cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15454/3t24re/ji7iid
title: Resultats_site02.tab

description: Résultats des simulations du site 2
DOI: 10.15454/3t24re/k4ddg0
title: Resultats_site24.tab

description: Résultats des simulations du site 24
DOI: 10.15454/3t24re/knmqqt
title: Liste_simulations_sites13-16.tab

description: Liste et description des simulations réalisées avec le modèle STICS sur les sites climatiques 13 à 16
DOI: 10.15454/3t24re/nwuus7
title: Resultats_site19.tab

description: Résultats des simulations du site 19
DOI: 10.15454/3t24re/p2wf65
title: Resultats_site05.tab

description: Résultats des simulations du site 5
DOI: 10.15454/3t24re/pbp8xo
title: Resultats_site04.tab

description: Résultats des simulations du site 4
DOI: 10.15454/3t24re/pomg7i
title: Liste_sites.tab

description: Descriptif des 24 sites français métropolitains de simulation (coordonnées géographiques, pluviométrie annuelle, bilan annuel P-ETP)
DOI: 10.15454/3t24re/ptrqnr
title: Liste_sols.tab

description: Description des caractéristiques des sols utilisés dans les simulations
DOI: 10.15454/3t24re/pucl7c
title: Resultats_site23.tab

description: Résultats des simulations du site 23
DOI: 10.15454/3t24re/q0pryt
title: Resultats_site01.tab

description: Résultats des simulations du site 1
DOI: 10.15454/3t24re/q2hu1u
title: Description_variables.tab

description: Description des variables d'entrée et de sortie des simulations
DOI: 10.15454/3t24re/qdw1jl
title: Resultats_site16.tab

description: Résultats des simulations du site 16
DOI: 10.15454/3t24re/rmoaif
title: Resultats_site11.tab

description: Résultats des simulations du site 11
DOI: 10.15454/3t24re/uqcpby
title: Description_Plan_simulation_EtudeCI.doc

description: Descriptif de l'étude, du plan de simulation STICS et des fichiers d'entrée et de sortie
DOI: 10.15454/3t24re/xczsws
title: Liste_simulations_sites01-04.tab

description: Liste et description des simulations réalisées avec le modèle STICS sur les sites climatiques 1 à 4
DOI: 10.15454/3t24re/xg0aaw
title: Liste_simulations_sites09-12.tab

description: Liste et description des simulations réalisées avec le modèle STICS sur les sites climatiques 9 à 12
DOI: 10.15454/3t24re/xg7rad
title: Resultats_site15.tab

description: Résultats des simulations du site 15
DOI: 10.15454/3t24re/xld58t
title: Resultats_site20.tab

description: Résultats des simulations du site 20
DOI: 10.15454/3t24re/zkw9nl
title: Resultats_site10.tab

description: Résultats des simulations du site 10
DOI: 10.15454/3t24re/zr6dfy
title: Liste_tecs_cp.tab

description: Description des itinéraires techniques des cultures de vente semées après l'interculture
DOI: 10.15454/3uxwb4/lxslkv
title: rpg_complete_2018_d15.zip

description: :unav
DOI: 10.15454/3xfr49/noakut
title: results_LVEB_carvacrol_upload.xlsx

description: :unav
DOI: 10.15454/3xfr49/qdhy7i
title: results_LVEB_carvacrol_upload_test_2_nov_2021.xlsx

description: :unav
DOI: 10.15454/3ztcf5/7ydc5d
title: economic_info.tab

description: :unav
DOI: 10.15454/3ztcf5/94z6tv
title: Soils.rar

description: :unav
DOI: 10.15454/3ztcf5/cfylvt
title: Indicators.tab

description: :unav
DOI: 10.15454/3ztcf5/fwqtw8
title: Agricultural fields.rar

description: :unav
DOI: 10.15454/3ztcf5/ihbaff
title: Survey_Decision_Rules_MAELIA.docx

description: :unav
DOI: 10.15454/3ztcf5/jn22ht
title: Farmer_survey.tab

description: :unav
DOI: 10.15454/3ztcf5/mekfeg
title: Crop_parameters.tab

description: :unav
DOI: 10.15454/3ztcf5/n77ooz
title: MAELIA_livestock_raw.tab

description: :unav
DOI: 10.15454/3ztcf5/o7pxrq
title: Administrative divisions.rar

