cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.m63xsj48m
title: Data from: Myriospora molybdina comb. nov. and the identity of Acarospora hysgina

description: The nomenclature and taxonomy of Acarospora molybdina is revised using
 morphological and molecular data. The new combination Myriospora molybdina
 is proposed and Acarospora hysgina is recognized as a distinct species
 while A. brunneola is reduced to synonymy with A. hysgina. In its new
 circumscription Myriospora molybdina is an arctic species, in Scandinavia
 only occurring in northernmost Norway. Further localities are reported
 from Greenland, Russia, Svalbard and the U.S.A (Alaska). Acarospora
 hysgina is the correct name for populations distributed along the west
 coast of Sweden and Norway, formerly thought to belong to A. molybdina.
 Localities are also reported from Canada (New Brunswick), Greenland and
 the U.S.A. (Maine). The following names are lectotypified; Acarospora
 brunneola, Acarospora molybdina var. confusa, Lecanora ereutica β
 microcyclos, Parmelia ereutica, P. hysgina and P. molybdina.
description: DNA was extracted from recently collected material or from dried
 herbarium specimens. Total DNA was extracted using the Qiagen DNEasy Plant
 Minikit, according to the manufacturer’s instructions. Selected markers
 for this study were the internal transcribed spacer complete repeat (ITS)
 and the large subunit of the nuclear ribosomal DNA (nrLSU), the small
 subunit of the mitochodrial ribosomal DNA (mrSSU), and the coding sequence
 of the β-tubulin gene (BT). PCR-amplification, purification and sequencing
 was performed using the same primers and methods as in Westberg et al.
 (2015, Fung. Diversity 73: 145–158).
description: # Data from: ***Myriospora molybdina*** comb. nov. and the identity of
 *Acarospora hysgina* The
 paper contains two phylogenetic analyses of the same alignment, one
 Bayesian analysis using MrBayes 3.2.7a and one maximum likelihood analysis
 using IQTREE 2.0.7. The files included are the files used for the analysis
 in the associated publication. ## Description of the data and file
 structure Alignment_for_MrBayes.nex This the file used for the Bayesian
 analysis in the associated publication. At the end of this file, the
 settings for this analysis with partitioning scheme, priors etc. are
 included. Alignment_for_IQTREE2.fasta This is the first of two files used
 for the maximum likelihood analysis in the associated publication,
 containing the sequence alignment. Partitioning_scheme_for_IQTREE2.nex
 This is the second of two files used for the maximum likelihood analysis
 in the associated publication, contaning the partitioning scheme.
DOI: 10.5281/zenodo.18403184
title: SuperDARN data in netCDF format (2006-Sep)

description: 2006-Sep SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6631576
title: SuperDARN data in netCDF format (2006-Sep)

description: 2006-Sep SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5061/dryad.wdbrv15w1
title: Data from: Improper data practices erode the quality of global ecological databases and impede the progress of ecological research

description: The scientific community has entered an era of big data. However, with big
 data comes big responsibilities, and best practices for how data are
 contributed to databases have not kept pace with the collection,
 aggregation, and analysis of big data. Here, we rigorously assess the
 quantity of data for specific leaf area (SLA) available within the largest
 and most frequently used global plant trait database, the TRY Plant Trait
 Database, exploring how much of the data were applicable (i.e., original,
 representative, logical, and comparable) and traceable (i.e., published,
 cited, and consistent). Over three-quarters of the SLA data in TRY either
 lacked applicability or traceability, leaving only 22.9% of the original
 data usable compared to the 64.9% typically deemed usable by standard data
 cleaning protocols. The remaining usable data differed markedly from the
 original for many species, which led to altered interpretation of
 ecological analyses. Though the data we consider here make up only 4.5% of
 SLA data within TRY, similar issues of applicability and traceability
 likely apply to SLA data for other species as well as other commonly
 measured, uploaded, and downloaded plant traits. We end with suggested
 steps forward for global ecological databases, including suggestions for
 both uploaders to and curators of databases with the hope that, through
 addressing the issues raised here, we can increase data quality and
 integrity within the ecological community.
description: SLA data was downlaoded from TRY (traits 3115, 3116, and 3117)
 for all conifer (Araucariaceae, Cupressaceae, Pinaceae, Podocarpaceae,
 Sciadopityaceae, and Taxaceae), <em>Plantago</em>,
 <em>Poa</em>, and <em>Quercus</em> species. The
 data has not been processed in any way, but additional columns have been
 added to the datset that provide the viewer with information about where
 each data point came from, how it was cited, how it was measured, whether
 it was uploaded correctly, whether it had already been uploaded to TRY,
 and whether it was uploaded by the individual who collected the
 data.
description: There are two additional documents associated with this publication. One
 is a word document that includes a description of each of the 120 datasets
 that contained SLA data for the four plant groups within the study
 (conifers, Plantago, Poa, and Quercus). The second is an excel document
 that contains the SLA data that was downloaded from TRY and all associated
 metadata. Missing data codes: NA and N/A
DOI: 10.5061/dryad.79cnp5j31
title: Data from: novel associations among insect herbivores and trees: drivers of occurrence and damage on pines and eucalypts

