cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/82fa6380-c40c-4c40-b5ec-933b0253e6ce.v4
title: Data underlying the publication: Species sorting shapes the divergence of a natural bacterial community with repeatable functionality during propagation with alternative substrates

description: This data is derived from a field based adaptive evolution experiment. Here, we explored a process of species sorting and its consequence on community-level functionality using mabisi, a traditional Zambian fermented milk, by exposing a common mabisi microbial community to five distinct substrates and propagating replicate communities at three farm sites in rural Zambia. The substrates - raw bovine milk (control), low-fat milk, full-cream milk, and the infant formulas F100 and S26 – represented novel environments, were propagated at a fixed dilution and static conditions to generate ~ 66 generations. Microbial community composition was profiled through 16S rDNA sequencing, while community-level functioning was assessed through volatile organic compound profiling by GC-MS, pH changes with a pH meter, and consistency analysis using an Adam's consistometer.
DOI: 10.5281/zenodo.16941252
title: scRNA-seq of CD4+T cells from ITP patients
DOI: 10.5281/zenodo.16941253
title: scRNA-seq of CD4+T cells from ITP patients
DOI: 10.5281/zenodo.17309415
title: Particle Agency and the effects of consciousness
title: Particle Agency

description: Abstract

 

The observer effect is typically framed as an external intervention: apparatus or agent “measures,” a quantum state “collapses,” and classical facts appear. I propose a complementary, operational reframing: **particle agency**—the idea that elementary systems possess an internally parameterized, interaction-local “policy” that constrains how information about them is externalized during measurement‐like interactions. Formally, I model this by allowing quantum instruments (completely positive (CP) instruments implementing POVMs) to depend on a **latent, endogenous state** (a) that is locally updated by interactions but remains strictly non-signalling at the operational level. This yields two tracks: (i) a **purely interpretive** reading (equivalent to standard quantum mechanics for (a) unobservable and α=0), and (ii) a **mechanistic** reading where weak, testable corrections ((\alpha>0)) subtly alter interference visibility or outcome statistics in autonomous, feedback-capable environments (including living systems) while preserving no-signalling and Born-rule consistency to leading order. I outline falsifiable postulates, a minimal formalism, and three small experiments—two photonic and one solid-state/biophysical—that can bound or detect agency strength. The point is not metaphysics. It’s a crisp operational question: **does endogenous, adaptive structure in the measured system modulate the information map realized by measurement?** If yes, we gain levers for new physics at the quantum–life interface; if no, we gain hard bounds.
DOI: 10.5281/zenodo.17309416
title: Particle Agency and the effects of consciousness
title: Particle Agency

description: Abstract

 

The observer effect is typically framed as an external intervention: apparatus or agent “measures,” a quantum state “collapses,” and classical facts appear. I propose a complementary, operational reframing: **particle agency**—the idea that elementary systems possess an internally parameterized, interaction-local “policy” that constrains how information about them is externalized during measurement‐like interactions. Formally, I model this by allowing quantum instruments (completely positive (CP) instruments implementing POVMs) to depend on a **latent, endogenous state** (a) that is locally updated by interactions but remains strictly non-signalling at the operational level. This yields two tracks: (i) a **purely interpretive** reading (equivalent to standard quantum mechanics for (a) unobservable and α=0), and (ii) a **mechanistic** reading where weak, testable corrections ((\alpha>0)) subtly alter interference visibility or outcome statistics in autonomous, feedback-capable environments (including living systems) while preserving no-signalling and Born-rule consistency to leading order. I outline falsifiable postulates, a minimal formalism, and three small experiments—two photonic and one solid-state/biophysical—that can bound or detect agency strength. The point is not metaphysics. It’s a crisp operational question: **does endogenous, adaptive structure in the measured system modulate the information map realized by measurement?** If yes, we gain levers for new physics at the quantum–life interface; if no, we gain hard bounds.
DOI: 10.5281/zenodo.15681680
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence (part 3)

description: This dataset contains part 3 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

Dataset Parts:



Part1: 10.5281/zenodo.17293981

Part 2: 10.5281/zenodo.17309680

Part 3 (this record): 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.17309818
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence (part 3)

description: This dataset contains part 3 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

Dataset Parts:



Part1: 10.5281/zenodo.17293981

Part 2: 10.5281/zenodo.17309680

Part 3 (this record): 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.17310232
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2025-10-10 — cumulative data.
DOI: 10.6084/m9.figshare.30327316
title: Uni-Full

description: Uni-Full checkpoints and additional files
DOI: 10.6084/m9.figshare.30327316.v1
title: Uni-Full

description: Uni-Full checkpoints and additional files
DOI: 10.5281/zenodo.17309649
title: Constraining the fluidity parameter range in Glen's flow law (n = 4) using inverse modelling of Antarctic ice shelves
DOI: 10.5281/zenodo.15681514
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence (part 2)

description: This dataset contains part 2 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

Dataset Parts:



