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Replication Data for: Shared space use and avoidance among groups of wild non-territorial Assamese macaques
No full textData are home range size in ha calculated as 95% and 50% Kernel Density Estimators or monthly means (month year = MY) of daily travel distance in m along with infomration on group identity, number of adult males, number of non-infant individuals in the group, and a fruit availability inde
Egocentricity in infants’ play with familiar objects in caregiver-child interactions
No full textParents and children appear to coordinate their attention to objects in their environment, often via mutual gaze. Children, however, display a novelty bias in interacting with objects, looking longer at novel objects relative to familiar objects. This may allow parents to follow in on their child’s focus of attention and label the novel objects, creating moments of optimal learning. The current study examined this with regard to whether parents are more likely to lead instances of joint attention to novel relative to familiar objects and how children learn from periods of child-led or parent-led joint attention. In particular, we investigated whether (i) parents lead more instances of joint attention when playing with novel relative to familiar objects, (ii) parents preferentially label novel relative to familiar objects, and (iii) children's learning of novel word-object associations is affected by the frequency of labelling and children's sustained attention towards the objects. We found that not only do children lead more instances of joint attention, but, relative to their caregivers, children lead more instances of joint attention to familiar objects relative to novel objects. Parents also appeared to follow in on their child’s attention and labelled familiar objects more often than novel objects. Furthermore, we found no evidence for children’s recognition of the novel word-object associations. Our findings highlight the contingent nature of social interactions between caregivers and infants, with children leading and parents following their child’s lead, especially with regard to more familiar objects in the child’s environment
Stable_water_isotopes_2021
No full textSoil and xylem samples were taken once in summer 2021 from all plots of quintets 3, 4, 6, 8 of the RTG2300 sites. We took stem cores at breast height from n=8 trees (1 core per tree) and 4 soil cores, each in the middle between a pair of trees. Soil cores were separated in 7 depth intervals. Water was extracted from all samples using cryogenic vacuum distillation and subsequently analyzed for the isotopic compositions of hydrogen and oxygen at the Center for Stable Isotope Research and Analysis (KOSI, Georg-August-University Göttingen, Germany), using a high temperature conversion analyzer (TC/EA, Thermo Electron Corporation, Bremen, Germany) coupled via a Con-Flo III interface to a Delta V Plus isotope ratio mass spectrometer (Thermo Electron Corporation, Bremen, Germany). Gravimetric water content was calculated from fresh and oven-dried (105°C) sample weight
Data for publication "Development of a dual-domain karst flow model under consideration of preferential film-flow dynamics and analysis of compartment-specific parameter sensitivities"
No full textData for publication "Development of a dual-domain karst flow model under consideration of preferential film-flow dynamics and analysis of compartment-specific parameter sensitivitie
RTG 2654 Data Policy
No full textThis data set contains the data policy of the RTG 2654 at the University of Goettingen. The data policy describes the rules and processes that govern the data management at the RTG. It was approved by the RTG's General Assembly on 25 March 2025
senad1_jupyter_notebooks: Project SenAD - Machine learning-based degradation monitoring for asphalt road pavements
No full textA jupyter notebook to learn the road degradation state from the data set of the preliminary SenAD1 project. It is assumed that the data is located in a ‘data’ directory in the project directory.
The jupyter notebool was created in the SenAD project (Sensorintegration in Asphalt für ein datenbasiertes Degradationsmonitoring/ Sensor integration in asphalt for data-based degradation monitoring) and can be used to interpret the data in https://doi.org/10.25625/R1CN7N
SSR_and_SNP_genotypes_Ebeech_Romania
No full textMicrosatellite and genome-wide SNP genotypes for 500 European beech individuals from five populations located in the Romanian Carpathians, near the city of Brașov. The data sets were generated for a scientific publication (10.21203/rs.3.rs-4559673/v1). They support the analysis of genetic variation, population structure and fine-scale spatial genetic structure
Experimental XIAM and Pickett Fits, Kraitchman structure and semi-experimental as well as mass dependent structure fits for citraconic and itaconic anhydride
No full textWe provide the experimental fit files obtained with the XIAM (V2.5e) program of H. Hartwig and H. Dreizler for citraconic anhydride as well as those for itaconic anhydride obtained with the SPFIT program of H.M. Pickett. In addition, the Kraitchman, semi-experimental equilibrium (reSE) and mass dependent structures (rm(1) and rm(2)) have been deposited. The former has been computed with Z. Kisiel's KRA program (version 4a.IV.2017) while the latter two have been obtained with his STRFIT (version 14.VI.2021) program. The listed programs can be downloaded from Z. Kisiel's PROSPE website All necessary files to redo any fit are provided.
The experimental fits are sorted according to the parent (all isotopes in their naturally most abundant form), singly 13C substituted and singly 18O substituted species. 18O data is only available for citraconic anhydrided.
The reSE, rm(1) and rm(2) structure fits have been carried based on B3LYP-D3(BJ), PBE0-D3(BJ), CAM-B3LYP-D3(BJ), LC-ωPBE-D3(BJ), M06-2X, B2PLYP-D3(BJ), DSD-PBEP86-D3(BJ) and MP2 calculations with the Gaussian 16 (Rev. C.01) program package. In all cases, the aug-cc-pVTZ basis set was used.
All files provided are in an ASCII format and can be opened with any text editor.</p
Genotyping data_honey bee pollen
No full textThe genotyping data is used to identify the cultivars of pollen carried by honeybees at increasing distances from a cross-pollen source in two multi-cultivar macadamia orchards using this method.
We developed a method that detects SNPs in the pollen carried by single bees, using a customised single allele base extension reaction (SABER) with MassARRAY to distinguish genotypes that contribute only a small fraction to a mixed-genotype pollen sample