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Data describing the life cycle and material flows of neodymium contained in products
<p>Assumptions used to calculate flows of neodymium (Nd) in Europe. For various products (consumer products and industrial goods), the dataset describes the following properties:</p> <ul> <li>lifespan,</li> <li>product weight,</li> <li>neodymium content,</li> <li>end-of-life (EoL) fate,</li> <li>component weight,</li> <li>market share of Nd-containing components</li> </ul> <p>The classification of products is based on UNU Keys.</p>
Asynchronous life cycles contribute to reproductive isolation between two Alpine butterflies
<p>Data from: Asynchronous life cycles contribute to reproductive isolation between two Alpine butterflies</p> <p><strong>Abstract</strong></p> <p>Geographic isolation often leads to the emergence of distinct genetic lineages that are at least partially reproductively isolated. Zones of secondary contact between such lineages are natural experiments that allow investigating how reproductive isolation evolves and co-existence is maintained. While temporal isolation through allochrony has been suggested to promote reproductive isolation in sympatry, its potential for isolation upon secondary contact is far less understood. Sampling two contact zones of a pair of mainly allopatric Alpine butterflies over several years and taking advantage of museum samples, we show that the contact zones have remained geographically stable over several decades. Furthermore, they seem to be maintained by the asynchronous life cycles of the two butterflies, with one reaching adulthood primarily in even and the other primarily in odd years. Genomic inferences document that allochrony is leaky and that gene flow from allopatric sites scales with the degree of geographic isolation. Overall, we show that allochrony has the potential to contribute to the maintenance of secondary contact zones of lineages that diverged in allopatry.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p>Morphology contains the following files:</p> <p>wing_morpho.R<br> R scripts for data transformation of wing shape</p> <p>genital_morpho.R<br> R scripts for data transformation of genital morphology</p> <p><br> Models_used.R:<br> R scripts used to produce the statistical analyses.</p> <p>genital_morpho_master_with_pca.txt<br> Phenotypic data for genital morphology</p> <p>wing_contemporary_morpho_master_with_pca.txt<br> Phenotypic data for contemporary wing patterns</p> <p>wing_historic_morpho_master_with_pca.txt<br> Phenotypic data for wing patterns from museum samples</p> <p>The text files contains the following information:</p> <p>ID = Individual ID<br> genotyped_allopatric = was the individual genotyped<br> latitude<br> longitude<br> DATE = Date of collection<br> DAY = Day of collection<br> MONTH = Month of collection<br> YEAR = Year of collection<br> SPOT = Collection site<br> boxplotID = ID to reproduce boxplot order as used in the paper<br> colory = color code to plot<br> cycle = year cycle (2018/19 or 2020/21)<br> yeartype = even or odd year<br> genital_x_LM1 = linear measure of genital landmark 1 along the x axis<br> genital_y_LM1 = linear measure of genital landmark 1 along the y axis<br> genital_x_LM2 = linear measure of genital landmark 2 along the x axis <br> genital_y_LM2 = linear measure of genital landmark 2 along the y axis <br> genital_x_LM3 = linear measure of genital landmark 3 along the x axis <br> genital_y_LM3 = linear measure of genital landmark 3 along the y axis <br> genital_x_LM4 = linear measure of genital landmark 4 along the x axis <br> genital_y_LM4 = linear