cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28546562
title: Circadian regulation of key physiological processes by the RITMO1 clock protein in the marine diatom <i>Phaeodactylum tricornutum</i>; New phytologist article dataset

description: Dataset of the New Phytologist article: Circadian regulation of key physiological processes by the RITMO1 clock protein in the marine diatom <i>Phaeodactylum tricornutum</i><br>Alessandro Manzotti<sup>1,</sup>*, Raphaël Monteil<sup>1,</sup>* Soizic Cheminant Navarro<sup>1</sup>, Dany Croteau<sup>1</sup>, Lucie Charreton<sup>1</sup>, Antoine Hoguin<sup>1</sup>, Nils Fabian Strumpen<sup>2</sup>, Denis Jallet<sup>3</sup>, Fayza Daboussi<sup>3,4</sup>, Peter G. Kroth<sup>2</sup>, François-Yves Bouget<sup>5</sup>, Marianne Jaubert<sup>1</sup>, Benjamin Bailleul<sup>1</sup>, Jean-Pierre Bouly<sup>1,6</sup> and Angela Falciatore<sup>1</sup><br><sup>1</sup>Laboratoire de Photobiologie et Physiologie des Plastes et des Microalgue, UMR7141,CNRS, Sorbonne Université, Institut de Biologie Physico-Chimique, Paris, France;<sup>2</sup>Fachbereich Biologie, Universität Konstanz, 78457 Konstanz, Germany ;<sup>3</sup>Toulouse Biotechnology Institute (TBI), Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France;<sup>4</sup>Toulouse White Biotechnology (TWB), INSA, Toulouse, France;<sup>5</sup>Laboratoire d’Océanographie Microbienne Sorbonne Université, CNRS UMR7621, Observatoire Océanologique de Banyuls, Banyuls sur Mer, France;<sup>6</sup>Molécules de Communication et Adaptation des Micro-Organismes, UMR 7245, CNRS/MNHN, Paris, France.<br>*These authors contributed equally to this work.Author for correspondence:<i>Angela Falciatore</i>, angela.falciatore@ibpc.fr<br>ORCIDAM: 0009-0001-9553-3955RM: 0009-0002-6575-0147SCN: 0000-0003-0240-2030DC: 0000-0001-9322-8634LC: 0009-0008-8412-6298AH: 0000-0002-5100-2810NFS: 0000-0003-1147-2831DJ: 0000-0003-0201-5671FD: 0000-0001-7689-7975PGK: 0000-0003-4734-8955FYB: 0000-0001-7652-4490MJ: 0000-0001-5419-5796BB: 0000-0002-5994-8299JPB: 0000-0002-2423-3867AF: 0000-0003-3318-9578
DOI: 10.6084/m9.figshare.28543697
title: Dataset for Article Martin et al. 2025 Ecosphere "Beyond the edge: environmental characteristics of northwestern Eurasian primary forests contrast with surrounding areas"

description: This dataset corresponds to the one used for the analyses in the article “Beyond the edge: environmental characteristics of northwestern Eurasian primary forests contrast with surrounding areas” published in 2025 by M. Martin, N. Khula, T. Braslavskaya, A. Komarova, T. Kuuluvainen, A. Aleinikov and O. Valeria in Ecosphere.<br>The columns of the dataset correspond to the following information: - REGION: Study region- ID_PRIMARY_FOREST: Identifier of the primary forest selected for analysis- BUFFER: “CORE” if the virtual plot is within the primary forest, “BUFF1” if it corresponds to the 1km Buffer around its boundaries.- ID_VIRTUAL_PLOT: Identifier of the virtual plot created within the study area.- LAND_COVER: Land cover defined by Copernicus at the location of the virtual plot- ELEVATION: Altitude in meters at the location of the virtual plot- SLOPE: Slope in percent at virtual plot location- TPI: Topographic position index (no unit) at virtual plot location- HND: Height to nearest drainage in meters at virtual plot location- DIST_NEAREST_RIVER: Distance to nearest river in kilometers at virtual plot location<br>The data source is available in Table 2 of the article.
DOI: 10.15468/dl.r2fb7w
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.38732 46.1886,6.38259 46.18808,6.38146 46.18585,6.37723 46.18293,6.37396 46.18005,6.37383 46.17682,6.3727 46.17145,6.37175 46.16765,6.37175 46.1639,6.37263 46.16093,6.37515 46.15944,6.3773 46.15682,6.38095 46.15464,6.386 46.15508,6.38713 46.15805,6.38896 46.1625,6.38927 46.16835,6.39431 46.16992,6.39866 46.17158,6.39879 46.17686,6.39967 46.18044,6.40156 46.18576,6.39721 46.18554,6.39331 46.18685,6.38732 46.1886))",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 317 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008020-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e221862
title: How Do We Age? A Decomposition of Gompertz Law

