cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/pcra-c14-48251
title: Redemption tidings, vol. 25, nos. 1-26, 7 Jan. - 23 Dec. 1949

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries (7 Jan. - 30 Sept. 1940) & We hold the lines (14 Oct. - 23 Dec. 1949) in each issue. Bound with vol. 24.
DOI: 10.15468/dl.vwjpsh
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset's 1 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172909-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj52c3
title: Occurrence Download

description: A dataset containing 41957 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)",
 "Year 2016-2022"
 ]
}

 The dataset includes 41957 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158751-210914110416597/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.30889109
title: Dados de pesquisa - <i>Análise das bibliografias de estudos métricos da informação na graduação em Bibliote</i><i>conomia no Brasil</i>

description: Objetivo: análise de idiomas; análise de ano; publicações mais citadas, divididas por títulos e títulos de periódicos; e estudar as cocitações das bibliografias. Resultados<b>:</b> autora mais citada: Maria Cristina Hayashi; com mais publicações: Adilson Pinto; livro mais citado: Bibliometria: teoria e prática. Elementos mais citados: artigo científico, o idioma português, as décadas de 2000 e 2010 e o periódico analisar as bibliografias dos planos de ensino de disciplinas de estudos métricos da informação, verificando as referências usadas como fonte de pesquisa pelos alunos e suporte bibliográfico pelos professores. Método<b>:</b> corpus da pesquisa composta por 26 planos de ensino, para análise dos autores, obras e o quantitativo de citações, investigação da formação acadêmica; tipo bibliográfico; tipo de autoriaCiência da informação, e as universidade UFR e a UNIR são as que apresentam mais referências conjuntas. Concluões: bibliografia citada aborda perspectivas tradicionais dos estudos métricos
DOI: 10.6084/m9.figshare.30889109.v1
title: Dados de pesquisa - <i>Análise das bibliografias de estudos métricos da informação na graduação em Bibliote</i><i>conomia no Brasil</i>

description: Objetivo: análise de idiomas; análise de ano; publicações mais citadas, divididas por títulos e títulos de periódicos; e estudar as cocitações das bibliografias. Resultados<b>:</b> autora mais citada: Maria Cristina Hayashi; com mais publicações: Adilson Pinto; livro mais citado: Bibliometria: teoria e prática. Elementos mais citados: artigo científico, o idioma português, as décadas de 2000 e 2010 e o periódico analisar as bibliografias dos planos de ensino de disciplinas de estudos métricos da informação, verificando as referências usadas como fonte de pesquisa pelos alunos e suporte bibliográfico pelos professores. Método<b>:</b> corpus da pesquisa composta por 26 planos de ensino, para análise dos autores, obras e o quantitativo de citações, investigação da formação acadêmica; tipo bibliográfico; tipo de autoriaCiência da informação, e as universidade UFR e a UNIR são as que apresentam mais referências conjuntas. Concluões: bibliografia citada aborda perspectivas tradicionais dos estudos métricos
DOI: 10.6084/m9.figshare.29925167
title: Wiwîp’son Healing Swing

description: This repository contains materials from the Wîwîp’son project, a community-led collaboration exploring the healing swing (Wîwîp’son) together with wellness, and scientific inquiry. Guided by nehiyaw (Cree) knowledge and ceremony, the project combined Indigenous and experimental research approaches to study how swinging influences brain and body states related to calmness, stress, and healing.The collection includes posters, images, ethics documentation, and research outputs that document the collaborative process, the integration of qualitative testimonies and physiological data, and the presentation of results at community and academic gatherings. These resources reflect an effort to honor Indigenous knowledge systems while engaging with scientific methods to better understand how traditional practices support holistic health.
DOI: 10.6084/m9.figshare.29925167.v1
title: Wiwîp’son Healing Swing

