cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24912390
title: Intraspecific leaf trait variation mediates edge effects on litter decomposition rate in fragmented forests

description: There is strong trait dependence in species-level responses to environmental change and their cascading effects on ecosystem functioning. However, there is little understanding of whether intraspecific trait variation (ITV) can also be an important mechanism mediating environmental effects on ecosystem functioning. This is surprising, given that global change processes such as habitat fragmentation and the creation of forest edges drive strong trait shifts within species. On 20 islands in the Thousand Island Lake, China, we quantified intraspecific leaf trait shifts of a widely distributed shrub species, <i>Vaccinium carlesii</i>, in response to habitat fragmentation. Using a reciprocal transplant decomposition experiment between forest edge and interior on 11 islands with varying areas, we disentangled the relative effects of intraspecific leaf trait variation vs. altered environmental conditions on leaf decomposition rates in forest fragments. We found strong intraspecific variation in leaf traits in response to edge effects, with a shift towards recalcitrant leaves with low specific leaf area and high leaf dry matter content from forest interior to the edge. Using structural equation modelling, we showed that such intraspecific leaf trait response to habitat fragmentation had translated into significant plant afterlife effects on leaf decomposition, leading to decreased leaf decomposition rates from the forest interior to the edge. Importantly, the effects of intraspecific leaf trait variation were additive to and stronger than the effects from local environmental changes due to edge effects and habitat loss. Our experiment provides the first quantitative study showing that intraspecific leaf trait response to edge effects is an important driver of the decrease in leaf decomposition rate in fragmented forests. By extending the trait-based response-effect framework towards the individual level, intraspecific variation in leaf economics traits can provide the missing functional link between environmental change and ecological processes. These findings suggest an important area for future research on incorporating ITV to understand and predict changes in ecosystem functioning in the context of global change.
DOI: 10.6084/m9.figshare.24912396
title: Latitudinal biodiversity gradients of rocky intertidal assemblages: spatial scales and complex associations with environmental factors

description: This dataset contains macroalgal, polychaete, and substrate data for the paper: Hadiyanto, H., J. Prince, and R.K. Hovey. 2024. Latitudinal biodiversity gradients of rocky intertidal assemblages: spatial scales and complex associations with environmental factors. Marine Ecology. Accepted.The ZIP file contains 3 data: transect data.csv, site data.csv, and latitudinal data.csv. The README file contains an explanation of the data.
DOI: 10.6084/m9.figshare.24912396.v1
title: Latitudinal biodiversity gradients of rocky intertidal assemblages: spatial scales and complex associations with environmental factors

description: This dataset contains macroalgal, polychaete, and substrate data for the paper: Hadiyanto, H., J. Prince, and R.K. Hovey. 2024. Latitudinal biodiversity gradients of rocky intertidal assemblages: spatial scales and complex associations with environmental factors. Marine Ecology. Accepted.The ZIP file contains 3 data: transect data.csv, site data.csv, and latitudinal data.csv. The README file contains an explanation of the data.
DOI: 10.6084/m9.figshare.24902445
title: Quotations from "<i>I</i><i>t's </i><i>total erasure"</i>

description: The table contains the direct and reported comments to accompany a critique of the article “<i>It’s Total Erasure”: Trans and Nonbinary Peoples’ Experiences of Cisnormativity Within Perinatal Care Services in Aotearoa New Zealand</i> by Parker G. et al. published in December 2022 in Women's reproductive health. https://www.tandfonline.com/doi/full/10.1080/23293691.2022.2155496
DOI: 10.6084/m9.figshare.24902445.v1
title: Quotations from "<i>I</i><i>t's </i><i>total erasure"</i>

description: The table contains the direct and reported comments to accompany a critique of the article “<i>It’s Total Erasure”: Trans and Nonbinary Peoples’ Experiences of Cisnormativity Within Perinatal Care Services in Aotearoa New Zealand</i> by Parker G. et al. published in December 2022 in Women's reproductive health. https://www.tandfonline.com/doi/full/10.1080/23293691.2022.2155496
DOI: 10.23719/1527944
title: GLRI-Contaminants of emerging concern and biological effects database

description: This subproduct is a database of multiagency data, funded as part of the Great Lakes Restoration Initiative (GLRI), to monitor and assess potential exposure and effects of chemicals of emerging concern (CECs) on aquatic and other wildlife in the Great Lakes. This database includes environmental contaminant occurrence data and biological indicator data from Army Corps of Engineers, NOAA, US EPA, US FWS, and USGS.
DOI: 10.21227/h49v-gn73
title: data of robot control experiments