description: A strong regularity of human life is Gompertz's law, which predicts a near-perfect exponential increase in mortality with age. In this paper, we take into account that chronological age is not a cause of death and decompose Gompertz's law into two equally strong laws: (i) an exponential increase in health deficits as measured by the frailty index, and (ii) a power law association between the frailty index and the mortality rate. We show how the increase in the frailty index can be derived from the feature of self-productivity of health deficits. We explore the robustness of the Gompertz decomposition across countries, sex, and over time and show how information about mortality rates can be used to infer the state of health of an age-structured population. Finally, we use this method to infer the biological ages of past populations, such as Australians in 1940 and Swedes in 1770.
DOI: 10.3886/e221862v1
title: How Do We Age? A Decomposition of Gompertz Law

description: A strong regularity of human life is Gompertz's law, which predicts a near-perfect exponential increase in mortality with age. In this paper, we take into account that chronological age is not a cause of death and decompose Gompertz's law into two equally strong laws: (i) an exponential increase in health deficits as measured by the frailty index, and (ii) a power law association between the frailty index and the mortality rate. We show how the increase in the frailty index can be derived from the feature of self-productivity of health deficits. We explore the robustness of the Gompertz decomposition across countries, sex, and over time and show how information about mortality rates can be used to infer the state of health of an age-structured population. Finally, we use this method to infer the biological ages of past populations, such as Australians in 1940 and Swedes in 1770.
DOI: 10.15468/dl.hanzuj
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saussurea laniceps Hand.-Mazz."
 ]
}

 The dataset includes 84 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008021-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f42b8f
title: Occurrence Download

description: A dataset containing 3501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fatsia japonica (Thunb.) Decne. & Planch.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3501 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008022-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j22vk
title: Occurrence Download

description: A dataset containing 1764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Cojoba arborea (L.) Britton & Rose",
 "Year 1900-2025"
 ]
}

 The dataset includes 1764 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007933-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7c6bfb
title: Occurrence Download

description: A dataset containing 1702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliandra grandiflora (L'Hér.) Benth.",
 "Year 1900-2025"
 ]
}

 The dataset includes 1702 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008023-250227182430271/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.28554356
title: <b>A BIBLIOMETRIC ANALYSIS OF IMMEDIATE DENTIN SEALING FROM 1993 TO 2025</b>

description: This bibliometric research aimed to explore prominent countries and institutions, identify journals, determine prolific authors, and elucidate frequently employed keywords within the immediate dentin sealing (IDS) domain.
DOI: 10.15468/dl.jrx2zm
title: Occurrence Download

description: A dataset containing 2425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gea C.L.Koch, 1843"
 ]
}

 The dataset includes 2425 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008025-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rapcuz
title: Occurrence Download

description: A dataset containing 1431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Erythrina americana Mill., Dalbergia granadillo Pittier)",
 "Year 1900-2025"
 ]
}

 The dataset includes 1431 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008024-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2k2xr
title: Occurrence Download

description: A dataset containing 14514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypopyrrhus pyrohypogaster (Tarragon, 1847)",
 "Year 2003-2025"
 ]
}

 The dataset includes 14514 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007934-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e211741
title: Data and Code for: Do Ordeals Work for Selection Markets?