description: This repository contains materials from the Wîwîp’son project, a community-led collaboration exploring the healing swing (Wîwîp’son) together with wellness, and scientific inquiry. Guided by nehiyaw (Cree) knowledge and ceremony, the project combined Indigenous and experimental research approaches to study how swinging influences brain and body states related to calmness, stress, and healing.The collection includes posters, images, ethics documentation, and research outputs that document the collaborative process, the integration of qualitative testimonies and physiological data, and the presentation of results at community and academic gatherings. These resources reflect an effort to honor Indigenous knowledge systems while engaging with scientific methods to better understand how traditional practices support holistic health.
DOI: 10.1594/pangaea.928556
title: Geochemistry of Vallee (BS3A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.928631
title: Geochemistry of Morts (HP2A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.928552
title: Geochemistry of Baie (BC2A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.928562
title: Geochemistry of Red Bay (BS1A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.935097
title: Age determination of Vallee (BS3A) peat core from Canada

description: 14C and 210Pb age determination of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.935094
title: Age determination of Baie (BC2A) peat core from Canada

description: 14C and 210Pb age determination of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.935096
title: Age determination of Lebel (BC1A) peat core from Canada

description: 14C and 210Pb age determination of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.oject.
DOI: 10.1594/pangaea.926582
title: Spatiotemporal variation in pCO₂, CH₄, N₂O, DOM, and ancillary water quality measured in the Ganges, Mekong, and Yellow River during 2016 to 2019

description: Despite growing research on greenhouse gas (GHG) emissions from inland waters, few systematic efforts have been made to assess the regional-scale GHG emissions from Asian rivers under increasing anthropogenic stress. We examined factors controlling longitudinal and seasonal variations in the partial pressure of CO₂ (pCO₂), and CH₄ and N₂O concentrations in the Ganges, Mekong, and Yellow River (Huang He) by simultaneously measuring gas concentrations and stable C isotopes, and optical properties of dissolved organic matter (DOM) from 2016 to 2019. The levels of pCO₂ and CH₄ were distinctively higher in polluted tributaries and affected reaches of the Ganges and Mekong than in the Yellow River. The highest levels of N₂O were found in the Ganges, followed by Yellow River and Mekong. Across these basins, dry-season mean concentrations of CO₂, CH₄, and N₂O were 1.6, 2, and 7 times higher than those measured in the monsoon season, respectively. This seasonality was consistent with that of δ¹³C-CO₂, while δ¹³C-CH₄ showed an opposite pattern. The overall results suggest that neglecting localized pollution impacts on GHG emissions from increasingly urbanized river basins can result in inaccurate estimates of global riverine GHG emissions.
description: The air-water gas flux (F) of CO₂, CH₄, and N₂O was calculated according to the equation F = k ΔC, where k is the gas transfer velocity and ΔC is the air-water gas concentration gradient (Lauerwald et al., 2015). To estimate k, we used a range of k normalized to a Schmidt number of 600 (k600) estimated for global small and large rivers by Lauerwald et al. (2015): 6.61-8.64 m/day for the tributaries and wastewater drains; 3.49-4.41 m/day for the river mainstems.The actual gas transfer velocity kactual was estimated from k600 and the measured water temperature (Raymond et al., 2012). The fluxes of CO₂, CH₄, and N₂O (mg/m²day) were calculated from the estimated kactual and measured ΔC values.FCO₂-min, FCH₄-min, and FN2O-min were calculated using the lower range of k valuesk = 3.49 for mainstem river (i.e., upper, middle, and lower reaches)k = 6.61 for tributary and wastewaterFCO₂-max, FCH₄-max, and FN₂O-max were calculated with upper range of k valuesk = 4.41 for mainstem river (i.e., upper, middle, and lower reaches)k = 8.64 for tributary and wastewaterThe three fluorescent dissolved organic matter (FDOM) components from parallel factor (PARAFAC) analysis with 126 samples are defined as C1 (humic like), C2 (microbial humic like), and C3 (protein like).
DOI: 10.1594/pangaea.930184
title: Calibrated ages of Morts (HP2A) peat core from Canada

