cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/7ca56dfbe6c9bedf5126e9ff7e66f28d
title: Ecosystem responses to changes in climate and carbon dioxide in twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics

description: We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. The ecosystems we simulated include moist acidic tundra, shrub tundra, and wet sedge tundra near Toolik Lake, Alaska, alpine dry meadow tundra near Niwot Ridge, Colorado, restored tallgrass prairie near Kellogg Biological Station, Michigan, native tallgrass prairie at the Konza Prairie, Kansas, upland and lowland boreal forest near Bonanza Creek, Alaska, temperate coniferous forest in HJ Andrews Experimental Forest, Oregon, a northern hardwood forest in Hubbard Brook Experimental Forest, New Hampshire, a transition oak-maple forest in Harvard Forest, Massachusetts, and lowland tropical rainforest near Caxiuanã National Forest, Pará, Brazil. For each of the twelve sites, we run six 100-year simulations beginning from the calibrated steady state (72 simulations total). The six simulations are: (1) increasing CO2 from 400 to 800 μmol mol-1, (2) warming from current temperatures to current plus 3.5oC, (3) decreasing precipitation from 100% to 80% of the current annual rate, (4) increasing precipitation from 100% to 120% of the current annual rate, (5) doubling of CO2, 3.5oC warming, and 20% decrease in precipitation, and (6) doubling of CO2, 3.5oC warming, and 20% increase in precipitation. This dataset consists of the MEL model Windows executable, the driver and parameter file for each site, and the output files for each of the six simulations listed above.
DOI: 10.6073/pasta/b737b5f0855aa7afeda68764e77aec2a
title: Steady state carbon, nitrogen, phosphorus, and water budgets for twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics

description: We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. The ecosystems we simulated include moist acidic tundra, shrub tundra, and wet sedge tundra near Toolik Lake, Alaska, alpine dry meadow tundra near Niwot Ridge, Colorado, restored tallgrass prairie near Kellogg Biological Station, Michigan, native tallgrass prairie at the Konza Prairie, Kansas, upland and lowland boreal forest near Bonanza Creek, Alaska, temperate coniferous forest in HJ Andrews Experimental Forest, Oregon, a northern hardwood forest in Hubbard Brook Experimental Forest, New Hampshire, a transition oak-maple forest in Harvard Forest, Massachusetts, and lowland tropical rainforest near Caxiuanã National Forest, Pará, Brazil. For each of the twelve sites, we run six 100-year simulations beginning from the calibrated steady state (72 simulations total). The six simulations are: (1) increasing CO2 from 400 to 800 μmol mol-1, (2) warming from current temperatures to current plus 3.5oC, (3) decreasing precipitation from 100% to 80% of the current annual rate, (4) increasing precipitation from 100% to 120% of the current annual rate, (5) doubling of CO2, 3.5oC warming, and 20% decrease in precipitation, and (6) doubling of CO2, 3.5oC warming, and 20% increase in precipitation. The carbon, nitrogen, phosphorus, and water budgets presented here are used to calibrate the MEL model prior to running the climate change simulations. Citations and calculations for the data presented here are described in the individual site html files included in this dataset.
DOI: 10.6073/pasta/b9c3b821f3b7b2fba9bcc85fbb015773
title: ClimHyrdoDB Archive: Meteorologic and hydrologic observations from LTER and USFS sites, 2001-2020 - orignal database format

