Find research datasets worth reusing

opencc-by-4.0Oct 2020View details →

Dataset for paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"

This dataset includes all results presented in the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020 DOI: 10.1002/admt.202000659. URL: https://onlinelibrary.wiley.com/doi/full/10.1002/admt.202000659 List of data in this dataset: Fig.1-Theoretical Analysis and Basic characteristics.xlsx Fig.2-Experimental results-Coil design.xlsx Fig.3-Cyclic Bending and Folding.xlsx Fig.4-Folding Angle Sensing Performance Evaluation.xlsx Fig.5-Case studies.xlsx All the data included in this dataset were collected and processed by Dr. Hongbo Wang. Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Nov 2024View details →

Temperature-dependent fold-switching mechanism of the circadian clock protein KaiB

Derived data accompanying publication of Temperature-dependent fold-switching mechanism of the circadian clock protein KaiB (Zhang et al., PNAS 2024).   This dataset contains data for fold-switching of KaiB from simulations performed using the Upside coarse-grained model (Jumper et al. PLoS Comput. Bio 2017). Files contained include collective variables, kinetic quantities (committors), and initial structures used to seed unbiased simulations. These data should be sufficient recreate the analysis shown in the associated publicaion. Raw trajectory files have not been deposited due to their size; contact the author (Spencer Guo) to request.

opencc-zeroJan 2022View details →

The Fano 3-fold database

The Fano 3-fold database This is a dataset that relates to the graded (homogeneous coordinate) rings of possible algebraic varieties: complex Fano 3-folds with Fano index 1. Each entry in this dataset records the (anticanonical) Hilbert series of a possible Fano 3-fold $X$, along with the result of some analysis about how $X$ may be (anticanonically) embedded in weighted projective space $\mathbb{P}(w_1,w_2,\ldots,w_s)$. For details, see the paper [BK22], which is a companion and update to the original paper [ABR02]. If you make use of this data, please consider citing [BK22] and the DOI for this data: doi:10.5281/zenodo.5820338 The data consists of two files in key:value format, "fano3.txt" and "matchmaker.txt". The files "fano3.sql" and "matchmaker.sql" contain the same data as the key:value files, but formatted ready for inserting in sqlite. fano3.txt This file contains data that relates to the graded (homogeneous coordinate) rings of possible algebraic varieties. For each entry, the essential characteristic data is the genus and basket; everything else follows (with the exception of the ID). Briefly, this essential data determines a power series, the Hilbert series, $\text{Hilb}(X,-K_X) = 1 + h_1t + h_2t^2 + \ldots$ that can be written as a rational function of the form $(\text{polynomial numerator in $t$}) / \prod_{i=1}^s(1-t^{w_i})$, where $w_1,w_2,\ldots,w_s$ are positive integer weights. The data consists of 52646 entries. The 39550 stable entries (that is, with 'stable' equal to 'true') are assigned an ID 'id' in the range 1-39550. The 13096 unstable entries (that is, with 'stable' equal to 'false') are assigned an ID in the range 41515-54610. IDs in the range 39551-41514 are assigned to the higher index Fano varieties, and are not included in this dataset. Example entry id: 1 weights: 5,6,7,...,16 has_elephant: false genus: -2 h1: 0 h2: 0 ... h10: 4 numerator: t^317 - t^300 - 6*t^299 - ... + 1 codimension: 24 basket: 1/2(1,1,1),1/2(1,1,1),1/3(1,1,2),...,1/5(1,2,3) basket_size: 7 equation_degrees: 17,18,18,...,27 degree: 1/60 k3_rank: 19 bogomolov: -8/15 kawamata: 1429/60 stable: true (Some data truncated for readability.) Brief description of an entry id: a unique integer ID for this entry genus: $h^0(X,-K_X)-2$ basket: multiset of quotient singularities $\frac{1}{r}(f,a,-a)$ basket_size: number of elements in the 'basket' k3_rank: $\sum(r-1)$ taken over the 'basket' kawamata: $\sum(r-\frac{1}{r})$ taken over the 'basket' bogomolov: sum of terms over 'basket' relating to stability (see [BK22]) stable: true if and only if 'bogolomov' $\le0$ degree: anticanonical degree $(-K_X)^3$ of $X$, determined by above data (see [BK22]) h1,h2,...,h10: coefficients of $t,t^2,\ldots,t^{10}$ in the Hilbert series $\text{Hilb}(X,-K_X)$ weights: suggestion of weights $w_1,w_2,\ldots,w_s$ for the anticanonical embedding $X\subset\mathbb{P}(w_1,w_2,\ldots,w_s)$ numerator: polynomial such that the Hilbert series $\text{Hilb}(X,-K_X)$ is given by the power series expansion of $\text{'numerator'} / \prod_{i=1}^s(1-t^{w_i})$, where the $w_i$ in the denominator range over the 'weights' codimension: the codimension of $X$ in the suggested embedding, equal to $s - 4$ has_elephant: true if and only if $h_1 > 0$ matchmaker.txt This file contains a set of pairs of IDs, in each case one from the canonical toric Fano classification [Kas10,toric] and one from "fano3.txt". The meaning is that the Hilbert series of the two agree, and this file contains all such agreeing pairs. Example entry toric_id: 1 fano3_id: 27334 Brief description of an entry toric_id: integer ID in the range 1-674688, corresponding to an 'id' from canonical toric Fano dataset [Kas10,toric] fano3_id: an integer ID in the range 1-39550 or 41515-54610, corresponding to an 'id' from "fano3.txt" fano3.sql and matchmaker.sql The files "fano3.sql" and "matchmaker.sql" contain sqlite-formatted versions of the data described above, and can be imported into an sqlite database via, for example: <pre><code class="language-bash">$ cat fano3.sql matchmaker.sql | sqlite3 fano3.db</code></pre> This can then be easily queried. For example: <pre><code class="language-bash">$ sqlite3 fano3.db > SELECT id FROM fano3 WHERE degree = 72 AND stable IS TRUE; 39550 > SELECT toric_id FROM fano3totoricf3c WHERE fano3_id = 39550; 547334 547377</code></pre>   References [ABR02] Selma Altinok, Gavin Brown, and Miles Reid, "Fano 3-folds, K3 surfaces and graded rings", in Topology and geometry: commemorating SISTAG, volume 314 of Contemp. Math., pages 25-53. Amer. Math. Soc., Providence, RI, 2002. [BK22] Gavin Brown and Alexander Kasprzyk, "Kawamata boundedness for Fano threefolds and the Graded Ring Database", 2022. [Kas10] Alexander Kasprzyk, "Canonical toric Fano threefolds", Canadian Journal of Mathematics, 62(6), 1293-1309, 2010. [toric] Alexander Kasprzyk, "The classification of toric canonical Fano 3-folds", Zenodo, doi:10.5281/zenodo.5866330

