cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9wszr2
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-50.68873 -6.81346,-50.67604 -6.78261,-50.66662 -6.76629,-50.66657 -6.76621,-50.65838 -6.75056,-50.65835 -6.75051,-50.65267 -6.73871,-50.65264 -6.73865,-50.64499 -6.72117,-50.64496 -6.72111,-50.64495 -6.72108,-50.64001 -6.70859,-50.64 -6.70856,-50.63876 -6.70525,-50.63875 -6.70522,-50.63532 -6.6956,-50.63531 -6.69557,-50.63121 -6.68306,-50.6312 -6.68303,-50.6297 -6.67811,-50.62968 -6.67805,-50.6259 -6.66467,-50.62588 -6.6646,-50.62587 -6.66457,-50.62246 -6.65087,-50.62246 -6.65084,-50.62067 -6.64285,-50.62067 -6.64282,-50.62048 -6.64192,-50.62047 -6.64189,-50.61782 -6.62834,-50.61781 -6.62828,-50.61629 -6.61901,-50.61573 -6.61624,-50.61573 -6.6162,-50.61408 -6.60716,-50.61408 -6.60713,-50.61277 -6.59908,-50.61276 -6.59905,-50.61175 -6.59209,-50.61175 -6.59206,-50.60993 -6.57685,-50.60992 -6.5768,-50.60967 -6.57428,-50.60386 -6.56014,-50.59212 -6.42402,-50.62168 -6.29062,-50.62567 -6.28034,-50.68749 -6.16996,-50.69094 -6.16542,-50.80865 -6.05745,-50.95657 -5.99713,-51.11623 -5.99201,-51.12105 -5.99271,-51.24882 -6.03137,-51.25286 -6.03328,-51.28807 -6.05539,-51.28889 -6.05387,-51.29385 -6.05656,-51.29286 -6.05839,-51.29408 -6.05916,-51.3136 -6.06682,-51.31466 -6.06763,-51.31589 -6.06813,-51.31831 -6.07043,-51.41014 -6.14086,-51.51902 -6.19116,-51.62548 -6.29213,-51.694 -6.42188,-51.71731 -6.56674,-51.69292 -6.71143,-51.69074 -6.71777,-51.63234 -6.8319,-51.54416 -6.92502,-51.4333 -6.98963,-51.37518 -7.00405,-51.37238 -7.00508,-51.37263 -7.00584,-51.36754 -7.00753,-51.3663 -7.00773,-51.36637 -7.00803,-51.36094 -7.00939,-51.36092 -7.0093,-51.35106 -7.01294,-51.34163 -7.01517,-51.341 -7.01252,-51.30871 -7.02052,-51.30692 -7.02045,-51.30568 -7.02074,-51.3045 -7.02083,-51.28137 -7.02669,-51.26903 -7.0263,-51.26262 -7.02858,-51.23396 -7.02954,-51.22765 -7.03058,-51.22365 -7.02998,-51.1909 -7.03822,-51.19088 -7.03823,-51.17495 -7.04111,-51.1718 -7.04162,-51.10624 -7.04744,-51.10193 -7.04751,-50.96684 -7.02914,-50.94251 -7.01777,-50.94182 -7.01968,-50.93561 -7.01745,-50.90534 -7.0004,-50.84338 -6.97143,-50.84338 -6.97143,-50.82318 -6.9541,-50.80285 -6.94264,-50.79041 -6.92843,-50.77971 -6.92139,-50.77708 -6.91907,-50.7636 -6.90296,-50.76066 -6.90044,-50.75587 -6.89372,-50.68873 -6.81346)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (VU, NT)",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004113-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.epjzy2kt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (55116 records)
DOI: 10.6084/m9.figshare.27194523
title: Supplementary Table S1.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.6084/m9.figshare.27194526.v1
title: Supplementary Table S3.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.6084/m9.figshare.27194526
title: Supplementary Table S3.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.6084/m9.figshare.27194523.v1
title: Supplementary Table S1.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.6084/m9.figshare.27194535
title: Supplementary Table S2.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.6084/m9.figshare.27194535.v1
title: Supplementary Table S2.csv

