cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18246368
title: Ayenia mansfeldiana (Herter) Herter ex Cristóbal. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.26jqrd
title: Occurrence Download

description: A dataset containing 56827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia peplis"
 ]
}

 The dataset includes 56827 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009084-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243616
title: CDC PRAMStat Data for 2007

description: 2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.
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description: (Downloaded 1/12/2026)
DOI: 10.5281/zenodo.18237508
title: It Takes Two to Make a Thing Go Right: Boosting Current in Coupled Motors

description: This .zip archive includes the source code, simulation scripts and parameter settings, figure-generation scripts, and figures used in our manuscript, “It Takes Two to Make a Thing Go Right: Boosting Current in Coupled Motors.”Additional details are available in the README.md files within the archive.

Manuscript abstract:

  Catalysis-driven synthetic molecular motors operate in a loose mechanochemical coupling regime, one in which a decomposition of a fuel molecule does not reliably produce a forward step. In that regime, stochastic backward steps can significantly degrade the motor's current, prompting us to ask whether mechanically coupling multiple such motors can boost their averaged current. By simulating rotaxane-based motors with two classes of models\textemdash particle-based nonequilibrium molecular dynamics and jump-diffusion models\textemdash we show that current boosts are physically achievable. Our observed boosts, which amplify current by single-digit factors, emerge when coupling between motors can increase the activity, speeding up the rate of both forward and backward steps. In doing so, the bias for preferring forward steps actually degrades, but the lost bias can be largely recovered by raising the fuel concentration, demonstrating a general design strategy: amplify activity through coupling and restore bias through stronger driving.
DOI: 10.3886/e243616v1
title: CDC PRAMStat Data for 2007

description: 2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.
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description: (Downloaded 1/12/2026)
DOI: 10.5281/zenodo.18237507
title: It Takes Two to Make a Thing Go Right: Boosting Current in Coupled Motors

description: This .zip archive includes the source code, simulation scripts and parameter settings, figure-generation scripts, and figures used in our manuscript, “It Takes Two to Make a Thing Go Right: Boosting Current in Coupled Motors.”Additional details are available in the README.md files within the archive.

Manuscript abstract:

  Catalysis-driven synthetic molecular motors operate in a loose mechanochemical coupling regime, one in which a decomposition of a fuel molecule does not reliably produce a forward step. In that regime, stochastic backward steps can significantly degrade the motor's current, prompting us to ask whether mechanically coupling multiple such motors can boost their averaged current. By simulating rotaxane-based motors with two classes of models\textemdash particle-based nonequilibrium molecular dynamics and jump-diffusion models\textemdash we show that current boosts are physically achievable. Our observed boosts, which amplify current by single-digit factors, emerge when coupling between motors can increase the activity, speeding up the rate of both forward and backward steps. In doing so, the bias for preferring forward steps actually degrades, but the lost bias can be largely recovered by raising the fuel concentration, demonstrating a general design strategy: amplify activity through coupling and restore bias through stronger driving.
DOI: 10.34740/kaggle/dsv/14498152
title: Antutu Benchmark
DOI: 10.15468/dl.muq9bj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.20.11_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009197-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18246381
title: Aylacophora Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18246382
title: Aylacophora Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5518/1710
title: Data associated with 'Unveiling astringency mechanism of plant proteins'

description: Raw data for all figures in the associated paper 'Unveiling astringency mechanism of plant proteins'
DOI: 10.15468/dl.anve3c
title: Occurrence Download

description: A dataset containing 35129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ramphocelus carbo)",
 "HasCoordinate is true",
 "Country is Ecuador"
 ]
}

 The dataset includes 35129 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009196-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243687
title: DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity

description: 1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors
among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and
other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human
immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors
the prevalence of obesity and asthma and other priority health behaviors.
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.ecy9jw
title: Occurrence Download

description: A dataset containing 22143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus albus, Amaranthus blitoides, Amaranthus blitum, Amaranthus caudatus, Amaranthus cruentus, Amaranthus deflexus, Amaranthus hybridus, Amaranthus hypochondriacus, Amaranthus muricatus, Amaranthus paniculatus, Amaranthus powellii, Amaranthus retroflexus, Amaranthus viridis, Amaranthus ozanonii, Amaryllis belladonna, Amorpha fruticosa, Anredera cordifolia, Araujia sericifera, Arctotheca calendula, Arundo donax, Asclepias curassavica, Asclepias syriaca, Austrocylindropuntia subulata, Azolla filiculoides, Baccharis halimifolia)",
 "Country is Portugal",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 22143 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009198-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243687v1
title: DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity

description: 1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors
among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and
other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human
immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors
the prevalence of obesity and asthma and other priority health behaviors.
Read less
description: (Downloaded 1/12/2026)
DOI: 10.5281/zenodo.18246392
title: Azara Ruiz & Pav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18246391
title: Azara Ruiz & Pav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.43b4y8
title: Occurrence Download

description: A dataset containing 174231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (March, April, May, September, October, November)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxyura jamaicensis",
 "Year 2024-2026"
 ]
}

