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

description: A dataset containing 3590 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adansonia digitata L."
 ]
}

 The dataset includes 3590 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015881-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhisbc
title: Occurrence Download

description: A dataset containing 40747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Myiopsitta monachus (Boddaert, 1783)"
 ]
}

 The dataset includes 40747 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000552-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i9zubv
title: Occurrence Download

description: A dataset containing 6134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogona vitticeps (Ahl, 1926)"
 ]
}

 The dataset includes 6134 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002426-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive6970.20241212.9.2
title: Methanobrevibacter curvatus Leadbetter and Breznak 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6971.20241212.9.2
title: Methanobrevibacter cuticularis Leadbetter and Breznak 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6972.20241212.9.2
title: Methanobrevibacter filiformis Leadbetter et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6973.20241212.9.2
title: Methanobrevibacter gottschalkii Miller and Lin 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6974.20241212.9.2
title: Methanobrevibacter thaueri Miller and Lin 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6975.20241212.9.2
title: Methanobrevibacter woesei Miller and Lin 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6977.20241212.9.2
title: Methanobrevibacter olleyae Rea et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6978.20241212.9.2
title: Methanobrevibacter millerae Rea et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6979.20241212.9.2
title: Methanosphaera cuniculi Biavati et al. 1990

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6980.20241212.9.2
title: Methanosphaera stadtmanae Miller and Wolin 1985

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6981.20241212.9.2
title: Methanocaldococcus jannaschii (Jones et al. 1984) Whitman 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6982.20241212.9.2
title: Methanocaldococcus infernus (Jeanthon et al. 1998) Whitman 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6983.20241212.9.2
title: Methanocaldococcus vulcanius (Jeanthon et al. 1999) Whitman 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6984.20241212.9.2
title: Methanocaldococcus fervens (Jeanthon et al. 1999) Whitman 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6986.20241212.9.2
title: Methanocaldococcus villosus Bellack et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6988.20241212.9.2
title: Methanotorris formicicus Takai et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6989.20241212.9.2
title: Methanococcus maripaludis Jones et al. 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6990.20241212.9.2
title: Methanococcus maripaludis Jones et al. 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6991.20241212.9.2
title: Methanococcus maripaludis Jones et al. 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6993.20241212.9.2
title: Methanococcus vannielii Stadtman and Barker 1951

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6994.20241212.9.2
title: Methanococcus voltae Balch and Wolfe 1981 emend. Ward et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6998.20241212.9.2
title: Methanococcus voltae Balch and Wolfe 1981 emend. Ward et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6999.20241212.9.2
title: Methanococcus voltae Balch and Wolfe 1981 emend. Ward et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7001.20241212.9.2
title: Methanococcus aeolicus Kendall et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7002.20241212.9.2
title: Methanothermococcus thermolithotrophicus (Huber et al. 1984) Whitman 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7003.20241212.9.2
title: Methanothermococcus okinawensis Takai et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7004.20241212.9.2
title: Methanocorpusculum bavaricum Zellner et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7005.20241212.9.2
title: Methanocorpusculum labreanum Zhao et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7009.20241212.9.2
title: Methanofollis tationis (Zabel et al. 1986) Zellner et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.mw65cg
title: Occurrence Download

description: A dataset containing 9396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb.",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 9396 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000679-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25904/1912/4432
title: Climate change mitigation and improvement of water quality from the restoration of a subtropical coastal wetland [Dataset]

description: Coastal wetland restoration is an important activity to achieve greenhouse gas (GHG) reduction targets, improve water quality, and reach the Sustainable Development Goals. However, there are still many uncertainties on achieving, measuring, and reporting success from coastal wetland restoration. We measured levels of carbon (C) abatement and nitrogen (N) removal potential of restored coastal wetlands in subtropical Queensland. The site was originally a supratidal forest comprised of Melaleuca spp. that was cleared and drained in the 1990s for sugarcane production. In 2010, tidal inundation was reinstated, and a mosaic of coastal vegetation (saltmarsh, mangroves, and supratidal forests) emerged. We measured soil GHG fluxes (CH4, N2O, CO2) and sequestration of organic C in the trees and soil to estimate the net C abatement associated with the reference, converted, and restored sites. To assess the influence of restoration on water quality improvement, we measured denitrification and soil N accumulation. We calculated C abatement of 18.5 Mg CO2-eq ha-1 y-1 when sugarcane land transitioned to supratidal forests, 11.0 Mg CO2-eq ha-1 y-1 when transitioned to mangroves and 6.2 Mg CO2-eq ha-1 y-1 when transitioned to saltmarsh. The C abatement was due to tree growth, soil accumulation, and reduced N2O emissions due to the cessation of fertilisation. Carbon abatement was still positive, even accounting for CH4 emissions, which increased in the wetlands due to flooding and N2O production due to enhanced levels of denitrification. Coastal wetland restoration in this subtropical setting effectively reduces CO2 emissions while providing additional co-benefits, notably water quality improvement.
DOI: 10.15468/dl.jfd25u
title: Occurrence Download

description: A dataset containing 22637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-200.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acalypha L."
 ]
}