description: The data is uploaded according to the requirements of IEEE DataPort. The file is named 'data of robot control experiments.zip', and it contains two folders. The folder named 'Data of Section IV-B' is the experimental data in Section IV-B, and the folder named 'Data of Appendix A' is the experimental data in Appendix A.
DOI: 10.34740/kaggle/dsv/7295609
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7295608
title: AutoXGB
DOI: 10.6084/m9.figshare.24912420
title: Ophiura sarsii genome annotation

description: Ophiura sarsii genome annotation.
DOI: 10.34740/kaggle/dsv/7295614
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.4121/68377ee4-892d-40f0-a490-29f2601e6825.v1
title: Coastgons: regional coastal characteristics along a global hexagonal coastline grid

description: This dataset contains the global coastgon grid, covering the Earth's coastline between -37 and 48 degrees latitude in a hexagonal cell grid. Each Coastgon (hexagonal coastal cell) has a diameter of around 50 km (although this varies with almost all Coastgon diameters between 45 and 55 km). Each coastgon is characterized by 22 coastal indicators derived from state-of-the-art global datasets, spanning hydrodynamic, atmospheric, geophysical, habitat, and human processes. For more details on the derivation and background of the data, the reader is refered to the accompanying publication:<br>Christiaanse, J.C., Antolinez, J.A.A., Luijendijk, A.P., Athanasiou, P., Duarte, C.M., and Aarninkhof, S. (2023). Distribution of global sea turtle nesting explained from regional-scale coastal characteristics. Scientific Reports (accepted for publication). https://doi.org/10.1038/s41598-023-50239-5
DOI: 10.34740/kaggle/dsv/7295739
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.24460741
title: Kneeling Isometric Plantar Flexor Test Peak Force Data.xlsx

description: This spreadsheet contains anonymised peak force data for the kneeling isometric plantar flexor test (KIPFT).The data were collected on Hawkin Dynamics force plates and analysed by their software. Here is the link to the Hawkin Dynamics metric database that explains how peak force was measured: https://www.hawkindynamics.com/hawkin-metric-databaseEthics approval was granted from the author's institution and informed consent was provided by each player for their anonymised data to be uploaded to this repository for research use.This data was used for the following published study: https://www.mdpi.com/2411-5142/8/4/164.
DOI: 10.5281/zenodo.10300363
title: High-frequency wind (u, w, v, Ts) and gas concentration measurements of CO2 and H2O over an agricultural field in Braunschweig, Germany

description: This dataset contains high-frequency eddy covariance (EC) measurements taken from a flat agricultural field at the Thünen Institute in Braunschweig, Germany (52.30° N, 10.45° E). The data collection period spanned 12 days, from July 11, 2020, to July 25, 2020, resulting in 606 30-minute intervals.

Included in the dataset are 3D wind velocity data, recorded using a uSonic-3 Class A sonic anemometer from Metek GmbH. Additionally, the dataset provides gas concentration measurements for carbon dioxide (CO2) and water vapor (H2O), captured using an LI-7500A open-path infra-red gas analyzer from LI-COR Biosciences GmbH, Germany.

Variables in the dataset




Variable Name
Description
Units




time
Unique time stamp (POSIXct format)
Seconds since Unix epoch


CO2
Wet molar density of carbon dioxide
µmol m⁻³


H2O
Wet molar density of water vapor
mmol m⁻³


Ts
Sonic temperature
Kelvin


u, v, w
3D wind velocity components
m s⁻¹




 

 







The dataset is in RDS format (version 3), compatible with R version 3.5.0 or higher.

RDS is a binary file format native to the R programming environment
DOI: 10.5281/zenodo.10427195
title: Molecular Understanding of the Critical Role of Alkali Metal Cations in CO2RR Initiation on Cu(100) Surface

description: The representative AIMD trajectories generated when simulating the CO2RR initiation processes on Cu(100) surface evaluating the effect of alkali metal cations.
DOI: 10.5281/zenodo.10427196
title: Molecular Understanding of the Critical Role of Alkali Metal Cations in CO2RR Initiation on Cu(100) Surface

description: The representative AIMD trajectories generated when simulating the CO2RR initiation processes on Cu(100) surface evaluating the effect of alkali metal cations.
DOI: 10.6084/m9.figshare.24912525
title: Force Plate Normative Data for Isometric Knee Flexor and Plantar Flexor Peak Force Capabilities of English Football League Players