description: :unav
DOI: 10.15454/3ztcf5/qiflvd
title: MAELIA_crop_raw.tab

description: :unav
DOI: 10.15454/3ztcf5/r3sq8t
title: irri_equi.tab

description: :unav
DOI: 10.15454/3ztcf5/tlyfer
title: Water catchment area.rar

description: :unav
DOI: 10.15454/3ztcf5/zcu6vy
title: DecisionRules.csv

description: :unav
DOI: 10.15454/3ztcf5/zs2pyb
title: Weather data series.rar

description: :unav
DOI: 10.15454/48436v/0q7ast
title: All-Minc3s-PPN-spec-nohit.txt

description: PPN-specific M. incognita proteins with no hits against NR
DOI: 10.15454/48ifbq/kng1ae
title: NoAW_D5-4_Annex_8-4.docx
DOI: 10.15454/48ifbq/wzycem
title: NoAW_D5-4_Annex_8-4.pdf
DOI: 10.15454/4bq0lw/oqijiv
title: data-Fourcaud.tab

description: :unav
DOI: 10.15454/4dkvvv/sn1n4w
title: Raw data Liu et al 2020.tab

description: This dataset corresponds to the SSR (microsatellite) genotypes of a large set of Prunus brigantina and Prunus cerasifera accessions, those accessions were genotyped with a set of 24 common SSR markers, previously used in Armeniaca species (Liu et al, 2019. https://doi.org/10.15454/560LSH). The dataset was used to infer the relationship of P. brigantina (Briançon plum or Briançon apricot) with Armeniaca (apricot) and Prunus (plums) species, based on microsatellite markers and approximate Bayesian computation.
DOI: 10.15454/4gnnos/0qsewx
title: readmeDataBDETM.txt
DOI: 10.15454/4gnnos/3yp9pa
title: bdetm_pra_9000.tab
DOI: 10.15454/4gnnos/oggoji
title: bdetm_pra_9010.tab
DOI: 10.5281/zenodo.3629692
title: Replication Package of a Paper

description: Replication Package of Order in Chaos: Prioritizing Mobile App Reviews using Consensus Algorithms paper
DOI: 10.5281/zenodo.3629693
title: Replication Package of a Paper

description: Replication Package of Order in Chaos: Prioritizing Mobile App Reviews using Consensus Algorithms paper
DOI: 10.5281/zenodo.3629772
title: Set de datos y códigos en R para DataViz

description: Set de datos y código en R para el curso de <em>Tratamiento y visualización de datos en la Humanidades Digitales.</em> <code>stylometry_sample.csv</code> ha sido extraído de Christof Schöch, <em>Bibliography on Stylometry</em>, 2017, dataset (Version v.0.1.3 10.5281), DOI: 10.5281/zenodo.835190.
DOI: 10.25919/5e30ba386311f
title: Copper Nanoparticle Data Set

description: This is a set of 4000 copper (Cu) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures and growth rates. All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and energetic properties (see Supporting Attachments). Sizes range from 133 atoms to 19591 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final two columns in the accompanying csv file are target labels, providing the total energy and the excess formation energy. Other features can also be used as labels as desired.
DOI: 10.5281/zenodo.3629694
title: Digitālo humanitāro zinātņu resursu kartējums

description: Institūcijām izsūtīto anketu atbildes apvienotas ar IZM veikto kartējumu par digitālo humanitāro zinātņu resursiem Latvijā. Viegli filtrētas izņemot datu laukus ar sevišķi nepilnīgiem vai neadekvātiem datiem.
DOI: 10.7910/dvn/rlgoke/1ualgt
title: (1) main.do

description: Replicates results in main text
DOI: 10.7910/dvn/rlgoke/gpg7e1
title: owenli_log.log

description: :unav
DOI: 10.7910/dvn/rlgoke/nohugq
title: (2) appendix.do

description: Replicates results in supplemental appendix
DOI: 10.7910/dvn/rlgoke/vae4yh
title: owenli_data.tab

description: Dataset
DOI: 10.25387/g3.11653461.v2
title: Supplemental Material for Gamez et al., 2020

