Find research datasets worth reusing

opencc-by-sa-2.5Apr 2016View details →

Long bladed axe, Birka

Long bladed axe made of iron from grave Bj 749 Birka, Björkö http://historiska.se/upptack-historien/object/1138773 Source: Objaverse 1.0 / Sketchfab

opencc-by-sa-2.5Jan 2018View details →

West Kennet Long Barrow

"The West Kennet Long Barrow is a Neolithic tomb or barrow, situated on a prominent chalk ridge, near Silbury Hill, one-and-a-half miles south of Avebury in Wiltshire, England. " http://www.english-heritage.org.uk/visit/places/west-kennet-long-barrow/ Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Nov 2015View details →

Dataset from 'Size Distribution of Sperm Whales Acoustically Identified During Long Term Deep-Sea Monitoring in the Ionian Sea'

This dataset is from the study: Caruso Francesco, Virginia Sciacca, Giorgio Bellia, Emilio De Domenico, Giuseppina Larosa, Elena Papale, Carmelo Pellegrino, Sara Pulvirenti, Giorgio Riccobene, Francesco Simeone, Fabrizio Speziale, Salvatore Viola and Gianni Pavan. “Size Distribution of Sperm Whales Acoustically Identified During Long Term Deep-Sea Monitoring in the Ionian Sea.” The archive named NEMO-OvDE Dataset.zip contains the results of an automatic analysis developed and applied to the data acquired by the Ocean noise Detection Experiment. In detail, a subsample of the large dataset was processed to assess the size of the recorded sperm whales, by measuring the structure of their acoustic signals. The dataset consists in several plots generated by the algorithm described in the cited research article. The files are in PNG format. These data were used to study the size distribution of the sperm whale recorded during the OvDE Passive Acoustic Monitoring. For further information: riccobene@lns.infn.it (Principal Investigator of the Ocean noise Detection Experiment)

opencc-by-sa-4.0Mar 2017View details →

Supporting data for "Synthesizing long-term sea level rise projections - the MAGICC sea level model v2.0"