description: This is a data and code replication packet for "Do Ordeals Work for Selection Markets? Evidence from Health Insurance Auto-Enrollment", which will be published in the American Economic Review. This project contains all code and data for the paper that can be released publicly.<br>
description: Low-income Massachusetts residents.
description: Data for this project came from administrative records for the Massachusetts Health Connector program and from the Massachusetts All-Payer Claims Database. These data are confidential and cannot be posted with this archive.<br><br>A small piece of the analysis uses public American Community Survey data, and we post this data.
DOI: 10.3886/e211741v1
title: Data and Code for: Do Ordeals Work for Selection Markets?

description: This is a data and code replication packet for "Do Ordeals Work for Selection Markets? Evidence from Health Insurance Auto-Enrollment", which will be published in the American Economic Review. This project contains all code and data for the paper that can be released publicly.<br>
description: Low-income Massachusetts residents.
description: Data for this project came from administrative records for the Massachusetts Health Connector program and from the Massachusetts All-Payer Claims Database. These data are confidential and cannot be posted with this archive.<br><br>A small piece of the analysis uses public American Community Survey data, and we post this data.
DOI: 10.15468/dl.75wx9v
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.41961 42.98656,11.45085 42.2527,12.25665 41.62916,12.75069 42.23831,12.48208 42.62203,12.45331 42.89063,12.07918 43.36548,10.58312 43.55584,10.43923 43.34959,10.41961 42.98656))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Drabella muralis (L.) Fourr."
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007936-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zga8az
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Eysenhardtia polystachya (Ortega) Sarg.",
 "Year 1900-2025"
 ]
}

 The dataset includes 2915 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007935-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywkstd
title: Occurrence Download

description: A dataset containing 3373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Gliricidia sepium (Jacq.) Kunth",
 "Year 1900-2025"
 ]
}

 The dataset includes 3373 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008027-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.und48z
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Havardia pallens (Benth.) Britton & Rose",
 "Year 1900-2025"
 ]
}

 The dataset includes 1368 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007937-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14989083
title: CRF for the study Characterization of snoRNA retaining transcripts in human normal and cancer cells
DOI: 10.5281/zenodo.14989084
title: CRF for the study Characterization of snoRNA retaining transcripts in human normal and cancer cells
DOI: 10.60507/fk2/au4ruc
title: Dataset: Drought damage to forest trees by hygroscopic particles

description: This dataset contains data from a three year PhD project concerning the drought damage to forest trees by hygroscopic paricles founded by the Umweltbundesamt in germany. From 2021 to 2024, leaves and needles from the canopies of beech, oak, spruce and pine at different level II plots of the ICP intensive forest monitoring program were sampled at different sites in Germany. Drought stress indicators minimal epidermal conductance and water potential at turgor loss point were measured. Leaves were washed and washing solution was analysed to obtain amounts of particles. Delta13C, Delta15N and contact angles were measured as well.
description: RStudio, 4.1.2
description: Explanatory Review article about the concept of hydraulic activated stomata (HAS). This was the concept that was researched in the project.
DOI: 10.60507/fk2/au4ruc/p1l66g
title: data_FeinstaubundBaeume.csv

description: datafile in csv format
DOI: 10.60507/fk2/au4ruc/we78ak
title: Koch_FeinstaubundBaueme_Readme_v1.txt

description: README
DOI: 10.15468/dl.2yaygb
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia granadillo Pittier",
 "Year 1900-2025"
 ]
}

 The dataset includes 168 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007939-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt52gk
title: Occurrence Download