description: Supplementary Material of   
<em>Lang et al. (2024). Ranking performance indicators to measure match momentum using in-play event prediction in association football.</em>
DOI: 10.25415/ujhb.27194022
title: Household debt and Happiness data

description: The research examined how happiness moderates the relationship between financial development and household debt in emerging and developing economies.
DOI: 10.15468/dl.y4hs9j
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 658 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004130-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15128/r21c18df86c
title: ParaGeo files [dataset]

description: The East Coast Basin (ECB) is a complexactive convergent marginof the North Island of New Zealand, where high overpressures in the Cretaceous to Recent stratigraphy have evolved and often near lithostatic pressures can be encountered at shallow burial depths (&lt;300 m). This study investigates the controls on overpressure generation and direct changes in mechanical properties of the sedimentary rocks as a result of rapid burial, uplift, active tectonic compression, and changes in effective stress. A regional investigation, which included analysis of the Cretaceous to Pleistocene tectono-stratigraphy, was combined with 2D and 3D seismics and well-log interpretation to understand the structural, stratigraphic and sedimentation history of the ECB and thus the main factors that could have contributed to overpressure generation and dissipation. 1D hydro-mechanical models, which capture the geological histories, were built for five key wells across the ECB to investigate the overpressure contribution generated by disequilibrium compaction and tectonic compression. Results show that the overpressure registered is significantly driven by tectonic compression as a result of the subduction of the Pacific Plate beneath the Australian Plate from the Pliocene to present-day (~6 Ma). Disequilibrium compaction has played a secondary role in overpressure generation (up to 3 MPa at 2,000 m depth). Tectonic and unloading events (e.g., erosive events) have an impact on the sediment mechanics of low permeability intervals, which are critical factors as these intervals could have changed their properties from elastic to plastic, increasing the risk of failure.
DOI: 10.15468/dl.6ttatm
title: Occurrence Download

description: A dataset containing 29730 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpes lagopus (Linnaeus, 1758)"
 ]
}

 The dataset includes 29730 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004131-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7y4d5
title: Occurrence Download

description: A dataset listing the 39 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-51.023 -5.75746,-51.02564 -5.773,-51.02564 -5.77445,-51.02112 -5.8382,-51.02086 -5.84001,-51.0146 -5.85809,-51.00826 -5.93404,-51.00607 -5.9416,-50.95296 -6.05898,-50.95186 -6.06071,-50.90523 -6.10708,-50.90195 -6.11336,-50.90027 -6.11541,-50.87916 -6.13299,-50.81214 -6.19959,-50.80774 -6.20237,-50.80221 -6.20451,-50.75211 -6.25915,-50.66545 -6.30597,-50.6408 -6.32434,-50.63608 -6.32934,-50.62698 -6.33579,-50.62229 -6.33814,-50.61716 -6.34196,-50.61142 -6.34482,-50.59904 -6.34976,-50.50351 -6.39752,-50.36712 -6.41909,-50.327 -6.41304,-50.2642 -6.41344,-50.13958 -6.37743,-50.03038 -6.30755,-50.02608 -6.30384,-49.93545 -6.19652,-49.88227 -6.06661,-49.87165 -5.92666,-49.90459 -5.79023,-49.97788 -5.67049,-49.97992 -5.6681,-50.06817 -5.58855,-50.07144 -5.58688,-50.1245 -5.49323,-50.12609 -5.49124,-50.15086 -5.4627,-50.15404 -5.45933,-50.16791 -5.44806,-50.18968 -5.42544,-50.19402 -5.41941,-50.19669 -5.41692,-50.21025 -5.40675,-50.22771 -5.38749,-50.22924 -5.38627,-50.25626 -5.36633,-50.25784 -5.36526,-50.36057 -5.31301,-50.47318 -5.28847,-50.47428 -5.28838,-50.48609 -5.28751,-50.48845 -5.28736,-50.548 -5.29267,-50.56269 -5.29117,-50.56508 -5.29134,-50.59551 -5.2945,-50.59593 -5.29456,-50.60874 -5.29808,-50.62194 -5.29925,-50.64032 -5.30675,-50.7089 -5.32557,-50.71112 -5.3265,-50.8097 -5.38355,-50.81003 -5.3838,-50.83135 -5.4011,-50.83229 -5.40191,-50.83805 -5.40458,-50.83934 -5.40556,-50.88535 -5.44581,-50.88643 -5.4469,-50.9133 -5.47782,-50.92634 -5.49048,-50.92696 -5.49126,-50.93262 -5.50149,-50.94634 -5.52107,-50.94668 -5.52159,-50.96877 -5.55958,-50.96947 -5.56093,-50.96639 -5.56252,-51.00025 -5.62373,-51.01661 -5.71992,-51.01965 -5.73144,-51.02032 -5.73584,-51.02247 -5.75192,-51.02304 -5.75692,-51.023 -5.75746)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset's 39 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004105-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13907717
title: Dataset: A review of methods to trace material flows into final products in dynamic material flow analysis - from industry shipments in physical units to monetary input-output tables (p