opencc-zeroAug 2010View details →

The classification of toric canonical Fano 3-folds

The classification of toric canonical Fano 3-folds This dataset describes the classification of all toric canonical Fano 3-folds [1]. Equivalently, it describes the classification of all 3-dimensional convex lattice polytopes with exactly one interior lattice point. A toric Fano 3-fold $X$ (that is, a 3-dimensional toric variety with ample anticanonical divisor $-K$) with at worst canonical singularities corresponds to a 3-dimensional convex polytope $P$ with vertices that are primitive integer vectors, and such that $P$ contains exactly one lattice point, the origin, in its strict interior. The fan of $X$ is given by the spanning fan of $P$: that is, the fan whose cones are spanned by the faces of $P$. In the language of toric geometry, $P$ is in the lattice $N \cong \mathbb{Z}^3$. Since two polytopes which are equal after a lattice change of basis give rise to isomorphic toric varieties, a polytope is regarded as being defined only up to the action of $\mathrm{GL}(\mathbb{Z}^3)$. There are 674688 isomorphism classes. For details, see the paper [1]. If you make use of this data, please consider citing [1] and the DOI for this data: doi:10.5281/zenodo.5866330 toricf3c.txt The file "toricf3c.txt" contains key:value records with keys and values as described below, where each record is separated by a blank line. Each key:value record determines a toric Fano 3-fold $X$, or equivalently a lattice polytope $P$, in the classification. There are 674688 records in the file. Example record id: 1 num_vertices: 16 num_faces: 10 num_points: 22 is_terminal: false is_simplicial: false is_regular: false is_reflexive: false vertex_list: [[2,1,1],[-1,0,-1],[-2,-1,-1],[0,1,1],[0,-1,-1],[0,-1,-2],[-2,-1,0],[0,1,0],[2,1,2],[-1,0,1],[1,1,2],[1,0,1],[1,1,0],[1,0,-1],[-1,-1,0],[-1,-1,-2]] point_list: [[2,1,1],[-1,0,-1],[-2,-1,-1],[0,1,1],[0,-1,-1],[0,0,-1],[0,-1,-2],[-1,0,0],[-2,-1,0],[1,0,0],[0,1,0],[0,0,1],[-1,-1,-1],[2,1,2],[1,1,1],[-1,0,1],[1,1,2],[1,0,1],[1,1,0],[1,0,-1],[-1,-1,0],[-1,-1,-2]] dual_list: [[0,-1,1],[0,-1,0],[1,-1,0],[-1,1,0],[0,1,0],[0,1,-1],[1/2,-1/2,-1/2],[-1/2,-1/2,1/2],[-1/2,3/2,-1/2],[1/2,-1/2,1/2]] ehrhart_delta: [1,19,23,1] hilbert_delta: [1,7,25,47,47,25,7,1] normal_form: [[1,0,0],[0,1,0],[1,1,2],[0,-1,-2],[-1,0,-2],[1,-1,0],[-1,1,0],[1,0,2],[0,1,2],[-1,-1,-2],[0,-1,0],[-1,0,0],[-1,1,1],[1,1,1],[-1,-1,-3],[1,-1,1]] volume: 44 degree: 10 gorenstein_index: 2 h1: 7 h2: 29 h3: 75 h4: 157 h5: 283 h6: 465 h7: 711 h8: 1033 h9: 1439 h10: 1941 e1: 23 e2: 109 e3: 303 e4: 649 e5: 1191 e6: 1973 e7: 3039 e8: 4433 e9: 6199 e10: 8381 picard_rank: 1 automorphism_order: 24 is_barycentre_zero: true is_dual_barycentre_zero: true We fix some notation. Let: <ul> <li>$N \cong \mathbb{Z}^3$be a lattice of rank 3;</li> <li>$P$ denote the lattice polytope in $N_\mathbb{Q}=N\otimes_\mathbb{Z}\mathbb{Q}$ defined by the key:value record;</li> <li>$F$ denote the spanning fan in N of P;</li> <li>$X$ denote the toric Fano 3-fold corresponding to $F$;</li> <li>$M = \mathrm{Hom}(N,\mathbb{Z})\cong\mathbb{Z}^3$ denote the lattice dual to $N$;</li> <li>$P^*$ denote the (rational) polytope in $M_\mathbb{Q}$ dual to $P$ (also called the polar polytope);</li> <li>$-K$ denote the anticanonical divisor of $X$.