cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fb11w
title: CCDC 2243967: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Filatova, Eugeny A. Ermolenko, Alexander F. Pozharskii, Valery A. Ozeryanskii, Oleg P. Demidov, Anatoly V. Chernyshev, Anatoly V. Metelitsa, Anna V. Gulevskaya|2023|Org.Biomol.Chem.|21|3388|doi:10.1039/D3OB00286A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22597873
title: Microbiota data and related variables used in statistical analyses from Distinct healthy and atopic canine gut microbiota is influenced by diet and antibiotics

description: This file includes normalized abundances and assigned taxonomy of operational taxonomic units (OTUs), and all variables used in statistical analyses as such or along with the OTU abundances.
DOI: 10.6084/m9.figshare.22597873.v1
title: Microbiota data and related variables used in statistical analyses from Distinct healthy and atopic canine gut microbiota is influenced by diet and antibiotics

description: This file includes normalized abundances and assigned taxonomy of operational taxonomic units (OTUs), and all variables used in statistical analyses as such or along with the OTU abundances.
DOI: 10.7295/w9cil54888
title: CIL:54888, Saccharomyces cerevisiae, Single cell
DOI: 10.7295/w9cil54889
title: CIL:54889, Saccharomyces cerevisiae, Single cell
DOI: 10.7295/w9cil54890
title: CIL:54890, Saccharomyces cerevisiae, Single cell
DOI: 10.7295/w9cil54891
title: CIL:54891, Saccharomyces cerevisiae, Single cell
DOI: 10.7295/w9cil54892
title: CIL:54892, Saccharomyces cerevisiae, Single cell
DOI: 10.6084/m9.figshare.22567158
title: Supplementary Tables from Computational capability of ecological dynamics

description: Supplementary Tables describing parameters used in the models.
DOI: 10.6084/m9.figshare.22567158.v1
title: Supplementary Tables from Computational capability of ecological dynamics

description: Supplementary Tables describing parameters used in the models.
DOI: 10.57967/hf/0576
title: Car0GPT
DOI: 10.5517/ccdc.csd.cc2c91yp
title: CCDC 2183452: Experimental Crystal Structure Determination

description: Related Article: Hu Wang, Leighton O. Jones, Tian Zhao, Inhong Hwang, Vincent M. Lynch, Niveen M. Khashab, George C. Schatz, Zachariah A. Page, Jonathan L. Sessler|2023|Chemical Science|14|4120|doi:10.1039/D2SC05342J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7866648
title: PatchCamelyon (PCAM) 5% subset

description: This subset was created for teaching purposes. It is derived from the original data on drive (https://drive.google.com/drive/folders/1gHou49cA1s5vua2V5L98Lt8TiWA3FrKB) and contains every 20th image in each of the splits. References for this dataset are: - B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology". arXiv:1806.03962. - Ehteshami Bejnordi et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA: The Journal of the American Medical Association, 318(22), 2199–2210. doi:jama.2017.14585.
description: {"references": ["B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. \"Rotation Equivariant CNNs for Digital Pathology\".\u00a0arXiv:1806.03962.", "Ehteshami Bejnordi et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA: The Journal of the American Medical Association, 318(22), 2199\u20132210.\u00a0doi:jama.2017.14585."]}
DOI: 10.5281/zenodo.7866647
title: PatchCamelyon (PCAM) 5% subset

description: This subset was created for teaching purposes. It is derived from the original data on drive (https://drive.google.com/drive/folders/1gHou49cA1s5vua2V5L98Lt8TiWA3FrKB) and contains every 20th image in each of the splits. References for this dataset are: - B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology". arXiv:1806.03962. - Ehteshami Bejnordi et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA: The Journal of the American Medical Association, 318(22), 2199–2210. doi:jama.2017.14585.
description: {"references": ["B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. \"Rotation Equivariant CNNs for Digital Pathology\".\u00a0arXiv:1806.03962.", "Ehteshami Bejnordi et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA: The Journal of the American Medical Association, 318(22), 2199\u20132210.\u00a0doi:jama.2017.14585."]}
DOI: 10.5281/zenodo.7863892
title: ipaast-czo case study: The Rinconada Estate.

