cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27003036.v1
title: Trends in chlorine and chloramine gas exposures reported to United States poison centers

description: Chlorine and chloramine gas inhalation can occur when household cleaners are mixed. The increased emphasis on disinfecting practices during the COVID-19 pandemic may have contributed to an increase in chlorine and chloramine gas exposures in the United States, which has not been studied. In a retrospective review, reported data on chlorine and chloramine gas exposures in the National Poison Data System were collected from January 1, 2015, to December 31, 2022. Data included demographics and exposure details, including location, dose, formulation, co-exposures, treatments, and outcomes. Demographic analyses and descriptive statistics were conducted. During the study period, 85,104 total exposures to chlorine and chloramine gas were reported, consisting of 79,281 isolated exposures and 5,823 co-exposures. Total exposures increased by 61% from 8,385 in 2015 to 13,503 in 2022, with the largest increase of 38.3% occurring from 2019 to 2020. Total exposures remained increased through 2022 with no return to pre-pandemic levels. Most exposures occurred in “own residence” (<i>n</i> = 72,213, 84.9%), with a larger proportion of exposures occurring at home peri-pandemic versus pre-pandemic (88.4% versus 81.7%). One percent (<i>n</i> = 1,030) of exposures were admitted to a non-critical care unit, 0.73% (<i>n</i> = 619) were admitted to a critical care unit, and 0.03% (<i>n</i> = 26) resulted in death. The onset of the COVID-19 pandemic and increased emphasis on cleaning practices were likely contributing factors to the marked increase in exposures in 2020, which persisted through 2022. Cleaning practices that developed during the beginning of the pandemic likely persisted despite returning to more normal daily routines, which may explain the ongoing increase in reported exposures. Most reported exposures were unintentional, mild in symptomatology, and required the use of non-invasive therapies, if any. Future efforts should focus on public education on the safe use of cleaning products to prevent exposure to toxic chlorine and chloramine gases.
DOI: 10.15151/esrf-es-1909180024
title: The Netherlands BAG

description: The Netherlands BAG comprises structural biology and enzymology groups at five dutch universities (Utrecht, Groningen, Leiden, Eindhoven and Wageningen) and at the Netherlands Cancer Institute in Amsterdam, with a total of thirteen PIs. The research projects carried out in these groups can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.6084/m9.figshare.26790295
title: Outgoing initial healthcare facility follow-up call metrics and barriers within a single United States poison center

description: Specialists in poison information are responsible for following-up with exposure cases managed at healthcare facilities. However, the amount of time, call components, and barriers met when completing an initial healthcare facility follow-up call in which a large amount of data and clinical recommendations are shared is not well described. A retrospective observational study was conducted by randomizing healthcare facility initial follow-up calls from January to April 2022. One hundred and thirty calls that met the inclusion criteria were randomly selected. We recorded seven unique time intervals within each call. Day of the week, time of day, and variability amongst specialists in poison information were also assessed. Initial follow-up calls took a median of 7.2 min. Most (67%) follow-up calls were directed to emergency departments. Barriers to completion of calls were most commonly due to the healthcare reporter being busy (37%) and specialists in poison information being placed on terminal hold (30%). There was variability between specialists in poison information in the time for healthcare reporter to share data (<i>P</i> &lt; 0.0001), time for specialists in poison information recommendations (<i>P</i> = 0.0076), and total time (<i>P</i> = 0.0003). Variability exists amongst specialists in poison information during periods of information exchange, particularly when the healthcare reporter is providing information and subsequently when the specialist in poison information is providing recommendations. Barriers to completing calls centered around healthcare reporter being busy or the specialist in poison information being placed on a terminal hold. There was no correlation with the time or day of the week. With notable variability in these calls during periods of intense communication of data and treatment recommendations, there are likely opportunities for specialists in poison information and poison center directors to work together to address variability and overcome barriers to completing initial hospital follow-up calls. Further studies to evaluate variability amongst specialists in poison information are the next steps in understanding this complex topic.
DOI: 10.6084/m9.figshare.26790295.v1
title: Outgoing initial healthcare facility follow-up call metrics and barriers within a single United States poison center

