2024-03-28T19:12:54Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/7949168
2019-04-03T19:46:27Z
category_26935
category_26941
category_26998
portal_376
item_type_3
month_year_04_2019
Cary Environmental Monitoring Program Stream Chemistry Data: 1985-2022
Vicky Kelly (5346506)
Environmental assessment and monitoring
Environmental management
Other environmental sciences not elsewhere classified
Cary Institute of Ecosystem Studies
Cary Institute
data
climate
stream
streamwater
chemistry
conductivity
conductance
pH
calcium
magnesium
potassium
sodium
chloride
sulfate
nitrate
ammonium
phosphate
silica
dissolved organic carbon
DOC
Environmental Management
Environmental Monitoring
Environmental Science
The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, water pollution and streamwater hydrology. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: please click on the Cite button in the Figshare repository.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.<br><p></p>
2019-04-03T19:46:27Z
Dataset
Dataset
10.25390/caryinstitute.7949168.v5
https://figshare.com/articles/dataset/Cary_Environmental_Monitoring_Program_Stream_Chemistry_Data_1985-2017/7949168
CC BY 4.0
oai:figshare.com:article/8120816
2019-05-13T19:25:59Z
category_26935
category_26941
category_26998
portal_376
item_type_3
month_year_05_2019
Cary Environmental Monitoring Program Precipitation Chemistry Event-Based Data: 1984-2023
Vicky Kelly (5346506)
Environmental assessment and monitoring
Environmental management
Other environmental sciences not elsewhere classified
data
Cary Institute of Ecosystem Studies
Cary Institute
climate
precipiation
chemistry
wet deposition
conductivity
conductance
pH
calcium
magnesium
potassium
sodium
chloride
sulfate
nitrate
ammonium
phosphate
Environmental Science
Environmental Monitoring
Environmental Management
The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, water pollution and streamwater hydrology. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: Please click on the Data Cite button in Figshare.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.<p></p>
2019-05-13T19:25:59Z
Dataset
Dataset
10.25390/caryinstitute.8120816.v4
https://figshare.com/articles/dataset/Cary_Environmental_Monitoring_Program_Precipitation_Chemistry_Event-Based_Data_1984-2018/8120816
CC BY 4.0
oai:figshare.com:article/24721722
2024-03-20T19:45:42Z
category_27046
category_27205
portal_376
item_type_6
month_year_03_2024
Supplementary file 1 - Lendino et al.
Arianna Lendino (17498620)
Adrian Castellanos (8250462)
David M. Pigott (17303514)
Barbara Han (5983376)
Disease surveillance
Public health not elsewhere classified
New World arenaviruses
zoonosis
rodent
surveillance
One Health
outbreaks
socioeconomic
exposure
transmission risk
public health
<p dir="ltr">This document describes the literature review that was used to gather information on specific aspects of our current understanding of New World mammarenaviruses. We followed the PRISMA framework, which is shown in Figure 1 of this document. We document the keywords used for the literature search along with the number of papers retained at each step.</p>
2024-03-20T19:45:42Z
Text
Journal contribution
10.25390/caryinstitute.24721722.v1
https://figshare.com/articles/journal_contribution/Supplementary_file_1_-_Lendino_et_al_/24721722
CC BY 4.0
oai:figshare.com:article/25438666
2024-03-20T19:17:41Z
category_27046
category_27205
portal_376
item_type_3
month_year_03_2024
Supplementary file 3 - Lendino et al.
