cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.28405157
title: Seasonal CO<sub>2</sub> cycle at the martian poles revealed by sounding radar [dataset]

description: SHARAD calibrated surface echo data accompanying the manuscript Jawin et al., Seasonal CO<sub>2</sub> cycle at the martian poles revealed by sounding radar. Dataset includes csv files of median surface echo power in 0.5-degree bins within 5 degrees latitude of the south and north poles of Mars, in timesteps of 20 degrees of solar longitude (L<sub>s</sub>). For additional details, please see the full article.Gifs are provided showing the changing power at each timestep of 20 degrees of L<sub>s</sub> including power histograms, maps of power, and maps showing the change in power (the difference in power between at each timestep and the annual minimum power at each pixel). To view a gif on a Mac: download the file, right-click on the filename in Finder, choose "Open with" and select a web browser such as Safari, Firefox, or Chrome.
DOI: 10.25573/data.28405157.v1
title: Seasonal CO<sub>2</sub> cycle at the martian poles revealed by sounding radar [dataset]

description: SHARAD calibrated surface echo data accompanying the manuscript Jawin et al., Seasonal CO<sub>2</sub> cycle at the martian poles revealed by sounding radar. Dataset includes csv files of median surface echo power in 0.5-degree bins within 5 degrees latitude of the south and north poles of Mars, in timesteps of 20 degrees of solar longitude (L<sub>s</sub>). For additional details, please see the full article.Gifs are provided showing the changing power at each timestep of 20 degrees of L<sub>s</sub> including power histograms, maps of power, and maps showing the change in power (the difference in power between at each timestep and the annual minimum power at each pixel). To view a gif on a Mac: download the file, right-click on the filename in Finder, choose "Open with" and select a web browser such as Safari, Firefox, or Chrome.
DOI: 10.15468/dl.nm6hp8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052028-250525065834625/datasets/export for details.
DOI: 10.25934/pr00011499
title: Carbapenem Resistance: A Spatiotemporal Modeling Approach for the Vivli AMR Surveillance Data Challenge

description: By 2050, deaths attributed to antimicrobial resistance (AMR) will reach upwards of two million people globally. It will continue to be one of the leading causes of death around the world, with a disproportionate impact on developing nations. Many of the deaths associated with AMR can
be resolved through improved healthcare infrastructure, better reporting of local AMR incidence, and improved access to antibiotics specific for treating AMR. A 2025 study, published by Naghavi M. et al. at the Institute of Health Metrics and Evaluation, found that among gram-negative bacteria, resistance to carbapenems in particular increased more than any other
antibiotic class and will continue to remain a significant concern for future public health efforts. This study proposes three objectives: 1) identify the geographical and temporal trends associated with increased carbapenem-resistant infections. 2) Based on identified trends, develop an ensemble model made up of generalized additive models (GAMs), Random Forest,
XGBoost, and Bayesian hierarchical models to accurately forecast high risk areas and future trends in carbapenem-resistant infections (CRI). 3) Using the ensemble model performance and data quality evaluation, highlight areas for public health experts that merit targeted interventions of high-risk CRI. Optionally, if data permit, we also aim to examine the spatial
heterogeneity between general and nosocomial AMR related to CRI. We will leverage data from Innoviva, Sidero-WT, Venus Remedies, Paratek, and Atlas to access over one million global isolates of carbapenem-resistance while extracting a wide range of country-level information on potential drivers of this particular gram-negative resistance. This project allows us to use novel methodologies to create a prototype for future carbapenem-resistant pathogens outbreak simulation to strengthen health systems as well as inform public health access. It will also allow us to improve global understanding of resistance drivers and support targeted healthcare interventions.
DOI: 10.15468/dl.6uy4yq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1382 11.0599,28.1382 11.0599,28.1382 2.0599,37.1382 2.0599,37.1382 11.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052029-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vkegg2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Ctenodon paniculatus (Willd. ex Vogel) D.B.O.S.Cardoso, P.L.R.Moraes & H.C.Lima"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052030-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hyegr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052031-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kwpqkz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.6773 -19.208,37.1382 -18.642,37.1382 -15.9401,28.1382 -15.9401,28.1382 -24.9401,35.4247 -24.9401,35.8709 -24.466,36.104 -22.9254,35.9928 -21.5082,35.6186 -21.0464,35.2681 -20.21,36.0896 -19.4412,36.6773 -19.208))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052032-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6dypdb
title: Occurrence Download

description: A dataset containing 12421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus falcata Michx."
 ]
}