measure of genital landmark 4 along the y axis <br> genital_x_LM5 = linear measure of genital landmark 5 along the x axis <br> genital_y_LM5 = linear measure of genital landmark 5 along the y axis <br> v_t1 = length relationship between v and t1<br> v_t2 = length relationship between v and t2 <br> v_t3 = length relationship between v and t3 <br> t3_t1 = length relationship between t3_t1 <br> t3_t2 = length relationship between t3_t2 <br> t2_t1 = length relationship between t2_t1 <br> v_tg = length relationship between v and tg <br> PC1.x = PC1 axis for unprojected morphospace<br> PC2.x = PC2 axis for unprojected morphospace <br> PC3.x = PC3 axis for unprojected morphospace <br> PC4.x = PC4 axis for unprojected morphospace <br> PC5.x = PC5 axis for unprojected morphospace <br> PC6.x = PC6 axis for unprojected morphospace <br> PC7.x = PC7 axis for unprojected morphospace <br> PC1.y = PC1 axis for projected morphospace <br> PC2.y = PC2 axis for projected morphospace <br> PC3.y = PC3 axis for projected morphospace <br> PC4.y = PC4 axis for projected morphospace <br> PC5.y = PC5 axis for projected morphospace <br> PC6.y = PC6 axis for projected morphospace <br> PC7.y = PC7 axis for projected morphospace</p> <p> </p> <p><br> wing_ProcCoord1 = Procrustes coordinate 1<br> wing_ProcCoord2 = Procrustes coordinate 2<br> wing_ProcCoord3 = Procrustes coordinate 3<br> wing_ProcCoord4 = Procrustes coordinate 4<br> wing_ProcCoord5 = Procrustes coordinate 5<br> wing_ProcCoord6 = Procrustes coordinate 6<br> wing_ProcCoord7 = Procrustes coordinate 7<br> wing_ProcCoord8 = Procrustes coordinate 8<br> wing_ProcCoord9 = Procrustes coordinate 9<br> wing_ProcCoord10 = Procrustes coordinate 10<br> wing_ProcCoord11 = Procrustes coordinate 11<br> wing_ProcCoord12 = Procrustes coordinate 12<br> wing_ProcCoord13 = Procrustes coordinate 13<br> wing_ProcCoord14 = Procrustes coordinate 14<br> wing_ProcCoord15 = Procrustes coordinate 15<br> wing_ProcCoord16 = Procrustes coordinate 16<br> wing_ProcCoord17 = Procrustes coordinate 17<br> wing_ProcCoord18 = Procrustes coordinate 18<br> wing_ProcCoord19 = Procrustes coordinate 19<br> wing_ProcCoord20 = Procrustes coordinate 20<br> wing_ProcCoord21 = Procrustes coordinate 21<br> wing_ProcCoord22 = Procrustes coordinate 22<br> wing_ProcCoord23 = Procrustes coordinate 23<br> wing_ProcCoord24 = Procrustes coordinate 24<br> wing_ProcCoord25 = Procrustes coordinate 25<br> wing_ProcCoord26 = Procrustes coordinate 26<br> wing_ProcCoord27 = Procrustes coordinate 27<br> wing_ProcCoord28 = Procrustes coordinate 28<br> wing_ProcCoord29 = Procrustes coordinate 29<br> wing_ProcCoord30 = Procrustes coordinate 30<br> wing_ProcCoord31 = Procrustes coordinate 31<br> wing_ProcCoord32 = Procrustes coordinate 32<br> wing_ProcCoord33 = Procrustes coordinate 33<br> wing_ProcCoord34 = Procrustes coordinate 34<br> wing_ProcCoord35 = Procrustes coordinate 35<br> wing_ProcCoord36 = Procrustes coordinate 36<br> wing_ProcCoord37 = Procrustes coordinate 37<br> wing_ProcCoord38 = Procrustes coordinate 38<br> wing_ProcCoord39 = Procrustes coordinate 39<br> wing_ProcCoord40 = Procrustes coordinate 40<br> wing_ProcCoord41 = Procrustes coordinate 41<br> wing_ProcCoord42 = Procrustes coordinate 42<br> wing_ProcCoord43 = Procrustes coordinate 43<br> wing_ProcCoord44 = Procrustes coordinate 44<br> wing_ProcCoord45 = Procrustes coordinate 45<br> wing_ProcCoord46 = Procrustes coordinate 46<br> wing_ProcCoord47 = Procrustes coordinate 47<br> wing_ProcCoord48 = Procrustes coordinate 48<br> wing_ProcCoord49 = Procrustes coordinate 49<br> wing_ProcCoord50 = Procrustes coordinate 50<br> wing_ProcCoord51 = Procrustes coordinate 