description: Calibrated ages of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.183606
title: Satellite images of the Black Sea (years 1996, 1998-2000, 2002)
DOI: 10.1594/pangaea.963570
title: Benthic foraminifera of ODP Site 121-758
DOI: 10.1594/pangaea.963569
title: Benthic foraminifera of ODP Site 22-217
DOI: 10.1594/pangaea.143819
title: Satellite image of the Aegian Sea and the southwestern Black Sea (year 2003)
DOI: 10.1594/pangaea.983388
title: PortMeteO optical particle counter measurements during METEOR cruise M208

description: WARNING: We are currently investigating a possible issue with this dataset that might stem from problems with the device itself or issues during the postprocessing. Please contact Sebastian Wahl prior to using this dataset.This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M208 from Mindelo, Cabo Verde (Feb 13th, 2025) to Mindelo, Cabo Verde (March 17th, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks.The windlidar, flat plate sampler, optical particle counter and ceilometer were operated 24/7 while the sun photometers were used at regular intervals during the day whenever clear sky conditions prevailed. Radiosondes were operated at regular intervals between February 19th and March 15th, 2025. Radiosonde launches vary between one every 24h and launches every 3h during dust events or when low-level jets were expected to form.
description: Optical particle counter from Grimmcruise_date-C.dat: raw particle counts ordered by size bincruise_date-dM.dat: particle mass [micrograms/m3] per size bincruise_date-L.dat: position and standard meteorological datacruise_date-M.dat: particle mass [micrograms/m3] in standard particulate matter size bins (TSP, PM10, PM2.5, PMCoarse, ...) as defined by WMO and other public bodies.
DOI: 10.1594/pangaea.982842
title: Global sectoral groundwater withdrawal: estimates and uncertainty analysis

description: Groundwater, Earth's largest source of liquid freshwater, is vital for sustaining ecosystems and meeting societal needs. However, quantifying global groundwater withdrawals remains a challenge due to significant uncertainties. This dataset provides global groundwater withdrawal estimates from 2001 to 2020, derived using the data-driven Global Groundwater Withdrawal (GGW) model. The GGW model estimates annual groundwater withdrawals across domestic, industrial, and agricultural sectors at a 0.1° spatial resolution. Implemented in Python, it integrates reported country-level data with global grid-based datasets to generate sectoral withdrawal estimates. Additionally, this dataset includes an uncertainty assessment based on key input variables, such as total country-level withdrawals, sector-specific fractions, European sectoral data, irrigation efficiency, and return flow fractions. The uncertainty analysis employs Latin Hypercube Sampling (LHS), with 1000 Monte Carlo simulations to quantify variability.
description: Source "Global Human Settlement Layer: Population and built-up estimates, and degree of urbanization settlement model grid (Version 1.00)" last accessed: 2025-08-06
DOI: 10.1594/pangaea.930121
title: Calibrated ages of Lebel (BC1A) peat core from Canada

description: Calibrated ages of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.936579
title: Age determination of Morts (HP2A) peat core from Canada

description: 14C and 210Pb age determination of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.928584
title: Geochemistry of Plaine (HP1A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.936500
title: Age determination of Red Bay (BS1A) peat core from Canada

description: 14C and 210Pb age determination of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.928555
title: Geochemistry of Lebel (BC1A) peat core from Canada

description: Geochemistry data of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.930133
title: Calibrated ages of Red Bay (BS1A) peat core from Canada

description: Calibrated ages of a high-resolution peat core from the Past Global Changes - Carbon in Peat on EArth through Time (PAGES_C-PEAT) Project.
DOI: 10.1594/pangaea.183614
title: Satellite images of the Western Mediterranean and the Gulf of Lions (years 1989, 1994, 1997, 1999, 2001-2003)
DOI: 10.1594/pangaea.971587
title: Absorption coefficients by coloured dissolved organic matter from the East Greenland Sea measured underway with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS107

