cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.21656348
title: The PERUSANO study: food consumption and nutrient datasets for infants and young children (6-23m)

description: The PERUSANO cross-sectional quantitative survey was conducted amongst low-income mothers and their infants in Peru, from December 2019 to March 2020. This survey is part of a wider interdisciplinary project that aims to address multiple forms of malnutrition in Peru. <br> The study took place in two peri-urban areas: Manchay in Lima and Huánuco district in the Andean highlands (~ 1900m above sea level). <br> In each study area, we purposively selected the principal health centre and one subsidiary health centre. Peri-urban communities under the jurisdiction of these health centres were then selected to participate. A purposive quota sampling was employed to recruit mothers with children aged 6-23 months, with equal numbers across age groups (6-11, 12-17 and 18-23 months) and study site (Manchay/Huánuco district). The target sample size was 360 mother-infant dyads. Recruitment stopped in March 2020 due to the COVID-19 pandemic, at which point 244 mother-infant dyads had been recruited and no further recruitment took place. Additional information on sampling can be found elsewhere (Pradeilles et al., 2022). <br> Data in the dataset (English only) include a food consumption dataset (long format) and nutrient dataset (wide format) for n=242 infants and young children. A dictionary of variables is available in English only for both datasets. A protocol describing the data collection, management and calculation of dietary/nutrient intakes is also available. <br> The survey questionnaire is available in English and Spanish language at 10.17028/rd.lboro.18750458. The rest of the survey data is available in English only at 10.17028/rd.lboro.16691455.
DOI: 10.17028/rd.lboro.21656348.v1
title: The PERUSANO study: food consumption and nutrient datasets for infants and young children (6-23m)

description: The PERUSANO cross-sectional quantitative survey was conducted amongst low-income mothers and their infants in Peru, from December 2019 to March 2020. This survey is part of a wider interdisciplinary project that aims to address multiple forms of malnutrition in Peru. <br> The study took place in two peri-urban areas: Manchay in Lima and Huánuco district in the Andean highlands (~ 1900m above sea level). <br> In each study area, we purposively selected the principal health centre and one subsidiary health centre. Peri-urban communities under the jurisdiction of these health centres were then selected to participate. A purposive quota sampling was employed to recruit mothers with children aged 6-23 months, with equal numbers across age groups (6-11, 12-17 and 18-23 months) and study site (Manchay/Huánuco district). The target sample size was 360 mother-infant dyads. Recruitment stopped in March 2020 due to the COVID-19 pandemic, at which point 244 mother-infant dyads had been recruited and no further recruitment took place. Additional information on sampling can be found elsewhere (Pradeilles et al., 2022). <br> Data in the dataset (English only) include a food consumption dataset (long format) and nutrient dataset (wide format) for n=242 infants and young children. A dictionary of variables is available in English only for both datasets. A protocol describing the data collection, management and calculation of dietary/nutrient intakes is also available. <br> The survey questionnaire is available in English and Spanish language at 10.17028/rd.lboro.18750458. The rest of the survey data is available in English only at 10.17028/rd.lboro.16691455.
DOI: 10.6073/pasta/048bf1929ec36f47aed8bf8b92ef35f0
title: Canopy damage and recovery following Hurricane Maria using multitemporal lidar data, Mar-2017 - Mar-2020, Puerto Rico

description: The data archive is here: http://dx.doi.org/10.15486/ngt/1797399 please use this DOI when citing this dataset. Hurricane Maria (Category 4) snapped and uprooted canopy trees, removed large branches, and defoliated vegetation across Puerto Rico. The magnitude of forest damages and the rates and mechanisms of forest recovery following Maria provide important benchmarks for understanding the ecology of extreme events. We used airborne lidar data acquired before (2017) and after Maria (2018, 2020) to quantify landscape-scale changes in forest structure along a 439-ha elevational gradient (100 to 800 m) in the Luquillo Experimental Forest. Damages from Maria were widespread, with 73% of the study area losing ≥1 m in canopy height (mean = -7.1 m). Taller forests at lower elevations suffered more damage than shorter forests above 600 m. Yet only 13% of the study area had canopy heights ≤2 m in 2018, a typical threshold for forest gaps, highlighting the importance of damaged trees and advanced regeneration on post-storm forest structure. Heterogeneous patterns of regrowth and recruitment yielded shorter and more open forests by 2020. Nearly 45% of forests experienced initial height loss (&lt;-1 m, 2017-2018) followed by rapid height gain (&gt;1 m, 2018-2020), whereas 21.6% of forests with initial height losses showed little or no height gain, and 17.8% of forests exhibited no structural changes &gt;|1| m in either period. Canopy layers &lt;10 m accounted for most increases in canopy height and fractional cover between 2018-2020, with gains split evenly between height growth and lateral crown expansion by surviving individuals. These findings benchmark rates of gap formation, crown expansion, and canopy closure following hurricane damage. Included in the attached zip file are four TIF and four KML files. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.48331/scielo.j7bixo/kzwozs
title: scielo-preprints_alex-mendonca.pptx