description: A dataset containing 13470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ZAF.9_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Baeometra uniflora (Jacq.) G.J.Lewis, Aristea spiralis (L.f.) Ker Gawl., Aristea nigrescens J.C.Manning & Goldblatt, Pauridia canaliculata (Garside) Snijman & Kocyan, Drosera cistiflora L., Drosera pauciflora Banks ex DC., Disa elegans Sond. ex Rchb.f., Prismatocarpus pedunculatus (P.J.Bergius) A.DC., Wahlenbergia capensis (L.) A.DC., Roella ciliata L., Roella incurva Banks ex A.DC., Monsonia speciosa L., Nemesia barbata (Thunb.) Benth., Nemesia strumosa (Benth.) Benth., Ornithogalum thyrsoides Jacq., Ornithogalum dubium Houtt., Ornithogalum ceresianum F.M.Leight., Aristea biflora Weim., Aristea cantharophila Goldblatt & J.C.Manning, Aristea teretifolia Goldblatt & J.C.Manning, Moraea versicolor (Salisb. ex Klatt) Goldblatt, Moraea bellendenii (Sweet) N.E.Br., Moraea cantharophila Goldblatt & J.C.Manning, Moraea insolens Goldblatt, Moraea villosa Ker Gawl. ex Rchb., Moraea tulbaghensis L.Bolus, Thereianthus ixioides G.J.Lewis, Ixia metelerkampiae L.Bolus, Geissorhiza tricolor Goldblatt & J.C.Manning, Geissorhiza radians Ker Gawl. ex Steud., 1840, Geissorhiza cantharophila Goldblatt & J.C.Manning, Babiana angustifolia Sweet, Babiana fragrans (Jacq.) Steud., Babiana rubrocyanea (Jacq.) Ker Gawl., Babiana stricta (Aiton) Ker Gawl., Babiana papyracea Goldblatt & J.C.Manning, Babiana pygmaea (Burm.f.) Baker, Babiana regia (G.J.Lewis) Goldblatt & J.C.Manning, Babiana villosa (Aiton) Ker Gawl., Romulea eximia M.P.de Vos, Romulea hirsuta (Steud. ex Klatt) Eckl. ex Baker, Romulea obscura Klatt, Romulea komsbergensis M.P.de Vos, Romulea sabulosa Schltr. ex Bég., Romulea monadelpha (Sweet ex Steud.) Baker, Ixia aurea J.C.Manning & Goldblatt, Ixia tenuifolia Vahl, Ixia pavonia Goldblatt & J.C.Manning, Ixia amethystina J.C.Manning & Goldblatt, Ixia dubia Vent., Sparaxis elegans (Sweet) Goldblatt, Sparaxis pillansii L.Bolus, Sparaxis tricolor (Schneev.) Ker Gawl., Sparaxis maculosa Goldblatt, Sparaxis grandiflora subsp. grandiflora)"
 ]
}

 The dataset includes 13470 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007940-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39sacv
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrina americana Mill.",
 "Year 1900-2025"
 ]
}

 The dataset includes 1263 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008028-250227182430271/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.27277692
title: Risk factors of overdose in maternal patients with opioid use disorder: a scoping review

description: <i>Background:</i> Opioid-related overdoses significantly contribute to mortality in pregnancy and the postpartum period. Few studies report risk factors predisposing pregnant and postpartum patients with opioid use disorder (OUD) to overdose. <i>Objective:</i> This scoping review aims to describe the risk factors predisposing pregnant and postpartum patients with OUD to overdose. <i>Method:</i> Included studies identified pregnant and/or postpartum patients with OUD and differentiated between those who experienced overdose and those who did not. Of the 1060 articles, 8 met the criteria, examining 90,860 pregnant and postpartum patients with OUD. <i>Results:</i> Consistent use of medications for OUD (MOUD) during pregnancy and the postpartum period was the most frequently identified factor reducing overdose risk. Critical times of heightened overdose risk include the first trimester and the 7–12-month postpartum period. Pregnancy complications, such as stillbirth, severe maternal morbidity, preterm birth, and cesarean delivery, also increase risk. Opioid overdose is associated with being houseless, incarcerated, young, unmarried, publicly insured, not graduating high school, co-occurring substance use disorders, and inadequate prenatal care. Legislative changes, such as not classifying OUD in pregnancy as “child abuse” and increasing Medicaid reimbursement for Screening, Brief Intervention, and Referral to Treatment programs, are crucial to reducing risk. The impact of race and the influence of co-occurring psychiatric disorders was inconsistently reported. <i>Conclusion:</i> This scoping review identifies significant risk factors for opioid overdose in pregnant and postpartum patients. Improving access through enhanced Medicaid reimbursement, non-punitive reporting policies, and non-stigmatized care are keys to reducing overdose.