description: Figure 1 Global dynamics of gene expression.Figure 2 Soft clustering and principal component analysis on <i>Ae. albopictus</i> genes. Figure 3 Orthology analysis of <i>Ae. aegypti</i> and <i>Ae. albopictus</i> samples across corresponding developmental time points.Figure S1 Read mapping statistics and read count data across all developmental stages.Figure S2 Expression dynamics of protein genes involved in miRNA, siRNA and piRNA pathways.Figure S3 E-value score distribution for best reciprocal BLAST hits for <i>Ae. aegypt</i>i and <i>Ae. albopictus </i>orthologs.Figure S4 Sample correlations of each developmental time point between <i>Ae. aegypti</i> and <i>Ae. albopictus.</i>Figure S5 MA plots depicting expression of orthologous genes in sex specific tissues.Figure S6 MA plots depicting expression of orthologous genes in blood-fed female ovaries and carcasses at different 12-hr time points.Figure S7 MA plots depicting expression of orthologous genes during embryogenesis of <i>Ae. albopictus</i> compared to <i>Ae. aegypti</i>. Figure S8 MA plots depicting expression of orthologous genes in the larval instars and diapause samples of <i>Ae. albopictus</i> compared to <i>Ae. aegypti</i>. Table S1 Summary of sequenced datasets. Table S2 Gene descriptions of <i>Ae. albopictus</i> loci. Table S3 Read mapping analysis of <i>Ae. albopictus</i> transcripts. Table S4 Detected counts, TPM, and FPKM of each developmental stage. Table S5 Complete developmental transcriptome transcripts of <i>Ae. albopictus</i>. Table S6 Pearson correlation matrix. Table S7 Gene ontology enrichment analysis of <i>Ae. albopictus</i> clusters 1 through 20. Table S8 AALF genes mFuzz cluster membership and descriptions. Table S9 Female-biased genes. Table S10 Male-biased genes. Table S11 Genes involved in small RNA production. Table S12 Best reciprocal hits orthology between <i>Ae. albopictus</i> and <i>Ae. aegypti</i>. Table S13 Count summary of <i>Ae. albopictus</i> reads mapping to orthologs. Table S14 Pearson correlation values of <i>Ae. aegypti </i>and <i>Ae. albopictus </i>at each developmental stage. Table S15 Upregulated genes in <i>Ae. aegypti</i> and <i>Ae. albopictus </i>expressed orthologs. Table S16 <i>Ae. aegypti-Ae. albopictus</i> male testes and carcass raw DESeq2 results. Table S17 <i>Ae. aegypti-Ae. albopictus</i> pupae raw DESeq2 results. Table S18 <i>Ae. aegypti-Ae. albopictus</i> female NBF and PBM ovary DESeq2 results. Table S19 <i>Ae. aegypti-Ae. albopictus</i> female NBF and PBM carcass DESeq2 results. Table S20 <i>Ae. aegypti-Ae. albopictus</i> embryogenesis DESeq2 results. Table S21 <i>Ae. aegypti-Ae. albopictus</i> larval stages and diapause raw DESeq2 results.File S1 Script for processing count data produced by featureCountsFile S2 Script used for parsing out BLAST outputFile S3 Script used to identify best reciprocal match
DOI: 10.6073/pasta/6cce923ed46a0ae22f034f7b1acc9636
title: PBG06 Cattle grazing and cattle performance in the Patch-Burn Grazing experiment at Konza Prairie

description: PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on monitoring (1) the dynamics of cattle grazing on each of two sets of three pastures burned each year on a rotating basis and (2) cattle performance including cow weight gain, body condition, and reproductive performance and calf weight gains.
DOI: 10.7910/dvn/gcixj3/d0c39z
title: Repository data_pre-warming01_Pang.tab

description: Data file in support of study results for project investigating pre-warming to limit hypothermia induced by general anesthesia in rats. Paper submitted to PLOS One.
DOI: 10.5281/zenodo.3629752
title: Emotion recognition HD - Data and R code

description: Data and R code - <strong>Recognition of emotion from subtle and non-stereotypical dynamic facial expressions in Huntington's diseaseRecognition of emotion from subtle and non-stereotypical dynamic facial expressions in Huntington's disease</strong>
DOI: 10.7910/dvn/m0wbem/b649vj
title: GJP PSRM Appendix Replication Data.tab

description: :unav
DOI: 10.7910/dvn/m0wbem/ec44o0
title: GJP PSRM Senate Replication Data.tab

description: :unav
DOI: 10.7910/dvn/m0wbem/ihlmjk
title: README.txt

description: :unav
DOI: 10.7910/dvn/m0wbem/kafscr
title: GJP PSRM Replication Overview and Codebook.pdf

description: :unav
DOI: 10.7910/dvn/m0wbem/mqe0ih
title: GJP PSRM Replication Results.smcl