description: This dataset is an archive of the ClimHydroDB database, which was actively used from early 2001 to mid 2020. The database contained contributions from 62 contributors (primarily from the LTER Network and US Forest Service) and 672 research sites. Data records total approximately 16 million (raw) or 1.6 million (aggregated) for 22 meteorologic or hydrologic variables. This archive contains the 23 core tables of the ClimHydroDB database as text tables of comma separated values, plus the database entity relationship diagram (ERD), User Guide, database table descriptions (DDL, SQL script), and a zip file of related documents and presentations. Database design: At last upgrade, the database was implemented in Microsoft SQL Server 2008 (see DDL for more information). Database tables are primarily in a key-value pair arrangement, with controlled input for many fields, and extensive cross referencing. This design allows many types of descriptors to be assigned, e.g., for the types of activities taking place at research stations, or for physical parameters to describe a research area itself. The EML metadata for tables holding controlled vocabularies are described using the string “List of …”. Cross reference tables are described in metadata as such, including the parent table names. Database history: To facilitate intersite research within the LTER network, site data managers developed a system to provide climatic summaries dynamically, called ClimDB. Later funding from the U. S. Forest Service allowed the original database to be expanded to include hydrologic variables, and the combined database was renamed ClimHydroDB in 2003. The database also harvested real-time streamflow data from USGS gauging stations, using code developed by the Georgia Coastal Ecosystem LTER. As of 2021, the ClimHydroDB content is available as data packages from individual contributing sites, each containing identically formatted text tables in the ODM 1.1 format, for integration with CUAHSI tools (https://cuahsi.org). Contact info@environmentaldatainitiative.org for more details.
DOI: 10.25318/1410008301-fra
title: Caractéristiques de la population active selon le statut d'immigrant, données annuelles

description: Nombre de personnes faisant partie de la population active (emploi et chômage) et de la population inactive, taux de chômage, taux d'activité et taux d'emploi, selon le statut d'immigrant et le groupe d'âge, 5 dernières années.
DOI: 10.13140/rg.2.2.27463.16809
title: FVCNDVI
DOI: 10.17632/4pnbfwvbgc.1
title: Microtextural signatures in quartz grains and foraminifera from tsunami deposits of the Portuguese shelf

description: This study presents results from two sediment cores collected on the southern Portuguese shelf,  the main objective of this work is to understand the sediment dynamics and imprints of high-energy Holocene events on the Algarve platform (southern Portugal). 
The sediment cores were retrieved in the shallow offshore area and revealed the present of two deposits associated with tsunami events (CE 1755 and app. 3400 cal BP). The work presented here focus on the quantification of microtextural imprints in quartz grains and foraminifera tests on those deposits and in the sediment transport modes inferred from these imprints in the surface of these particles

Appendix 01: Compositional analysis of the sediments. The compositional analysis of the sediments was carried out only on the 250-500 μm fraction. The counted elements were grouped in bioclasts (fragments of shells, mollusks, foraminifera and other organisms), quartz, feldspar, opaques and micas (muscovite and biotite). The elements were grouped in bioclasts (fragments of shells, mollusks, foraminifera and other organisms), quartz, feldspar, opaques and micas (muscovite and biotite).
Appendix 02: microtextural analysis of quartz grains, graphs and statistics of core GeoB23512-01.
Appendix 03: microtextural analysis of quartz grains, graphs and statistics of core GeoB23513-02;
Appendix 04: Identification and taphonomic classification of foraminifera. The individuals were classified according to the degree of physical or chemical  alteration. Was considered: (0) when the shells were unaltered, being considered well-preserved; (1) slightly altered; (2) moderately altered and (3) very altered
DOI: 10.25318/1810013501-eng
title: Building construction price indexes, by type of building

description: Building construction price indexes (BCPI) by type of building. Quarterly data are available from the first quarter of 1982. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2017=100).
DOI: 10.48443/b2qt-7z79
title: Litterfall and fine woody debris production and chemistry (DP1.10033.001)
title: RELEASE-2022

description: This data product contains the quality-controlled, native sampling resolution data from NEON's Litterfall and fine woody debris sampling. Litter is defined as material that is dropped from the forest canopy and has a butt end diameter <2cm and a length <50 cm; this material is collected in elevated 0.5m2 PVC traps. Fine woody debris is defined as material that is dropped from the forest canopy and has a butt end diameter <2cm and a length >50 cm; this material is collected in ground traps as longer material is not reliably collected by the elevated traps. Following field collection, each sample is sorted by functional group, dried and weighed. After sorting litter by functional group, needles and leaves from elevated traps from select bouts are sent for chemical analysis, with excess material archived in the NEON Biorepository and available upon request. For additional details, see the user guides, protocols, and science design listed in the Documentation section below. Products resulting from this sampling include mass of litterfall and fine woody debris by functional group as well as litter chemistry and stable isotope ratios. Summary tables of external lab precision and accuracy are included in the expanded package.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guides for more information.