description: Specialists in poison information are responsible for following-up with exposure cases managed at healthcare facilities. However, the amount of time, call components, and barriers met when completing an initial healthcare facility follow-up call in which a large amount of data and clinical recommendations are shared is not well described. A retrospective observational study was conducted by randomizing healthcare facility initial follow-up calls from January to April 2022. One hundred and thirty calls that met the inclusion criteria were randomly selected. We recorded seven unique time intervals within each call. Day of the week, time of day, and variability amongst specialists in poison information were also assessed. Initial follow-up calls took a median of 7.2 min. Most (67%) follow-up calls were directed to emergency departments. Barriers to completion of calls were most commonly due to the healthcare reporter being busy (37%) and specialists in poison information being placed on terminal hold (30%). There was variability between specialists in poison information in the time for healthcare reporter to share data (<i>P</i> &lt; 0.0001), time for specialists in poison information recommendations (<i>P</i> = 0.0076), and total time (<i>P</i> = 0.0003). Variability exists amongst specialists in poison information during periods of information exchange, particularly when the healthcare reporter is providing information and subsequently when the specialist in poison information is providing recommendations. Barriers to completing calls centered around healthcare reporter being busy or the specialist in poison information being placed on a terminal hold. There was no correlation with the time or day of the week. With notable variability in these calls during periods of intense communication of data and treatment recommendations, there are likely opportunities for specialists in poison information and poison center directors to work together to address variability and overcome barriers to completing initial hospital follow-up calls. Further studies to evaluate variability amongst specialists in poison information are the next steps in understanding this complex topic.
DOI: 10.13145/bacdive24469.20230509.8.1
title: Ensifer meliloti (Dangeard 1926) Young 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24470.20230509.8.1
title: Ensifer meliloti (Dangeard 1926) Young 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24471.20230509.8.1
title: Kaistia hirudinis Glaeser et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24476.20230509.8.1
title: Agrobacterium radiobacter (Beijerinck and van Delden 1902) Conn 1942 emend. Zhang et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.12770/cf5048f6-5bbf-4e44-ba74-e6f429af51ea
title: Surval - Données par paramètre

description: Le produit Surval "Données par paramètre" met à disposition les données d'observation et de surveillance bancarisées dans Quadrige, validées et qui ne sont pas sous moratoire.Ce système d'information contient des résultats sur la plupart des paramètres physiques, chimiques et biologiques de description de l'environnement. Les premières données datent par exemple de 1974 pour les paramètres de la qualité générale des eaux et les contaminants, 1987 pour le phytoplancton et les phycotoxines, 1989 pour la microbiologie, du début des années 2000 pour le benthos. Les données sous moratoire ou les données qualifiées "Faux" sont exclus de la diffusion Surval. Une donnée validée dans Quadrige aujourd’hui sera disponible dans Surval demain.L'accès aux données d'observation se fait par lieu. Un lieu de surveillance est un lieu géographique où des observations, des mesures et/ou des prélèvements sont effectués. Il est localisé de façon unique par son emprise cartographique (surface, ligne ou point). Un lieu de mesure peut être utilisé par plusieurs programmes d'observation et de surveillance.A compter du 29 avril 2021, conformément aux obligations de l’ « Open data », toutes les données validées sans moratoire sont diffusées à J+1 et sans traitement. Ainsi tous les paramètres et tous les programmes Quadrige sont diffusés, et regroupés sous forme de thème :- Benthos dont récifs coralliens- Contaminants chimiques et Écotoxicologie- Déchets- Microbiologie- Phytoplancton et Hydrologie- Ressources aquacoles- Zooplancton- AutresUn thème regroupe un ou plusieurs programmes d'acquisition. Un programme correspond à une mise en œuvre d'un protocole, sur une période et un ensemble de lieux. Chaque programme est placé sous la responsabilité d'un animateur. Pour accompagner le résultat, de nombreuses données sont diffusées (téléchargeables en tant que données d’observation), comme :- la description complète du « Paramètre-Support-Fraction-Méthode-Unité »;- la description complète des « Passages », « Prélèvements » et « Échantillons »;- le niveau de qualification du résultat;- une proposition de citation, afin d’identifier tous les organismes contribuant à cette observation.L'emprise géographique est nationale : la métropole et les départements et régions d'outre-mer (DROM).L'accès au téléchargement direct du jeu de données complet (~ 220 Mo) s'effectue par ce lien :https://www.ifremer.fr/sextant_doc/surveillance_littorale/surval/data/surval.zipL'accès par la carte permet de configurer des extractions et des graphes de visualisation sur demande (email demandé pour le téléchargement).
DOI: 10.13145/bacdive24481.20230509.8.1
title: Rhizobium mongolense subsp. loessense (Wei et al. 2003) Hördt et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17882/101587
title: HYDROMED : Physical & biogeochemical dataset for North-Western Mediterranean Stations

