755
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fp5r2
title: CCDC 2254684: Experimental Crystal Structure Determination

description: Related Article: Wei Tian, Wen Zhong, Zengyan Yang, Ling Chen, Shijie Lin, Yanping Li, Yuxing Wang, Peilin Yang, Xing Long|2023|J.Inorg.Biochem.|251|112434|doi:10.1016/j.jinorgbio.2023.112434
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.12763/azrdrm/74sjgz
title: Monthly_rainfall_192811.tif
DOI: 10.12763/azrdrm/dqiis3
title: Monthly_rainfall_192805.tif
DOI: 10.5517/ccdc.csd.cc2fp5s3
title: CCDC 2254685: Experimental Crystal Structure Determination

description: Related Article: Wei Tian, Wen Zhong, Zengyan Yang, Ling Chen, Shijie Lin, Yanping Li, Yuxing Wang, Peilin Yang, Xing Long|2023|J.Inorg.Biochem.|251|112434|doi:10.1016/j.jinorgbio.2023.112434
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.12763/azrdrm/rxrpif
title: Monthly_rainfall_191505.tif
DOI: 10.7483/opendata.cms.lz2m.lv1b
title: /LQToBEle_M-3000_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/ilmc83
title: Monthly_rainfall_193312.tif
DOI: 10.12763/azrdrm/pjrmfu
title: Monthly_rainfall_193306.tif
DOI: 10.12763/azrdrm/vt0ii9
title: Monthly_rainfall_191511.tif
DOI: 10.12763/azrdrm/5mqffx
title: Monthly_rainfall_193110.tif
DOI: 10.12763/azrdrm/p51wyb
title: Monthly_rainfall_191707.tif
DOI: 10.7483/opendata.cms.t3lf.rfsz
title: /LQToBEle_M-300_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/ygggwh
title: Monthly_rainfall_193104.tif
DOI: 10.12763/azrdrm/5qyxqe
title: Monthly_rainfall_190409.tif
DOI: 10.12763/azrdrm/yladdb
title: Monthly_rainfall_191908.tif
DOI: 10.21227/pxe9-a956
title: NIPS 2017: Adversarial Learning Development Set (ImageNet-NIPS)

