cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.krupjk
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vitex panshiniana Moldenke, Vitex polygama var. bakeri Moldenke)"
 ]
}

 The dataset includes 240 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008097-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-04.2503493/2382604
title: Data for EMSL Project 51672 from April 2022
DOI: 10.25582/data.2023-04.2784278/2382605
title: Data for EMSL Project 51672 from April 2023
DOI: 10.25582/data.2022-05.2510202/2382606
title: Data for EMSL Project 51672 from May 2022
DOI: 10.25582/data.2022-05.2510359/2382607
title: Data for EMSL Project 51672 from May 2022
DOI: 10.15468/dl.bk73gw
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Siganus fuscescens (Houttuyn, 1782)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 385 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008098-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-05.2510368/2382608
title: Data for EMSL Project 51672 from May 2022
DOI: 10.25582/data.2022-05.2510223/2382609
title: Data for EMSL Project 51672 from May 2022
DOI: 10.25582/data.2022-07.2563729/2382610
title: Data for EMSL Project 51672 from July 2022
DOI: 10.25582/data.2022-05.2510363/2382611
title: Data for EMSL Project 51672 from May 2022
DOI: 10.25582/data.2023-02.2736258/2382612
title: Data for EMSL Project 60163 from February 2023
DOI: 10.25582/data.2022-08.2573664/2382613
title: Data for EMSL Project 60163 from August 2022
DOI: 10.25582/data.2022-09.2598630/2382614
title: Data for EMSL Project 60163 from September 2022
DOI: 10.25582/data.2022-10.2626378/2382615
title: Data for EMSL Project 60163 from October 2022
DOI: 10.25582/data.2022-12.2675483/2382616
title: Data for EMSL Project 60163 from December 2022
DOI: 10.25582/data.2022-04.2504208/2382617
title: Data for EMSL Project 60163 from April 2022
DOI: 10.25582/data.2022-06.2530862/2382618
title: Data for EMSL Project 60163 from June 2022
DOI: 10.25582/data.2022-06.2530864/2382619
title: Data for EMSL Project 60163 from June 2022
DOI: 10.25582/data.2022-08.2573663/2382620
title: Data for EMSL Project 60163 from August 2022
DOI: 10.25582/data.2024-06.3162756/2382621
title: Data for EMSL Project 61049 from June 2024
DOI: 10.25582/data.2024-06.3162747/2382622
title: Data for EMSL Project 61049 from June 2024
DOI: 10.25582/data.2024-06.3162819/2382623
title: Data for EMSL Project 61049 from June 2024
DOI: 10.25582/data.2023-06.2835882/2382624
title: Data for EMSL Project 60461 from June 2023
DOI: 10.25582/data.2023-06.2835880/2382625
title: Data for EMSL Project 60461 from June 2023
DOI: 10.25582/data.2023-06.2835879/2382626
title: Data for EMSL Project 60461 from June 2023
DOI: 10.5439/2382703
title: EPCAPE-PT-LANL Measurements: Ground based counterflow virtual impactor

description: Coastal cities offer a unique environment for studying aerosol-cloud interactions and the effects of urban emissions on cloud properties. As part of the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE), the Partitioning Thrust by Los Alamos National Laboratory (EPCAPE-PT-LANL) was conducted. Our campaign focused on measuring the optical and chemical properties of aerosols and their interactions within marine stratocumulus clouds in La Jolla, California. EPCAPE-PT-LANL enhances the primary goals of EPCAPE through innovative observations of vapor-phase transitions between aerosols and cloud droplets, the impact of black carbon on aerosol-cloud dynamics, and the effects of cloud processing on aerosol optical properties. Instrument: Ground based counter flow virtual impactor (Brechtel Inc) Data Notes: A factor of 6.7 needs to be applied to all cloud droplet residual concentration to correct the enhancement of the concentration because all the residual samples collected at 100 lpm were delivered into the 15 lpm of CVI sample flow. [https://amt.copernicus.org/articles/5/1259/2012/amt-5-1259-2012.html] Header: - Visibility[m]: The atmospheric visibility at the time of measurement, expressed in meters. - QualityControl_Flag[bool]: A boolean flag indicating whether the measurement passed quality control checks. - Temperature[C]: The ambient temperature at the time of the measurement, expressed in degrees Celsius. - CVI_Flag[bool]: A boolean flag indicating whether the Counterflow Virtual Impactor (CVI) was active (true) or inactive (false) during the measurement. - RelativeHumidity[%]: The relative humidity at the time of the measurement, expressed as a percentage
DOI: 10.5439/2382705
title: EPCAPE-PT-LANL Measurements: Photoacoustic Extinctometer