description: The interest in testing different survey methods within the framework of the IPAAST project was motivated by three objectives: identifying evidence of rural life in the hinterland of the Roman colony of Augusta Emerita, with special attention to forms of resilience and diversification of agrarian activities beyond the areas of highest productivity of the alluvial plain of the Guadiana River. assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and perform a regression analysis to assess the potential distribution of arable lands in the area from Roman times to the present. combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. Attention was focused on a sector of the estate where two elements were coincident 1) preliminary evidence suggested the estate’s highest concentration of archaeological finds. 2) land plots within the estate used for grazing where LIFE Adapt experiments were undertaken. This area encompassed approximately. 6.5 ha. 2 geophysical methods for the exploration were used: Magnetic survey: a 2 sensors gradiometer system was used (Grad602 Bartington). Data sets: RC_MAG 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data. Electromagnetic induction with a EM38Mk2 by Geonics. Data sets: RC_EMI01. 01 Vector limits of survey area 02 Vector file of point data (raw data) 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m RC_EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m
DOI: 10.5281/zenodo.7863891
title: ipaast-czo case study: The Rinconada Estate.

description: The interest in testing different survey methods within the framework of the IPAAST project was motivated by three objectives: identifying evidence of rural life in the hinterland of the Roman colony of Augusta Emerita, with special attention to forms of resilience and diversification of agrarian activities beyond the areas of highest productivity of the alluvial plain of the Guadiana River. assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and perform a regression analysis to assess the potential distribution of arable lands in the area from Roman times to the present. combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. Attention was focused on a sector of the estate where two elements were coincident 1) preliminary evidence suggested the estate’s highest concentration of archaeological finds. 2) land plots within the estate used for grazing where LIFE Adapt experiments were undertaken. This area encompassed approximately. 6.5 ha. 2 geophysical methods for the exploration were used: Magnetic survey: a 2 sensors gradiometer system was used (Grad602 Bartington). Data sets: RC_MAG 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data. Electromagnetic induction with a EM38Mk2 by Geonics. Data sets: RC_EMI01. 01 Vector limits of survey area 02 Vector file of point data (raw data) 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m RC_EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m
DOI: 10.6084/m9.figshare.22699371
title: Data.zip from The more numerous the longer: how the integration between numerosity and time leads to a common neural response

description: If you are stuck in a traffic jam, the more numerous the queuing cars are, the longer you expect to wait. Time and numerosity are stimulus dimensions often associated in the same percept and whose interaction can lead to misjudgements. At brain level it is unclear to which extent time and numerosity recruit same/different neural populations and how their perceptual integration leads to changes in these populations' responses. Here we used high-spatial resolution fMRI with neural model-based analyses to investigate how the topographic representation of numerosity and time change when these dimensions are varied together on the same visual stimulus in a congruent (the more numerous the items, the longer the display time) or incongruent manner. Compared to baseline conditions, where only one dimension was changed at a time, the variation of both stimulus dimensions led to changes in neural population responses that either became more sensitive to the two features or to one of them. Magnitude integration led also to degradation of topographies and shifts in response preferences. These changes were more pronounced in the comparison between parietal and frontal maps. Our results while pointing out to partially distinct representations of time and numerosity show a common neural response to magnitude integration.
DOI: 10.6084/m9.figshare.22699371.v1
title: Data.zip from The more numerous the longer: how the integration between numerosity and time leads to a common neural response

description: If you are stuck in a traffic jam, the more numerous the queuing cars are, the longer you expect to wait. Time and numerosity are stimulus dimensions often associated in the same percept and whose interaction can lead to misjudgements. At brain level it is unclear to which extent time and numerosity recruit same/different neural populations and how their perceptual integration leads to changes in these populations' responses. Here we used high-spatial resolution fMRI with neural model-based analyses to investigate how the topographic representation of numerosity and time change when these dimensions are varied together on the same visual stimulus in a congruent (the more numerous the items, the longer the display time) or incongruent manner. Compared to baseline conditions, where only one dimension was changed at a time, the variation of both stimulus dimensions led to changes in neural population responses that either became more sensitive to the two features or to one of them. Magnitude integration led also to degradation of topographies and shifts in response preferences. These changes were more pronounced in the comparison between parietal and frontal maps. Our results while pointing out to partially distinct representations of time and numerosity show a common neural response to magnitude integration.
DOI: 10.5281/zenodo.7866287
title: COVID-19 PBMC sample information and the VCF file of variants around OAS1 gene.