description: Dynamic material flow analysis (dMFA) is widely used to model stock-flow dynamics. To appropriately represent material lifetimes, recycling potentials, and service provision, dMFA requires data about the allocation of economy-wide material consumption to different end-use products or sectors, that is, the different product stocks, in which material consumption accumulates. Previous estimates of this allocation only cover few years, countries, and product groups. Recently, several new methods for estimating end-use product allocation in dMFA were proposed, which so far lack systematic comparison. We review and systematize five methods for tracing material consumption into end-use products in inflow-driven dMFA and discuss their strengths and limitations. Widely used data on industry shipments in physical units have low spatio-temporal coverage, which limits their applicability across countries and years. Monetary input–output tables (MIOTs) are widely available and their economy-wide coverage makes them a valuable source to approximate material end-uses. We find four distinct MIOT-based methods: consumption-based, waste input–output MFA (WIO-MFA), Ghosh absorbing Markov chain, and partial Ghosh. We show that when applied to a given MIOT, the methods’ underlying input–output models yield the same results, with the exception of the partial Ghosh method, which involves simplifications. For practical applications, the MIOT system boundary must be aligned to those of dMFA, which involves the removal of service flows, sector (dis)aggregation, and re-defining specific intermediate outputs as final demand. Theoretically, WIO-MFA, applied to a modified MIOT, produces the most accurate results as it excludes massless and waste transactions. In part 2 of this work, we compare methods empirically and suggest improvements for aligning MIOT-dMFA system boundaries.
DOI: 10.5281/zenodo.13907793
title: FLIR aligned - LLVIP COCO annotations [CAFF-DINO architecture]

description: Contains the annotations converted in COCO format for : 



LLVIP dataset :

FLIR-Aligned dataset : 


[Used for the CAFF-DINO dev. : CAFF-DINO: Multi-spectral object detection transformers with cross-attentionfeatures fusion, Helvig et al, 2024, CVPR workshop on Perception beyond the visible spectrum]
DOI: 10.5281/zenodo.13907794
title: FLIR aligned - LLVIP COCO annotations [CAFF-DINO architecture]

description: Contains the annotations converted in COCO format for : 



LLVIP dataset :

FLIR-Aligned dataset : 


[Used for the CAFF-DINO dev. : CAFF-DINO: Multi-spectral object detection transformers with cross-attentionfeatures fusion, Helvig et al, 2024, CVPR workshop on Perception beyond the visible spectrum]
DOI: 10.5281/zenodo.10641858
title: Input data for the OnStove Nepal model "AAchieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis"

description: This repository includes input data to run the OnStove Nepal model presented in the paper "Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis" DOI: https://doi.org/10.1016/S2542-5196(24)00209-2.

The code and automated workflow to run the model can be found in the Github repository https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal. All result files and figures can be downloaded from the permanent repository https://doi.org/10.5281/zenodo.10643983.

The "GIS_input_data/" directory includes all the geospatial datasets needed to run the model. Each dataset folder contains a Source.md file describing the dataset, source, attribution, and license. To run the model extract the data inside your "1. Data" folder in your project. 

