cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18484065
title: Emergent Toroïdal Univers

description: Principe fondamental



La Forme avant la dynamique Dans le cadre ETU, un sursaut radio rapide (FRB) n’est ni une explosion de matière, ni unphénomène thermique.


Il s’agit d’une décharge de phase métrique : une relaxation brutale de latension géométrique locale lorsqu’un objet compact s’aligne transitoirement avec une harmoniquedu Tore cosmologique.

 

La radio n’est pas l’événement. Elle est l’écho minimal d’un réalignement de l’espace-temps.
DOI: 10.34740/kaggle/dsv/14836434
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/kb5282
title: HNCF BioBlitz and organized survey records from 2023 and 2025

description: Data collected by the Forum in organized surveys and bioblitzes; includes plants, birds and invertebrates.
Bioblitzes encouraged members of the public to find specimens which were then identified by our experts. Capture techniques included sweep nets and nighttime moth trapping. Formal surveys of sites were carried out by our amateur experts in pairs or more.
DOI: 10.34740/kaggle/dsv/14836473
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.6084/m9.figshare.30566096
title: Omics and Survival data

description: In cancer research, identifying cancer subtypes and evaluating prognosis are crucial for personalized diagnosis and treatment of cancer. With the advancement of high-throughput sequencing technologies, multi-omics data has become essential for cancer classification and prognostic analysis. By integrating deep learning techniques, it is possible to more accurately identify cancer subtypes, providing a robust basis for personalized treatment of cancer patients. In this study, we propose a convolutional autoencoder prognostic model incorporating a channel attention mechanism (CA-CAE). The model utilizes multi-omics data to predict survival-associated cancer subtypes and identify prognostic genes. We applied CA-CAE to multiple cancer types, successfully identifying subtypes in 15 distinct cancer types and revealing significant survival differences among these subtypes. Moreover, compared to traditional statistical methodsand other deep learning approaches, CA-CAE demonstrated superior performance in predicting survival outcomes.
DOI: 10.6084/m9.figshare.30566096.v2
title: Omics and Survival data

description: In cancer research, identifying cancer subtypes and evaluating prognosis are crucial for personalized diagnosis and treatment of cancer. With the advancement of high-throughput sequencing technologies, multi-omics data has become essential for cancer classification and prognostic analysis. By integrating deep learning techniques, it is possible to more accurately identify cancer subtypes, providing a robust basis for personalized treatment of cancer patients. In this study, we propose a convolutional autoencoder prognostic model incorporating a channel attention mechanism (CA-CAE). The model utilizes multi-omics data to predict survival-associated cancer subtypes and identify prognostic genes. We applied CA-CAE to multiple cancer types, successfully identifying subtypes in 15 distinct cancer types and revealing significant survival differences among these subtypes. Moreover, compared to traditional statistical methodsand other deep learning approaches, CA-CAE demonstrated superior performance in predicting survival outcomes.
DOI: 10.6084/m9.figshare.30566096.v1
title: Omics and Survival data

description: In cancer research, identifying cancer subtypes and evaluating prognosis are crucial for personalized diagnosis and treatment of cancer. With the advancement of high-throughput sequencing technologies, multi-omics data has become essential for cancer classification and prognostic analysis. By integrating deep learning techniques, it is possible to more accurately identify cancer subtypes, providing a robust basis for personalized treatment of cancer patients. In this study, we propose a convolutional autoencoder prognostic model incorporating a channel attention mechanism (CA-CAE). The model utilizes multi-omics data to predict survival-associated cancer subtypes and identify prognostic genes. We applied CA-CAE to multiple cancer types, successfully identifying subtypes in 15 distinct cancer types and revealing significant survival differences among these subtypes. Moreover, compared to traditional statistical methodsand other deep learning approaches, CA-CAE demonstrated superior performance in predicting survival outcomes.
DOI: 10.5281/zenodo.18639515
title: The Geometric Origin of the Gravitational Constant