description: Water samples were taken during East Greenland expedition PS107 with RV Polarstern from 24 July to 18 August 2017. Water samples were collected from the ship's seawater supply pumped through teflon tubing from about 11m depth during underway as described in Liu et al (2018a). The same water samples were measured as in Liu et al. (2081b, 2019). Water samples for CDOM absorption analysis were filtered through 0.2 µm filters and analysed onboard with a 2 m path length liquid waveguide capillary cell system (LWCC, WPI) following Levering et al. (2017). Details on method adaptation to our instrumentation set-up are provided in Alvarez et al. (2022). Salinity data were extracted from https://doi.pangaea.de/10.1594/PANGAEA.889535.
DOI: 10.5281/zenodo.17280683
title: Complete data set for seed germination experiment with Lasthenia californica, L. fremontii, and L. glaberrima

description: Complete data set of seed germination and viability from:

Van Den Elzen, C.L. and N.C. Emery. 2025. Recruitment in variable environments: plasticity and bet hedging in the timing of seed germination in three closely related species. Annals of Botany.

Abbreviations used in data spreadsheet:

   


Code in data sheet
Full name
Explanation


G
germinated
seed germinated during the experiment


MS
missing seed
seed went missing during th experiment


NV
not viable
seed was dissected at the end of the experiment but the embryo had no reaction to tetrazolium or only partial staining occurred


MO
moldy
seed became moldy and was removed from the experiment


R
ruined
embryo was ruined on dissection


NE
no embryo
no embryo present on dissection


V
viable
embryo present on dissetion and had a positive reaction to tetrazolium (full staining)


MD
missing data
no data written into the data sheet or data written in was not valid.




Data tables:



2021_Germination_Study_Survey_Data.csv: raw germination timing data.

2020_germexp_seed_mass_ds_gla.csv: raw L. glaberrima seed mass data.

2020_germexp_seed_mass_ds_cal.csv: raw L. californica seed mass data.

2020_germexp_seed_mass_ds_fre.csv: raw L. fremontii seed mass data.

germination_timing_conversion_table.csv: key for germination date correction using germinant size class.

germ_mass_dat_germinants.csv: cleaned germination and seed mass data for import to SAS.

GermTiming_Variances.csv: SAS export of model variance values for plotting of model results.

GermTiming_Means.csv: SAS export of model mean values for plotting of model results.


Scripts:



data_cleaning.R: takes raw data files (see above), cleans the data, corrects germination dates using germinant size class, and exports the clean data for use in SAS modelling.

Van Den Elzen and Emery_2025_Annals-of-Botany_SAS-heterogeneous-variance-code.docx: SAS statsitical modeling code, starting from clean data.

figure_code.R: code to create all data figures in the manuscript (figures 2-4). Figures 3 and 4 are created using SAS model result export tables (see above).
DOI: 10.5281/zenodo.17280684
title: Complete data set for seed germination experiment with Lasthenia californica, L. fremontii, and L. glaberrima

description: Complete data set of seed germination and viability from:

Van Den Elzen, C.L. and N.C. Emery. 2025. Recruitment in variable environments: plasticity and bet hedging in the timing of seed germination in three closely related species. Annals of Botany.

Abbreviations used in data spreadsheet:

   


Code in data sheet
Full name
Explanation


G
germinated
seed germinated during the experiment


MS
missing seed
seed went missing during th experiment


NV
not viable
seed was dissected at the end of the experiment but the embryo had no reaction to tetrazolium or only partial staining occurred


MO
moldy
seed became moldy and was removed from the experiment


R
ruined
embryo was ruined on dissection


NE
no embryo
no embryo present on dissection


V
viable
embryo present on dissetion and had a positive reaction to tetrazolium (full staining)


MD
missing data
no data written into the data sheet or data written in was not valid.




Data tables:



2021_Germination_Study_Survey_Data.csv: raw germination timing data.

2020_germexp_seed_mass_ds_gla.csv: raw L. glaberrima seed mass data.