Arianna Lendino (17498620)
Adrian Castellanos (8250462)
David M. Pigott (17303514)
Barbara Han (5983376)
Disease surveillance
Public health not elsewhere classified
New World mammarenaviruses
zoonosis
rodent
surveillance
One Health
outbreaks
socioeconomic
exposure
transmission risk
public health
<p dir="ltr">A spreadsheet containing information on species associated with the mammarenaviruses mentioned in our review. Each row represents a particular species that is associated with a particular virus. For each row, we show the species name (species), the disease the virus causes (disease), the virus name (virus), the country the association was documented in (country), the DOI or PubMed ID of the article (DOI), the type of evidence for the association (evidence, the options are PCR, serosurvey, or other), further information on the evidence (evidence_notes), where the animal was located (source, options are wild or captive), and further notes on the record (checked). </p>
2024-03-20T19:17:41Z
Dataset
Dataset
10.25390/caryinstitute.25438666.v1
https://figshare.com/articles/dataset/Supplementary_file_3_-_Lendino_et_al_/25438666
CC BY 4.0
oai:figshare.com:article/24722061
2024-03-20T19:18:11Z
category_27046
category_27205
portal_376
item_type_1
month_year_03_2024
Supplementary file 2 - Lendino et al.
Arianna Lendino (17498620)
Adrian Castellanos (8250462)
David M. Pigott (17303514)
Barbara Han (5983376)
Disease surveillance
Public health not elsewhere classified
New World arenaviruses
zoonosis
rodent
surveillance
One Health
outbreaks
socioeconomic
exposure
transmission risk
public health
<p dir="ltr">Additional figures showing maps of the mammal distributions for each species associated with a particular viral hemorrhagic fever. </p>
2024-03-20T19:18:11Z
Image
Figure
10.25390/caryinstitute.24722061.v1
https://figshare.com/articles/figure/Supplementary_file_2_-_Lendino_et_al_/24722061
CC BY 4.0
oai:figshare.com:article/24680847
2024-03-20T19:16:33Z
category_27046
category_27205
portal_376
item_type_3
month_year_03_2024
Supplementary file 4 - Lendino et al.
Arianna Lendino (17498620)
Adrian Castellanos (8250462)
David M. Pigott (17303514)
Barbara Han (5983376)
Disease surveillance
Public health not elsewhere classified
New World arenaviruses
zoonosis
rodent
surveillance
One Health
outbreaks
socioeconomic
exposure
transmission risk
public health
<p dir="ltr">This spreadsheet contains the results of a structured literature review on zoonotic New World arenaviruses. Each row of the table contains information regarding one of the 97 papers that was retained after all of our filtering steps. For each paper, we present the title (Title Primary), journal title (Periodical Full), authors (Authors, Primary), DOI/PubMed ID (DOI), year of publication (Pub Year), journal volume (Volume), journal issue (Issue), and the location of the first page of the article (Start Page). In the case that a DOI was not available, we used the PubMed ID (stylized as PMID: ###) if it existed. If neither were available, this information was left as an N/A. </p>
2024-03-20T19:16:33Z
Dataset
Dataset
10.25390/caryinstitute.24680847.v1
https://figshare.com/articles/dataset/Supplementary_file_4_-_Lendino_et_al_/24680847
CC BY 4.0
oai:figshare.com:article/24088689
2023-09-07T18:51:38Z
category_24016
portal_376
item_type_3
month_year_09_2023
Data and code associated with: Trees adjust nutrient acquisition strategies across tropical forest secondary succession.