description: List of novel associations between insects and pine and eucalypt trees
 recorded in these study. We detail characteristics of the insect species
 involved in each novel association, indicating their order, family,
 subfamily species, native biogeographic region, non-native biogeographic
 where it has established, feeding guild, specificity in host use, and
 impact. We also detail the biogeographic region where the novel
 association was reported, the novel association type, the pine and
 eucalypt novel host involved in the association, and the phylogenetic
 relatedness between ancient and novel hosts both for pines and eucalypts.
description: # Record of novel associations between insect and tree
 [https://doi.org/10.5061/dryad.79cnp5j31](https://doi.org/10.5061/dryad.79cnp5j31) ## Description of the data and file structure List of novel associations between insects and pine and eucalypt trees recorded in these study. We detail characteristics of the insect species involved in each novel association, indicating their order, family, subfamily species, native biogeographic region, non-native biogeographic where it has established, feeding guild, specificity in host use, impact and the tree condition (living, living -daying or dead- and dead; Information not available is indicated as N/A and '-'). We also detail the biogeographic region where the novel association was reported, the novel association type, the pine and eucalypt novel host involved in the association, and the phylogenetic relatedness between ancient and novel hosts both for pines and eucalypts. Colors were assigned for the insect species involved: two new associations (orange), three new associations (yellow), four new associations (pink), and five new associations (green).
DOI: 10.5061/dryad.kkwh70sb8
title: Nitrogen inputs suppress plant diversity by overriding consumer control

description: Anthropogenic nitrogen (N) deposition presents a global threat with
 significant ramifications for ecosystem functions. In terrestrial
 ecosystems, N-deposition is predicted to increase plant productivity but
 reduce diversity by bolstering dominant plants that suppress subordinate
 species. However, herbivores are predicted to offset these effects by
 consuming excess biomass produced by N-deposition. This archive contains
 data from a multifactorial field experiment in a grassland ecosystem
 showing that N-addition can actually eliminate rather than enhance
 top-down control by herbivores to impact plant biomass and diversity.
description: These data were collected in the field over three years to
 represent conditions in experimental nitrogen and embedded grasshopper
 treatments. Data are organized into four files to represent metrics
 related to 1) plant communities (measured in grasshopper mesocosms) 2) and
 3) arthropod surveys (two separate efforts, measured in nitrogen treatment
 plots); and 4) traits pertinent to plants, arthropods, and their
 interactions (measured in nitrogen treatment plots). The sampling design
 varied with the variable assessed, as described in detail in the Methods
 section of the publication. Data are organized into four datafiles
 described further in the Methods and in the README tab associated with
 each datafile.
description: # Nitrogen inputs suppress plant diversity by overriding consumer control
 [https://doi.org/10.5061/dryad.kkwh70sb8](https://doi.org/10.5061/dryad.kkwh70sb8) ## Description of the data and file structure This dataset is organized into four separate excel files, each with a tab containing data and another tab containing a detailed description of each data field, including the units and scale of sampling. The datafiles are as follows: 1\) plant community data - pre-treatment and post-treatment measures of plant group abundance and diversity in grasshopper mesocosms 2\) arthropod survey data - arthropod counts by taxonomic group sampled in each of three post-treatment years in nitrogen treatment plots 3\) grasshopper id data - counts of adult grasshoppers by species sampled in each of three post-treatment years in nitrogen treatment plots 4\) trait data - traits of plants, arthropods, and their interactions measured in nitrogen treatment plots in the final treatment year ## Sharing/Access information Data was derived from the following sources: * all data were collected in the field at the study location.
DOI: 10.5061/dryad.sj3tx96bp
title: Data from: baobabs: symbol of resilience or victim of climate change?