description: We present a geometric re-parameterization of the Newtonian gravitational constant by expressing it as the inverse square of a single dimensional tension scale. The formulation relies only on dimensional consistency and the measured value of , without introducing new physical parameters or assuming a specific dynamical model. In this representation, changes in gravitational coupling correspond directly to inverse-square changes in the scale itself. The approach provides an operational way to interpret through one derived quantity while remaining fully consistent with SI units and CODATA measurements.
DOI: 10.13140/rg.2.2.32305.85604
title: ABDC 2026 ranking data of journals -quite a few journal ranks have been changed.
DOI: 10.5281/zenodo.18637473
title: A scalable approach to resolving variants of uncertain significance (supplementary data and supporting files)

description: This Zenodo archive hosts all supplementary data associated with “A scalable approach to resolving variants of uncertain significance” and includes all additional files required to reproduce the analyses and figures presented in the study. The accompanying analysis code, and smaller supporting files, are available at https://github.com/bbi-lab/IGVF-cvfg-pillar-project
DOI: 10.5281/zenodo.18637474
title: A scalable approach to resolving variants of uncertain significance (supplementary data and supporting files)

description: This Zenodo archive hosts all supplementary data associated with “A scalable approach to resolving variants of uncertain significance” and includes all additional files required to reproduce the analyses and figures presented in the study. The accompanying analysis code, and smaller supporting files, are available at https://github.com/bbi-lab/IGVF-cvfg-pillar-project
DOI: 10.15468/ce6mge
title: Water Bug (Aquatic Heteroptera) data for Britain - records verified via iRecord

description: The records in this dataset are verified by the Recording scheme and include all verified and accepted data from iRecord. These records may originate from direct addition of records to iRecord, or via other datasets that have been made available via iRecord for verification purposes.
DOI: 10.15468/xe8vwv
title: Plant bugs and allied species records, from iRecord

description: This dataset contains species records for plant bugs and allied species covered by the recording scheme, and that have been verified by the recording scheme. Records are from datasets made available via the iRecord verification process - these records may originate from direct addition of records to iRecord, or via other datasets that have been added to iRecord for verification purposes.
DOI: 10.15468/y5h9md
title: Records from iRecord not covered by a national recording scheme

description: This dataset contains records collated via iRecord for a taxon groups that are not included in a formal national recording scheme. Most of the records are unverified and this must be taken into account in any use of this data. At October 2025 records for these taxon groups are included: currently includes scorpions; Archaeognatha (bristletails); Sternorrhyncha (scale insects, aphids, psyllids, whiteflies etc.); Strepsiptera (stylops); Thysanoptera (thrips); Rotifers; Nematodes; Tardigrades; Diplura (two-tailed bristletails); Phthiraptera (lice); Cestoda (tapeworms); Hemichordata (acorn worms); Embioptera (web spinners); Bacteria; Protozoa.
DOI: 10.15468/gwaejy
title: Hoverfly records verified via iRecord

description: This dataset contains species records for hoverflies (Diptera: Syrphidae) that have been verified via iRecord - these records may originate from direct addition of records to iRecord, or via other datasets that have been made available via iRecord for verification purposes. Most verifications are provided by the Hoverfly Recording Scheme; however, this dataset only includes records added to iRecord, and is not a full copy of the Hoverfly Recording Scheme's dataset.
DOI: 10.6084/m9.figshare.30844304.v1
title: tRNAs and rRNAs of <i>S. californicus</i> ADR1

description: <b>Complete genome sequence of </b><b><i>Streptomyces californicus</i></b><b> ADR1 isolated from </b><b><i>Datura metel</i></b>
DOI: 10.6084/m9.figshare.31338565
title: This repository provides the FASTA sequences of all detected cellular T-DNA (cT-DNA) regions identified in plant genomes analyzed in our study of nGMO plants.

description: This dataset contains FASTA sequences of genomic regions homologous to Agrobacterium T-DNA (cellular T-DNA, cT-DNA) detected in plants.The sequences were recovered from publicly available Sequence Read Archive (SRA) and Whole Genome Shotgun (WGS) datasets using BLASTN with NTfus6 as the query sequence.<br><br>
DOI: 10.6084/m9.figshare.31338565.v1
title: This repository provides the FASTA sequences of all detected cellular T-DNA (cT-DNA) regions identified in plant genomes analyzed in our study of nGMO plants.