51<br> wing_ProcCoord52 = Procrustes coordinate 52<br> wing_ProcCoord53 = Procrustes coordinate 53<br> wing_ProcCoord54 = Procrustes coordinate 54<br> PC1.x = PC1 unprojected<br> PC2.x = PC2 unprojected<br> PC3.x = PC3 unprojected<br> PC4.x = PC4 unprojected<br> PC5.x = PC5 unprojected<br> PC6.x = PC6 unprojected<br> PC7.x = PC7 unprojected<br> PC8.x = PC8 unprojected<br> PC9.x = PC9 unprojected<br> PC10.x = PC10 unprojected<br> PC11.x = PC11 unprojected<br> PC12.x = PC12 unprojected<br> PC13.x = PC13 unprojected<br> PC14.x = PC14 unprojected<br> PC15.x = PC15 unprojected<br> PC16.x = PC16 unprojected<br> PC17.x = PC17 unprojected<br> PC18.x = PC18 unprojected<br> PC19.x = PC19 unprojected<br> PC20.x = PC20 unprojected<br> PC21.x = PC21 unprojected<br> PC22.x = PC22 unprojected<br> PC23.x = PC23 unprojected<br> PC24.x = PC24 unprojected<br> PC25.x = PC25 unprojected<br> PC26.x = PC26 unprojected<br> PC27.x = PC27 unprojected<br> PC28.x = PC28 unprojected<br> PC29.x = PC29 unprojected<br> PC30.x = PC30 unprojected<br> PC31.x = PC31 unprojected<br> PC32.x = PC32 unprojected<br> PC33.x = PC33 unprojected<br> PC34.x = PC34 unprojected<br> PC35.x = PC35 unprojected<br> PC36 = PC36 unprojected<br> PC37 = PC37 unprojected<br> PC38 = PC38 unprojected<br> PC39 = PC39 unprojected<br> PC40 = PC40 unprojected<br> PC41 = PC41 unprojected<br> PC42 = PC42 unprojected<br> PC43 = PC43 unprojected<br> PC44 = PC44 unprojected<br> PC45 = PC45 unprojected<br> PC46 = PC46 unprojected<br> PC47 = PC47 unprojected<br> PC48 = PC48 unprojected<br> PC49 = PC49 unprojected<br> PC50 = PC50 unprojected<br> PC51 = PC51 unprojected<br> PC52 = PC52 unprojected<br> PC53 = PC53 unprojected<br> PC54 = PC54 unprojected<br> PC1.y = PC1 projected<br> PC2.y = PC2 projected<br> PC3.y = PC3 projected<br> PC4.y = PC4 projected<br> PC5.y = PC5 projected<br> PC6.y = PC6 projected<br> PC7.y = PC7 projected<br> PC8.y = PC8 projected<br> PC9.y = PC9 projected<br> PC10.y = PC10 projected<br> PC11.y = PC11 projected<br> PC12.y = PC12 projected<br> PC13.y = PC13 projected<br> PC14.y = PC14 projected<br> PC15.y = PC15 projected<br> PC16.y = PC16 projected<br> PC17.y = PC17 projected<br> PC18.y = PC18 projected<br> PC19.y = PC19 projected<br> PC20.y = PC20 projected<br> PC21.y = PC21 projected<br> PC22.y = PC22 projected<br> PC23.y = PC23 projected<br> PC24.y = PC24 projected<br> PC25.y = PC25 projected<br> PC26.y = PC26 projected<br> PC27.y = PC27 projected<br> PC28.y = PC28 projected<br> PC29.y = PC29 projected<br> PC30.y = PC30 projected<br> PC31.y = PC31 projected<br> PC32.y = PC32 projected<br> PC33.y = PC33 projected<br> PC34.y = PC34 projected<br> PC35.y = PC35 projected</p> <p> </p> <p> </p> <p> </p> <p>Genomics contains the following files (Genomic data is available from NCBI BioProject: PRJNA1019795):</p> <p>all_euryale_calls.vcf.gz<br> The unfiltered VCF file</p> <p>euryale_V2.sh<br> Shell script for the genomic data analysis</p> <p>introgress.R<br> R script for running Introgress</p> <p>introgress_all_east2.txt<br> Output of Introgress for the Eastern contact zone</p> <p>introgress_all_west2.txt<br> Output of Introgress for the Western contact zone</p> <p>Admixture_output.txt<br> Output of Admixture assuming either 2 or 3 genomic clusters (K) with the respective population and ID</p> <p>Outliers2BombyxMori.txt<br> BLAST summary of outlier regions against Bombyx Mori</p> <p>Outliers2ManjolaJurtina.txt<br> BLAST summary of outlier regions against Manjola jurtina</p> <p>Outliers2ParargeAegeria.txt<br> BLAST summary of outlier regions against Pararge aegeria</p> <p> </p>
Delta smelt (Hypomesus transpacificus) life cycle model input data.
