cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/b7dhbk/mknnt3
title: Permits.Ecometrics.CBG.2019.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/ssn8dz
title: Permits.Ecometrics.CT.Longitudinal.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/4xejlo
title: Permits.Ecometrics.CT.2015.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/axpfz1
title: Permits.Ecometrics.LP.SH.2020.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/bsnylq
title: Permits.Ecometrics.CBG.2010.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/e5itvt
title: Permits.Ecometrics.LP.SH.2014.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/ribvsx
title: Permits.Ecometrics.CT.2010.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/cc1hhp
title: Permits.Ecometrics.CT.2012.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/e5noyt
title: Permits.Ecometrics.CBG.2020.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/kiphcl
title: Permits.Ecometrics.CT.2011.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/qzih9e
title: Permits.Ecometrics.CT.2013.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/uynw8c
title: Permits.Ecometrics.CBG.2013.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/uzxarx
title: Permits.Ecometrics.LP.SH.2011.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/1mrat6
title: Permits.Ecometrics.CBG.2016.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/93rhbw
title: Permits.Ecometrics.CT.2017.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/kzsqrp
title: Permits.Ecometrics.LP.SH.2010.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/qifck1
title: Permits.Ecometrics.LP.SH.2015.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/ssdygh
title: Permits.Ecometrics.CT.2016.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/jkdivw
title: Permits.Ecometrics.CT.Longitudinal.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/ppo2hy
title: Permits.Ecometrics.CBG.2020.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/spyjer
title: Permits.Ecometrics.LP.SH.2013.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/tr6jar
title: Permits.Ecometrics.CBG.2014.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/uebkwq
title: Permits.Records.Geocoded.20190805.csv

description: :unav
DOI: 10.7910/dvn/b7dhbk/wyuksp
title: Permits.Ecometrics.CT.2018.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/7awi6k
title: Permits.Ecometrics.LP.SH.2018.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/h3cuvw
title: Permits.Ecometrics.CBG.2013.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/t2ebei
title: Permits.Ecometrics.CBG.Longitudinal.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/xl58rf
title: Permits.Ecometrics.CBG.2012.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/zvbsbg
title: Permits.Ecometrics.CT.2010.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/dx6ous
title: Permits.Ecometrics.CBG.2019.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/fhkmy5
title: Permits.Ecometrics.CBG.2015.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/rml5wx
title: Permits.Ecometrics.CT.2014.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/rnovlv
title: Permits.Ecometrics.CBG.2018.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/u0x0c2
title: Permits.Ecometrics.CT.2020.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/aqu3bg
title: Permits.Ecometrics.CBG.2015.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/cjaest
title: Permits.Ecometrics.CT.2020.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/fw9d3d
title: Permits.Ecometrics.CBG.2012.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/rngszu
title: Permits.Ecometrics.CT.2015.zip

description: :unav
DOI: 10.7910/dvn/b7dhbk/tluzmf
title: Permits.Ecometrics.LP.SH.2017.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/yop69c
title: Permits.Ecometrics.CBG.Longitudinal.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/31zk43
title: Permits.Ecometrics.CBG.2016.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/b1f5qv
title: Permits.Ecometrics.LP.SH.Longitudinal.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/ls09hi
title: Permits.Records.Geocoded.2020.csv

description: :unav
DOI: 10.7910/dvn/b7dhbk/nrqagr
title: Permits.Ecometrics.LP.SH.2019.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/qoidvm
title: Permits.Ecometrics.CBG.2011.tab

description: :unav
DOI: 10.7910/dvn/b7dhbk/riisqv
title: Building Permits Documentation - 2020.pdf

description: :unav
DOI: 10.15468/dl.ca7k47
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 3446 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042729-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmxp3x
title: Occurrence Download

description: A dataset containing 33734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 33734 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042728-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26406418
title: Household fuel use and adverse pregnancy outcomes

description: This prospective follow up was conducted in Eastern Ethiopia with the aim detecting adverse pregnancy outcomes to improve maternal and child health. The data contained maternal sociodemographic characteristics, maternal obstetrics and health conditions during pregnancy and child birth information as well as child related data.
DOI: 10.15468/dl.fwy5s7
title: Occurrence Download

description: A dataset listing the 2390 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Greenland",
 "Geometry POLYGON((-51.747 66.856,-49.858 66.856,-49.858 67.115,-51.747 67.115,-51.747 66.856))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 2390 records were derived from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042727-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12521588
title: South American monsoon intensification during the last millennium driven by joint Pacific and Atlantic forcing

description: This archive contains the climate reconstruction of South American summer monsoon over 850–1850 CE at 5-year resolution by combining the isotope-enabled Community Earth System Model with isotopic proxy records through data assimilation. For a complete description of the experimental design, see the associated publication. Each NetCDF file corresponds to one variable. For each variable, along with the reconstruction, an estimation of the uncertainty is provided. All fields are anomalies relative to the 850–1850 CE period.
DOI: 10.5281/zenodo.12521589
title: South American monsoon intensification during the last millennium driven by joint Pacific and Atlantic forcing