</li> </ul> The keys and values are as follows. id: A unique integer ID for this record, in the range 1 to 674688. num_vertices: A positive integer. The number of vertices $\#\mathrm{vert}(P)$ of $P$. Equivalently, the number of rays of $F$. By duality this is also equal to the number of 2-dimensional faces of $P^*$. num_faces: A positive integer. The number of 2-dimensional faces of $P$. Equivalently, the number of top-dimensional cones of $F$. By duality this is also equal to the number of vertices of $P^*$. num_points: A positive integer. The number of lattice points $\#(P \cap N)$. is_terminal: A boolean. True if and only if $X$ has at worst terminal singularities. Equivalently, true if and only if the only lattice points on the boundary of $P$ are the vertices of $P$; that is, $P \cap N = \mathrm{vert}(P) \cup \{0\}$. is_simplicial: A boolean. True if and only if $P$ is simplicial. Equivalently, true if and only if $X$ is $\mathbb{Q}$-factorial. By duality, this is true if and only if $P^*$ is simple. is_regular: A boolean. True if and only if $X$ is smooth. Equivalently, true if and only if every 2-dimensional face of $P$ is a triangle whose vertices $\mathbb{Z}$-generate the lattice $N$. If is_regular is true then both is_simplicial and is_terminal must be true. is_reflexive: A boolean. True if and only if $X$ is Gorenstein; that is, $-K$ is Cartier. Equivalently, true if and only if $P^*$ is a lattice polytope. vertex_list: A sequence of lattice points in $N$. The vertices $\mathrm{vert}(P)$ of $P$. Equivalently, the primitive lattice generators of the rays of $F$. The number of points is given by num_vertices. point_list: A sequence of lattice points in $N$. The lattice points $P \cap N$. The number of points is given by num_points. dual_list: A sequence of rational points in $M$. The vertices $\mathrm{vert}(P^*)$ of $P^*$. These will be lattice points if and only if is_reflexive is true. The number of points is given (via duality) by num_faces. ehrhart_delta: A sequence $(1,a_1,a_2,1)$ of four integers, the first and last of which are always 1. This is the Ehrhart $\delta$-vector (or $h^*$-vector) of $P$. The Ehrhart series $\mathrm{Ehr}(P)$ of $P$ is given by $\mathrm{Ehr}(P) = (1 + a_1t + a_2t^2 + t^3) / (1 - t)^4$. hilbert_delta: A sequence $(b_0,b_1,\ldots,b_N)$ of integers such that $b_i = b_{N - i}$, and $b_0 = b_N = 1$. This is called the Ehrhart $\delta$-vector (or $h^*$-vector) of $P^*$. Write $N = 4r - 1$. Then $r$ is the quasiperiod of $P^*$, and $r$ divides gorenstein_index. The Ehrhart series of $P^*$ is given by $\mathrm{Ehr}(P^*) = (b_0 + b_1t + \ldots + b_Nt^N) / (1 - t^r)^4$. The Ehrhart series $\mathrm{Ehr}(P^*)$ of $P^*$ is equal to the Hilbert series $\mathrm{Hilb}(X,-K)$. normal_form: A sequence of lattice points in $N$. The PALP normal form of the vertices of $P$; see [2,3]. volume: A positive integer. The lattice-normalised volume $\mathrm{Vol}(P)$ of $P$. This is equal to the sum of the ehrhart_delta: $\mathrm{Vol}(P) = 1 + a_1 + a_2 + 1$. degree: A positive integer. The anticanonical degree $(-K)^3$ of $X$. Equivalently, the lattice-normalised volume $\mathrm{Vol}(P^*)$ of $P^*$. gorenstein_index: A positive integer. The Gorenstein index of $X$; that is, the smallest multiple $m>0$ such that $-mK$ is Cartier. Equivalently, the smallest multiple $m>0$ such that $mP^*$ is a lattice polytope. This is 1 if and only if is_reflexive is true. h1,...,h10: Positive integers. The value hi $=h_i$ is equal to the number of lattice points in the $i$-th dilation of $P^*$, that is, $h_i = \#(iP^* \cap M)$. Equivalently, $h_i = h^0(X,-iK)$. The values $h_i$ can also be obtained from $\mathrm{Ehr}(P^*)$, or equivalently from $\mathrm{Hilb}(X,-K)$, via the power-series expansion $(b_0 + b_1t + \ldots + b_Nt^N) / (1 - t^r)^4 = 1 + h_1t + h_2t^2 + h_3t^3 + \ldots$, where $(b_0,b_1,\ldots,b_N)$ is given by hilbert_delta. e1,...,e10: Positive integers. The value ei $=e_i$ is equal to the number of lattice points in the $i$-th dilation of $P$, that is, $e_i = \#(iP \cap N)$. In particular, $e_1$ is equal to num_points. The values $e_i$ can also be obtained from $\mathrm{Ehr}(P)$ via the power-series expansion $(1 + a_1t + a_2t^2 + t^3) / (1 - t)^4 = 1 + e_1t + e_2t^2 + e_3t^3 + \ldots$, where $(1,a_1,a_2,1)$ is given by ehrhart_delta. picard_rank: Positive integer. The rank of the Picard group of $X$. When is_simplicial is true, this is equal to $\#\mathrm{vert}(P) - 3$. automorphism_order: Positive integer. The order of the automorphism group $\mathrm{Aut}(P) \leq \mathrm{GL}(\mathbb{Z}^3)$ of $P$. is_barycentre_zero: A boolean. True if and only if the barycentre of $P$ is equal to the origin in $N$. is_dual_barycentre_zero: A boolean. True if and only if the barycentre of $P^*$ is equal to the origin in $M$. toricf3c.sql The file "toricf3c.sql" contain an sqlite-formatted version of the data described above, and can be imported into an sqlite database via, for example: <pre><code class="language-bash">$ cat toricf3c.sql | sqlite3 toricf3c.db</code></pre> This can then be easily queried. For example: <pre><code class="language-bash">$ sqlite3 toricf3c.db > SELECT COUNT(*) FROM toricf3c; 674688 > SELECT vertex_list FROM toricf3c WHERE degree = 72; [[-1,-4,-6],[1,0,0],[0,1,0],[0,0,1]] [[-1,-1,-3],[1,0,0],[0,1,0],[0,0,1]]</code></pre>   References [1] Alexander M. Kasprzyk. Canonical toric Fano threefolds. Canadian Journal of Mathematics, 62(6):1293–1309, 2010. [2] Maximilian Kreuzer, Harald Skarke. PALP, a package for analyzing lattice polytopes with applications to toric geometry. Computer Phys. Comm., 157:87-106, 2004. [3] Roland Grinis, Alexander M. Kasprzyk. Normal forms of convex lattice polytopes. arXiv:1301.6641 [math.CO], 2013