2020_germexp_seed_mass_ds_cal.csv: raw L. californica seed mass data.

2020_germexp_seed_mass_ds_fre.csv: raw L. fremontii seed mass data.

germination_timing_conversion_table.csv: key for germination date correction using germinant size class.

germ_mass_dat_germinants.csv: cleaned germination and seed mass data for import to SAS.

GermTiming_Variances.csv: SAS export of model variance values for plotting of model results.

GermTiming_Means.csv: SAS export of model mean values for plotting of model results.


Scripts:



data_cleaning.R: takes raw data files (see above), cleans the data, corrects germination dates using germinant size class, and exports the clean data for use in SAS modelling.

Van Den Elzen and Emery_2025_Annals-of-Botany_SAS-heterogeneous-variance-code.docx: SAS statsitical modeling code, starting from clean data.

figure_code.R: code to create all data figures in the manuscript (figures 2-4). Figures 3 and 4 are created using SAS model result export tables (see above).
DOI: 10.15468/dl.bx3br3
title: Occurrence Download

description: A dataset containing 452750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Xeno-canto - Bird sounds from around the world, The birds collection (ZO) of the Muséum national d'Histoire Naturelle (MNHN - Paris), Observation.org, Nature data from around the World, Birda - Global Observation Dataset, Rapid Assessment Program (RAP) Biodiversity Survey Database, GalliForm: Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800-2008, KUBI Ornithology Collection, NABU|naturgucker)",
 "Geometry POLYGON((105.7848 8.76059,106.90256 9.63378,107.00132 10.01047,106.95842 10.32189,106.82659 10.47749,106.50526 10.8285,106.40474 10.90497,106.32098 10.99557,106.10676 11.19042,105.95186 11.28013,106.03096 11.47398,106.3078 11.68062,106.32098 11.70643,106.26823 11.96665,106.18014 12.39053,106.17816 12.39757,106.12618 12.59124,105.52085 13.11778,105.2145 13.01742,104.83796 12.68004,104.83599 12.6857,104.80583 12.64711,104.71735 12.60852,104.21305 12.47984,103.36891 12.08053,103.31662 11.52565,103.31256 11.51254,103.33315 10.84024,103.56578 10.49045,103.76366 10.24407,103.97459 9.63378,104.75306 8.26158,105.7848 8.76059))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 1f00d75c-f6fc-4224-a595-975e82d7689c, 2cd829bb-b713-433d-99cf-64bef11e5b3e, 0c6d40e3-5d96-4a2d-9342-b02833aaa766, 335880a0-e2e1-11dd-8102-b8a03c50a862, 2963d877-8230-45bd-a223-544376275120, b554c320-0560-11d8-b851-b8a03c50a862, bb646dff-a905-4403-a49b-6d378c2cf0d9)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 452750 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054132-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.971585
title: Absorption coefficients by coloured dissolved organic matter from the East Greenland Sea measured at fixed stations with a Liquid Waveguide Capillary Cell system during POLARSTERN cruise PS107

description: Water samples were taken during East Greenland Sea expedition PS107 with RV Polarstern from 26 July to 14 August 2017. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m. The same water samples were measured as in Liu et al. (2018) and Lui et al. (2019). Water samples for CDOM absorption analysis were filtered through 0.2 µm filters and analysed onboard with a 2 m length liquid waveguide capillary cell system (LWCC, WPI) following Levering et al. (2017). Details on method adaptation to our instrumentation set-up are provided in Alvarez et al. (2022). Salinity data were taken using SeaBird 911-plus CTD (Conductivity-Temperature-Depth) mounted on the SBE 32 Carousel Water Sampler (Rosette) equipped with 24 Niskin Bottles (12-L capacity). CTD data were also quality checked using salinity measured from water samples and analysed in laboratory with Autosal Salinometer Guildine 8400B. Extrapolated data were used from CTD downcasts based on data at depths where also water samples were taken.