This is supporting data and configuration information to reproduce results from the MAGICC sea level model (DOI: 10.5281/zenodo.572395) presented in Nauels et al. (2017), using version 7.0 beta of the simple climate carbon-cycle model MAGICC (Meinshausen et al. 2011). For a compiled or source code version of MAGICC including the sea level model (git hash: c5c4e05518ed99f2bd53e2c6e68d238bbd6f17ec), please contact alexander.nauels@climate-energy-college.org. MAGICC input data and CMIP5 reference datasets are provided as a zip-file. REFERENCE DATASETS For MAGICC version 7.0 beta, the ocean model has been updated to emulate CMIP5 ocean temperatures and thermal expansion. The calibration results shown in Nauels et al. (2017) are based on potential ocean temperature (thetao) and thermal expansion (zostoga) reference datasets that are provided the 'data' directory. Reference datasets for the other sea level components have to be requested from the authors of the corresponding studies (Marzeion et al. 2014, Fettweis et al. 2013, Nick et al. 2013, Ligtenberg 2013, Levermann 2014). All relevant CMIP5 MAGICC input (.IN) is provided in the 'run' directory. MAGICC MODEL CONFIGURATION To customize a MAGICC run, namelist entries have to be modified in the configuration file 'MAGCFG_USER.CFG'. In order to select a CMIP5 model specific MAGICC ocean calibration, the model setup has to be called with the 'FILE_TUNINGMODEL_XX' entry, e.g. 'OCNTUNE_CCSM4' for the CCSM4 model. Automatically, the corresponding initial ocean temperature profile and model specific ocean layer area fractions will be applied. For prescribing the respective surface air temperatures, the namelist flag 'CORE_PRESCRTEMP_APPLY' has to be set to 1, with the model specific temperature dataset defined by 'FILE_PRESCR_SURFACETEMP', e.g. 'CORE_PRESCRTEMP_CMIP5_CCSM4_RCP85.IN'. The following MAGICC namelist entries have to be adapted in order to fully reproduce CMIP5 consistent results presented in Nauels et al. (2017): [...] e.g. FILE_TUNINGMODEL_1 = "OCNTUNE_CCSM4", [...] CORE_SWITCH_TEMPADJUST_OCN2ATM = 1, CORE_SWITCH_OCN_TEMPPROFILE = 2, CORE_SWITCH_OCN_AREAFACTOR = 1, CORE_PRESCRTEMP_APPLY = 1, e.g. FILE_PRESCR_SURFACETEMP = "CORE_PRESCRTEMP_CMIP5_CCSM4_RCP85.IN", [...] OUT_TEMPERATURE = 1, OUT_TEMPOCEANLAYERS = 1, OUT_SEALEVEL = 1, OUT_PARAMETERS = 1, [...] OUT_ASCII_BINARY = "ASCII", [...] MAGICC output is stored in the 'out' directory. Depending on the flag 'OUT_ASCII_BINARY', either ASCII or BINARY files are produced for the output parameters which are set to 1 in the namelist, e.g. 'OUT_SEALEVEL = 1'. MAGICC SEA LEVEL MODEL LICENSE This source code of the MAGICC sea level model is distributed under a Creative Commons Attribution-ShareAlike 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/legalcode). MAGICC PARENT MODEL LICENSES The MAGICC executable is provided under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license (https://creativecommons.org/licenses/by-nc-sa/3.0/). The MAGICC source code is available under a separate license agreement. Any derivatives have to be fed back to the MAGICC developers, so that users of future MAGICC versions can have the benefit of applying the model alterations, enhancements etc. Furthermore, we would like you to provide feedback, bug reports and development suggestions. REFERENCES Fettweis, X., Franco, B., Tedesco, M., van Angelen, J. H., Lenaerts, J. T. M., van den Broeke, M. R., and Gallée, H.: Estimating the Greenland ice sheet surface mass balance contribution to future sea level rise using the regional atmospheric climate model MAR, The Cryosphere, 7, 469–489, 2013. Levermann, A.,Winkelmann, R., Nowicki, S., Fastook, J. L., Frieler, K., Greve, R., Hellmer, H. H., Martin, M. A., Meinshausen, M., Mengel, M., Payne, A. J., Pollard, D., Sato, T., Timmermann, R., Wang, W. L., and Bindschadler, R. A.: Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models, Earth Syst. Dynam., 5, 271–293, 2014. Ligtenberg, S. R. M., van de Berg, W. J., van den Broeke, M. R., Rae, J. G. L., and van Meijgaard, E.: Future surface mass balance of the Antarctic ice sheet and its influence on sea level change, simulated by a regional atmospheric climate model, Climate Dynamics, 41, 867–884, 2013. Meinshausen, M., Raper, S. C. B., and Wigley, T. M. L.: Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 - Part 1: Model description and calibration, Atmospheric Chemistry and Physics, 11, 1417–1456, 2011. Nauels, A., Meinshausen, M., Mengel, M., Lorbacher, K., and Wigley, T. M. L.: Synthesizing long-term sea level rise projections – the MAGICC sea level model v2.0, Geosci. Model Dev., 2017. Nick, F. M., Vieli, A., Andersen, M. L., Joughin, I., Payne, A., Edwards, T. L., Pattyn, F., and van de Wal, R. S. W.: Future sea-level rise from Greenland’s main outlet glaciers in a warming climate, Nature, 497, 235–238, 2013.

opencc-by-4.0Nov 2024View details →

Assessing the long-term Stability of the Spielberger State-Trait Inventory trait scale over 3.5 Years

The Spielberger State Trait Anxiety Inventory (STAI) is the most cited measure of state and trait anxiety, and is routinely employed in a variety of research and clinical contexts. Here, we investigate the temporal stability as well as the convergent and discriminant validity of the German version of the STAI-T scale across multiple time points in two independent samples (105 and 120 Caucasians). We observed temporal stabilities of .42 - .67 for intervals between 20 and 41 months and from .81 - .87 for intervals of five to 12 months, with decreasing stability as the time interval increased. Temporal stability estimates of the STAI-T were similar to those of related constructs. Additionally, examining the relationships within a nomological network support the recent conclusion that the STAI-T also shares substantial variance with questionnaires measuring negative emotionality such as depression, and hence does not measure anxiety specifically – despite its name. These results provide further psychometric information on what the STAI-T actually measures and to what extent STAI-T scores are expected to be stable across longer time intervals. This is of relevance for researchers aiming, for example, to use the STAI-T scale for predicting symptom trajectories and evaluating the effectiveness of therapeutic interventions.

opencc-by-4.0Nov 2024View details →

The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark

The data support the manuscript entitled "The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark". The *.rar file contains all data used therein and can be decompressed and opened, where these file folders contain the data corresponding to their respective Figures, as they are named. The data can be used freely for scientific purposes with appropriate citation.

opencc-by-4.0Oct 2024View details →

Data for "Thermalization and hydrodynamic long-time tails in a Floquet system"