description: Most existing machine learning classifiers are highly vulnerable to adversarial examples. An adversarial example is a sample of input data which has been modified very slightly in a way that is intended to cause a machine learning classifier to misclassify it. In many cases, these modifications can be so subtle that a human observer does not even notice the modification at all, yet the classifier still makes a mistake.Adversarial examples pose security concerns because they could be used to perform an attack on machine learning systems, even if the adversary has no access to the underlying model.To accelerate research on adversarial examples, Google Brain is organizing Competition on Adversarial Examples and Defenses within the NIPS 2017 competition track. This dataset contains the development images for this competition.The competition on Adversarial Examples and Defenses consist of three sub-competitions:Non-targeted Adversarial Attack. The goal of the non-targeted attack is to slightly modify source image in a way that image will be classified incorrectly by generally unknown machine learning classifier.Targeted Adversarial Attack. The goal of the targeted attack is to slightly modify source image in a way that image will be classified as specified target class by generally unknown machine learning classifier.Defense Against Adversarial Attack. The goal of the defense is to build machine learning classifier which is robust to adversarial example, i.e. can classify adversarial images correctly.In each of the sub-competitions you're invited to make and submit a program which solves the corresponding task. In the end of the competition we will run all attacks against all defenses to evaluate how each of the attacks performs against each of the defenses.
DOI: 10.12763/azrdrm/q6f6vx
title: Monthly_rainfall_194109.tif
DOI: 10.7483/opendata.cms.0xii.nxko
title: /LQToBEle_M-300_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/aheqk8
title: Monthly_rainfall_190810.tif
DOI: 10.12763/azrdrm/mvl1f5
title: Monthly_rainfall_191703.tif
DOI: 10.12763/azrdrm/f7itzq
title: Monthly_rainfall_190804.tif
DOI: 10.12763/azrdrm/otyoht
title: Monthly_rainfall_192008.tif
DOI: 10.12763/azrdrm/ssqx89
title: Monthly_rainfall_193302.tif
DOI: 10.7483/opendata.cms.kkch.zaf2
title: /LQToBEle_M-300_single_coupling0p1_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.12763/azrdrm/azdcb6
title: Monthly_rainfall_191501.tif
DOI: 10.12763/azrdrm/9lus9b
title: Monthly_rainfall_192801.tif
DOI: 10.12763/azrdrm/dox6mo
title: Monthly_rainfall_191307.tif
DOI: 10.12763/azrdrm/w6gzgd
title: Monthly_rainfall_193510.tif
DOI: 10.12763/azrdrm/srv3q9
title: Monthly_rainfall_193504.tif
DOI: 10.7483/opendata.cms.yq9v.4tfl
title: /LQToBEle_M-300_single_coupling0p1_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/pg2lpi
title: Monthly_rainfall_193909.tif
DOI: 10.12763/azrdrm/lmpl5o
title: Monthly_rainfall_191105.tif
DOI: 10.12763/azrdrm/ximhy6
title: Monthly_rainfall_193712.tif
DOI: 10.12763/azrdrm/ciuadk
title: Monthly_rainfall_193706.tif
DOI: 10.7483/opendata.cms.q86r.du54
title: /LQToBEle_M-300_single_coupling0p3_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/1t6or9
title: Monthly_rainfall_191111.tif
DOI: 10.12763/azrdrm/zrztef
title: Monthly_rainfall_191110.tif
DOI: 10.12763/azrdrm/brhnur
title: Monthly_rainfall_193707.tif
DOI: 10.12763/azrdrm/lb2xjl
title: Monthly_rainfall_191104.tif
DOI: 10.12763/azrdrm/qwazbx
title: Monthly_rainfall_194901.tif
DOI: 10.7483/opendata.cms.60gj.ytxx
title: /LQToBEle_M-300_single_coupling0p3_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/9l6brp
title: Monthly_rainfall_193908.tif
DOI: 10.12763/azrdrm/byu2h8
title: Monthly_rainfall_191312.tif
DOI: 10.12763/azrdrm/nrztsf
title: Monthly_rainfall_193505.tif
DOI: 10.12763/azrdrm/dvmeyv
title: Monthly_rainfall_191306.tif
DOI: 10.7483/opendata.cms.xupr.3nkl
title: /LQToBEle_M-300_single_coupling0p5_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.12763/azrdrm/fd2qei
title: Monthly_rainfall_192009.tif
DOI: 10.12763/azrdrm/vjv6np
title: Monthly_rainfall_193511.tif
DOI: 10.12763/azrdrm/6flpjd
title: Monthly_rainfall_193303.tif
DOI: 10.15468/dl.v2ujej
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.85277 -12.75579,52.14723 -12.75579,52.14723 1.75579,15.85277 1.75579,15.85277 -12.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Labeobarbus macrolepis (Pfeffer, 1889)"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066694-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12763/azrdrm/pjvbjf
title: Monthly_rainfall_190805.tif
DOI: 10.12763/azrdrm/rrtx5b
title: Monthly_rainfall_190811.tif
DOI: 10.7483/opendata.cms.yzsx.ys3v
title: /LQToBEle_M-300_single_coupling0p5_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/zc3v7q
title: Monthly_rainfall_191702.tif
DOI: 10.12763/azrdrm/16iqfv
title: Monthly_rainfall_193101.tif
DOI: 10.12763/azrdrm/c9skkv
title: Monthly_rainfall_190408.tif
DOI: 10.12763/azrdrm/axiae2
title: Monthly_rainfall_194108.tif
DOI: 10.7483/opendata.cms.38lq.h2kt
title: /LQToBEle_M-300_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/3lzeub
title: Monthly_rainfall_193103.tif
DOI: 10.12763/azrdrm/dckhgs
title: Monthly_rainfall_192209.tif
DOI: 10.12763/azrdrm/5q9265
title: Monthly_rainfall_190807.tif
DOI: 10.12763/azrdrm/8ly7zx
title: Monthly_rainfall_190608.tif
DOI: 10.12763/azrdrm/myhlkb
title: Monthly_rainfall_191502.tif
DOI: 10.12763/azrdrm/3v1kcu
title: Monthly_rainfall_193301.tif
DOI: 10.7483/opendata.cms.pddz.rouo
title: /LQToBEle_M-300_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/0uak80
title: Monthly_rainfall_192802.tif
DOI: 10.12763/azrdrm/er88ql
title: Monthly_rainfall_194308.tif
DOI: 10.12763/azrdrm/q4wyby
title: Monthly_rainfall_191310.tif
DOI: 10.12763/azrdrm/kjq3pr
title: Monthly_rainfall_193507.tif
DOI: 10.12763/azrdrm/mya4ce
title: Monthly_rainfall_191304.tif
DOI: 10.7483/opendata.cms.qdk1.b94m
title: /LQToBEle_M-3500_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/p26jwb
title: Monthly_rainfall_194903.tif
DOI: 10.12763/azrdrm/4ahkad
title: Monthly_rainfall_193705.tif
DOI: 10.12763/azrdrm/8lhfnt
title: Monthly_rainfall_191112.tif
DOI: 10.12763/azrdrm/ojompn
title: Monthly_rainfall_191106.tif
DOI: 10.7483/opendata.cms.0heq.g5nd
title: /LQToBEle_M-3500_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/azrdrm/6ndlbl
title: Monthly_rainfall_193711.tif
DOI: 10.12763/azrdrm/0uavwv
title: Monthly_rainfall_193710.tif
DOI: 10.12763/azrdrm/8e3o0y
title: Monthly_rainfall_191107.tif
DOI: 10.12763/azrdrm/tm0jxl
title: Monthly_rainfall_193704.tif
DOI: 10.7483/opendata.cms.93lc.gj3e
title: /LQToBEle_M-3500_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/azrdrm/wgmxbb
title: Monthly_rainfall_194902.tif
DOI: 10.12763/azrdrm/lkunep
title: Monthly_rainfall_193512.tif
DOI: 10.12763/azrdrm/mldbnj
title: Monthly_rainfall_191305.tif
DOI: 10.15468/dl.7mv64h
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.35277 -13.75579,47.64723 -13.75579,47.64723 0.75579,11.35277 0.75579,11.35277 -13.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Labeobarbus tropidolepis (Boulenger, 1900)"
 ]
}

 The dataset includes 152 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066695-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12763/azrdrm/4gmwpf
title: Monthly_rainfall_193506.tif