description: We investigated our recently published PBMC scRNA-seq data (Stephenson et al. 2021 Nat Med) obtained from 112 donors, including 84 COVID-19 positive individuals, and profiled using the CITE-seq approach, as an independent in vivo validation of OAS1 eQTL colocalisation with GWAS locus for COVID-19 susceptibility. The dataset includes both sample information and genotype information of variants around OAS1 gene (chr12:111906777-113906777) as in VCF format. The whole variant data of the COVID-19 PBMC samples is available upon request.
DOI: 10.5281/zenodo.7866286
title: COVID-19 PBMC sample information and the VCF file of variants around OAS1 gene.

description: We investigated our recently published PBMC scRNA-seq data (Stephenson et al. 2021 Nat Med) obtained from 112 donors, including 84 COVID-19 positive individuals, and profiled using the CITE-seq approach, as an independent in vivo validation of OAS1 eQTL colocalisation with GWAS locus for COVID-19 susceptibility. The dataset includes both sample information and genotype information of variants around OAS1 gene (chr12:111906777-113906777) as in VCF format. The whole variant data of the COVID-19 PBMC samples is available upon request.
DOI: 10.6084/m9.figshare.22699324
title: CLT and predictive heuristics

description: Data describing three studies using predictions of the following outcome of thrown die and coin tosses, while manipulating the level of construal.
DOI: 10.6084/m9.figshare.22699324.v1
title: CLT and predictive heuristics

description: Data describing three studies using predictions of the following outcome of thrown die and coin tosses, while manipulating the level of construal.
DOI: 10.6084/m9.figshare.22699341
title: CombMaskArray.npy from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.
DOI: 10.6084/m9.figshare.22699344
title: readme.txt from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.
DOI: 10.6084/m9.figshare.22699344.v1
title: readme.txt from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.
DOI: 10.6084/m9.figshare.22699347.v1
title: ColonySumDataframe.csv from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.
DOI: 10.5517/ccdc.csd.cc2ck7v1
title: CCDC 2191323: Experimental Crystal Structure Determination

description: Related Article: Andreas C. Hans, Patrick M. Becker, Johanna Haußmann, Simon Suhr, Daniel M. Wanner, Vera Lederer, Felix Willig, Wolfgang Frey, Biprajit Sarkar, Johannes Kästner, René Peters|2023|Angew.Chem.,Int.Ed.|62|e202217519|doi:10.1002/anie.202217519
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ck7x3
title: CCDC 2191325: Experimental Crystal Structure Determination

description: Related Article: Andreas C. Hans, Patrick M. Becker, Johanna Haußmann, Simon Suhr, Daniel M. Wanner, Vera Lederer, Felix Willig, Wolfgang Frey, Biprajit Sarkar, Johannes Kästner, René Peters|2023|Angew.Chem.,Int.Ed.|62|e202217519|doi:10.1002/anie.202217519
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22699347
title: ColonySumDataframe.csv from Manipulating nest architecture reveals three-dimensional building strategies and colony resilience in honeybees

description: Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function throughout development because we can image the three-dimensional structure repeatedly and non-destructively. Here, we tracked nest-wide comb growth in six colonies over 45 days (control colonies) and found that colonies have a stereotypical process of development that maintains a spheroid nest shape. To experimentally test if nest structure is important for colony function, we shuffled the nests of an additional six colonies, weekly rearranging the comb positions and orientations (shuffled colonies). Surprisingly, we found no differences between control and shuffled colonies in multiple colony performance metrics—worker population, comb area, hive weight and nest temperature. However, using predictive modelling to examine how workers allocate comb to expand their nests, we show that shuffled colonies compensate for these disruptions by accounting for the three-dimensional structure to reconnect their nest. This suggests that nest architecture is more flexible than previously thought, and that superorganisms have mechanisms to compensate for drastic architectural perturbations and maintain colony function.