opencc-by-4.0Jun 2022View details →

Cohesin and CTCF control the dynamics of chromosome folding

The dataset contains all the tracking data from Mach et al 2022 paper. Each file has the following header: x,y,z: spot coordinate. For dual color imaging, the distance along x,y and z across channels track: track id frame: time frame cell: cell id

opencc-by-4.0Oct 2022View details →

PhasAGE Expert Seminar- Intrinsic Protein Disorder and Conditional Folding in AlphaFoldDB

The PhasAGE Expert Seminars consist of a series of talks with speakers from PhasAGE partner’s institutions to promote a successful transfer of knowledge about PhasAGE topics – biomolecular phase separation, aging and age-related diseases.

opencc-by-4.0Jun 2024View details →

Data for Stabilization of non-native folds and programmable protein gelation in compositionally designed deep eutectic solvents

<div> Full set of data related to the publication "Stabilization of non-native folds and programmable protein gelation in compositionally designed deep eutectic solvents", published in ACS Nano with DOI:<a title="https://doi.org/10.1021/acsnano.4c01950" href="https://doi.org/10.1021/acsnano.4c01950">10.1021/acsnano.4c01950</a>  Full details on data treatment and logging are included in the file "DataLogging.pdf". All data use ASCII encoding in delimited .txt files.   </div>

opencc-by-4.0Sep 2024View details →

Alphafold2_ab_initio iterative predictions for folding intermediate identification

PDB ids starts from 1 and 8, rmsds, plddts, t-sne embeddings. Check related biorxiv preprint: AlphaFold2 knows some protein folding principles; DOI: https://doi.org/10.1101/2024.08.25.609581.

opencc-by-4.0Dec 2022View details →

Nuclear Genome Organization in Fungi: From Gene folding to Rabl Chromosomes

We discuss the current knowledge on the fungal genome organization, from the association of chromosomes within the nucleus to topological structures at individual genes and the genetic factors required for the hierarchical organization. Chromosome conformation capture followed by high-throughput sequencing (Hi-C) has elucidated how fungal genomes are globally organized in Rabl configuration where centromere or telomere bundles are associated with opposite faces of the nuclear envelope. Here, we explore the presence, in fungal taxa, of the typical proteins associated with genome organization in eukaryotes.