Michelle Wong (9089987)
Nina Wurzburger (16941866)
Jefferson Hall (8451984)
S. Joe Wright (5955545)
Wenguang Tang (4643929)
Lars O. Hedin (8031857)
Kristin Saltonstall (7433783)
Michiel van Breugel (16943505)
Sarah A. Batterman (16943508)
Forest biodiversity
nutrient limitation
root phosphatase
mycorrhizal fungi
nitrogen
phosphorus
tropical carbon sink
tropical forests
biodiversity
meta-analysis
data
<p dir="ltr">Nutrient limitation may constrain the ability of recovering and mature tropical forests to serve as a carbon sink. However, it is unclear to what extent trees can utilize nutrient acquisition strategies – especially root phosphatase enzymes and mycorrhizal symbioses – to overcome low nutrient availability during succession. We use a large-scale, full factorial nitrogen and phosphorus fertilization experiment of 76 replicate plots along a tropical forest secondary succession gradient in Panama to test the extent to which trees adjust nutrient acquisition strategies. We show that tropical forests are highly dynamic in adjusting strategies – particularly root phosphatase – during forest recovery, reflecting a shift from strong nitrogen to weak phosphorus limitation over succession. We contextualize these results within a broader meta-analysis, where tree strategies also dynamically respond to nutrients and forest age. Together, our findings indicate that high functional diversity characterizes nutrient strategies in tropical forests, likely critical for alleviating nutrient limitation on the carbon sink.</p><p dir="ltr"><b>File list:</b></p><p dir="ltr">AS_roots_README_11202023_share.pdf. Contains data dictionaries for data tables, project abstract, creators, full list of funders, methodology, citation list and additional project documentation.</p><p dir="ltr">AS_code.R. Commented code for data transformation, statistical analyses, figures, and meta-analysis.</p><p dir="ltr">AS_fertilization_root_data.csv. Data for mycorrhizal colonization and root phosphatase activity in response to nitrogen and phosphorus fertilization across four forest age classes in Panama.</p><p dir="ltr">AS_Plasticity_phosphatase_mycorrhizae.csv. Data for meta-analysis of root phosphatase and mycorrhizal colonization responses to nitrogen and phosphorus additions in tropical forests.</p><p dir="ltr">AS_secondary_forest_mycorrhizal_colonization_literature_review.csv. Data for literature review on mycorrhizal colonization rates across secondary succession in tropical forests.</p>
2023-09-07T18:51:38Z
Dataset
Dataset
10.25390/caryinstitute.24088689.v2
https://figshare.com/articles/dataset/Data_and_code_associated_with_Trees_adjust_nutrient_acquisition_strategies_across_tropical_forest_secondary_succession_/24088689
CC BY 4.0
oai:figshare.com:article/11801052
2020-02-04T18:30:29Z
category_25750
category_25759
category_26935
category_26941
category_26998
portal_376
item_type_3
month_year_02_2020
Cary Institute Environmental Monitoring Program Current Year Data 2024
Vicky Kelly (5346506)
Atmospheric sciences not elsewhere classified
Climatology
Environmental assessment and monitoring
Environmental management
Other environmental sciences not elsewhere classified
data
Cary Institute
Cary Institute of Ecosystem Studies
Atmospheric Sciences
Climate Science
Environmental Management
Environmental Monitoring
Environmental Science
<p>The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: please click on the Cite button in the Figshare repository.<br>
Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>
For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at <a href="https://caryinstitute.figshare.com/" target="_blank">https://caryinstitute.figshare.com/</a></p>
2020-02-04T18:30:29Z
Dataset
Dataset
10.25390/caryinstitute.11801052.v64
https://figshare.com/articles/dataset/Cary_Institute_Environmental_Monitoring_Program_Current_Year_Data_2020/11801052
CC BY 4.0
oai:figshare.com:article/24731217
2023-12-07T20:18:12Z
category_24019
portal_376
item_type_3
month_year_12_2023
Data and code associated with: Gora, E., et al. How some tropical trees benefit from being struck by lightning.
Evan Gora (14683951)
Helene C. Muller-Landau (10653383)
Katherine Cushman (9755228)
Jeannine Richards (17553080)
Phillip Bitzer (14683957)
Jeffrey Burchfield (14683960)
Pablo Narvaez (17553132)
Stephen P. Yanoviak (12259879)
Forest ecosystems
competition
lianas
species coexistence.