description: Coastal cities offer a unique environment for studying aerosol-cloud interactions and the effects of urban emissions on cloud properties. As part of the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE), the Partitioning Thrust by Los Alamos National Laboratory (EPCAPE-PT-LANL) was conducted. Our campaign focused on measuring the optical and chemical properties of aerosols and their interactions within marine stratocumulus clouds in La Jolla, California. EPCAPE-PT-LANL enhances the primary goals of EPCAPE through innovative observations of vapor-phase transitions between aerosols and cloud droplets, the impact of black carbon on aerosol-cloud dynamics, and the effects of cloud processing on aerosol optical properties. Instrument: Photoacoustic Extinctiometer at 870 nm (Droplet Measurement Technology)Header: - AbsorptionNoise_870nm[1/Mm]: Noise level associated with the absorption measurement at 870 nm, expressed in inverse megameters (Mm⁻¹). - Absorption_870nm[1/Mm]: Absorption coefficient of aerosols measured at 870 nm, expressed in inverse megameters (Mm⁻¹). - Extinction_870nm[1/Mm]: Extinction coefficient of aerosols measured at 870 nm, expressing the sum of scattering and absorption by aerosols, in inverse megameters (Mm⁻¹). - Scattering_870nm[1/Mm]: Scattering coefficient of aerosols measured at 870 nm, expressed in inverse megameters (Mm⁻¹).- BackgroundAbsorption_870nm[1/Mm]: Background absorption measurement at 870 nm, used to correct the primary absorption data, expressed in inverse megameters (Mm⁻¹). - BackgroundScattering_870nm[1/Mm]: Background scattering measurement at 870 nm, used to correct the primary scattering data, expressed in inverse megameters (Mm⁻¹). - Temperature[C]: The ambient temperature at the time of the measurement, expressed in degrees Celsius. - RelativeHumidity[%]: The relative humidity at the time of the measurement, expressed as a percentage. - CVI_Flag[bool]: A boolean flag indicating whether the Counterflow Virtual Impactor (CVI) was active (true) or inactive (false) during the measurement
DOI: 10.15485/2382715
title: Comparing the Recovery of Arbuscular and Ectomycorrhizal Stands from Long-Term Nitrogen Fertilization at the Fernow Experimental Forest, WV (2021 and 2022)

description: This data was generated to answer the research question: After the end of a 30-year nitrogen (N) fertilization experiment in an Eastern temperate forest, to what extent do plant microbial interactions and carbon cycling in arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) dominated stands follow different recovery trajectories?The soil and the roots used in this dataset were sampled from two watersheds (N-fertilized watershed 3 and Reference watershed 7) with 6 AM and 6 ECM dominated stands each, over the course of three months (June, July, August) in 2021 and 2022. The "All_Roots.csv" data includes fine root biomass (in g) scaled to sampled soil (m2) (Scaled_Rt_Bm_gm2), and AM and ECM root colonization (%) in two soil fractions: the organic horizon (O) and the mineral horizon (B). The "All_Enzymes.csv" data includes extracellular soil enzyme activity (N-acetyl-glucosaminidase (NAG), acid phosphatase (AP), β-glucosidase (BG), phenol oxidase and peroxidase), and the ratios of BG to AP (BG:AP) and BG to NAG (BG:NAG) in three soil fractions: the organic horizon (O), the bulk soil (B), and the rhizosphere (R).The "All_Nmin" data includes inorganic N (NO3- and NH4+) pools (unit: μg of N per g of dry soil) measured pre- (I_Nitrate_ugNgsoil and I_Ammonia_ugNgsoil) and post-incubation (F_Nitrate_ugNgsoil and F_Ammonia_ugNgsoil), as well as calculated nitrification (Nitrification_day) and nitrogen mineralization (Mineralization_day) rates per day, in three soil fractions: the organic horizon (O), the bulk soil (B), and the rhizosphere (R).
DOI: 10.15485/2382719
title: UAS remote sensing (AltaX platform): Red-green-blue (RGB) imagery, thermal infrared (TIR) imagery, and canopy reflectance (Level 0 data), Seward Peninsula, Alaska, 2023