 The dataset includes 174231 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009149-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.928eh7
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.37_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009199-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18246403
title: Azara uruguayensis (Speg.) Sleumer. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18246404
title: Azara uruguayensis (Speg.) Sleumer. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.qbhtpd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.20.12_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009200-260108223611665/datasets/export for details.
DOI: 10.5066/p14kc9vr
title: Fuels Data for the 2021 KNP Complex Fire in Sequoia and Kings Canyon National Parks, Collected in 2024 (ver. 1.1, January 2026)

description: Post-fire vegetation structure and fuels data are essential for understanding the recovery process after major disturbances. To meet this need, 40 plots within and around the perimeter of the 2021 KNP Complex Fire were surveyed between July 12 and July 28, 2024. Data was collected on sites previously established by the U.S. Geological Survey Kings Canyon and Sequoia Field Station, as well as new plots selected for their accessibility and burn severity. These plots were visited to assess fuel status and vegetation recovery after the KNP Complex Fire. Newly established plots were situated at least 50 meters from roads or trails, with a randomly designated center point. Each plot had a diameter of 20 meters and was surveyed at the transect and entire plot level. A terrestrial lidar scanner was also used to collect point cloud data of each site. This data release includes the manual fuel metrics in comma-separated values format (CSV), point clouds in the lidar data exchange file format (LAS), and a shapefile (SHP) of the plot locations.
DOI: 10.3886/e243703
title: COVID-19 Vaccination Demographics in the United States,National

description: Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. 
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e243703v1
title: COVID-19 Vaccination Demographics in the United States,National

description: Overall Demographic Characteristics of People Receiving COVID-19 Vaccinations in the United States at national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities. 
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.mu2q8x
title: Occurrence Download

description: A dataset containing 24805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Baccharis spicata, Bidens alba, Bidens aurea, Bidens frondosa, Bidens pilosa, Cabomba caroliniana, Carpobrotus acinaciformis, Carpobrotus edulis, Cenchrus ciliaris, Cenchrus clandestinus, Cenchrus longisetus, Cenchrus setaceus, Cercis siliquastrum, Chamaecyparis lawsoniana, Chasmanthe aethiopica, Chasmanthe floribunda, Clethra arborea, Coreopsis, Cortaderia selloana, Cotula australis, Cotula coronopifolia, Crassula helmsii, Cyperus eragrostis, Cyrtomium falcatum, Datura innoxia)",
 "Country is Portugal",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 24805 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009201-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bartug
title: Occurrence Download

description: A dataset containing 8954 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microhyla heymonsi"
 ]
}

 The dataset includes 8954 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009202-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjqvmz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.39_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009203-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243709
title: CDC COVID-19 Cases and Deaths Ensemble Forecast Archive

description: This dataset contains forecasted weekly numbers of reported COVID-19 incident cases, incident deaths, and cumulative deaths in the United States, previously reported on COVID Data Tracker (https://covid.cdc.gov/covid-data-tracker/#datatracker-home). These forecasts were generated using mathematical models by CDC partners in the COVID-19 Forecast Hub (https://covid19forecasthub.org/doc/ensemble/). A CDC ensemble model was produced every week using the submitted models from that week at the national, and state/territory level.


This dataset is intended to mirror the observed and forecasted data, previously available for download on the CDC’s COVID Data Tracker. Mortality forecasts for both new and cumulative reported COVID-19 deaths were produced at the state and territory level and national level. Forecasts of new reported COVID-19 cases were produced at the county, state/territory, and national level. Please note that this dataset is not complete for every model, date, location or combination thereof. Specifically, county level submissions for COVID-19 incident cases were accepted, but not required, and are missing or incomplete for many models and dates. State and territory-level forecasts are more complete, but not all models submitted forecasts for all locations, dates, and targets (new reported deaths, new reported cases, and cumulative reported deaths). Forecasts for COVID-19 incident cases were discontinued in February 2022. Forecasts for COVID-19 cumulative and incident deaths were discontinued in March 2023.
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e243709v1
title: CDC COVID-19 Cases and Deaths Ensemble Forecast Archive

description: This dataset contains forecasted weekly numbers of reported COVID-19 incident cases, incident deaths, and cumulative deaths in the United States, previously reported on COVID Data Tracker (https://covid.cdc.gov/covid-data-tracker/#datatracker-home). These forecasts were generated using mathematical models by CDC partners in the COVID-19 Forecast Hub (https://covid19forecasthub.org/doc/ensemble/). A CDC ensemble model was produced every week using the submitted models from that week at the national, and state/territory level.


This dataset is intended to mirror the observed and forecasted data, previously available for download on the CDC’s COVID Data Tracker. Mortality forecasts for both new and cumulative reported COVID-19 deaths were produced at the state and territory level and national level. Forecasts of new reported COVID-19 cases were produced at the county, state/territory, and national level. Please note that this dataset is not complete for every model, date, location or combination thereof. Specifically, county level submissions for COVID-19 incident cases were accepted, but not required, and are missing or incomplete for many models and dates. State and territory-level forecasts are more complete, but not all models submitted forecasts for all locations, dates, and targets (new reported deaths, new reported cases, and cumulative reported deaths). Forecasts for COVID-19 incident cases were discontinued in February 2022. Forecasts for COVID-19 cumulative and incident deaths were discontinued in March 2023.
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description: (Downloaded 1/12/2026)
DOI: 10.5067/evkxyhw95fpj
title: ATLAS/ICESat-2 ATL02 Linear Impulse Response, Version 1
DOI: 10.34740/kaggle/dsv/14498182
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18246423
title: Baccharidastrum Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18246424
title: Baccharidastrum Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42