description: :unav
DOI: 10.48331/scielo.j7bixo
title: SciELO Preprints

description: Apresentação de Alex Mendonça realizada na Reunião Anual SciELO 2022.
DOI: 10.48331/scielo.kv4vuj/vd3gh3
title: scielo-livros_amanda-ramalho.pptx

description: :unav
DOI: 10.48331/scielo.kv4vuj
title: SciELO Livros

description: Apresentação de Amanda Ramalho realizada na Reunião Anual SciELO 2022.
DOI: 10.48331/scielo.i3lljf/szsf25
title: politica-editorial-dei_cristina-wolff.pptx

description: :unav
DOI: 10.48331/scielo.i3lljf
title: Desafios para a implantação de uma política editorial centrada em impacto, diversidade, equidade e inclusão

description: Apresentação de Profa. Dra. Cristina Scheibe Wolff realizada na Reunião Anual SciELO 2022.
DOI: 10.5281/zenodo.7430511
title: Synthetic brain tumor MRI samples - 2022-test

description: Synthetic brain tumor MRI samples - 2022-test
DOI: 10.48331/scielo.vdtmbk/y7zyxs
title: plataforma-tecnologica_roberta-takenaka.pptx

description: :unav
DOI: 10.5281/zenodo.7430510
title: Synthetic brain tumor MRI samples - 2022-test

description: Synthetic brain tumor MRI samples - 2022-test
DOI: 10.48331/scielo.vdtmbk
title: Registro das práticas de Ciência Aberta nos artigos

description: Apresentação de Roberta Takenaka realizada na Reunião Anual SciELO 2022.
DOI: 10.48331/scielo.kzw4lk/eswas1
title: market-place_luis-gomes.pptx

description: :unav
DOI: 10.48331/scielo.kzw4lk
title: SciELO Marketplace

description: Apresentação de Luis Gomes realizada na Reunião Anual SciELO 2022.
DOI: 10.48331/scielo.n8a4yk/76dgma
title: criterios-scielo-br_denise-peres.pptx

description: :unav
DOI: 10.48331/scielo.n8a4yk
title: Critérios SciELO Brasil

description: Apresentação de Denise Peres realizada na Reunião Anual SciELO 2022.
DOI: 10.57745/de2eyg
title: sowell.csv.zip

description: Database (format CSV)
DOI: 10.57745/pogrbe
title: sowell.sql.zip

description: Database (format SQL)
DOI: 10.57745/ogrcjs
title: Supplementary material.pdf

description: Description of the DATABASE SOWELL
DOI: 10.6073/pasta/03782b774a4080de0ed2d8a623dddf59
title: LEF Sabana weather station from 2018

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0030 please use this DOI when citing this dataset. This data publication contains 1 hour values for field data from the weather station at Sabana Field Station, on top of a scaffold tower in the Luquillo Experimental Forest (El Yunque National Forest), Puerto Rico collected from 2018 through 2020. The weather station collects solar radiation, photosynthetically active radiation (PAR), air temperature, air relative humidity, precipitation, barometric pressure, and wind (speed and direction broken down to octants with a wind rose). The weather data have been recorded at the Sabana Field station since 2001; this is the third location of the weather station. The weather station was located on the laboratory roof from 2001-2007, and a demonstrative weather station existed 2007-2018. This newer weather station’s data should not be directly compared to the previous weather stations, as it is in a different location. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/5d90af6c9ea2073f39c5a9333629c01b
title: Luquillo Experimental Forest Canopy Trimming Experiment CTE2 2015-2020 30-minute abiotic data