description: In 2018, Patrut et al. published a paper in Nature Plants entitled “The
 demise of the largest and oldest African baobabs” and reported that 10 of
 the 15 trees they examined had recently died or collapsed. The authors
 characterized this mortality as “most unexpected”, although they did not
 provide demographic data of entire baobab populations to illustrate what
 might be expected. In addition, in the penultimate sentence they proposed
 that “the demise of monumental baobabs may be associated at least in part
 with significant modifications of climate conditions that affect southern
 Africa in particular”, despite not mentioning climate effects previously.
 Although the authors then clearly stated that “further research is
 necessary to support or refute this supposition”, the suggestion that
 recent failure of some of the largest, most ancient baobabs may have been
 due to climate change caught the media’s attention and went viral. A
 fleeting speculation became exaggerated and cast as an enduring fact –
 climate change is killing Africa’s baobabs.  In contrast, we
 provide evidence that most baobab (Adansonia digitata) populations found
 on mainland Africa are healthy, and the cohort of oldest and largest
 African baobabs is enduring. We discuss the longevity of baobabs and
 speculate on what may have caused the collapse and death of some of these
 giants. We also give a brief overview of other threats and provide a
 summary. 
description: Baobab trees that had been measured in 2006  in South Africa (see
 https://doi.org/10.1016/j.foreco.2019.117593 ) were revisited in April and November 2023 to varify if they were still alive or if they had died over the last 17 years.
description: # Baobabs: symbol of resilience or victim of climate change? 
 #### Baobab Survival 2006 - 2023
 [https://doi.org/10.5061/dryad.sj3tx96bp](https://doi.org/10.5061/dryad.sj3tx96bp) A list of baobab trees that were initially measured in 2006 as part of a previously published study in 2013 (see [https://doi.org/10.1016/j.foreco.2019.117593 )](https://doi.org/10.1016/j.foreco.2019.117593). This data is a summary of the 2023 assessment of the survival rate of these baobab trees. Data is stored in an Excel file. The data file is a list of trees, the date they were first assessed and the date of their reassessment with the result of whether they are still alive or not. The tree names used are unique identifiers of each of the trees in the study. No other codes or abbreviations are used.
DOI: 10.15468/dl.s7fmhn
title: Occurrence Download

description: A dataset containing 3644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Satyrium liparops",
 "Year 2005-2026"
 ]
}

 The dataset includes 3644 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003846-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4x2at
title: Occurrence Download

description: A dataset containing 6159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus oleraceus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 6159 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003847-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.prr4xgxt8
title: Generalised bumblebee-flower interactions demonstrate weak floral niche partitioning despite a high bee diversity

description: Niche partitioning is one of the key mechanisms allowing species
 co-existence and is especially relevant in species-rich communities. For
 pollinators, morphology is a major axis in which species differentiate
 their foraging niche, as it influences the match with flower morphology.
 Bumblebees (Bombus spp.) are important pollinators globally, showing their
 highest diversity of co-occurring species in the Hengduan Mountains region
 of southwestern China. This community context makes the region an ideal
 model system to test the importance of niche partitioning for
 plant-pollinator interactions. In high-elevation flower-rich meadows, over
 four years, we sampled pollinator-plant interaction networks containing 12
 sympatric bumblebee species, varying more than fourfold in tongue length
 from 4.7 to 21.7 mm. We then assessed the degree of niche partitioning
 occurring between these bumblebees. We analysed bumblebees’ foraging niche
 widths and overlap and found that species with longer tongues foraged from
 a narrower range of flowers. Accordingly, bumblebee species having shorter
 tongues and visiting a higher diversity of flowering species also showed
 consistently higher floral overlap with other bumblebee species across
 years. In spite of this morphology-driven niche pattern for species, the
 interaction network was consistently characterized by high generalization
 across the years. Our results indicate that the co-occurrence of a large
 number of potentially competing pollinators with high generalization and
 niche overlap is possible in flower-rich habitats. We suggest that, in
 regions of extraordinarily high plant and pollinator diversity and
 abundance, diverse pollinator communities may also be maintained without
 strong foraging niche partitioning.
description: Our dataset was built by pooling together all bumblebees visiting
 flower information available for the Yulong Snow Mountain from 2016 to
 2019.
description: # Generalised bumblebee-flower interactions demonstrate weak floral niche
 partitioning despite a high bee diversity
 Bumblebee-plant_matrix_(Yearly_and_qualitative).csv: This file contains
 the data of the yearly and qualitative for the bumblebee-plant network. *
 Year (e.g. Y1, Y2) indicates sampling period, - Bumblebee species
 observed, * The subsequent column is a plant species, with 0/1 or counts
 indicating presence/absence or number of interactions.
 Bumblebee-plant_matrix_(aggregated).csv: This file contains the data of
 the aggregated bumblebee-plant network. * Rows = plant species - Columns =
 bumblebee species (e.g., Bombus friseanus, Bombus festivus), values are
 counts. Site_information.xlsx: This file contains the data of the site
 information. * site IDs or names, * GPS coordinates (latitude/longitude),
 * elevation * habitat type
DOI: 10.6073/pasta/f8e4508a6fc2e40209f31cdb3c331df9
title: LTREB: Aboveground biomass, plant density, annual aboveground productivity, plant heights and snail observations in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC: 1984-2025