opencc-by-4.0Jun 2023View details →

Diversity and evolution of cerebellar folding in mammals

Coronal cerebellar mid-sections for 56 mammalian species, at the same scale.   This figure is from our open access paper: Heuer, K., Traut, N., de Sousa, A. A., Valk, S., & Toro, R. (2022). Diversity and evolution of cerebellar folding in mammals. bioRxiv. <a href="https://doi.org/10.1101/2022.12.30.522292">https://doi.org/10.1101/2022.12.30.522292</a>   Abstract The process of brain folding is thought to play an important role in the development and organisation of the cerebrum and the cerebellum. The study of cerebellar folding is challenging due to the small size and abundance of its folia. In consequence, little is known about its anatomical diversity and evolution. We constituted an open collection of histological data from 56 mammalian species and manually segmented the cerebrum and the cerebellum. We developed methods to measure the geometry of cerebellar folia and to estimate the thickness of the molecular layer. We used phylogenetic comparative methods to study the diversity and evolution of cerebellar folding and its relationship with the anatomy of the cerebrum. Our results show that the evolution of cerebellar and cerebral anatomy follows a stabilising selection process. We observed 2 groups of phenotypes changing concertedly through evolution: a group of “diverse” phenotypes – varying over several orders of magnitude together with body size, and a group of “stable” phenotypes varying over less than 1 order of magnitude across species. Our analyses confirmed the strong correlation between cerebral and cerebellar volumes across species, and showed in addition that large cerebella are disproportionately more folded than smaller ones. Compared with the extreme variations in cerebellar surface area, folial anatomy and molecular layer thickness varied only slightly, showing a much smaller increase in the larger cerebella. We discuss how these findings could provide new insights into the diversity and evolution of cerebellar folding, the mechanisms of cerebellar and cerebral folding, and their potential influence on the organisation of the brain across species.

opencc-by-4.0Jun 2023View details →

Unveiling metastable ensembles of GRB2 and the relevance of interdomain communication during folding - available data.

The folding process of multidomain proteins is a highly intricate phenomenon involving the assembly of distinct domains into a functional three-dimensional structure. During this process, each domain may fold independently while interacting with other domains to form a functional protein. The folding of multidomain proteins can be influenced by various factors, including the composition and structure of each domain or the presence of disordered linker regions, as well as the surrounding environment. Misfolding of multidomain proteins can lead to the formation of non-functional structures associated with a range of diseases, including cancers and neurodegenerative disorders. Understanding this process is an essential step for many biophysical analyzes, such as stability, interaction, malfunctioning, and rational drug design. One such multidomain protein is the growth factor receptor-bound protein 2 (GRB2), an adaptor protein essential in regulating cell survival. GRB2 consists of one central Src Homology 2 (SH2) domain flanked by two Src Homology 3 (SH3) domains. The SH2 domain interacts with phosphotyrosine regions in other proteins, while the SH3 domains recognize proline-rich regions on protein partners during cell signaling. In this study, we combined computational and experimental techniques to investigate the folding process of GRB2. We sampled the conformational space through computational simulations and mapped the mechanisms involved by calculating free energy profiles, indicating possible intermediate states. From the molecular dynamics and trajectories, we used the Energy Landscape Visualization Method (ELViM), which allowed us to visualize a three-dimensional representation of the overall energy surface. We identified two possible parallel folding routes that cannot be seen in a one-dimensional analysis, with one occurring more frequently during folding. Supporting these results, we used DSC and fluorescence spectroscopy techniques to confirm these intermediate states in vitro. Finally, we analyzed the deletion of domains to compare our model outputs with previously published results, supporting the presence of interdomain modulation. Overall, our study highlights the significance of interdomain communication within the GRB2 protein and its impact on the formation, stability, and structural plasticity, which are crucial for its interaction with other proteins in key signaling pathways.

opencc-by-4.0Jun 2023View details →

Ha-SingleMoleculeLab's data for publication: Linking folding dynamics and function of SAM/SAH riboswitches at the single molecule level

This upload is the raw data that support our findings sent to review on Nucleic Acids Research, corresponding to each individual figure. The paper title is " Linking folding dynamics and function of SAM/SAH riboswitches at the single molecule level".

opencc-by-4.0Oct 2020View details →

Dataset for Supporting Information of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"