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0028 please use this DOI when citing this dataset. This data publication contains 30-minute values for abiotic field data from 3 treated and 3 control plots from the Canopy Trimming Experiment (CTE) located near El Verde Field Station in the Luquillo Experimental Forest (El Yunque National Forest), Puerto Rico collected from 2015 through 2020. In December of 2014 (CTE2), in 0.09 hectare (ha) square plots near the El Verde Field Station the forest canopy was trimmed and the canopy debris was littered to the forest floor. The plot size and trim amounts were based on the patch disturbance after the two most recent hurricanes before 2017, both category 3 hurricanes at the location of El Verde: Hugo in September 1989, and Georges in September 1998. Data were collected in the inner 0.04 ha quadrants of the 0.09 ha trimmed plots to minimize edge effects. Each plot was made up of 16 subplots with different data types collected in each subplot. There were 3 sets of control and treated plots, with each set near El Verde field station. Field data include 30-minute: solar radiation, soil profile volumetric water content, shallow soil volumetric water content, canopy leaf saturation, litter leaf saturation, air temperature, soil temperature, air relative humidity, vapor pressure, and throughfall. Field data were collected by one automatic sensor in each plot inside a designated subplot, except: soil profile volumetric water content, canopy leaf saturation, and litter leaf saturation; each were collected in three subplots. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.34740/kaggle/dsv/4722647
title: Icecream Data
DOI: 10.17031/6399e05e12983
title: North Atlantic CPR taxa data from 2019 to 2020

description: Matlab files, containing one timetable of CPR taxa data for the North Atlantic years 2019 and 2020, and one table showing the taxa names listed. Counting method 1= eye count, 2 = traverse, 3 = phytoplankton. Plankton abundance counts are recorded according to standard CPR methodology, see Richardson et al. (2006, Prog in Oceanog 68. 27-74).
DOI: 10.5281/zenodo.7428261
title: The mass fallback rate in relativistic stellar tidal disruption events

description: MESA inlist files for the paper "The mass fallback rate in relativistic stellar tidal disruption events". Versions 15140 of MESA and MESA SDK 20.3.1 were used for the simulations. More details are in the README.txt file and in the paper.
DOI: 10.5281/zenodo.7428262
title: The mass fallback rate in relativistic stellar tidal disruption events

description: MESA inlist files for the paper "The mass fallback rate in relativistic stellar tidal disruption events". Versions 15140 of MESA and MESA SDK 20.3.1 were used for the simulations. More details are in the README.txt file and in the paper.
DOI: 10.6073/pasta/557e95ba5598ced49f35b87a42edd605
title: Rainfall and ion composition data from multiple weather stations along an elevation gradient in northeastern Puerto Rico (2009-2018)

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0013 please use this DOI when citing this dataset. Rainfall and ionic composition data were collected at 21 sites along the elevational gradient of the Luquillo Mountains, in Puerto Rico. Stations were selected along the east coast of the island and follow the steep slope of the mountains until the highest peaks. Rainfall data were collected every two weeks and are provided in this data publication as monthly rainfall from January 2009 through May 2019. Also included are pH and conductivity which are provided monthly starting roughly in November 2011 and continue through May 2019. Monthly ionic composition data from rainwater samples collected during the last two weeks of each month are also included from January 2009 through December 2017. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.15468/dl.a5dnjk
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris (Linnaeus, 1758)"
 ]
}

 The dataset's 2 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021706-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekd7qf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica reversa Pillans"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078480-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k66ng
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picrophloeus javanensis Blume"
 ]
}

 The dataset includes 408 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078481-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4qmbg
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica rigida Eckl. & Zeyh."
 ]
}

 The dataset includes 69 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078483-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw8rz9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picrophloeus rugulosus (K.M.Wong & Sugau) K.M.Wong"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078484-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msaxc3
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picrorhiza kurroa Royle ex Benth."
 ]
}

 The dataset includes 155 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078486-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqmjet
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica rigidifolia Sond."
 ]
}

 The dataset includes 174 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078485-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qe8npx
title: Occurrence Download

description: A dataset containing 506865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum aviculare L."
 ]
}

 The dataset includes 506865 records from 2922 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078472-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive23889.20170829.2
title: Deinococcus humi Srinivasan 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/bacdive23890.20170829.2
title: Brachybacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23891.20170829.2
title: Brachybacterium huguangmaarense 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/bacdive23892.20170829.2
title: Dermabacter hominis Jones and Collins 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23893.20170829.2
title: Desulfatiferula berrensis Hakil 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/bacdive100075.20170829.2
title: Pediococcus acidilactici

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100076.20170829.2
title: Pediococcus acidilactici

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100077.20170829.2
title: Pediococcus acidilactici

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100078.20170829.2
title: Pediococcus acidilactici

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100079.20170829.2
title: Acholeplasma laidlawii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100080.20170829.2
title: Acholeplasma laidlawii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100081.20170829.2
title: Acholeplasma laidlawii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive100082.20170829.2
title: Acholeplasma laidlawii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21773.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21774.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21775.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21776.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21777.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21778.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21779.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22490.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22491.20170829.2
title: Herpetosiphon sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22492.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22493.20170829.2
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive22494.20170829.2
title: Nannocystis exedens

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