 The dataset includes 22637 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000680-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ffsgj
title: Occurrence Download

description: A dataset containing 2982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen, Occurrence evidence)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana catesbeiana Shaw, 1802",
 "Year 1999-2025"
 ]
}

 The dataset includes 2982 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000681-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jfkfbw3gzh.1
title: Bangalabarta : A Spam / Smishing SMS Dataset Bangla

description: Description:

BanglaBarta is a robust and diverse dataset designed for the detection and classification of spam and smishing (phishing via SMS) messages in Bangla. It contains a total of 2772 SMS messages categorized into three distinct classes: Smishing, Promotional, and Normal SMS. The dataset represents a wide range of text types encountered in Bangla short message services (SMS) across various telecommunication networks, including prominent Bangladeshi telecom operators such as Grameenphone, Banglalink, and Robi, among others.

This dataset has been carefully curated to offer a representative sample of common SMS messages exchanged among users in Bangladesh, making it particularly useful for training and evaluating machine learning models aimed at spam and smishing detection. The Smishing class contains messages designed to deceive users into revealing sensitive information, while the Promotional class includes marketing messages from various businesses. The Normal SMS class represents everyday communication between users that are not intended to be malicious or promotional.

Key Features:
Total messages: 2772
Classes: Smishing, Promotional, Normal SMS
Languages: Bangla (Bengali)
Telecom Networks Covered: Grameenphone, Banglalink, Robi, and other major telecom services
Use Cases: Spam detection, smishing identification, language-based classification models
Format: The dataset is available in a structured format (e.g., CSV, JSON) with clear labeling for each message type.
Potential Applications:
Spam Detection: Identifying unwanted marketing messages from legitimate user communications.
Smishing Detection: Classifying fraudulent SMS attempting to steal personal or financial information.
Language Processing: Facilitating the development of Bangla language models for text classification.
Telecom Security: Enhancing telecom service providers' ability to identify and block malicious SMS traffic.
This dataset is ideal for researchers and practitioners working on Bangla language processing, telecom security, and natural language processing (NLP), particularly in contexts where identifying harmful SMS is crucial for ensuring user safety and maintaining secure mobile communication networks.
DOI: 10.17632/jfkfbw3gzh.2
title: Bangalabarta : A Spam / Smishing SMS Dataset Bangla

description: Description:

BangalaBarta is a robust and diverse dataset designed for the detection and classification of spam and smishing (phishing via SMS) messages in Bangla. It contains a total of 2772 SMS messages categorized into three distinct classes: Smishing, Promotional, and Normal SMS. The dataset represents a wide range of text types encountered in Bangla short message services (SMS) across various telecommunication networks, including prominent Bangladeshi telecom operators such as Grameenphone, Banglalink, and Robi, among others.

This dataset has been carefully curated to offer a representative sample of common SMS messages exchanged among users in Bangladesh, making it particularly useful for training and evaluating machine learning models aimed at spam and smishing detection. The Smishing class contains messages designed to deceive users into revealing sensitive information, while the Promotional class includes marketing messages from various businesses. The Normal SMS class represents everyday communication between users that are not intended to be malicious or promotional.

Key Features:
Total messages: 2772
Classes: Smishing, Promotional, Normal SMS
Languages: Bangla (Bengali)
Telecom Networks Covered: Grameenphone, Banglalink, Robi, and other major telecom services
Use Cases: Spam detection, smishing identification, language-based classification models
Format: The dataset is available in a structured format (e.g., CSV, JSON) with clear labeling for each message type.
Potential Applications:
Spam Detection: Identifying unwanted marketing messages from legitimate user communications.
Smishing Detection: Classifying fraudulent SMS attempting to steal personal or financial information.
Language Processing: Facilitating the development of Bangla language models for text classification.
Telecom Security: Enhancing telecom service providers' ability to identify and block malicious SMS traffic.
This dataset is ideal for researchers and practitioners working on Bangla language processing, telecom security, and natural language processing (NLP), particularly in contexts where identifying harmful SMS is crucial for ensuring user safety and maintaining secure mobile communication networks.
DOI: 10.15468/dl.acryrp
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "TaxonKey is Ophraella communa LeSage, 1986"
 ]
}

 The dataset includes 507 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000682-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edbq49
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marisora brachypoda (Taylor, 1956)"
 ]
}

 The dataset includes 628 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000683-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14606922
title: DoubleMuon primary dataset from RunH of 2016 | Selected features from validated luminosity runs | Awkward array format

description: This is the analysis dataset used in the paper "Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data".

This dataset is a distillation of the CMS Open Dataset DoubleMuon primary dataset in NANOAOD format from RunH of 2016. It contains $pp$ collisions at $\sqrt{s}$ = 13 GeV coming from validated luminosity runs, corresponding to 8.7 fb$^{-1}$ of integrated luminosity.