description: This archive contains the climate reconstruction of South American summer monsoon over 850–1850 CE at 5-year resolution by combining the isotope-enabled Community Earth System Model with isotopic proxy records through data assimilation. For a complete description of the experimental design, see the associated publication. Each NetCDF file corresponds to one variable. For each variable, along with the reconstruction, an estimation of the uncertainty is provided. All fields are anomalies relative to the 850–1850 CE period.
DOI: 10.5281/zenodo.12521927
title: South American monsoon intensification during the last millennium driven by joint Pacific and Atlantic forcing

description: This archive contains the climate reconstruction of South American summer monsoon over 850–1850 CE at 5-year resolution by combining the isotope-enabled Community Earth System Model with isotopic proxy records through data assimilation. For a complete description of the experimental design, see the associated publication. Each NetCDF file corresponds to one variable. For each variable, along with the reconstruction, an estimation of the uncertainty is provided. All fields are anomalies relative to the 850–1850 CE period.
DOI: 10.15468/dl.ffqkg3
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aspilia africana (Pers.) C.D.Adams"
 ]
}

 The dataset includes 648 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042731-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v4csf
title: Occurrence Download

description: A dataset containing 57134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limidae"
 ]
}

 The dataset includes 57134 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042730-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auhzje
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 3446 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042733-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr3yrb
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 3446 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042732-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57687/fk2/wvspgz
title: LATAM-DDoS-IoT Dataset

description: Anomaly detection is a well-known topic in cybersecurity. Its application to the Internet of Things can lead to suitable protection techniques against problems such as denial of service attacks. However, Intrusion Detection Systems based on Artificial Intelligence, as a defense mechanism, need robust data sources to achieve strong generalization levels from the knowledge domain of interest. Therefore, here we present the LATAM-DDoS-IoT dataset, which results from a collaboration among Aligo, Universidad de Antioquia, and Tecnologico de Monterrey. The LATAM-DDoS-IoT dataset includes attack traffic to physical Internet of Things devices and normal traffic from real external users consuming actual services from Aligo's production network.
DOI: 10.57687/fk2/wvspgz/kkp1yp
title: ddos_balanced.tab

description: The balanced version of the DDoS experiment
DOI: 10.57687/fk2/wvspgz/nawslt
title: normal.tab

description: Normal traffic
DOI: 10.57687/fk2/wvspgz/sjmdh9
title: dos_balanced.tab

description: The balanced version of the DoS experiment
DOI: 10.5281/zenodo.12749890
title: Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis

description: Data supporting results published by Ricci et al. Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis. Cell Death and Disease (2023) 14:403 (https://doi.org/10.1038/s41419-023-05927-5).
DOI: 10.5281/zenodo.12749891
title: Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis

description: Data supporting results published by Ricci et al. Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis. Cell Death and Disease (2023) 14:403 (https://doi.org/10.1038/s41419-023-05927-5).
DOI: 10.15468/dl.5w4s86
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophiophagus hannah (Cantor, 1836)"
 ]
}

 The dataset includes 505 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042736-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak83j7
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophiophagus hannah (Cantor, 1836)"
 ]
}

 The dataset includes 505 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042735-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12783711
title: GR2018 OBIETTIVO SPECIFICO 3
DOI: 10.5281/zenodo.12783712
title: GR2018 OBIETTIVO SPECIFICO 3
DOI: 10.15468/dl.6n5w22
title: Occurrence Download

description: A dataset containing 4497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchophorus ferrugineus (A.G.Olivier, 1791)"
 ]
}

 The dataset includes 4497 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042737-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yufz2
title: Occurrence Download

description: A dataset listing the 241 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata"
 ]
}

 The dataset's 241 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042734-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7294/26227082
title: Arthropod diversity in shallow subterranean habitats of the Appalachian Mountains, morphospecies images, Part I

description: Subterranean arthropods are important components of soils and contribute essential food-web functions and other ecosystem services, however, their diversity and community composition has scarcely been assessed. Subterranean pitfall traps are a commonly used method for sampling soil habitats in Europe but have never been widely implemented in the Americas. We used subterranean pitfall traps to sample previously unsurveyed arthropod communities in southwestern Virginia, U.S. Traps were placed in shallow subterranean habitats (SSHs), underground habitats close to the surface where light does not penetrate, and more specifically at the interface between the soil and underlying milieu souterrain superficiel—a microhabitat consisting of the air-filled interstitial spaces between rocks (abbreviated MSS). In total, 2,260 arthropod specimens were collected constituting 345 morphospecies from 8 classes, 33 orders, and 94 families. A region of the mitochondrial cytochrome c oxidase subunit I (COI) gene was amplified and sequenced, and objective sequence clustering of 3% was used to establish molecular operational taxonomic units (mOTUs) to infer observed species richness. In all, 272 COI barcodes representing 256 mOTUs were documented for rare soil-dwelling arthropod taxa and are published to build a molecular library for future research in this system. This work is the first taxonomically extensive survey of North American soil-dwelling arthropods greater than 10 cm below the soil surface.
DOI: 10.25934/pr00010335
title: Data Challenge - Association between Global Migration Patterns and Antimicrobial Resistance: Trend Analysis from 2004 to 2022

description: The planned study aims to investigate the evolving patterns of antimicrobial resistance (AMR) in connection with human migration, travel, and forced displacement spanning the years 2004 to 2022. This research intends to systematically analyze global data sources, including epidemiological reports, healthcare records, and demographic data, to discern correlations and trends.