description: This spreadsheet contains anonymised peak force and relative peak force data obtained by a force plate system for the isometric knee flexor tests performed with 30 and 90 degrees of knee flexion and the kneeling isometric plantar flexor test. The sample is professional English football league players who completed in League 2 (4th tier) or National League (5th tier) at the time of testing. All together, four football clubs participated in the testing (1 League 2 and 3 National League) to provide a combined sample of 91 players. Following a dynamic warm-up, three trials of each of these tests were performed unilaterally and with maximum-effort at the beginning of the pre-season training period (2023-24 season). The tests were performed in a randomised order with around 30-60 seconds of rest between trials and at least 3-5 minutes of rest given between tests. Only the mean value across the three trials performed are presented in this spreadsheet. The data were collected on Hawkin Dynamics force plates and analysed by their software. Here is the link to the Hawkin Dynamics metric database that explains how each metric included in the spreadsheet was measured: https://www.hawkindynamics.com/hawkin-metric-databaseEthics approval was granted from the author's institution and informed consent was provided by each player for their anonymised data to be uploaded to this repository for research use.
DOI: 10.5281/zenodo.5883781
title: Potential and realized distribution at 30m for Stone pine (Pinus pinea) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the stone pine (Pinus pinea, L.) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:



	
2000 - 2002,
	
2002 - 2006,
	
2006 - 2010,
	
2010 - 2014,
	
2014 - 2018,
	
2018 - 2020.



Files are named according to the following naming convention, e.g:



	
veg_pinus.pinea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3



with the following fields:



	
theme: e.g. veg,
	
species code: e.g. pinus.pinea,
	
species distribution type: e.g. anv (= actual natural vegetation),
	
species estimation method: e.g. eml,
	
species estimation type: e.g. md ( = model deviation),
	
resolution in meters e.g. 30m,
	
reference depths (vertical dimension): e.g. 0..0cm,
	
reference period begin end: e.g. 2000..2002,
	
reference area: e.g. eumap,
	
coordinate system: e.g. epsg3035,
	
data set version: e.g. v0.3.



For each species is then easy to identify probability and uncertainty distribution maps:



	
veg_pinus.pinea_anv.eml_md: model uncertainty for realized distribution
	
veg_pinus.pinea_anv.eml_p: probability for realized distribution
	
veg_pinus.pinea_pnv.eml_md: model uncertainty for potential distribution
	
veg_pinus.pinea_pnv.eml_p: probability for potential distribution



Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both SLD and QML format.


If you would like to know more about the creation of the maps and the modeling:



	
watch the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL)
	
access the repository with our R/Python scripts and follow the instructions (GitLab)
	
access the repository with the training dataset (Zenodo)
	
read the tutorial with executable code on our GitBook



A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.5281/zenodo.5883782
title: Potential and realized distribution at 30m for Stone pine (Pinus pinea) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the stone pine (<em>Pinus pinea</em><em>, L.</em>) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_pinus.pinea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>pinus.pinea</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.2</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_pinus.pinea_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_pinus.pinea_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_pinus.pinea_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_pinus.pinea_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is under preparation. You can access the preprint on ResearchSquare. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.5281/zenodo.6966748
title: Potential and realized distribution at 30m for Stone pine (Pinus pinea) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the stone pine (Pinus pinea, L.) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:



	
2000 - 2002,
	
2002 - 2006,
	
2006 - 2010,
	
2010 - 2014,
	
2014 - 2018,
	
2018 - 2020.



Files are named according to the following naming convention, e.g:



	
veg_pinus.pinea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3



with the following fields:



	
theme: e.g. veg,
	
species code: e.g. pinus.pinea,
	
species distribution type: e.g. anv (= actual natural vegetation),
	
species estimation method: e.g. eml,
	
species estimation type: e.g. md ( = model deviation),
	
resolution in meters e.g. 30m,
	
reference depths (vertical dimension): e.g. 0..0cm,
	
reference period begin end: e.g. 2000..2002,
	
reference area: e.g. eumap,
	
coordinate system: e.g. epsg3035,
	
data set version: e.g. v0.3.



For each species is then easy to identify probability and uncertainty distribution maps:



	
veg_pinus.pinea_anv.eml_md: model uncertainty for realized distribution
	
veg_pinus.pinea_anv.eml_p: probability for realized distribution
	
veg_pinus.pinea_pnv.eml_md: model uncertainty for potential distribution
	
veg_pinus.pinea_pnv.eml_p: probability for potential distribution



Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both SLD and QML format.