We provide the raw data and a minimal script to reproduce the figures shown in our paper  "Thermalization and hydrodynamic long-time tails in a Floquet system". The data includes the time-series of the expectation values of all 255 operators. Each time series has 301time steps. We provide the data for all three initial conditions and system sizes N = 20, N = 24 and N = 28. A mathematica notebook to create plots of the paper and beyond is provided as well. This notebook allows to explore the classification predicted in Tab. I of the paper and substitutes an appendix with 3 × 3 × 255 plots.

opencc-by-4.0Oct 2023View details →

Enabling Long-term Cycling Stability of Na3V2(PO4)3/C vs. Hard Carbon Full-cells

Battery cycling data to research paper: https://doi.org/10.26434/chemrxiv-2023-jf6mq for questions on the data files, please contact pirmin[dot]stueble[at]kit.edu or anna[dot]smith[at]kit.edu

opencc-zeroOct 2023View details →

Climate‐driven tree growth and mortality in the Black Forest, Germany: Long‐term observations

Episodic tree mortality can be caused by various reasons. This study describes climate‐driven tree mortality and tree growth in the Black Forest mountain range in Germany. It is based on a 68‐year consistent data series describing the annual mortality of all trees growing in a forest area of almost 250 thousand ha. The study excludes mortality caused by storm, snow and ice, and fire. The sequence of the remaining mortality, the so‐called "desiccated trees," is analyzed and compared with the sequence of the climatic water balance during the growing season and the annual radial growth of Norway spruce in the Black Forest. The annual radial growth series covers 121 years and the climatic water balance series 140 years. These unique time series enable a quantitative assessment of multidecadal drought and heat impacts on growth and mortality of forest trees on a regional spatial scale. Data compiled here suggest that the mortality of desiccated trees in the Black Forest during the last 68 years is driven by the climatic water balance. Decreasing climatic water balance coincided with an increase in tree mortality and growth decline. Consecutive hot and dry summers enhance mortality and growth decline as a consequence of drought legacies lasting several years. The sensitivity of tree growth and mortality to changes in the climatic water balance increases with the decreasing trend of the climatic water balance. The findings identify the climatic water balance as the main driver of mortality and growth variation during the 68‐year observation period on a landscape‐scale including a variety of different sites. They suggest that bark beetle population dynamics modify mortality rates. They as well provide evidence that the mortality during the last 140 years never was as high as in the most recent years.

opencc-by-4.0Oct 2023View details →

Fig. 11 in Five new species of the long-legged sac spider genus Cheiracanthium C.L. Koch, 1839 (Araneae: Cheiracanthiidae) from China

Fig. 11. Distribution records of the five new species of Cheiracanthium in China.

Cortical somatostatin long-range projection neurons and interneurons exhibit divergent developmental trajectories

Spatial transcriptomic data with 94 gene panels on P5 mouse neocortex. Files here include raw tiff files, results/spot counts, DAPI files for ROI segmentation, ROI segmented, final measurement with annotated region and counts.

opencc-zeroNov 2023View details →

Maritime international trade and bioinvasions: a three-year long survey of small mammals in Autonomous Port of Cotonou, Benin

<ol> <li>International trade has been favoring the dissemination of a wide panel of invasive alien species. Upstream prevention through the monitoring of entry points is identified as an appropriate strategy to achieve control of bioinvasions and their consequences. Maritime transports have been responsible for the introduction worldwide of exotic rodents that are major pests for crops and food stocks as well as reservoirs of many zoonotic pathogens. In order to limit further dissemination, the International Health Regulation constrains decision makers and socio-economic stakeholders to manage ship-mediated import/export of rodents within seaports. Unfortunately, eco-evolutionary insights into rodent introduction events that could guide preventive actions in seaports are very scarce.</li> <li>In order to bridge this gap, we here describe the results of a three-year-long survey of small mammals conducted in the Port of Cotonou, Benin, that aims at assessing the spatio-temporal distribution, diversity and relative abundance of invasive and native rodents.</li> <li>960 small mammal individuals were captured in nine within-seaport sites. We found (i) a marked predominance of invasive species (84% of the individuals belonging to Mus musculus, Rattus rattus, R. norvegicus), (ii) with native species (i.e., Mastomys natalensis and the shrew Crocidura olivieri) essentially restricted to peripheral non-industrial areas, as well as (iii) a fine-scale spatial segregation stable over time between the invasive Norway rats and house mice on the one hand, and the black rats and shrews on the other hand.</li> <li>Furthermore, trapping before and after two successive rodent anticoagulant-based control campaigns indicates that they were poorly efficient and that subsequent rodent recolonization occurs 6–12 months following intervention.</li> <li> Synthesis and applications: Our results are discussed in terms of ecological processes at play (e.g., interspecific interactions) and operational actions that may be implemented to improve rodent control (e.g., assessment of proper eradication units, environmental modifications) and to limit re-infestation (e.g., rat-proofing of moors and buildings).</li> </ol>

