Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,688
datasets available to search
ShareScore release 0.9.0
Dataset results
3,688 results for “Milling”
Pattern 237 from House Mill
The Pattern 237 is one of 2661 wooden mechanical patterns from the pattern store on the second floor of the House Mill (Location: https://goo.gl/maps/MuzyR47wtoZfDWNM7/) During the 19th century, they were made by carpenters as the precise wooden replica of every single part of different machines to cast replacement components for broken machines. The pattern 237 shows the beauty of machinery in the 19th century. The House Mill official website: https://housemill.org.uk/ Source: Objaverse 1.0 / Sketchfab
Lee's Mill Water Turbine
A large water turbine that was previously located at Lee's Mill in Ivybridge, now in Harford Road Car Park, Ivybridge, Devon, England. Date: 1937 http://ivybridge-heritage.org/lees-mill-2/ 422 photos taken in August 2021 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Stone mill(石磨)
An old stone mill in the school, beginner shooting modeling, can download reference. 学校的一个老石磨,初学拍摄建模,可下载参考。 Source: Objaverse 1.0 / Sketchfab
Roman Sea Mills - Basic Models
A selection of Basic Models (essentialy 3D sketches) illustrating different potential reconstructions of the roman ruins at Sea Mills. Read more about the process and the models [on my blog here](https://abirkett.blogspot.com/2021/10/sea-mills-roman-ruins_26.html). Source: Objaverse 1.0 / Sketchfab
Model of Pak Jute Mill Ltd Jute Boat
This model boat comes from the collection of [Dundee HeritageTrust](http://www.dhtcollections.com/) looking after [Verdant Works](https://www.verdantworks.com/), also known as Scotland's Jute Museum, telling the story of Dundee's textile industry. This is a model of a river boat which is typical of the type of boat used for carrying raw jute from the fields. It has a curved shape wooden cabin with basket roof and on the side reads 'Pak Jute Mill Ltd' in white. The 3D model was created by the Scottish Maritime Museum as a part of the Scanning The Horizon project, working with collections from Industrial Museums Scotland ([Go Industrial](http://www.goindustrial.co.uk)). Source: Objaverse 1.0 / Sketchfab
stone mills
The model was generated from 36 photos taken by Huawei phones and drones. Material of use one 4K UV. In the new generation of engines (such as UE5), it is recommended to set the AO map to 0.5 or deprecated. AO maps and CU maps facilitate secondary creation in the mapping software. Another inexpensive way to add detail is to overlay a CU map on a base color map in the 0.1 way. Source: Objaverse 1.0 / Sketchfab
Adaptation to drought is coupled with slow growth, but independent from phenology in marginal silver fir (Abies alba Mill.) populations
Open the record for dataset details and reuse information.
Data from: First insights into the transcriptome and development of new genomic tools of a widespread circum-Mediterranean tree species, Pinus halepensis Mill.
Open the record for dataset details and reuse information.
Trace Gas Analyzer Data for Cobb Mill Creek in Oyster, VA 2007-2009
A Trace Gas Analyzer (TGA) was used to collect data on fluxes of nitrous oxide and carbon dioxide emanating from a salt marsh in Oyster, VA. This data contains 1/2-hour summaries of the raw data.