description: Airborne remote sensing data collected using Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) AltaX platform on the Seward Peninsula, Alaska, USA. This package includes raw (L0) data from 11 flights flown over the NGEE-Arctic Kougarok mile marker 64 (MM64) and Teller MM 27 sites in July, 2023. The AltaX is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as near-surface surface reflectance at 1 nm intervals in the visible to near-infrared spectral range from ~350 – 1000 nm. This package provides the Level 0 (raw, unprocessed) data collected by the platform and sensors. Ancillary aircraft data, flight mission parameters, and general flight conditions provided by the onboard flight and data collection computers are also included. Data and metadata are provided as text (*.txt, *.json), binary (*.dat, *.ulg), tabular (*.csv), geospatial (*.kml. *kmz), image (*.jpg, *.png, *.tif) and pdf formats. The metadata documents contain flight campaign, platform, sensor, flight and file metadata, along with a description of the L0 data and the file naming scheme.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/2382720
title: UAS remote sensing (AltaX platform): Red-green-blue (RGB) imagery, thermal infrared (TIR) imagery, and canopy reflectance (Level 0 data), Seward Peninsula, Alaska, 2022

description: Airborne remote sensing data collected using Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) AltaX platform on the Seward Peninsula, Alaska, USA. This package includes raw (L0) data from 10 flights flown over the NGEE-Arctic Kougarok mile marker 64 (MM64) and Teller MM 27 sites in July, 2022. The AltaX is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as near-surface surface reflectance at 1 nm intervals in the visible to near-infrared spectral range from ~350 – 1000 nm. This package provides the Level 0 (raw, unprocessed) data collected by the platform and sensors. Ancillary aircraft data, flight mission parameters, and general flight conditions provided by the onboard flight and data collection computers are also included. Data and metadata are provided as text (*.txt, *.json), binary (*.dat, *.ulg), tabular (*.csv), geospatial (*.kml. *kmz), image (*.jpg, *.png, *.tif) and pdf formats. The metadata documents contain flight campaign, platform, sensor, flight and file metadata, along with a description of the L0 data and the file naming scheme.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 15-year research effort (2012-2027) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/2382721
title: Surface water geochemistry along St. Louis River Estuary (Duluth/Superior, MN/WI)

description: This dataset is aimed at understanding changes in surface water chemistry associated with urbanization in the Great Lakes region. Surface water chemistry including cations, anions, organic and inorganic carbon, and nitrogen were collected from six locations along St. Louis River – a freshwater estuary entering Lake Superior (Duluth/Superior, MN/WI). The Duluth/Superior, MN/WI metropolitan area is the largest port on the United States side of Lake Superior. Samples were collected near different land uses every two weeks from late July 2023 to the onset of ice cover in November 2023. Water samples were analyzed using In-Situ AquaTroll 500 Multiparameter Sonde with Ammonium Ion Selective Electrode and Chlorophyll-a sensor (unfiltered), METTLER TOLEDO FiveEasy Plus FP20 and METTLER TOLEDO LE407 probe (unfiltered); HACH DR300 Pocket Colorimeter Iron FerroVer (filtered 0.22 μm in field); Shimadzu TOC-L Total Organic Carbon Analyzer with TNM-L Total Nitrogen Unit (filtered 0.22 μm in field); Agilent 8900 triple quadrupole ICP-MS (ICP-QQQ) (filtered 0.22 μm in field); and Dionex ICS-6000 HPIC System (filtered 0.22 μm in field).The data package is comprised of 5 files. dd.csv contains the description of columns in Geochemistry_LSNERR_water.csv and Sampling_sites.csv. flmd.csv contains descriptions of each file in the dataset. README.txt contains description of the dataset structure and file content. Geochemistry_LSNERR_water.csv contains geochemistry data for six sampling locations along the St. Louis River. Sampling_sites.csv contains latitude and longitude coordinates for each of the six sampling site locations along the St. Louis River.This data has not been previously published.
DOI: 10.15468/dl.3kvmtd
title: Occurrence Download

description: A dataset containing 1937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vitex cymosa Bertero ex Spreng., Vitex discolor Glaz.)"
 ]
}