description: :unav
DOI: 10.7910/dvn/m0wbem/mt283i
title: GJP PSRM Committees Replication Data.tab

description: :unav
DOI: 10.7910/dvn/m0wbem/de6ktg
title: GJP PSRM Replication Code.do

description: :unav
DOI: 10.7910/dvn/im5tm4/txlwe4
title: SA_identify_best_groupnum_example.py

description: An example for the simulated annealing process
DOI: 10.5281/zenodo.3629633
title: Test results and analysis of whitelisted URLs in Jammu and Kashmir, January 2020

description: <strong>Version 2:</strong> This dataset contains an analysis of a whitelist comprising 301 entries issued by the Home Department, Government of Jammu and Kashmir on 24 January 2020 [Order number: Home-05 (TSTS) of 2020]. The department issued an order with the first version of this whitelist in response to a Supreme Court judgement dated 10 January 2020 (<em>Anuradha Bhasin vs. Union of Indian and Ors.</em>) that directed the Government of India to review the blanket suspension of Internet services in Jammu and Kashmir since 5 August 2019. <strong>Version 1:</strong> The first version of the whitelist (dated 18 January 2020), and this dataset by extension, comprised 153 entries. The Home Department states in its orders that this whitelist will be continually updated; the next update may be issued on 31 January or earlier. This preliminary analysis was conducted by Rohini Lakshané and Prateek Waghre from 22 and 26 January 2020 IST, to empirically determine whether the whitelisted websites and services would be practically usable for an ordinary resident of Jammu and Kashmir at the time of writing. A Chrome browser extension was used to simulate access to only those URLs that are mentioned in the government order. A detailed description of the method, its limitations, and the full analysis of the findings has been published on Medianama (Even the 301 whitelisted sites in Jammu and Kashmir are not entirely accessible: An analysis). For information on how to read this dataset, refer to the tab entitled "About this sheet". A numerical summary of the findings of this analysis is present in the tab entitled "Summary of findings". Data provided AS-IS, without warranty as to accuracy or completeness. This dataset has been released under the Creative Commons-Attribution-Share Alike (CC-BY-SA) 4.0 International License. All uses of the accompanying data and modifications and derivatives thereof must contain the following attribution: "By Rohini Lakshané and Prateek Waghre (2020)". Both versions have been uploaded in 3 file formats: PDF, XLSX and ODS.
DOI: 10.5281/zenodo.3629714
title: ePSproc: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res

description: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res - photoionization calculations with ePolyScat (ePS) + ePSproc.<br> <br> *Web version*: https://phockett.github.io/ePSdata/DABCO/DABCO_0.01-5.01eV_orb31_A1P.html<br> <br> For more details of the calculations, see readme.txt, or: About ePSdata About ePSproc About ePS
DOI: 10.5281/zenodo.3629715
title: ePSproc: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res

description: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res - photoionization calculations with ePolyScat (ePS) + ePSproc.<br> <br> *Web version*: https://phockett.github.io/ePSdata/DABCO/DABCO_0.01-5.01eV_orb31_A1P.html<br> <br> For more details of the calculations, see readme.txt, or: About ePSdata About ePSproc About ePS
DOI: 10.5281/zenodo.3629716
title: ePSproc: DABCO, HOMO ioinzation (orb 31 A1P), 0.5 - 10.5eV

description: DABCO, HOMO ioinzation (orb 31 A1P), 0.5 - 10.5eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: https://phockett.github.io/ePSdata/DABCO/DABCO_0.5-10.5eV_orb31_A1P.html<br><br>For more details of the calculations, see readme.txt, or: About ePSdataAbout ePSprocAbout ePS
DOI: 10.5281/zenodo.3629717
title: ePSproc: DABCO, HOMO ioinzation (orb 31 A1P), 0.5 - 10.5eV

description: DABCO, HOMO ioinzation (orb 31 A1P), 0.5 - 10.5eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: https://phockett.github.io/ePSdata/DABCO/DABCO_0.5-10.5eV_orb31_A1P.html<br><br>For more details of the calculations, see readme.txt, or: About ePSdataAbout ePSprocAbout ePS
DOI: 10.18739/a20g3gz3x
title: Polaris Project 2017: Soil fluxes, carbon, and nitrogen, Yukon-Kuskokwim Delta, Alaska