description: HDROMED is a curated dataset built by aggregating and filtering already publicly available data. For a selection of physico-chemical parameters, the resulting dataset only contains measurements where all parameters meet minimal quality requirements. Moreover, only surface measurements for stations located in the north-western Mediterranean area and collected from january 2000 on are considered.
The Jupyter Notebook used to build the dataset is available at https://gitlab.sb-roscoff.fr/future-obs/wp5/hydrochimie-cotier-med
Parameter list
The following parameters are included in the output dataset.
 - Temperature
 - Salinity
 - Nitrates
 - Nitrites
 - Ammonium
 - Phosphates
 - Silicates
 - Chlorophyll a
Source Datasets
Two datasets have been selected as primary sources for measurement data:
 - The dataset provided by the SOMLIT French National Observation Service, and available at https://doi.org/10.17882/100323
 - The dataset provided by the REPHY network, and available at https://doi.org/10.12770/cf5048f6-5bbf-4e44-ba74-e6f429af51ea
Output Dataset
The output dataset columns are defined as follows:
 - SITE : the name of the sampling location
 - DATE : the sampling date
 - LATITUDE : the latitude of the sampling location
 - LONGITUDE : the longitude of the sampling location
Then, for each parameter, three columns are defined, the first one with the actual parameter value, the second one with the quality flag associated to the value, and the third one with a comment relative to the parameter. For the temperature parameter, the columns will be named as follows : T, T_QUALITY, T_COMMENTS.
Some parameters need special attention :
An additional NO2+NO3 parameter is included, as for some measurements no separate values are provided for NO2 and NO3, only the sum of both.
Due to the variety of methods for measuring Chlorophyll A, columns had to be defined reflecting the measurement method :
 - CHLASPECTRO : Chlorphyll A measured using spectrometry
 - CHLAHPLC : Chlorophyll A measured using liquid chromatography
 - CHLAFLUO : Chlorophyll A measured using fluorimetry
 - DVCHLA : Divynil Chlorophyll A
Finally, to more columns are added to explicit measurement provenance:
 - SOURCE : Either SOMLIT or REPHY
 - DOI : The DOI of the landing page where the original dataset was downloaded.
DOI: 10.13145/bacdive24482.20230509.8.1
title: Allorhizobium pseudoryzae (Zhang et al. 2011) Mousavi et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24483.20230509.8.1
title: Rhizobium leucaenae Ribeiro et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24484.20230509.8.1
title: Rhizobium petrolearium Zhang et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24485.20230509.8.1
title: Rhizobium mesoamericanum López-López et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24486.20230509.8.1
title: Ciceribacter lividus Kathiravan et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24487.20230509.8.1
title: Liberibacter crescens Fagen et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24488.20230509.8.1
title: Gemmobacter megaterium Liu et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24489.20230509.8.1
title: Jannaschia aquimarina Park and Yoon 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24490.20230509.8.1
title: Yoonia maricola (Yoon et al. 2007) Wirth and Whitman 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24491.20230509.8.1
title: Loktanella atrilutea Hosoya and Yokota 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24492.20230509.8.1
title: Paracoccus siganidrum Liu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24493.20230509.8.1
title: Phaeobacter gallaeciensis (Ruiz-Ponte et al. 1998) Martens et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24494.20230509.8.1
title: Pseudophaeobacter leonis (Gaboyer et al. 2013) Breider et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24495.20230509.8.1
title: Allosediminivita pacifica (Wu et al. 2013) Hördt et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24496.20230509.8.1
title: Tranquillimonas rosea (Zhang et al. 2014) Hördt et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24498.20230509.8.1
title: Aliiroseovarius halocynthiae (Kim et al. 2012) Park et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24499.20230509.8.1
title: Roseovarius litoreus Jung et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24500.20230509.8.1
title: Roseovarius lutimaris Choi et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24501.20230509.8.1
title: Roseovarius marisflavi Li et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.7g9xku
title: Occurrence Download