 The dataset includes 12421 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052033-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2mvzq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052035-250525065834625/datasets/export for details.
DOI: 10.15468/dl.dhwmyq
title: Occurrence Download

description: A dataset containing 9622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus montana Willd."
 ]
}

 The dataset includes 9622 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052034-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzbpnc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.2919 -25.0813,35.4247 -24.9401,28.1382 -24.9401,28.1382 -33.4828,28.196 -33.4487,30.377 -31.6356,31.6769 -29.761,32.8025 -28.8229,33.358 -27.1012,33.4492 -25.7792,35.2919 -25.0813))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052037-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6wdz9y
title: Occurrence Download

description: A dataset containing 775 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codoma ornata Girard, 1856"
 ]
}

 The dataset includes 775 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052038-250525065834625/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.29329169.v1
title: <b>Cyprinid herpesvirus 2</b><b> entry into host cells via </b><b>caveola</b><b>-</b><b>mediated </b><b>endocytosis</b>

description: Although Cyprinid herpesvirus 2 (CyHV-2) causes serious fish epidemics worldwide, the detailed mechanism of CyHV-2 entry into host cells remains unknown. Here, we comprehensively investigated the mechanism of CyHV-2 entry into <i>Carassius auratus gibelio</i> caudal fin cell line (GiCF) cells. This study demonstrated CyHV-2 enters GiCF cells via a low pH, dynamin, caveolin-1, cholesterol, and caveola-mediated endocytosis. Following endocytosis, CyHV-2 is transported to late endosomes in a Rab7- and microtubule-dependent manner. The characterization of CyHV-2 entry will further advance the understanding of <i>Cyprinivirus</i> cellular entry pathways and provide novel targets for antiviral drug against CyHV-2 infection.
DOI: 10.25934/pr00011489
title: Data Challenge: Mapping India’s AMR Crisis: A Statistical and One Health Approach to Antibiotic Resistance Surveillance 

description: 
Antimicrobial resistance (AMR) is a global public health crisis, and India is among its most critical hotspots due to factors like overprescription, poor sanitation, limited access to healthcare, and rampant antibiotic use in agriculture. While several national and international efforts have attempted to map India’s AMR burden, surveillance data remain fragmented, underutilized, and often disconnected from actionable public health and stewardship strategies.

Through this challenge, our project aims to utilise the power of the Vivli AMR datasets to enable a two-pronged, data-driven strategy. First, we will consolidate and analyze resistance trends in both Gram-positive and Gram-negative bacterial infections across Indian states using the AMR Vivli Challenge datasets requested. By conducting factor analysis and stratifying the data by region, age, sex, and pathogen-antibiotic combinations, we hope to identify high-burden geographies and treatment gaps, informing treatment strategies and improving patient outcomes and clinical stewardship.

Second, we aim to extend the analysis beyond the clinical context to adopt a One Health approach—recognizing the interconnectedness of human, animal, and environmental reservoirs of AMR. We will correlate resistance trends observed in humans with publicly available data from poultry farms, wastewater sources, and pharmaceutical effluents in India. This holistic integration will uncover environmental resistomes and potential routes of horizontal gene transfer, informing public health practices and system-level interventions. This is extremely essential owing to the rampant rise in resistomes found in various parts of India, colistin administration to poultry and its consistent impact on humans being administered with these drugs. 