Part1: 10.5281/zenodo.17293981

Part 2(this record): 10.5281/zenodo.17309680

Part 3: 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.17309680
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence (part 2)

description: This dataset contains part 2 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

Dataset Parts:



Part1: 10.5281/zenodo.17293981

Part 2(this record): 10.5281/zenodo.17309680

Part 3: 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.15681550
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence

description: This dataset contains part 1 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

 

Dataset Parts:



Part1 (this record): 10.5281/zenodo.17293981

Part 2: 10.5281/zenodo.17309680

Part 3: 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.17293981
title: Spatially inhomogeneous phase change, and its effect on cloud turbulence

description: This dataset contains part 1 of a 3-part collection of data used for reproducing results for [Spatially inhomogeneous phase change, and its effect on cloud turbulence]. The data includes high-resolution simulations of DNS turbulence and related variables.

The dataset has been split due to Zenodo’s 50 GB per-record upload limit.

 

Dataset Parts:



Part1 (this record): 10.5281/zenodo.17293981

Part 2: 10.5281/zenodo.17309680

Part 3: 10.5281/zenodo.17309818
DOI: 10.5281/zenodo.17310257
title: ONLAYN TЕLЕVIDЕNIYENING SHAKLLANISHI VA RIVOJLANISHI
DOI: 10.5281/zenodo.17310258
title: ONLAYN TЕLЕVIDЕNIYENING SHAKLLANISHI VA RIVOJLANISHI
DOI: 10.5281/zenodo.15681118
title: Long-Term Drift Behavior of Electronic Nose

description: The goal of the dataset is to capture the long-term drift behavior of a commercial electronic nose based on 62 metal-oxide gas sensors. We measured three chemical analytes at different concentrations over 12 months: diacetyl (0.1 ppm and 1 ppm), 2-phenylethanol (200 ppm and 1000 ppm), and ethanol, resulting in 700 time series recordings for each sensor across 40 days. Each single measurement includes a three-stage cycle: 1) baseline air for 5 min, 2) sample air exposure for 5 min, and 3) recovery stage for 5 min. The cycle stage information is given in the dataset as well. The dataset includes the readings from all 62 gas sensors (‘R’), from a temperature sensor (‘T01’) and from one humidity sensor (‘H01’).

All data files are provided in .csv format with a single space character as separator for the values and a period as decimal separator. The main directory contains different folders containing the raw data for every measurement day and additionally one file containing the processed data with pre-extracted features calculated for the all measurements. Within each directory, the individual files are named according to the substance and concentration measured. 

This dataset can be used, for example, to evaluate and develop methods for feature extraction, sensor drift detection and compensation. Especially due to the long period of time and the controlled experimental conditions, it is valuable for studying drift phenomena.

Please refer to the following publication for more details about the dataset and the experimental conditions: https://doi.org/10.1038/s41597-025-05993-8
DOI: 10.5281/zenodo.15681119
title: Long-Term Drift Behavior of Electronic Nose

description: The goal of the dataset is to capture the long-term drift behavior of a commercial electronic nose based on 62 metal-oxide gas sensors. We measured three chemical analytes at different concentrations over 12 months: diacetyl (0.1 ppm and 1 ppm), 2-phenylethanol (200 ppm and 1000 ppm), and ethanol, resulting in 700 time series recordings for each sensor across 40 days. Each single measurement includes a three-stage cycle: 1) baseline air for 5 min, 2) sample air exposure for 5 min, and 3) recovery stage for 5 min. The cycle stage information is given in the dataset as well. The dataset includes the readings from all 62 gas sensors (‘R’), from a temperature sensor (‘T01’) and from one humidity sensor (‘H01’).

All data files are provided in .csv format with a single space character as separator for the values and a period as decimal separator. The main directory contains different folders containing the raw data for every measurement day and additionally one file containing the processed data with pre-extracted features calculated for the all measurements. Within each directory, the individual files are named according to the substance and concentration measured. 

This dataset can be used, for example, to evaluate and develop methods for feature extraction, sensor drift detection and compensation. Especially due to the long period of time and the controlled experimental conditions, it is valuable for studying drift phenomena.

Please refer to the following publication for more details about the dataset and the experimental conditions: https://doi.org/10.1038/s41597-025-05993-8
DOI: 10.5517/ccqjnkf
title: CCDC 671415: Experimental Crystal Structure Determination

description: Related Article: S.R.Batten, B.F.Hoskins, R.Robson|1998|New J.Chem.|22|173|doi:10.1039/a707639h
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/ccqjnhc
title: CCDC 671413: Experimental Crystal Structure Determination

description: Related Article: S.R.Batten, B.F.Hoskins, R.Robson|1998|New J.Chem.|22|173|doi:10.1039/a707639h
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/ccqjnjd
title: CCDC 671414: Experimental Crystal Structure Determination

description: Related Article: S.R.Batten, B.F.Hoskins, R.Robson|1998|New J.Chem.|22|173|doi:10.1039/a707639h
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.17309353
title: Ciliwung Watershed Dataset and Model

description: Dataset with 2D HEC-RAS and HEC-HMS models for the Ciliwung Watershed, Jakarta, Indonesia

This data set is designed to support 2D HEC-RAS modeling in urban areas of Jakarta in the Ciliwung Watershed, which faces significant challenges related to water resource management, particularly ineffective local drainage during flooding.