The electrical activity of Saharan dust as perceived from surface electric field observations: Field Mill Datasets
<p>Electric Field Mill time series used for the reproduction of the results in the following manuscript:</p> <p><strong>"The electrical activity of Saharan dust as perceived from surface electric field observations" - accepted in ACP</strong></p> <p>Authors: Vasiliki Daskalopoulou, Sotirios A. Mallios, Zbigniew Ulanowski, George Hloupis, Anna<br> Gialitaki, Ioanna Tsikoudi, Konstantinos Tassis and Vassilis Amiridis</p>
Role of hydroxypropyl cellulose and sodium dodecyl sulfate in curcumin amorphization obtained by vibrational ball milling
<p><strong>Figure S1</strong>. PXRD patterns of (A) ground curcumin (CUR) crystals; (B) ground mixtures (GMs) containing CUR and 10% hydroxypropyl cellulose (HPC); (C) GMs containing CUR and 25% HPC, and SDS; (D) GMs containing CUR and 50% HPC; (E) GMs containing CUR and 75% HPC; (F) GMs containing CUR and 90% HPC; (G) GMs containing CUR and sodium dodecyl sulfate (SDS), (H) GMs containing CUR, 10% HPC, and SDS; (I) GMs containing CUR, 25% HPC, and SDS; (J) GMs containing CUR, 50% HPC, and SDS; (K) GMs containing CUR, 75% HPC, and SDs; (L) GMs containing CUR, 90% HPC, and SDS</p> <p><strong>Figure S2.</strong> FTIR spectra of (A) ground curcumin (CUR) crystals; (B) ground mixtures (GMs) containing CUR and 10% hydroxypropyl cellulose (HPC); (C) GMs containing CUR and 25% HPC, and SDS; (D) GMs containing CUR and 50% HPC; (E) GMs containing CUR and 75% HPC; (F) GMs containing CUR and 90% HPC; (G) GMs containing CUR and sodium dodecyl sulfate (SDS), (H) GMs containing CUR, 10% HPC, and SDS; (I) GMs containing CUR, 25% HPC, and SDS; (J) GMs containing CUR, 50% HPC, and SDS; (K) GMs containing CUR, 75% HPC, and SDs; (L) GMs containing CUR, 90% HPC, and SDS</p> <p><strong>Figure S3.</strong> DSC curves of (A) ground curcumin (CUR) crystals; (B) ground mixtures (GMs) containing CUR and 10% hydroxypropyl cellulose (HPC); (C) GMs containing CUR and 25% HPC, and SDS; (D) GMs containing CUR and 50% HPC; (E) GMs containing CUR and 75% HPC; (F) GMs containing CUR and 90% HPC; (G) GMs containing CUR and sodium dodecyl sulfate (SDS), (H) GMs containing CUR, 10% HPC, and SDS; (I) GMs containing CUR, 25% HPC, and SDS; (J) GMs containing CUR, 50% HPC, and SDS; (K) GMs containing CUR, 75% HPC, and SDs; (L) GMs containing CUR, 90% HPC, and SDS</p> <p><strong>Figure S4.</strong> Dissolution profiles of (A) ground curcumin (CUR) crystals; (B) ground mixtures (GMs) containing CUR and 10% hydroxypropyl cellulose (HPC); (C) GMs containing CUR and 25% HPC, and SDS; (D) GMs containing CUR and 50% HPC; (E) GMs containing CUR and 75% HPC; (F) GMs containing CUR and 90% HPC; (G) GMs containing CUR and sodium dodecyl sulfate (SDS), (H) GMs containing CUR, 10% HPC, and SDS; (I) GMs containing CUR, 25% HPC, and SDS; (J) GMs containing CUR, 50% HPC, and SDS; (K) GMs containing CUR, 75% HPC, and SDs; (L) GMs containing CUR, 90% HPC, and SDS</p>
Data from: 'Fix me another marguerite!': species delimitation in a group of intensively hybridising lineages of ox-eye daisies (Leucanthemum Mill., Compositae-Anthemideae)
Delineating species boundaries in the framework of the multi-species coalescent (MSC) proves to be a reliable, objective, and reproducible method in an increasing number of studies. However, the underlying model assumes the lack of gene flow after speciation; an assumption which may be frequently violated in plant evolution. The present study evaluates the robustness of currently available species delimitation methods implemented in BEAST (BFD, BFD, and DISSECT) in the closely-knit ox-eye daisy group around Leucanthemum ageratifolium Pau. Comprising five taxa being allopatrically distributed between northern Spain and southern Italy this study group shows signs of hybridisation with the widespread and co-distributed species Leucanthemum vulgare (Vaill.) Lam. to various extent. As expected, our empirical analyses based on both AFLP fingerprinting and sequence data demonstrate that the robustness of species delimitation results is considerably influenced by the intensity of hybridisation among species and the number of hybrid individuals included. Therefore, we set up a methodological pipeline with a first step of identification and subsequent removal of individuals showing admixed genetic patterns caused by actual interbreeding using AFLP-fingerprint and morphometric data, followed by application of different Bayesian MSC species delimitation methods based on the remnant individuals using both AFLP-fingerprint and sequence data (four nuclear markers, five concatenated intergenic spacer regions of the plastid genome). The results argue for acknowledgement of Leucanthemum laciniatum, L. legraeanum, and L. ligusticum as independent species, show the close relationship of L. ageratifolium, L. monspeliense, and L. vulgare, and give rise to the description of three nothospecies new to science.