Individual data files are pickled dictionaries and should be read in using the $\texttt{pickle}$ python package. The values are $\texttt{awkward}$ arrays. The keys correspond to a selection of muon and jet variables.

Muon variables: `Muon_pt`, `Muon_eta`, `Muon_phi`, `Muon_charge`, `Muon_pfRelIso03_all`, `Muon_pfRelIso04_all`, `Muon_tightId`, `Muon_jetIdx`, `Muon_ip3d`, `Muon_jetRelIso`, `Muon_dxy`, `Muon_dz`

Jet variables: `Jet_pt`, `Jet_eta`, `Jet_phi`, `Jet_mass`, `Jet_nConstituents`, `Jet_btagCSVV2`, `Jet_btagDeepB`, `Jet_btagDeepFlavB`, `MET_pt`, `MET_sumEt`, `PV_npvsGood`, `Jet_nMuons`, `Jet_qgl`, `Jet_muEF`, `Jet_chHEF`, `Jet_chEmEF`, `Jet_neEmEF`, `Jet_neHEF`

In addition, we store the triggering information for all 40 triggers listed on the Open Data record page.

The events are split into (28*2) files -- for both muon and jet observables, there are 28 pickled dictionaries corresponding to the 28 ROOT files in the corresponding CMS Open Data record.

All scripts used to process this data are available at this repository. Please refer to the accompanying paper for more details on the analysis.
DOI: 10.5281/zenodo.14606923
title: Trial dataset for Dimuon project
DOI: 10.5281/zenodo.14618719
title: DoubleMuon primary dataset from RunH of 2016 | Selected features from validated luminosity runs | Awkward array format

description: This is the analysis dataset used in the paper "Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data".

This dataset is a distillation of the CMS Open Dataset DoubleMuon primary dataset in NANOAOD format from RunH of 2016. It contains $pp$ collisions at $\sqrt{s}$ = 13 GeV coming from validated luminosity runs, corresponding to 8.7 fb$^{-1}$ of integrated luminosity.

Individual data files are pickled dictionaries and should be read in using the $\texttt{pickle}$ python package. The values are $\texttt{awkward}$ arrays. The keys correspond to a selection of muon and jet variables.

Muon variables: `Muon_pt`, `Muon_eta`, `Muon_phi`, `Muon_charge`, `Muon_pfRelIso03_all`, `Muon_pfRelIso04_all`, `Muon_tightId`, `Muon_jetIdx`, `Muon_ip3d`, `Muon_jetRelIso`, `Muon_dxy`, `Muon_dz`

Jet variables: `Jet_pt`, `Jet_eta`, `Jet_phi`, `Jet_mass`, `Jet_nConstituents`, `Jet_btagCSVV2`, `Jet_btagDeepB`, `Jet_btagDeepFlavB`, `MET_pt`, `MET_sumEt`, `PV_npvsGood`, `Jet_nMuons`, `Jet_qgl`, `Jet_muEF`, `Jet_chHEF`, `Jet_chEmEF`, `Jet_neEmEF`, `Jet_neHEF`

In addition, we store the triggering information for all 40 triggers listed on the Open Data record page.

The events are split into (28*2) files -- for both muon and jet observables, there are 28 pickled dictionaries corresponding to the 28 ROOT files in the corresponding CMS Open Data record.

All scripts used to process this data are available at this repository. Please refer to the accompanying paper for more details on the analysis.
DOI: 10.5281/zenodo.13941912
title: Danos e prejuizos por desastres na Bacia do Rio Paraíba do Sul 2003-2022

description: Database created with disaster records from the S2iD system of Brazil. It contains data on identification, frequency of events, human and material damage, private and public losses. 

This research was carried out within the scope of the Project “Organizational Capabilities for Preparation for Extreme Events (COPE)”, which is supported by Fapesp (Process 22/02891-9).
DOI: 10.5281/zenodo.13941913
title: Danos e prejuizos por desastres na Bacia do Rio Paraíba do Sul 2003-2022

description: Database created with disaster records from the S2iD system of Brazil. It contains data on identification, frequency of events, human and material damage, private and public losses. 

This research was carried out within the scope of the Project “Organizational Capabilities for Preparation for Extreme Events (COPE)”, which is supported by Fapesp (Process 22/02891-9).
DOI: 10.17632/8dz3kgxmfk.1
title: Multilingual Sarcasm Detection(Bengali,English and Banglish)

description: The dataset contains 54,000 data,where 18,000 Bangla datasets, 18,000 English datasets and 18,000 Bangla datasets.
DOI: 10.17632/8dz3kgxmfk.2
title: Horror

description: Mysterious
DOI: 10.17632/6ffpv8hb7y.1
title: Cupo laboral de personas con discapacidad en el Ejecutivo de la Ciudad Autónoma de Buenos Aires

description: Cupo laboral de personas con discapacidad en el Ejecutivo de la Ciudad Autónoma de Buenos Aires
DOI: 10.15468/dl.8usg24
title: Occurrence Download

description: A dataset containing 262381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zea mays L."
 ]
}

 The dataset includes 262381 records from 931 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000672-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.