Synthesized data used for fitting delta smelt population dynamics models, essentially consisting of predictor variables (environmental conditions and indices of prey and predators) and response variables (abundance indices). Input data is sourced from a variety of both federal and California state government monitoring programs taking place within the San Francisco Estuary, California. These include California Department of Fish and Wildlife fish surveys, Interagency Ecological Program's Environmental Monitoring Program for zooplankton, California Department of Water Resources' Dayflow, and United States Geological Survey water monitoring data. The sourced data are recorded from sub-hourly to monthly time scales and at various spatial scales, aggregated at monthly or greater time scales using summary statistics (e.g. means) and are not spatially explicit but use spatial stratification approaches for statistic calculation as appropriate.
Figure 2. UCMS Bibliographic Record Life Cycle
<p><strong>Records identification process</strong></p> <p>Immediately after the completion of the preliminary activities for those records that change to the «In union» state, the matching-records algorithm will be run, which will result in the final records of HLUC (master records and single-entry records). The way the records will be merged depends on the use for which these records (master and/or single records) are intended, as shown in Figure 5. Specifically, there is a different way that the records will be merged in order to be presented through the Online Public Access Catalogue, or for the Interlibrary Loan System and they will be structured differently for display in the Cataloguing Center. The differences are mainly about the way and the degree of the field merging</p>
Repository: Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade-linked multilevel life cycle assessment
<p>This repository contains the input data, codes and results of the model developed in the paper "Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade-linked multilevel life cycle assessment" published in the Journal of Industrial Ecology (2020) by Alexandre Milovanoff, I. Daniel Posen, Heather L. MacLean.</p>
Retrieving Affected Versions by Leveraging the Life Cycle of Defects
<p>This is the online appendix for our paper submission entitled "Retrieving Affected Versions by Leveraging the Life Cycle of Defects"</p>
Figure 2 in Host-parasite relationships and life cycles of cuckoo wasps in agro-ecosystems in Argentina (Hymenoptera: Chrysididae: Chrysidini)
Figure 2. Emergence patterns of (a) Chrysis boutheryi (Brèthes) (squares; n = 20) and (b) C. saltana Bohart (triangles, n = 19) adults reared from trap-nests in Toay, La Pampa Province.
Figure 1 in Host-parasite relationships and life cycles of cuckoo wasps in agro-ecosystems in Argentina (Hymenoptera: Chrysididae: Chrysidini)
Figure 1. (a) Study sites: Toay (inverted triangle), Hortensia (square), Pila (triangle) and Colonia Elía (hexagon), situated in the Pampean region. The area encircled by thick line indicates the location of the Río de la Plata grasslands. Subdivisions are limited by dotted lines and identified by capital letters. A: Rolling Pampa; B: Inland Pampa; C: Southern Pampa; D: Flooding Pampa; E: Mesopotamic Pampa; F: Campos (modified from Medan et al.2011). (b–c) Trap-nests located in one tree and on fence posts.
Figure 2 in Life cycle of Huarpea fallax (Hymenoptera: Sapygidae) in a xeric forest in Argentina
Figure 2. Emergence pattern of individuals of Huarpea fallax obtained from nests of wild bees collected in trap nests in a xeric forest of Argentina (n = 11).
Fig. 3 in Life cycle of Carabus granulatus Linnaeus 1758 (Coleoptera, Carabidae) in Western Transbaikalia
Fig. 3. Seasonal dynamics of Carabus granulatus activity on saline meadow in 2018. Abbreviations as in Fig. 1.
Fig. 2 in Life cycle of Carabus granulatus Linnaeus 1758 (Coleoptera, Carabidae) in Western Transbaikalia
Fig. 2. Seasonal dynamics of Carabus granulatus activity on steppe meadow in 2018. Abbreviations as in Fig. 1.
Fig. 1 in Life cycle of Carabus granulatus Linnaeus 1758 (Coleoptera, Carabidae) in Western Transbaikalia
Fig. 1. Seasonal dynamics of Carabus granulatus activity on floodplain meadow in 2018. Abbreviations: t – teneral imago, i – immature imago, m – mature imago, s – spent imago.