bgc\_CNiso\_externalSummary: 30

lig_externalSummary: 30

ltr_chemistrySubsampling: 60

ltr_fielddata: 60

ltr_litterCarbonNitrogen: 270

ltr_litterLignin: 180

ltr_massdata: 60

ltr_pertrap: 30
description: Each qualifying tower plot in forested ecosystems has 0-2 elevated traps and 1-2 ground traps deployed. Ground traps are sampled annually. Sampling interval of elevated litter traps is variable by dominant overstory vegetation. Deciduous forests are sampled once in the spring then multiple times during fall senescence; evergreen and coniferous forests are sampled year round at monthly intervals. Traps are consistent with those used by the Smithsonian Center for Tropical Forest Science (CTFS). Mass data for each collection event are measured separately for functional groups: Leaves, Needles, Twigs/branches, Woody material, Seeds, Flowers and other non-woody reproductive structures, Other, and Mixed (unsorted). Once every five years, leaf and needle samples from elevated traps from a single collection event are analyzed for carbon and nitrogen concentrations and stable isotopes as well as lignin concentrations.
DOI: 10.5281/zenodo.3968185
title: Clinical implementation of third order angulation of incisors in the course of routine fixed appliance treatment - a retrospective cohort study

description: Dataset for all analyses done in the paper.
DOI: 10.5281/zenodo.6321535
title: Global temperature time series from IPCC AR6

description: Annual global mean temperature time series used in IPCC Sixth Assessment Report (AR6). Includes both consolidated mulit-dataset mean and individual component data sets. Further documentation is available in AR6 (Working Group I, section 2.3.1).
DOI: 10.6073/pasta/5cc4d550ef863e80e781db290b6ae6ba
title: Eddy Flux Measurements, Tussock Station, Imnavait Creek, Alaska - 2018 - Provisional

description: The Biocomplexity Station was established in 2005 to measure landscape-level carbon, water and energy balances at Imnavait Creek, Alaska. The station is now contributing valuable data to the AON project that was established at two nearby stations. These will form part of a network of observatories with Abisko (Sweden), Zackenburg (Greenland) and a location in the Canadian High Arctic which will provide further data points as part of the International Polar Year. This particular part of the project focuses on simultaneous measurements of carbon, water and energy fluxes of the terrestrial landscape at hourly, daily, seasonal and multi-year time scales. These are the major regulatory drivers of the Arctic climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. We will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features and its interaction with the global system.
DOI: 10.6084/m9.figshare.15106224.v1
title: Long-term small mammal trapping data

description: Site level moon data: Nine years of small mammal trapping at a restored tallgrass prairie (Nachusa Grasslands, Franklin Grove IL). Each row represents one night of trapping at each of 20 sites, with data describing the number of captures per species and presence/absence that night.<br>Entry times: Two years of small mamml trapping at a restored tallgrass prairie (Nachusa Grasslands, Franklin Grove IL). Each row represents one individual capture event. Trap-entry time was estimated using iButtons (Orrock and Connolly 2016 PLoS ONE).
DOI: 10.6084/m9.figshare.19216749.v3
title: Rapid niche shift data

description: In-culture growth rate data for ancestral and derived bacteria
DOI: 10.6084/m9.figshare.20173571
title: Data for "Greater evolutionary divergence of thermal limits within marine than terrestrial species"

description: Data and R scripts used to examine patterns in thermal limits across populations. Zip file contains a complete R project folder. This directory includes the thermal limit and environmental data needed to reproduce analyses, along with the scripts used to analyze the data and generate the figures.
DOI: 10.6084/m9.figshare.20745973
title: Floristic diversity and vegetation of communities associated with two endemic Dianthus species in the montane steppes of northeastern Iran