Data from: Analysis of microsatellite loci in tree of heaven (Ailanthus altissima (Mill.) Swingle) using SSR-GBS
Microsatellite markers are still the marker of choice for many research questions in the field of forest genetics. However, the number of available markers is often low for species that have not been studied intensively like the tree of heaven (Ailanthus altissima). During the last decade, next generation sequencing (NGS) has offered advanced techniques for efficiently identifying microsatellite markers and accurately genotyping samples. Here, we identify new microsatellite markers for the tree of heaven by applying an NGS-based method using the Illumina MiSeq platform. NGS technology was proved to be an effective method for fast and cost-efficient identification of microsatellite markers by implementing a genotyping-by-sequencing approach based on Illumina amplicon sequencing (SSR-GBS). We screened three populations from Eastern Austria for genetic variation at 19 newly identified microsatellite loci. We tested two different genotyping approaches: (1) considering only allele lengths (forming a so-called 'allele length dataset'), (2) taking also single nucleotide polymorphisms (SNPs) within the amplified fragments into account (forming a so-called 'SNP dataset'). The results revealed higher values for all genetic diversity parameters, as well as a better resolution of genetic assignment, when the latter approach was followed. Thus, by taking advantage of sequence information which is provided by SSR-GBS, one may achieve considerable gains in performance using the same marker set. The developed markers provide a cost-efficient tool for genotyping populations of tree of heaven and the approach presented here promises to be of high value for medium throughput genotyping applications in non-model forest tree species. We will use this method to widen the perspectives for further population genetic investigations of the tree of heaven.
Data from: Adaptation to local climate in a multi-trait space: evidence from silver fir (Abies alba Mill.) populations across a heterogeneous environment
Heterogeneous environments, such as mountainous landscapes, create spatially varying selection pressure that potentially affects several traits simultaneously across different life stages, yet little is known about the general patterns and drivers of adaptation in such complex settings. We studied silver fir (Abies alba Mill.) populations across Switzerland and characterized their mountainous landscape using downscaled historical climate data. We sampled 387 trees from 19 populations and genotyped them at 374 single-nucleotide polymorphisms (SNPs) to estimate their demographic distances. Seedling morphology, growth and phenology traits were recorded in a common garden, and a proxy for water use efficiency was estimated for adult trees. We tested whether populations have more strongly diverged at quantitative traits than expected based on genetic drift alone in a multi-trait framework, and identified potential environmental drivers of selection. We found two main responses to selection: (i) populations from warmer and more thermally stable locations have evolved towards a taller stature, and (ii) the growth timing of populations evolved towards two extreme strategies, "start early and grow slowly" or "start late and grow fast", driven by precipitation seasonality. Populations following the "start early and grow slowly" strategy had higher water use efficiency and came from inner Alpine valleys characterized by pronounced summer droughts. Our results suggest that contrasting adaptive life-history strategies exist in silver fir across different life stages (seedling to adult), and that some of the characterized populations may provide suitable seed sources for tree growth under future climatic conditions.
Data from: A Mesoamerican origin of cherimoya (Annona cherimola Mill.). Implications for the conservation of plant genetic resources
Knowledge on the structure and distribution of genetic diversity is a key aspect in order to plan and execute an efficient conservation and utilization of the genetic resources of any crop as well as for determining historical demographic inferences. In this work, a large data set of 1765 accessions of cherimoya (Annona cherimola Mill, Annonaceae), an underutilized fruit tree crop native to the neotropics and used as a food source by pre-Columbian cultures, was collected from 6 different countries across the American continent and amplified with 9 highly informative microsatellite markers. The structure analyses, fine representation of the genetic diversity and an ABC approach suggest a Mesoamerican origin of the crop, contrary to previous reports, with clear implications for the dispersion of plant germplasm between Central and South America in pre-Columbian times. These results together with the potential distribution of the species in a climatic change context using two different climate models provide new insights for the history and conservation of extant genetic resources of cherimoya that can be applied to other currently underutilized woody perennial crops.