We aim that these approaches not only provide actionable insights for localized interventions in India but also build a scalable, data-integrated framework that can serve as a model for LMICs battling AMR. Our ultimate goal is to drive tailored, evidence-based solutions to strengthen AMR surveillance, stewardship, and mitigation in India.
DOI: 10.60503/d3/oramty
title: Institute of Governmental Studies (IGS) Poll, 2017-03-13

description: The Berkeley IGS Poll is a periodic survey of California public opinion on important matters of politics, public policy, and public issues. The poll, which is disseminated widely, seeks to provide a broad measure of contemporary public opinion, and to generate data for subsequent scholarly analysis. For IGS Poll press releases please visit: eScholarship IGS Poll Press Releases
DOI: 10.34740/kaggle/dsv/12198877
title: Emojis List Unicode Image Dataset
DOI: 10.34740/kaggle/dsv/12198970
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.e2btw8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1 -47.075,37.1382 -47.1134,37.1382 -46.9324,37.1 -47.075))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052040-250525065834625/datasets/export for details.
DOI: 10.15468/dl.adtbyq
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052039-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmse4z
title: Occurrence Download

description: A dataset containing 64714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Anas sparsa Eyton, 1838",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 64714 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052022-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeznkw
title: Occurrence Download

description: A dataset containing 1857 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euterpe edulis Mart."
 ]
}

 The dataset includes 1857 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052044-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cen88d
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinella garmani (Jordan, 1885)"
 ]
}

 The dataset includes 132 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052042-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sb2xw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 -15.9401,19.1382 -15.9401,19.1382 -24.9401,28.1382 -24.9401,28.1382 -15.9401))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052045-250525065834625/datasets/export for details.
DOI: 10.13020/efgb-9b37
title: 16S Microbiome fastq Sequences From Adult I. scapularis Ticks Collected Across Minnesota, Iowa and Wisconsin During The Summer in 2017-2019

description: Untangling how factors such as environment, host, associations among bacterial species and dispersal predict microbial composition is a fundamental challenge. In this study, we use complementary machine-learning approaches to quantify the relative role of these factors in shaping microbiome variation of the blacklegged tick Ixodes scapularis. I. scapularis is the most important vector for Borrelia burgdorferi (the causative agent for Lyme disease) in the U.S. as well as a range of other important zoonotic pathogens. Yet the relative role of the interactions between pathogens and symbionts compared to other ecological forces is unknown. We found that positive associations between microbes where the occurrence of one microbe increases the probability of observing another, including between both pathogens and symbionts, was by far the most important factor shaping the tick microbiome. Microclimate and host factors played an important role for a subset of the tick microbiome including Borrelia (Borreliella) and Ralstonia, but for the majority of microbes, environmental and host variables were poor predictors at a regional scale. This study provides new hypotheses on how pathogens and symbionts might interact within tick species, as well as valuable predictions for how some taxa may respond to changing climate.
DOI: 10.15468/dl.67nq52
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052046-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6jbfw4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 -6.9401,19.1382 -6.9401,19.1382 -15.9401,28.1382 -15.9401,28.1382 -6.9401))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052048-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6thkt8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatotheca bergiana (Cham.) C.Presl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052049-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15685147
title: Files for Physics-Informed Graph Attention Networks for Scalable Pavement Response Prediction

description: This dataset contains all the code and data required to replicate the study Graph Attention Networks for Mechanistic Pavement Analysis: A Physics-Informed Machine Learning Approach.
DOI: 10.5281/zenodo.15685148
title: Files for Physics-Informed Graph Attention Networks for Scalable Pavement Response Prediction

description: This dataset contains all the code and data required to replicate the study Graph Attention Networks for Mechanistic Pavement Analysis: A Physics-Informed Machine Learning Approach.
DOI: 10.15468/dl.864v9g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enneacampus kaupi (Bleeker, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.2291 -34.019,27.3628 -33.9401,19.1382 -33.9401,19.1382 -35.0665,20.0413 -35.3323,20.7102 -34.9578,21.9201 -34.8682,22.6598 -34.5181,23.406 -34.611,23.7098 -34.5029,24.8326 -34.7174,25.2572 -34.5102,25.849 -34.5138,26.1077 -34.3123,27.2291 -34.019))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052050-250525065834625/datasets/export for details.