This data set includes:

1. Rainfall in Excel format, generated from the GSMaP MVK v7 rainfall data set (Kubota et al., 2020).

2. Land cover

3. Water levels for each observation post

4. HEC-HMS and HEC-RAS models
DOI: 10.5281/zenodo.17309354
title: Ciliwung Watershed Dataset and Model

description: Dataset with 2D HEC-RAS and HEC-HMS models for the Ciliwung Watershed, Jakarta, Indonesia

This data set is designed to support 2D HEC-RAS modeling in urban areas of Jakarta in the Ciliwung Watershed, which faces significant challenges related to water resource management, particularly ineffective local drainage during flooding.

This data set includes:

1. Rainfall in Excel format, generated from the GSMaP MVK v7 rainfall data set (Kubota et al., 2020).

2. Land cover

3. Water levels for each observation post

4. HEC-HMS and HEC-RAS models
DOI: 10.5517/cc3dvlx
title: CCDC 101729: Experimental Crystal Structure Determination

description: Related Article: D.Sanz, M.Alejandra Pince, R.M.Claramunt, C.Fernandez-Castano, C.Foces-Foces, J.Elguero|1999|J.Phys.Org.Chem.|12|455|doi:10.1002/(SICI)1099-1395(199906)12:6<455::AID-POC146>3.3.CO;2-V
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/cc3dvmy
title: CCDC 101730: Experimental Crystal Structure Determination

description: Related Article: D.Sanz, M.Alejandra Pince, R.M.Claramunt, C.Fernandez-Castano, C.Foces-Foces, J.Elguero|1999|J.Phys.Org.Chem.|12|455|doi:10.1002/(SICI)1099-1395(199906)12:6<455::AID-POC146>3.3.CO;2-V
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/cc4fk03
title: CCDC 132184: Experimental Crystal Structure Determination

description: Related Article: G.G.Melikyan, F.Amiryan, M.Visi, K.I.Hardcastle, B.L.Bales, G.Aslanyan, S.H.Badanyan|2000|Inorg.Chim.Acta|308|45|doi:10.1016/S0020-1693(00)00197-3
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/cc4xb1d
title: CCDC 146383: Experimental Crystal Structure Determination

description: Related Article: J.Makarevic, M.Jokic, B.Peric, V.Tomisic, B.Kojic-Prodic, M.Zinic|2001|Chem.-Eur.J.|7|3328|doi:10.1002/1521-3765(20010803)7:15<3328::AID-CHEM3328>3.0.CO;2-C
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/cc5x3cj
title: CCDC 175967: Experimental Crystal Structure Determination

description: Related Article: L.J.Farrugia, R.J.Cross, H.R.L.Barley|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m494|doi:10.1107/S1600536801015884
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/cc5x3dk
title: CCDC 175968: Experimental Crystal Structure Determination

description: Related Article: H.J.Gilfoy, K.N.Robertson, T.S.Cameron, M.A.S.Aquino|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m496|doi:10.1107/S1600536801016063
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/cc5x3fl
title: CCDC 175969: Experimental Crystal Structure Determination

description: Related Article: M.S.Nandhini, R.V.Krishnakumar, S.Natarajan|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m498|doi:10.1107/S1600536801016099
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/cc5x3gm
title: CCDC 175970: Experimental Crystal Structure Determination

description: Related Article: Ju-Hsiou Liao, Ching-Ting Su, Che-Chih Hsu|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m501|doi:10.1107/S1600536801015835
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/cc5x3hn
title: CCDC 175971: Experimental Crystal Structure Determination

description: Related Article: C.Evans, B.K.Nicholson, A.G.Oliver|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m504|doi:10.1107/S1600536801016178
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/cc5x3kq
title: CCDC 175973: Experimental Crystal Structure Determination

description: Related Article: M.C.Smith, S.C.Davies, D.L.Hughes, D.J.Evans|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m509|doi:10.1107/S1600536801016348
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/cc5x3lr
title: CCDC 175974: Experimental Crystal Structure Determination

description: Related Article: Chuan-De Wu, Quan-Zheng Zhang, Can-Zhong Lu, Hong-Hui Zhuang, Jin-Shun Huang|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m511|doi:10.1107/S1600536801016919
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/cc581q5
title: CCDC 156696: Experimental Crystal Structure Determination

description: Related Article: Gh.Borodi, A.Hernanz, I.Bratu, M.Pop, R.Navarro|2001|Acta Crystallogr.,Sect.E:Struct.Rep.Online|57|m514|doi:10.1107/S1600536801016786
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.