Data from: Postglacial recolonization history of the European crabapple (Malus sylvestris Mill.), a wild contributor to the domesticated apple
Understanding the way in which the climatic oscillations of the Quaternary Period have shaped the distribution and genetic structure of extant tree species provides insight into the processes driving species diversification, distribution and survival. Deciphering the genetic consequences of past climatic change is also critical for the conservation and sustainable management of forest and tree genetic resources, a timely endeavour as the Earth heads into a period of fast climate change. We used a combination of genetic data and ecological niche models to investigate the historical patterns of biogeographic range expansion of a wild fruit tree, the European crabapple (Malus sylvestris), a wild contributor to the domesticated apple. Both climatic predictions for the last glacial maximum and analyses of microsatellite variation indicated that M. sylvestris experienced range contraction and fragmentation. Bayesian clustering analyses revealed a clear pattern of genetic structure, with one genetic cluster spanning a large area in Western Europe and two other genetic clusters with a more limited distribution range in Eastern Europe, one around the Carpathian Mountains and the other restricted to the Balkan Peninsula. Approximate Bayesian computation appeared to be a powerful technique for inferring the history of these clusters, supporting a scenario of simultaneous differentiation of three separate glacial refugia. Admixture between these three populations was found in their suture zones. A weak isolation by distance pattern was detected within each population, indicating a high extent of historical gene flow for the European crabapple.
Data from: Population clustering and clonal structure evidence the relict state of Ulmus minor Mill. in the Balearic Islands
Field elm (Ulmus minor) is a riparian tree that grows in rare, small populations scattered along temporary watercourses in the Balearic Islands, nowadays mostly covered with Mediterranean vegetation. Agriculture and farming on the fertile land along the periodically flooded plains have reduced the elm populations to sparse tree lines along the creek beds. The presence of field elm in this very anthropic landscape has led some authors to consider it as an introduced species in the Balearics. However, pollen data suggest these elms may be the remains of larger populations experiencing continuous population shrinkage during the Holocene, and hence be native to the isles. In this paper, we apply genetic markers to assess whether field elm is or is not indigenous to the Balearic Islands. We compare the genetic variation in nine nuclear microsatellites of six Balearic populations (three in each of the largest islands, Majorca and Minorca) with that of three natural Iberian populations located in two regions, one geologically (Baetic mountains, SE Iberia) and another historically (Catalonia, NE Iberia) related to the islands. Principal coordinates analysis and Bayesian clustering methods reveal a strong genetic differentiation of the Balearic populations from the Iberian ones, and even among islands, which support their native origin. Genotypic variation in the islands is very low and clonal reproduction is very high compared with the mainland, as it is frequently observed in populations of clonal species where sexual reproduction is limited. We discuss the practical implications of these findings for the conservation of elm genetic resources of these findings.
Medieval mill
Source: Objaverse 1.0 / Sketchfab
FIGURES 9–14 in A new Denisiella Folsom and Mills, 1938 (Collembola: Sminthurididae) from Colombia
FIGURES 9–14. Denisiella colombiana sp. nov., female: 9, left antenna; 10, cephalic chaetotaxy; 11, femur and tibiotarsus II; 12, tibiotarsus III; 13, great and small abdomen in lateral view; 14, dens and mucro, latero-dorsal view.
FIGURES 1–8 in A new Denisiella Folsom and Mills, 1938 (Collembola: Sminthurididae) from Colombia
FIGURES 1–8. Denisiella colombiana sp. nov., male: 1, right antenna; 2, cephalic chaetotaxy; 3, tibiotarsus I; 4, tibiotarsus II; 5, femur and tibiotarsus III; 6, posterior chaetotaxy of Abd. VI; 7, manubrium, posterior view; 8, chaetotaxy of right dens, anterior view.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.