description: 75 sampling plots were established in the study area in Spring 2016-2017. In each 25 m2 quadrat, canopy cover was estimated as a percentage of ground area and the Braun-Blanquet cover-abundance scale was obtained. All species were identified using relevant Floras. The vegetation data were stored in the TURBOVEG database and exported into JUICE 7.0 program for classification using TWINSPAN. The diagnostic species were determined on the basis of the fidelity concept using the <em>phi</em> coefficient. The complete scientific names of the plant species are listed in the supporting information in Behroozian et. al. (2022). Behroozian et al. 2022. Floristic diversity and vegetation of communities associated with two endemic Dianthus species in the montane steppes of northeastern Iran. Nordic Journal of Botany e03581. https://doi.org/101111.njb.03581
DOI: 10.21227/dt4f-rt59
title: ADAM: Automatic Detection challenge on Age-related Macular degeneration

description: ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.The ADAM challenge focuses on the investigation and development of algorithms associated with the diagnosis of Age-related Macular degeneration (AMD) and segmentation of lesions in fundus photos from AMD patients.The goal of the challenge is to evaluate and compare automated algorithms for the detection of AMD on a common dataset ofretinal fundus images.We invite the medical image analysiscommunity to participate by developing and testing existing and novel automated fundus classification and segmentation methods.
DOI: 10.5281/zenodo.1043507
title: The PInSoRo dataset -- anonymized version

description: The <strong>PInSoRo Dataset</strong> (also called <em>Freeplay Sandbox dataset</em>) is a large (120 children, 45h+ of RGB-D video recordings), open-data dataset of child-child and child-robot social interactions.

These interactions are recorded during little-constrained <strong>free play</strong> episodes. They encompass a rich and diverse set of social behaviours.

More on the dataset website: https://freeplay-sandbox.github.io/

Documentation of the dataset structure: online or check data/README.md inside the dataset zip file.

You can also check the CHANGELOG.
DOI: 10.5281/zenodo.7150668
title: Data and Files for Zito, Rigon and Dunson (2022): "Inferring taxonomic affiliation from DNA barcoding aiding in discovery of new taxa"

description: This folder contains the data and the R code to reproduce the figures and tables in the paper Zito, Rigon and Dunson (2022) - "Inferring Taxonomic placement from DNA barcoding aiding in discovery of new taxa", accepted as open access publication in Methods in Ecology and Evolution. The file "main_FinBOL.R" reproduces the tables in the main document and in the Supporting information available online for the analysis of the FinBOL data, while "main_Simulation_Section4_SI.R" reproduces the simulation in Section 4 of the Supporting information. All data are saved in the folder "data". For replicability purposes, we added version 2.13 of the RDP classifier to the repository, in the folder "RDP/java". This has been downloaded from https://sourceforge.net/projects/rdp-classifier/. For questions, contact the author at alessandro.zito@duke.edu<br>
DOI: 10.5281/zenodo.7333269
title: FEM-DEM bridging coupling for the modeling of gouge

description: <strong>Full Changelog</strong>: https://github.com/ManonVL/fem-dem-bridging-coupling/commits/v1.0.0<br> <br> This repository contains the data used in the paper "FEM-DEM bridging coupling for the modeling of gouge" (https://doi.org/10.1002/nme.7171).
DOI: 10.6082/uchicago.3557
title: The Simons Observatory: Large Aperture Telescope Receiver Tester Holography Data
DOI: 10.6084/m9.figshare.20477151.v2
title: Data for all of the analyses

description: 1) Force-Temperature data (Sara) 2) Vacuum data on glass slides (Madi) 3) Vacuum/heat data on sandpaper slides (Madi) 4) Ant trial data (Madi/Eric/Kathy) 5) Force of attachment for washed versus new slides - background data for exp. design, in supplementary figure 3, but probably useful to someone else, too! (Sara)
DOI: 10.7267/7w62fh122_v3
title: Northern spotted owl reproductive rates (version 3)
title: R script files needed for running multistate occupancy models with state misclassification, calculating derived estimates, model-averaging top models, and generating figures. Version 3.
title: Dataset consisting of multistate occupancy matrices and covariate files for 11 study areas used to analyze northern spotted owl reproductive rates. Version 3.