description: Aboveground biomass and plant density were measured non-destructively as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Biomass was calculated from plant height measurements using allometric equations. Annual productivity was calculated from approximately-monthly biomass estimates. In addition to plant height measurements, observations of snails in sample plots were recorded. 
 Other data collected as part of the project include marsh surface elevation and porewater nutrient concentrations. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. 
 Sampling occurred at Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Sampling began at one location in 1984, and at three additional locations in 1986. Sampling occurred approximately monthly through 2025. The study is on-going.
 There are four sampling locations at two sites. Two locations are in the low marsh; two locations are in the high marsh. One high marsh location had control sampling plots in addition to plots fertilized with nitrogen and phosphorus.
DOI: 10.15139/s3/ewgyxf
title: Data Management and Sharing Plan for: Tailored Treatment Strategies for Patients with Chronic Limb Threatening Ischemia

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5061/dryad.r7sqv9skg
title: Soil pH, exchangeable Al, and soil C in the surface soil (0–20 cm) of the Dinghushan (DHS) forest site

description: To analyze soil acidification rate in Dinghushan, we compiled the data on
 soil pH, exchangeable Al, and soil C from 1982 to 2013.
description: Soil pH was measured using a soil to solution
 (H<sub>2</sub>O) ratio of 1:5 (w/v) following 1 h of shaking.
 Total C concentrations were determined using a CN analyzer (vario MAX CN;
 Elementar Analysensystem GmbH, Langenselbold, Germany). Exchangeable Al
 was determined by 1 M KCl extraction.
description: This README file was generated on 2023-12-19 by Kazumichi Fujii. GENERAL
 INFORMATION # Title of Dataset Soil pH, exchangeable Al, and soil C in the
 surface soil (0–20 cm) of the Dinghushan (DHS) forest site # Principal
 Investigator Contact Information Name: Kazumichi Fujii Institution:
 Forestry and Forest Products Research Institute Address: Tsukuba 305-8687,
 Japan. Email: ## Description of the data
 and file structure DATA-SPECIFIC INFORMATION FOR: Table_china_soil.xlsx 1.
 Number of variables: 3 (Table 1) 2. Number of cases/rows: 16 3. Variable
 List: Table 1: (units in file) *Soil pH *Exchangeable Al *Soil C 4.
 Missing data codes: n/a (data not available) 5. Specialized formats or
 other abbreviations used: None ## Sharing/Access information
 Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0)
 Public Domain Links to other publicly accessible locations of the data:
 None Data was derived from the following sources: * Jiang, Y., Mo, J.,
 Fang, Y., Li, Z. (2005) Concentrations of exchangeable cations of soil and
 their seasonal dynamics in three representative forests of Dinghushan
 Biosphere Reserve. Guanxi Plant, 27 (1), 106-113 (in Chinese with English
 Abstract). * Liu, K.H., Fang, Y., Yu, F.M., Liu, Q., Li, F.R., Peng S.L.
 (2010) Soil acidification in response to acid deposition in three
 subtropical forests of subtropical China. Pedosphere, 20(3), 399-408. *
 Mo, J., Brown, S., Peng, S., Kong, G. (2003) Nitrogen availability in
 disturbed, rehabilitated and mature forests of tropical China. Forest
 Ecology and Management, 175(1-3), 573-583. * Shao, Y., Yu, M., Jiang, J.,
 Cao, N., Chu, G., Yan J. (2017) Status and Dynamic of Soil C, N and P of
 Three Forest Succession Gradient in Dinghushan. Journal of Tropical and
 Subtropical Botany, 25 (6), 523-530 (in Chinese with English Abstract).