Short and Long Read Sequences from VIM-1 producing (Klebsiella pneumoniae test-dataset)

Creation of a downsized version of the long and short reads data of VIM-1 producing Klebsiella pneumoniae. Samples were obtained from the Hospital Infanta Cristina (Badajoz, Spain) on October 11th, 2019. - Long read data: Oxford Nanopore Technology (A1403KPN.fastq.gz).- Short read data : Illumina (A1403KPN_R2_filtered.fastq.gz && A1403KPN_R2_filtered.fastq.gz)

opencc-by-4.0Sep 2023View details →

TAGET: A toolkit for analyzing full-length transcripts from long-read sequencing

Polished transcripts of COLO829 from the PacBio platform. The original web link: https://downloads-ap.pacbcloud.com/public/dataset/Melanoma2019_IsoSeq/PolishedMappedTranscripts/before-SQANTI2filter/.

BACCHUS Long-Term Dataset

<h2>Agricultural multi-month dataset with overlapping paths for mapping and localisation algorithms for autonomous robots</h2>In March 2022, we started conducting the long-term data acquisition campaign at Ktima Gerovassiliou vineyard. This vineyard extends for more than 100ha located on the outskirts of Epanomi, Greece.As shown in the image below (taken in March and June), agricultural environments present seasonal changes, repetitive structures, uneven terrain and different weather conditions, which make achieving long-term autonomy for robots a challenging problem.Motivated by these challenging conditions and the lack of an agricultural dataset in the literature, we present the BLT dataset. Its primary objective is to push developments and evaluations of different mapping and localisation algorithms for long-term autonomous robots operating in agricultural fields. However, we believe that thanks to its temporal aspect, the dataset can also be used for phenotyping and crop mapping tasks.Available from <a href="https://lcas.lincoln.ac.uk/wp/research/data-sets-software/blt/">https://lcas.lincoln.ac.uk/wp/research/data-sets-software/blt/</a>

opencc-by-4.0Mar 2009View details →

Fig. 20 in Long-Legged Pursuit Carnivorans (Amphicyonidae, Daphoeninae) From The Early Miocene Of North America

Fig. 20. Comparison of the scapulae of (A) Borocyon niobrarensis (ACM 3452); (B) Ursus americanus

Long-term changes in pituitary gene expression following developmental exposure to environmental contaminants (BPS, BDE-47, or TBBPA) in male mice.