description: These datasets were used in the prosepctive meta-analysis of northern spotted owl reproductive rates over 25 years across 11 study areas located throughout the range of the owl. A multi-state occupancy file was created by collapsing site-specific information on owl reproductive status into bimonthly (2 per month) survey occasisons. These data were then analyzed to estimate annual reproductive rates, defined as: # owls successfully reproducing/# owl pairs, while accounting for variation in survey effort by accounting for imperfect detection of owls and potential misclassification of reproductive status. Covariates describing barred owl presence, habitat conditions, and climate were also included to help explain variation in reproductive rates. These data were collected as part of the long-term demographic monitoring of northern spotted owls in association with the Effectiveness Monitoring Plan of the Northwest Forest Plan. Data included here were analyzed and interpreted in the following manuscript in review: Rockweit, J. T. et al. 2021. Sources of Variation in Reproductive Rates of Northern Spotted Owls Across Their Range: A Prospective Meta-Analysis. The datasets associated with this readme file include all relevant script files needed for the multi-state occupancy anlysis of northern spotted owl reproduction. These data were collected as part of the long-term demographic monitoring of northern spotted owls in association with the Effectiveness Monitoring Plan of the Northwest Forest Plan. Version 2 has the same information as version 1, plus a table of ranked model results that includes all models tested and compared analyzing range-wide sources of variation in northern spotted owl reproductive rates. Version 3 has the same information as version 3, with the following changes: (1) Updated full list of models .csv to reflect updated analysis. (2) Updated the data files (.pao and seascov.csv) for the COA study area – all other study areas have not changed.
DOI: 10.25318/3210004901-eng
title: Farm Operating Expenses and Depreciation Charges

description: Farm operating expenses and rebates, for Canada and the provinces (in thousands of dollars).
DOI: 10.13140/rg.2.2.20752.28163
title: FVCNDVI
DOI: 10.13140/rg.2.2.25785.44641
title: FVCNDVI
DOI: 10.15151/esrf-es-1006918931
title: Inhouse research

description: Sodium dodecyl sulfate-glycerol gelation in the presence of simple inorganic and organic salts. Liquid-liquid phase separation in protein solutions.
DOI: 10.15151/esrf-es-928402573
title: BAG Barcelona

description: BAG Barcelona has a long tradition of accessing the ESRF. It is constituted by 10 groups that belong to the Institute of Molecular Biology Barcelona from the Spanish Research Council (IBMB-CSIC), the Institute for Research in Biomedicine (IRB), and the Research Institute from Hospital Santa Creu i Sant Pau (HSCSP-IR). The main subjects of research are protein/DBA complexes, molecular machines, compounds of viruses, molecular mechanisms of proteases, and other enzymes. Recently, a new group (E. Marcos) interested in de-novo designed protein scaffolds has joined the BAG. Our Scientific results strongly rely on the high-quality data and excellent performance and support of ESRF macromolecular crystallography beamlines.
DOI: 10.15151/esrf-es-1008938703
title: Inhouse research

description: The effect of different large anions on the stability of standard proteins in aqueous buffer will be studies by SAXS. The protein concentration will be kept low to remain below the threshold of aggregation.
DOI: 10.13140/rg.2.2.19074.56004
title: FVCNDVI
DOI: 10.34740/kaggle/dsv/4636054
title: AutoXGB
DOI: 10.15151/esrf-es-942428764
title: BREAK@ESRF

description: Deformation in the Earth’s crust localizes onto faults that may rupture rapidly producing earthquakes, or undergo slow aseismic slip that may or may not accelerate into coseismic slip. Our goal is to provide the first quantitative laboratory observations of the full displacement field in rocks before and during coseismic fault slip. Here, we will 1) develop a new and original rock deformation apparatus (ZEUS) on beamline BM18, that will couple X-ray tomography imaging and acoustic emission monitoring, 2) perform shock wave experiments on rocks on beamline ID19, 3) develop techniques to measure residual strains in deformed rocks on beamline ID11. The principal investigator, François Renard, has obtained an European Research Council Advanced Grant for the period 2022-2026, with a total funding of 3.45 M€, and in which ESRF is a Beneficiary. We are requesting a total of 165 shifts over 3 years (102 shifts on beamline BM18, 27 shifts on beamline ID19, 36 shifts on beamline ID11).