This dataset includes all results presented in the "Supporting information" of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020 DOI: 10.5281/zenodo.4099806, DOI: <a href="https://doi.org/10.1002/admt.202000659">10.1002/admt.202000659</a> URL: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fadmt.202000659&file=admt202000659-sup-0001-SuppMat.pdf List of data in this dataset: Fig.S1-Theoretical Analysis.xlsx Fig.S5-LM Coils Folding-Exp and NA.xlsx Fig.S6-CoilFoldingDataARC.xlsx Fig.S7-Cyclic Bending-1000 cycles.xlsx Fig.S8-Cyclic Folding of FPC and LM Coils.xlsx All the data included in this dataset were collected and processed by Dr. Hongbo Wang. Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Oct 2020View details →

Supplementary Video: Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing

Supplementary Video for Adv. Mater. Technol., DOI: 10.1002/admt.202000659 Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing H. Wang,* M. Totaro, S. Veerapandian,M. Ilyas, M. Kong, U. Jeong, L. Beccai* This video (.MP4) includes the following supporting movies: Movie S1. FE modeling of planar coil folding and bending Movie S2. Numerical analysis of planar coil folding and bending Movie S3. Dynamic bending test of FPC coil Movie S4. Dynamic folding test of LM coil Movie S5. Vibration detection with a folded FPC coil Movie S6. Self-sensing origami Movie S7. Sensorized soft pneumatic actuator Movie S8. Wearable sensing Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Jan 2021View details →

Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects - Supplementary Material

This is the Supplementary Material provided for the work accepted on HICSS 2021. Title of work: Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects.     This dataset depicts 589 GitHub README files explored in our article. We devised each repository into 4 categories. AI Applications (78), reference lists (486), Explainable AI tool (6), Ethical AI tool (15). Moreoveer, 4 repositories could not be found, and 181 of them had a Programming Language. In addition, we classified them according to our judgement of Interesting (82) or Great (33), regarding the objectives of our work. 75 repositories were not related to AI Ethics, and 7 of them mentioned COVID-19 in their repositories in some manner. Highlighted repositories in red pertain to categories 3 and 4, that is, tools for implementing AI Ethics, while those in yellow are marked as “Great”. Explainable AI tool and Ethical AI tool were added to 21 occurrences of tools for implementing AI ethics publicly available in repositories. Furthermore, it is seen that many papers open-sourced their codes on GitHub (as in https://github.com/lopusz/awesome-interpretable-machine-learning), meaning that the academic field has also made good progress in implementing ethics in AI, hence, the combined energy of both sources fosters an enhanced debate and stimulates progress towards AI ethics in practice.

openother-openJun 2021View details →

Vocal Fold Paralysis Dataset and Code

Data and Code for Low et al. Uncovering the important acoustic features for detecting vocal fold paralysis with explainable machine learning.

opencc-by-4.0Nov 2023View details →

Low-temperature thermochronology database of the Carpathian fold-and-thrust belt (ZFT; ZHe; AFT; AHe) compilation from 1999 to 2023

The following tables contain the low-temperature thermochronology dataset used in the Carpathian belt's exhumation model inversion. This dataset includes information from four thermochronometers: Apatite and Zircon Fission Track (AFT and ZFT), as well as (U-Th)/He on Apatites and Zircons (AHe and ZHe). Compiled from 1999 to 2023, this database encompasses available literature data related to low-temperature thermochronology in the region. Excel table as well as a PDF file describe the database.

opencc-by-4.0Nov 2024View details →

Hands-On! Video demonstration - Paper folding components

This video demonstrates all possible actions for the Paper folding task, providing real-time examples to help you accurately identify and assess fine motor performance. Use this video alongside the written descriptions and images from the Hands-On! observation tool for a comprehensive understanding of this fine motor task. For more information on the use of this video, please refer to Hands-On! via: <a href="https://doi.org/10.5281/zenodo.14185207">https://doi.org/10.5281/zenodo.14185207</a>

opencc-by-4.0Feb 2021View details →

Two-fold symmetric superconductivity in few-layer NbSe2

Data for the following manuscript:  Hamill, A., Heischmidt, B., Sohn, E. et al. Two-fold symmetric superconductivity in few-layer NbSe2. Nat. Phys. 17, 949–954 (2021). https://doi.org/10.1038/s41567-021-01219-x