tree mortality
tropical forests
data
<p dir="ltr">Lightning strikes are exceptionally powerful phenomena that kill hundreds of millions of trees annually. Here, we use data from a unique lightning location system to show that some individual trees counterintuitively benefit from being struck by lightning. Lightning killed 56% of 93 directly struck trees and caused an average of 41% crown dieback among the survivors. However, 18 direct strikes to lightning-tolerant trees caused little observable damage to those individuals, while reducing the number of lianas infesting their crowns by 69% and killing an average of 2.1 Mg of competitor tree biomass. The average lightning-tolerant tree is struck by lightning multiple times, conferring these benefits repeatedly (predicted mean direct strikes while canopy-height range 1.5-8.1 strikes tree-1 among species). For the often-struck Dipteryx oleifera, we estimate that the ability to survive lightning increases lifetime fecundity 14-fold, with a majority of that increase attributable to the removal of lianas and reduced light competition. Not only do D. oleifera trees apparently benefit from lightning, but their unusual heights and wide crowns increase the probability of a direct strike by 49-68% relative to trees of the same diameter with average allometries. These patterns suggest that lightning plays an underappreciated role in tree competition, influencing selection on tree life histories and tree allometries with implications for species coexistence.</p><p dir="ltr"><b>File list:</b></p><p dir="ltr">allometry.zip: abundant_species_df_taxa.csv, abundant_species_df_taxa_test.csv, species_allometry.csv, allometry_strike_frequency_deconstruction.R (4 files)</p><p dir="ltr">drone_map.zip: DipteryxStrikeHtData.csv, NonStrikeHtData.csv, drone_map_canopy_height.R (3 files)</p><p dir="ltr">group_comparisons.zip: direct_alltrees_allcensuses.csv, other_canopytree_surveys.csv, plot_lianas.csv, strike_recensuses2021.csv, ReadMe.csv, comparisons_dataframes_Dipteryx.R, comparisons_dataframes_tolerant.R (7 files)</p><p dir="ltr">lifetime_simulations.zip: combined_strike_dips.csv, dips_growth.csv, dips_mortality.csv, exposed_crowns.csv, liana_transitions_raw.csv, repro_data.csv, Dip_lifetime_simulations.R, summary_lightningSURV_IGNORElianas.rds, summary_NolianaREM_lightningDEATH_CONSTANTcompetition.rds, summary_NolianaREM_lightningSURV_CONSTANTcompetition.rds (10 files)</p><p dir="ltr">release.zip: alltrees_finalsurvey_sp.csv, release_from_competition.R (2 files)</p><p dir="ltr">survival_analyses_historic_neighborhoods.R</p><p dir="ltr">MovieS1_NarratedVideo.mp4</p><p dir="ltr">README_gora.md: This markdown file describes all data analyses in detail and provides definitions for variables contained in all .csv data files.</p>
2023-12-07T20:18:12Z
Dataset
Dataset
10.25390/caryinstitute.24731217.v2
https://figshare.com/articles/dataset/Data_and_code_associated_with_Gora_E_et_al_How_some_tropical_trees_benefit_from_being_struck_by_lightning_i_Submitted_i_PNAS/24731217
CC BY 4.0
oai:figshare.com:article/23609949
2023-06-30T19:55:23Z
category_25789
portal_376
item_type_11
month_year_06_2023
SMAPVEX19-22 Millbrook Temporary Soil Moisture Network
Vicky Kelly (5346506)
Michael Cosh (6984758)
Andreas Colliander (10879093)
Computational modelling and simulation in earth sciences
data
Cary Institute
Cary Institute of Ecosystem Studies
soil moisture
SMAPVEX
remote sensing
<p>These data consist of ground-based soil moisture, soil temperature, and air temperature measurements recorded by twenty-five temporary stations located in the vicinity of Millbrook, NY during the SMAPVEX19-22 campaign. The stations were installed across an area of approximately 25 km by 30 km in May 2019 and operated through 2022. </p>
2023-06-30T19:55:23Z
Text
Online resource
10.25390/caryinstitute.23609949.v2
https://figshare.com/articles/online_resource/SMAPVEX19-22_Millbrook_Temporary_Soil_Moisture_Network/23609949
CC BY 4.0
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