Key objectives include examining how population movements contribute to the transmission and spread of AMR across regions and countries. The study will explore variations in AMR prevalence among migrating populations compared to stable resident populations. Special attention will be given to regions experiencing significant population displacement due to conflicts, natural disasters, or economic reasons, where AMR dynamics may be exacerbated by inadequate healthcare infrastructure and antibiotic misuse. The study aims to identify hotspots of AMR emergence and dissemination linked to human mobility and to propose evidence-based strategies for mitigating AMR risks in vulnerable populations.

Ultimately, the study seeks to contribute actionable insights to global health policies and practices, promoting more effective antimicrobial stewardship and public health responses tailored to the intersection of AMR with human migration and displacement.
DOI: 10.15468/dl.g6m6qp
title: Occurrence Download

description: A dataset containing 48412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Living Specimen, Material citation)",
 "GadmGid is BRA.20_1",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 48412 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042738-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94rm8x
title: Occurrence Download

description: A dataset containing 4497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchophorus ferrugineus (A.G.Olivier, 1791)"
 ]
}

 The dataset includes 4497 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042739-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.21585540
title: StairwayPlot2 infiles

description: Input files for running stairwayplot
DOI: 10.6084/m9.figshare.21585540.v1
title: StairwayPlot2 infiles

description: Input files for running stairwayplot
DOI: 10.15468/dl.uuu47b
title: Occurrence Download

description: A dataset containing 48412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Living Specimen, Material citation)",
 "GadmGid is BRA.20_1",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 48412 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042740-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12779132
title: GR2018 OBIETTIVO SPECIFICO 2
DOI: 10.5281/zenodo.12779133
title: GR2018 OBIETTIVO SPECIFICO 2
DOI: 10.5281/zenodo.12772181
title: GR2018 OBIETTIVO SPECIFICO 1
DOI: 10.5281/zenodo.12772182
title: GR2018 OBIETTIVO SPECIFICO 1
DOI: 10.34770/00yp-2w12
title: Sowing the Seeds for More Usable Web Archives: A Usability Study of Archive-It

description: In 2017, seven members of the Archive-It Mid-Atlantic Users Group (AITMA)
 conducted a study of 14 subjects representative of their stakeholder
 populations to assess the usability of Archive-It, a web archiving
 subscription service of the Internet Archive. While Archive-It is the most
 widely-used tool for web archiving, little is known about how users
 interact with the service. This study intended to teach us what users
 expect from web archives, which exist as another form of archival
 material. End-user subjects executed four search tasks using the public
 Archive-It interface and the Wayback Machine to access archived
 information on websites from the facilitators' own harvested
 collections and provide feedback about their experiences. The tasks were
 designed to have straightforward pass or fail outcomes, and the
 facilitators took notes on the subjects' behavior and commentary
 during the sessions. Overall, participants reported mildly positive
 impressions of Archive-It public user interface based on their session.
 The study identified several key areas of improvement for the Archive-It
 service pertaining to metadata options, terminology display, indexing of
 dates, and the site's search box. Download the README.txt for a
 detailed description of this dataset's content.
DOI: 10.25934/pr00010388
title: AMR Pattern-based Machine Learning Models 

description: The rise of antibiotic-resistant bacteria is a major health concern worldwide. The proposed research aims to build machine-learning models that can predict how bacteria become resistant to antibiotics. Information will be used to determine antibiotics that work against different bacteria, how this changes over time and what geographical differences exist in AMR models.

The research will integrate diverse data points, including bacterial identification, susceptibility profiles, and genotypic information, to identify complex patterns and emerging resistance mechanisms. This approach will:

1. Improve patient outcomes: By predicting resistance patterns, clinicians and microbiologists can make more informed decisions about antibiotic selection, leading to more effective treatments and reduced mortality rates associated with resistant infections.

2. Strengthen stewardship: The models will provide valuable insights into resistance trends, enabling healthcare facilities to implement targeted stewardship programs and optimise antibiotic use, thus preserving the efficacy of existing antibiotics.

3. Inform public health practice: The predictive models will allow public health officials to anticipate and prepare for emerging resistance threats, facilitating proactive interventions and resource allocation.

4. Strengthen health systems: By providing tools for early detection and prediction of AMR patterns, the proposed research will enhance surveillance systems, improve infection control measures, and support evidence-based policy-making.

This research will bridge the gap between big data and clinical practice, transforming raw surveillance data into actionable intelligence. The models aim to provide a dynamic, real-time understanding of AMR patterns, enabling a more responsive and effective approach to combating this global health challenge. By using machine learning the research aspires to enhance AMR management, ultimately contributing to global efforts to save lives.
DOI: 10.6084/m9.figshare.21585543
title: Zarr files for PCA

description: Zarr files for constructing PCA