Experimental DesignIn this study we evaluate the long-term gene expression changes in pituitary in male mice exposed developmentally to one of three known endocrine disrupting chemicals: bisphenol-S (BPS), 2,2',4,4'-tetrabromodiphenyl ether (BDE-47), and 3,3',5,5'-tetrabromobisphenol A (TBBPA).  Male mice were exposed to chemical treatment through their mothers' during pregnancy (umbilical blood flow) and nursing, from pregnancy day 8 through weaning at postnatal day 21 (PND21). Each chemical exposure was calculated to equal 0.2mg/kg bw/day. The details of exposure protocol are described elsewhere (Kim et al, 2015). The male pups were allowed to grow untreated until adulthood at PND140. At PND140, male mice were euthanized, then their pituitaries removed, snap frozen in liquid nitrogen, and then stored at -80°C. The data-files described below represent major steps of our analysis:1. FASTQ files for mouse pituitary RNA-seq data.Male mouse pituitary RNA was isolated using a Trizol protocol, checked for purity and concentration and then processed for mRNA sequencing using the Illumina TruSeq kit and protocol (TruSeq Stranded mRNA LP, Cat # 20020594 and TruSeq RNA Sg Idx SetB, Cat # 20020493, Illumina, San Diego, CA) following the manufacturer's recommended procedures. High throughput sequencing was conducted using the NextSeq500 sequencing system. cDNA libraries were single-end sequenced in 76 cycles using a NSQ 500/550 Hi Output KT v2.5 (Cat #20024906 Illumina, San-Diego, CA) in one multiplex run (N=3/exposure group).  Read filtering, trimming, and de-multiplexing were performed using the BaseSpace cloud service by Illumina (<a href="https://basespace.illumina.com/home/index">https://basespace.illumina.com/home/index</a>, RRID:SCR_011881). Processed reads were mapped to the mouse reference genome (MM10) using the RNA-Seq Alignment v. 1.1.1. software with Bowtie 2. Each FASTQ file is a compressed file representing data from one sequencing flow cell lane for each sample (4 files per sample). Sample identifiers are coded for treatment: X = Vehicle control, R = TBBPA, C = BDE-47, E = BPS. 2. Differential expression data.Aligned reads were used to assemble transcripts and analyze differential expression using Cufflinks Assembly & DE v. 2.1.0. package. Reads aligned to known annotated regions for both control and exposed groups were used to calculate log2 FPKM ratios.  Differentially expressed genes were identified as genes altered with false discovery rate significance ≤ 0.05 (FDR, q ≤ 0.05).  Data on all exposure groups are shown in different sheets of the same file - Differential_expression.xlsx.3. Enrichment of biological categories associated with DEGs induced by chemical exposures. All differentially expressed genes were uploaded to Metascape for the analysis of enriched biological categories using default settings. Results of Metascape analysis are shown in two MS Excel files per exposure group, one showing negatively enriched categories and one positively enriched categories. The title of each file consists of three parts connected via underscore sign: the name of the chemical, the direction of enrichment, and the name of analysis - metascape (e.g., BDE-47_negative_metascape.xlsx).4. Pathway analysis for chemical exposures.All differentially expressed genes were uploaded to Ingenuity Pathway Analysis and enriched canonical pathways were identified  using default settings . Altered molecular or disease pathways, their p-values, and associated differentially expressed genes are provided for each exposure. Data for all exposure groups are shown in different sheets of the same file - IPA_pathway_analysis.xlsx.References:Kim B, Colon E, Chawla S, Vandenberg LN, Suvorov A. Endocrine disruptors alter social behaviors and indirectly influence social hierarchies via changes in body weight. Environ Health. 2015 Aug 5;14:64. doi: 10.1186/s12940-015-0051-6. PMID: 26242739; PMCID: PMC4524022.

Long-term sulphide mitigation through molybdate at shrimp pond bottoms

Shrimp are commonly cultured in earthen aquaculture ponds where organic-rich uneaten feed and faeces accumulate on and in the sediment to form anaerobic zones. Since the pond water is rich in sulphate, these anaerobic conditions eventually lead to the production of sulphide. Sulphides are toxic and even lethal to the shrimp that live on the pond sediment, but physicochemical and microbial reactions that occur during the accumulation of organic waste and the subsequent formation of sulphide in shrimp pond sediments remain unclear. Molybdate treatment is a promising strategy to inhibit sulphate reduction, thus, preventing sulphide accumulation. We used an experimental shrimp pond model to simulate the organic waste accumulation and sulphide formation in a long-term experiment (61 days). Sodium molybdate (5 and 25 mg/L Na2MoO4.2H2O) was applied as a preventive strategy to control sulphide production before oxygen depletion. Molybdate addition mitigated H2S production in the sediment, and delayed its transfer to the bulk liquid by pushing the higher sulphide concentration zone towards deeper sediment layers. Molybdate treatment at 25 mg/L significantly impacted the overall microbial community composition and treated samples (5 and 25 mg/L molybdate) had about 50% higher relative abundance of sulphate reducing bacteria than the control (no molybdate) treatment. In conclusion, molybdate worked as long-term mitigation strategy against sulphide accumulation by directly steering the microbial community in a shrimp pond system.

opencc-zeroNov 2023View details →

Spiranthes stylites is another long overlooked Asian Spiranthes with an unusual Sylvian habitat

We reexamine the taxon Spiranthes stylites, currently synonymized under S. australis, finding multiple lines of evidence from molecular phylogenetics, phenology, morphology, and habitat differences to support its distinction from other members of the Spiranthes sinensis species complex. Compared to its closest relative S. australis, S. stylites blooms earlier (June-early July vs. mid July-September), has consistently white tubular flowers (vs. commonly pink and pseudocampanulate), a distinctly long-clawed labellum (vs. shortly clawed), slender labellum nectar callosities (vs. globose), a proportionally larger column foot (ca. 50% of the length of the entire column vs. ca. 25%), and occurs in closed canopy woodlands (vs. open graminoid habitats). Spiranthes stylites is the only Spiranthes in the Eastern Hemisphere to have a woodland habitat. The recognition of S. stylites helps support white colored flowers as the plesiomorphic and most common floral condition in the complex, and indicates pink colored flowers likely arose independently in S. australis and S. sinensis s.s.