description: This project is integrating scientific research in the Arctic with education and outreach, with a strong central focus on engaging undergraduate students and visiting faculty from groups that have had little involvement in Arctic science to date. The central element of the project is a month-long research expedition to the Yukon River Delta in Alaska. The expedition provides a deep intellectual and cultural immersion in the context of an authentic research experience that is paramount for "hooking" students and keeping them moving along the pipeline to careers as Arctic scientists. The overarching scientific issue that drives the research is the vulnerability and fate of ancient carbon stored in Arctic permafrost (permanently frozen ground). Widespread permafrost thaw is expected to occur this century, but large uncertainties remain in estimating the timing, magnitude, and form of carbon that will be released when thawed. Project participants are working in collaborative research groups to make fundamental scientific discoveries related to the vulnerability of permafrost carbon in the Yukon River Delta and the potential implications of permafrost thaw in this region for the global climate system. This data set includes soil cores, analyzed for soil moisture, pH, ammonium, nitrate, %C, and %N from the 2017 expedition. Some cores are also paired with field fluxes or pore gas samples of methane and carbon dioxide.
DOI: 10.18739/a24746r72
title: Yukon-Kuskokwim Delta fire: soil and permafrost carbon, nitrogen, horizons, and ice structure, Alaska, 2016

description: The summer of 2015 was an extraordinary year for fire in the Arctic, including in the Yukon-Kuskokwim Delta, presaging a future where tundra and boreal fire is far more common. Remarkably, the area burned in the YK Delta in 2015 exceeds the total area burned from 1940-2014 combined. The response of the YK Delta in the first year post-fire will set the stage for longer-term changes in delta carbon storage and transport among tundra, aquatic and marine systems, and to the atmosphere. Quantifying carbon export and understanding the immediate ecosystem response to fire is critical because long-term recovery is, to a considerable degree, dependent on short-term responses. A major question that this research will address is how fire influences the amount and form of carbon transported from delta ecosystems seasonally and in the first year following fire. Ultimately, these results will inform long-term trajectories of the vulnerability and fate of delta carbon pools. This research will significantly improve our understanding of the role of fire in the loss of both modern and ancient carbon from arctic river deltas, which contain &gt;10% of the Arctic's massive permafrost carbon store. Arctic river deltas are hotspots for carbon storage, occupying &lt;1% of the pan-Arctic watershed but containing &gt;10% of carbon stored in arctic permafrost. They are also heterogeneous mosaics of linked terrestrial and aquatic ecosystems, and are susceptible to changes in land, river, and marine systems. The vulnerability of carbon stored in arctic river deltas is a major unknown and is critically important as climate warming and increasing fire frequency may make this carbon vulnerable to transport to aquatic and marine systems and to the atmosphere. The goal of this proposal is to examine the immediate effects of fire on carbon storage in the Yukon-Kuskokwim Delta and exchange between terrestrial and aquatic components of the Delta. By extension this work will yield critical insights into how the carbon balance of deltas in the arctic system will change over the coming decades as warming continues and fire frequency increases. This dataset includes soils and permafrost collected during the summer 1 year after the fires. Soil and permafrost horizons are described, and measured for bulk density, soil moisture, volumetric ice content, pH, soil organic matter content, extractable nitrogen and carbon content, and cryo-structures are described,
DOI: 10.18739/a2804xk2x
title: Polaris Project 2017: Permafrost carbon and nitrogen, Yukon-Kuskokwim Delta, Alaska

description: This project is integrating scientific research in the Arctic with education and outreach, with a strong central focus on engaging undergraduate students and visiting faculty from groups that have had little involvement in Arctic science to date. The central element of the project is a month-long research expedition to the Yukon River Delta in Alaska. The expedition provides a deep intellectual and cultural immersion in the context of an authentic research experience that is paramount for "hooking" students and keeping them moving along the pipeline to careers as Arctic scientists. The overarching scientific issue that drives the research is the vulnerability and fate of ancient carbon stored in Arctic permafrost (permanently frozen ground). Widespread permafrost thaw is expected to occur this century, but large uncertainties remain in estimating the timing, magnitude, and form of carbon that will be released when thawed. Project participants are working in collaborative research groups to make fundamental scientific discoveries related to the vulnerability of permafrost carbon in the Yukon River Delta and the potential implications of permafrost thaw in this region for the global climate system. This data set includes permafrost cores, with ammonium, nitrate, volumetric ice content, N mineralization rates, %C, and %N results from the 2017 expedition.