 The dataset includes 1937 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008099-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2p9p6x
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Siganus fuscescens (Houttuyn, 1782)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 385 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008100-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn2wp9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthus ebracteatus Vahl",
 "Country is Viet Nam"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008101-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y7n9x
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthus ilicifolius L.",
 "Country is Viet Nam"
 ]
}

 The dataset includes 18 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008102-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2q9mu5
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avicennia alba Blume",
 "Country is Viet Nam"
 ]
}

 The dataset includes 275 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008103-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppgmyb
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quadrastichus erythrinae Kim, 2004"
 ]
}

 The dataset includes 33 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008104-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rp3sp
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexagrammos otakii Jordan & Starks, 1895",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 558 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008105-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp2bcj
title: Occurrence Download

description: A dataset containing 4430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchophorus ferrugineus (A.G.Olivier, 1791)"
 ]
}

 The dataset includes 4430 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008106-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg9cgc
title: Occurrence Download

description: A dataset containing 810 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saperda candida Fabricius, 1787"
 ]
}

 The dataset includes 810 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008108-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch8bj2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexagrammos octogrammus X Hexagrammos otakii",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008109-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12619789
title: Effects of Wages on the Well-being of University Teachers in China

description: This dataset contains survey data on the job well-being of university teachers in China, including variables such as salary satisfaction, perceived workload, organizational culture, and student interaction. Data were collected in 2023 from 283 teachers through an online questionnaire and are stored in SAV format.
DOI: 10.5281/zenodo.12619790
title: Effects of Wages on the Well-being of University Teachers in China

description: This dataset contains survey data on the job well-being of university teachers in China, including variables such as salary satisfaction, perceived workload, organizational culture, and student interaction. Data were collected in 2023 from 283 teachers through an online questionnaire and are stored in SAV format.
DOI: 10.15468/dl.n946r7
title: Occurrence Download

description: A dataset containing 5829 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Jacaranda copaia (Aubl.) D.Don, Bignonia copaia Aubl., Bignonia procera Willd., Jacaranda amazonensis Italo de Vattimo, Jacaranda copaia var. paraensis Huber, Jacaranda copaia subsp. spectabilis (Mart. ex A.DC.) A.H.Gentry, Jacaranda copaia var. spectabilis (Mart. ex DC.) Bureau, Jacaranda paraensis (Huber) Vattimo, Jacaranda procera (Willd.) Spreng., Jacaranda spectabilis Mart. ex DC., Jacaranda superba Pittier)"
 ]
}

 The dataset includes 5829 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008107-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10402078
title: Data and code for "Tree species abundance shifts at the climate edges: an interplay between climate change, plant traits, and land-use legacies"

description: ## Secondary data and code to accompany the research entitled "Tree species abundance shifts at the climate edges: an interplay between climate change, plant traits, and land-use legacies" by Padullés Cubino et al. (2023).

# There are four folders with (1) "raw data", (2) "processed data", (3) "results", and (4) "scripts".

# The raw and processed data folders contain the CSV and XLSX files with all the data used for analysis and produced from them

# The "results" folder contains the figures and table presented in the manuscript.

# The "scripts" folder contains four scripts for the analyses described in the manuscript:

   01_preparation_ClimEdge.R -> data cleaning and processing

   02_script_Fig1.R -> code to produce Fig1

   03_script_Fig2.R -> code to produce Fig2

   04_script_Table1_Fig3.R -> code to produce Table 1 and Fig3

# If anything is unclear, please contact the corresponding author for clarification (padullesj@gmail.com).