The "Scenario_inputs/" directory includes the CSV files with the input socio- and techno-economic data for the different scenarios. Sources for the socio- and techno-economic data can be found in the supplementary material of the related publication in the link https://doi.org/10.1016/S2542-5196(24)00209-2. To run the model extract the scenario data inside your "2. Scenario inputs" folder in your project.
DOI: 10.5281/zenodo.10641859
title: Input data for the OnStove Nepal model "AAchieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis"

description: This repository includes input data to run the OnStove Nepal model presented in the paper "Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis" DOI: https://doi.org/10.1016/S2542-5196(24)00209-2.

The code and automated workflow to run the model can be found in the Github repository https://github.com/Open-Source-Spatial-Clean-Cooking-Tool/OnStove-Nepal. All result files and figures can be downloaded from the permanent repository https://doi.org/10.5281/zenodo.10643983.

The "GIS_input_data/" directory includes all the geospatial datasets needed to run the model. Each dataset folder contains a Source.md file describing the dataset, source, attribution, and license. To run the model extract the data inside your "1. Data" folder in your project. 

The "Scenario_inputs/" directory includes the CSV files with the input socio- and techno-economic data for the different scenarios. Sources for the socio- and techno-economic data can be found in the supplementary material of the related publication in the link https://doi.org/10.1016/S2542-5196(24)00209-2. To run the model extract the scenario data inside your "2. Scenario inputs" folder in your project.
DOI: 10.15468/dl.sc7ysa
title: Occurrence Download

description: A dataset containing 5537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Frankenia pulverulenta L.",
 "Year 1000-2024"
 ]
}

 The dataset includes 5537 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004134-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13907768
title: UV-Vis Molecule XXX

description: UV-Vis spectrum of Molecule of synthesis HRI-XXX used for characterisation of the molecule and confirmation of purity.
DOI: 10.5281/zenodo.13907769
title: UV-Vis Molecule XXX

description: UV-Vis spectrum of Molecule of synthesis HRI-XXX used for characterisation of the molecule and confirmation of purity.
DOI: 10.15468/dl.fz946n
title: Occurrence Download

description: A dataset containing 8956 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frankenia pulverulenta L."
 ]
}

 The dataset includes 8956 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004135-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3bnpk
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((74.27267 35.37707,74.00149 31.85161,73.54951 28.41654,71.7133 20.8961,72.73834 13.72087,76.269 8.76655,77.80655 7.28594,81.51808 11.79334,89.73546 17.31073,96.07459 12.55639,97.30719 7.15639,99.36154 5.21944,101.18745 2.3097,102.4 1.92523,103.73085 0.9197,105.56446 1.30417,104.7068 5.20799,101.2466 9.20053,100.92128 11.65521,105.41659 8.75692,109.11339 10.08776,111.33886 12.38717,109.03206 16.64588,106.31122 21.20034,93.32744 27.84434,88.17094 28.10543,83.43104 28.25438,80.56335 29.51753,78.6857 30.78067,77.25186 31.63415,76.26183 32.65832,75.06696 33.88733,74.27267 35.37707))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Careya Roxb."
 ]
}

 The dataset includes 219 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004132-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13907819
title: Data for a systematic literature review

description: This data analysis was conducted in the context of a systematic literature review with the title "Understanding innovation and sustainability in digital organizations: a mixed-method approach". Each tab shows the five filter criteria and the output as well as the vhb-Jourqual ranking as well as the final list of papers and their analysis.
description: No.



Filter



Description



Number of Publications



Amount of exclusions





1



Keyword search



Sustainability OR Sustainable AND Digital AND Innovation



3.099



 





2



Duplicate removing



elimination of duplicates



2.337



-762





3



Title fit



elimination of titles without all threeDIS-constructs



112



-2.225





4



Ranking fit



elimination of journals ranked below VHB-JOURQUAL-C



43



-69





5



Abstract fit



elimination of papers not focusing on one of the three paper goals, having a macro or an industry focus



20



-23
DOI: 10.5281/zenodo.13907820
title: Data for a systematic literature review

description: This data analysis was conducted in the context of a systematic literature review with the title "Understanding innovation and sustainability in digital organizations: a mixed-method approach". Each tab shows the five filter criteria and the output as well as the vhb-Jourqual ranking as well as the final list of papers and their analysis.
description: No.