If you would like to know more about the creation of the maps and the modeling:



	
watch the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL)
	
access the repository with our R/Python scripts and follow the instructions (GitLab)
	
access the repository with the training dataset (Zenodo)
	
read the tutorial with executable code on our GitBook



A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.17632/hd9pf4hmhp.1
title: bascula automática

description: Báscula de pesaje para lisímetro 

En este repositorio se comparte la información requerida para desarrollar una báscula de pesaje utilizando un micro controlador arduino, una celda de carga de 5 kg de capacidad y un amplificador HX711. 

El código se desarrolló basado en la librería HX711_ADC 24-Bit Analog-to-Digital Converter for Weight Scales de Olav Kallhovd sept2017. El valor de calibración indicado en el código que se comparte en este repositorio debe ser sustituido por aquel que se determine especificamente para la celda de carga que otros desarrolladores implementen para desarrollar la báscula. 

Adicionalmente, se incluyen líneas de código para que la celda de carga trabaje en conjunto con una reloj, una memoria mSD y un display LCD 16x2. 

Para facilitar el montaje de los componentes electrónicos se comparte un archivo para imprimir una tarjeta PCB y un esquema del armazón de acero que se fabricó para el montaje de la celda de carga.
DOI: 10.17632/8f2tvn5fvh.1
title: Original data for the manuscript entitled "Diverse space-weathered rims on ilmenite: constraining the exposure history depth profiles of Chang’e-5 lunar soils"

description: The original EELS, and TEM data for the manuscript entitled "Diverse Space-Weathered Rims on Ilmenite Grains: Constraining the Exposure History Depth Profiles of Chang’e-5 Lunar Soil".
DOI: 10.6084/m9.figshare.22047299.v1
title: IFC_Language_Inhibition_DATA.7z

description: Structural (VBM), functional (fMRI) and behavioral data relative to the preprint "<strong>What happens to the inhibitory control functions of the right inferior frontal cortex when this area is dominant for language?</strong>"
DOI: 10.6084/m9.figshare.22047299
title: What happens to the inhibitory control functions of the right inferior frontal cortex when this area is dominant for language?

description: Structural (VBM), functional (fMRI) and behavioral data relative to the research article "<b>What happens to the inhibitory control functions of the right inferior frontal cortex when this area is dominant for language?</b>"
DOI: 10.6084/m9.figshare.22047299.v2
title: Structural (VBM), functional (fMRI) and behavioral data relative to the research article "<b>What happens to the inhibitory control functions of the right inferior frontal cortex when this area is dominant for language?</b>"

description: Structural (VBM), functional (fMRI) and behavioral data relative to the research article "<b>What happens to the inhibitory control functions of the right inferior frontal cortex when this area is dominant for language?</b>"
DOI: 10.6084/m9.figshare.24720021
title: CBG-yolov5s.zip

description: Metal surface corrosion detection
DOI: 10.5281/zenodo.10255646
title: Bath Abbey Door

description: The main door of the Abbey in Bath, UK.
My 3D model from photos generated with photogrammetry software 3DF Zephyr v6.000 processing 394 images

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10255647
title: Bath Abbey Door

description: The main door of the Abbey in Bath, UK.
My 3D model from photos generated with photogrammetry software 3DF Zephyr v6.000 processing 394 images

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10255649
title: Queen Elizabeth I Of England (1533-1603)

description: I have all this historically accurate junk on Elizabethan England trapped in my old head and no use for it anymore. so it looks like sketchfab will get some of it.

Elizabeth I was Queen of England and Ireland from 17 November 1558 until her death on 24 March 1603. Sometimes called The Virgin Queen, Gloriana or Good Queen Bess, Elizabeth was the last of the five monarchs of the House of Tudor.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10255650
title: Queen Elizabeth I Of England (1533-1603)

description: I have all this historically accurate junk on Elizabethan England trapped in my old head and no use for it anymore. so it looks like sketchfab will get some of it.

Elizabeth I was Queen of England and Ireland from 17 November 1558 until her death on 24 March 1603. Sometimes called The Virgin Queen, Gloriana or Good Queen Bess, Elizabeth was the last of the five monarchs of the House of Tudor.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10255651
title: Sitting Bull

description: Sitting Bull was a Hunkpapa Lakota leader who led his people during years of resistance to United States government policies. He was killed by Indian agency police on the Standing Rock Indian Reservation during an attempt to arrest him, at a time when authorities feared that he would join the Ghost Dance movement.

![](https://example3972.files.wordpress.com/2020/03/photo.jpg)

Source: Objaverse 1.0 / Sketchfab