Life cycle inventory database for consumption in Quebec - Personal hygiene
<p>These inventory datasets are essential for calculating the environmental impacts of an individual’s consumption in Quebec.</p> <p>Led by the CIRAIG, in collaboration with ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment.</p> <p>https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/ </p>
Fig. 2. Unsporulated T. gondii oocysts, with a in Exploring the epidemiological role of the Eurasian lynx (Lynx lynx) in the life cycle of Toxoplasma gondii
Fig. 2. Unsporulated T. gondii oocysts, with a diameter of 10–12 μm, after flotation from a faecal sample of a juvenile lynx (left) (ID W20_8385). T. gondii development stage (meront, arrow) in a histological section of small intestine of a lynx (right) (ID W21_4446).
Survey: coopetition attributes, coopetition life cycle, and coopetition performance_UMO-2020/39/B/HS4/00935
<p>The data set covers Likert-type data on coopetition attributes, coopetition life cycle, and coopetition performance.</p> <p><span>Data collection: December 2022 and March 2023 using a mixed-mode (CATI, CAWI, and CAWI supported by phone). </span></p> <p><span>Sample: 1231 (909 low-tech firms and 322 high-tech firms).</span></p> <p><span>Finacned by a research grant by National Science Centre in Poland under agreement UMO-2020/39/B/HS4/00935.</span></p> <p> </p> <p> </p>
Figure 7. Aegiochus nohinohi Bruca, 2009 immatura staga 1 in Reconstructing the life cycle of the isopodan group Aegidae with morphological descriptions and the importance of immature stages
Figure 7. Aegiochus nohinohi Bruca, 2009 immatura staga 1 (NIWA 24018). A, Dorsal viaw. B–C, Vantral viaw. D, Lataral viaw. E, Antannula. F, Antanna. G, Mandibla. H, Maxillipad. I, Maxillula. J, Maxilla. Scalas: A–D, 1 mm; E–F, 0.25 mm (top, right); G–J, 0.25 mm (bottom, right).
Figure 8. Aegiochus nohinohi Bruca, 2009 A–D, Immatura staga 2 in Reconstructing the life cycle of the isopodan group Aegidae with morphological descriptions and the importance of immature stages
Figure 8. Aegiochus nohinohi Bruca, 2009 A–D, Immatura staga 2 (NIWA 24018). E–H, Adult mala (NIWA 24018). A, Dorsal viaw. B, Vantral viaw. C, Lataral viaw. D, Closa-up of undardavalopad panial lobas. E, Dorsal viaw. F, Vantral viaw. G, Lataral viaw. H, Closa-up of wall-davalopad panial lobas.
Figure 6. Aegiochus kanohi Bruca, 2009 immatura mala staga 3 in Reconstructing the life cycle of the isopodan group Aegidae with morphological descriptions and the importance of immature stages
Figure 6. Aegiochus kanohi Bruca, 2009 immatura mala staga 3 (NIWA 24023). A–B, Dorsal viaw. C, Lataral viaw. D, Vantral viaw. E, Antarovantral viaw. F, Antannula. G, Antanna. H, Mandibla. I, Maxillula. J, Maxilla. K, Maxillipad. L, Closa-up of undardavalopad thoracopod 7 and panial lobas. M, Plaon appandaga 2 with appandix masculina. Scalas: A–D, 2.5 mm; F–G, 500 µm; H–K, 250µm.
Figure 5 in Reconstructing the life cycle of the isopodan group Aegidae with morphological descriptions and the importance of immature stages
Figure 5. Aegiochus antarctica (Hodgson, 1910) immatura staga 1 (NIWA 23664). A, Dorsal viaw. B, Vantral viaw. C, Lataral viaw. D, Antarovantral viaw. E, Antannula. F, Antanna. G, Mandibla. H, Maxillula. I, Maxilla. J, Maxillipad. K, Plaon appandaga 2 without appandix masculina. Scalas: A–C, 1 mm; E–F, 500 µm; G–J, 200µm.
Figure 4 in Reconstructing the life cycle of the isopodan group Aegidae with morphological descriptions and the importance of immature stages
Figure 4. Aegiochus antarctica (Hodgson, 1910) immatura staga 2 (NIWA 23671). A, Dorsal viaw. B, Vantral viaw. C, Antarovantral viaw. D, Antannula. E, Antanna. F, Mandibla. G, Maxillula. H, Maxilla. I, Maxillipad. J, Closa-up of starnita 7 (without panas). K, Plaon appandaga 2 without appandix masculina. L, Exampla of panial lobas of adult mala. Scalas: A–B, 2 mm; D–E, 0.5 mm (top, right); F–I, 250 µm.
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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.