Filter



Description



Number of Publications



Amount of exclusions





1



Keyword search



Sustainability OR Sustainable AND Digital AND Innovation



3.099



 





2



Duplicate removing



elimination of duplicates



2.337



-762





3



Title fit



elimination of titles without all threeDIS-constructs



112



-2.225





4



Ranking fit



elimination of journals ranked below VHB-JOURQUAL-C



43



-69





5



Abstract fit



elimination of papers not focusing on one of the three paper goals, having a macro or an industry focus



20



-23
DOI: 10.17632/mk9bymzrv9.1
title: Bloznelis (2024) Salmon futures as forecasts

description: Data for a working paper by Daumantas Bloznelis titled "Salmon futures as forecasts" as of 2024-10-08
DOI: 10.17632/34j4kcjc82.1
title: The phosphatase PP1 sustains global transcription by promoting RNA polymerase II pause release

description: RNA polymerase II progression from initiation to elongation is driven in part by a cascade of protein kinases acting on the core transcription machinery. Conversely, the corresponding phosphatases, notably PP2A and PP1—the most abundant serine-threonine phosphatases in cells—are thought to mainly impede polymerase progression, respectively restraining pause release at promoters and polymerase elongation at terminators. Here we reveal an unexpected role of PP1, within the PNUTS-PP1 complex, in sustaining global transcriptional activation. Acute disruption of PNUTS-PP1 leads to severe defects in the release of paused polymerase and subsequent downregulation for the majority of transcribed genes. Mechanistically, PNUTS-PP1 promotes pause release by dephosphorylating multiple substrates, including the 7SK snRNP subunit MEPCE, a known regulator of pause release. PNUTS-PP1 exhibits antagonistic functions compared to INTAC phosphatase, which generally inhibits pause release. Our research thus highlights the opposing roles of PP1 and PP2A in modulating genome-wide transcriptional pausing and gene expression.
DOI: 10.17632/fhr6pwvs9p.1
title: molecular docking

description: Molcular Docking
DOI: 10.17632/sm7p9j736k.1
title: Dataset for Forecasting the climate-conflict risk in Africa

description: Dataset and scripts for replicating the paper "Forecasting the climate-conflict risk in Africa along climate-related scenarios and multiple socio-economic drivers"

Caterina Conigliani (Roma Tre University); Valeria Costantini (Roma Tre University); Elena Paglialunga (Roma Tre University); Andrea Tancredi (La Sapienza University)

Abstract
This study investigates how climate change might impact economic development in the future through its effects on violence, addressing the gap in research on long-term conflict risk assessment. Using geocoded data (1° resolution) on climate and socio-economic indicators covering 1990-2050, we employ a forecasting recursive model to examine the probability and intensity of different types of conflict, under various socio-economic and climate scenarios. Our analysis reveals that climate change has both direct and indirect effects on violence, highlighting the key role of the agricultural channel, the spillover across neighbouring areas and the socio-economic context. These findings offer new insights into adaptation strategy and provide implications for the need to jointly account for the complex interactions between climate conditions, socio-economic factors, and conflict dynamics.
DOI: 10.17632/5zs4s7gpct.1
title: Comprehensive Analysis and Recovery of Bioactive Compounds from the inflorescence bracts of Brazil's Sweetest Banana (Musa acuminata Cavendish) - data set

description: Relevant raw data of the article named "Comprehensive Analysis and Recovery of Bioactive Compounds from the inflorescence bracts of Brazil's Sweetest Banana (Musa acuminata Cavendish) ". data for antioxidant capacity analysis with the respective curve; standard curves of essential fatty acids and reading area of ​​each sample; LOD, LOQ, means, and standard deviations of the analysis of phytochemical compounds; Extraction curves for MAE, PLE, and SFE for the solvents: water, ethanol and ethanol and water mixture.