description: A dataset containing 17106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Guatteria caribaea Urb., Guatteria heterotricha R.E.Fr., Guatteria rotundata Maas & van Setten, Guatteria verruculosa R.E.Fr., Guatteria blainii (Griseb.) Urb., Guatteria guianensis (Aubl.) R.E.Fr., Guatteria megalophylla Diels, Guatteria inundata Mart., Guatteria galeottiana Baill., Guatteria sessilis R.E.Fr., Guatteria paraënsis R.E.Fr., Guatteria ferruginea A.St.-Hil., Guatteria pogonopus Mart., Guatteria discolor R.E.Fr., Guatteria reflexa R.E.Fr., Guatteria sellowiana Schltdl., Guatteria oligocarpa Mart., Guatteria pohliana Schltdl., Guatteria villosissima A.St.-Hil., Guatteria macropus Mart., Guatteria latisepala R.E.Fr., Guatteria poeppigiana Mart., Guatteria boliviana H.J.P.Winkl., Guatteria polyantha R.E.Fr., Guatteria schunkevigoi D.R.Simpson, Guatteria liesneri D.M.Johnson & N.A.Murray, Guatteria scytophylla Diels, Guatteria stipitata R.E.Fr., Guatteria punctata (Aubl.) R.A.Howard, Guatteria foliosa Benth., Guatteria gracilipes R.E.Fr., Guatteria recurvisepala R.E.Fr., Guatteriopsis ramiflora D.R.Simpson, Guatteria elata R.E.Fr., Guatteria olivacea R.E.Fr., Guatteria inuncta R.E.Fr., Guatteria jefensis Barringer, Guatteria dolichopoda Donn.Sm., Guatteria rigidipes R.E.Fr., Guatteria alutacea Diels, Guatteria tonduzii Diels, Guatteria brevipedicellata R.E.Fr., Guatteria atra Sandwith, Guatteria ouregou (Aubl.) Dunal, Guatteria venezuelana R.E.Fr., Guatteria modesta Diels, Guatteria sessilicarpa Maas & van Setten, Guatteria dumetorum R.E.Fr., Guatteria notabilis Mello-Silva & Pirani, Guatteria amplifolia Triana & Planch., Guatteria latifolia (Mart.) R.E.Fr., Guatteria maypurensis Kunth, Guatteria scandens Ducke, Guatteria subsessilis Mart., Guatteria rupestris Mello-Silva & Pirani, Guatteria brevicuspis R.E.Fr., Guatteria wachenheimii Benoist, Guatteria aeruginosa Standl., Guatteria sphaerantha R.E.Fr., Guatteria pacifica R.E.Fr., Guatteria alata Maas & van Setten, Guatteria chiriquiensis R.E.Fr., Guatteria pudica N.Zamora & Maas, Guatteria oliviformis Donn.Sm., Guatteria allenii R.E.Fr., Guatteria talamancana N.Zamora & Maas, Guatteria alta R.E.Fr., Guatteria elegantissima R.E.Fr., Guatteria pittieri R.E.Fr., Guatteria anomala R.E.Fr.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 17106 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021550-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive24502.20230509.8.1
title: Ruegeria faecimaris Oh et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24503.20230509.8.1
title: Ruegeria halocynthiae Kim et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24504.20230509.8.1
title: Ruegeria conchae Lee et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24505.20230509.8.1
title: Ruegeria intermedia Kämpfer et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24506.20230509.8.1
title: Sulfitobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24507.20230509.8.1
title: Cognatishimia maritima (Park et al. 2012) Wirth and Whitman 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24508.20230509.8.1
title: Shimia haliotis Hyun et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24509.20230509.8.1
title: Rubrimonas shengliensis Cai et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24510.20230509.8.1
title: Donghicola eburneus Yoon et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24511.20230509.8.1
title: Roseibium aggregatum (Uchino et al. 1999) Hördt et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.