description: This dataset contains FASTA sequences of genomic regions homologous to Agrobacterium T-DNA (cellular T-DNA, cT-DNA) detected in plants.The sequences were recovered from publicly available Sequence Read Archive (SRA) and Whole Genome Shotgun (WGS) datasets using BLASTN with NTfus6 as the query sequence.<br><br>
DOI: 10.5281/zenodo.18634552
title: An integrated strategy  maximises cobenefits of conservation and restoration for ecosystem services in coastal wetlands

description: This dataset provides the minimal dataset to interpret and reproduce the analyses reported in the associated manuscript for the Yellow River Delta (China). It includes three functional raster layers (GeoTIFF; WGS 1984 / EPSG:4326;) for carbon storage, habitat quality, and water purification, as well as the complete Marxan v2.43 input files and parameter settings used for conservation–restoration prioritization. File structure and metadata are described in README.txt.
DOI: 10.5281/zenodo.18634553
title: An integrated strategy  maximises cobenefits of conservation and restoration for ecosystem services in coastal wetlands

description: This dataset provides the minimal dataset to interpret and reproduce the analyses reported in the associated manuscript for the Yellow River Delta (China). It includes three functional raster layers (GeoTIFF; WGS 1984 / EPSG:4326;) for carbon storage, habitat quality, and water purification, as well as the complete Marxan v2.43 input files and parameter settings used for conservation–restoration prioritization. File structure and metadata are described in README.txt.
DOI: 10.6084/m9.figshare.31320795
title: Efficacy, safety, and ARIA risk of anti–β-amyloid antibodies in early Alzheimer’s disease: a systematic review, meta-analysis, and meta-regression

description: Alzheimer’s disease (AD) is the most prevalent cause of dementia and has been closely linked to βSupplemental data for this article can be accessed online at ht tps://doi.org/-amyloid accumulation. However, the efficacy and safety of anti–β-amyloid monoclonal antibodies remain debated. We systematically searched PubMed, Embase, and Cochrane databases for RCTs comparing anti–β-amyloid monoclonal antibodies with placebo in early-stage AD. Eligible trials enrolled participants with biomarker-supported AD and reported global, cognitive, or safety outcomes, including the CDR-SB, ADAS-Cog 13/14, ARIA, and brain volumetric measures. Six RCTs including 7837 participants were analyzed. Mean age ranged from 69.8 to 75.4 years, and 57.4% were APOE ε4 carriers. Anti–β-amyloid therapy was associated with small differences in global and cognitive outcomes, best described as a modest slowing of decline on the CDR-SB and ADAS-Cog scales. Treatment was associated with increased risks of ARIA-E (RR, 9.40; 95% CI, 6.98–12.66) and ARIA-H (RR, 2.40; 95% CI, 2.08–2.78), as well as greater ventricular enlargement and hippocampal atrophy. In early AD, anti–β-amyloid monoclonal antibodies are associated with modest slowing of decline accompanied by increased ARIA risk and unfavorable structural brain changes, limiting clinical applicability. www.crd.york.ac.uk/prospero identifier is CRD420251071393.
DOI: 10.6084/m9.figshare.31320795.v1
title: Efficacy, safety, and ARIA risk of anti–β-amyloid antibodies in early Alzheimer’s disease: a systematic review, meta-analysis, and meta-regression

description: Alzheimer’s disease (AD) is the most prevalent cause of dementia and has been closely linked to βSupplemental data for this article can be accessed online at ht tps://doi.org/-amyloid accumulation. However, the efficacy and safety of anti–β-amyloid monoclonal antibodies remain debated. We systematically searched PubMed, Embase, and Cochrane databases for RCTs comparing anti–β-amyloid monoclonal antibodies with placebo in early-stage AD. Eligible trials enrolled participants with biomarker-supported AD and reported global, cognitive, or safety outcomes, including the CDR-SB, ADAS-Cog 13/14, ARIA, and brain volumetric measures. Six RCTs including 7837 participants were analyzed. Mean age ranged from 69.8 to 75.4 years, and 57.4% were APOE ε4 carriers. Anti–β-amyloid therapy was associated with small differences in global and cognitive outcomes, best described as a modest slowing of decline on the CDR-SB and ADAS-Cog scales. Treatment was associated with increased risks of ARIA-E (RR, 9.40; 95% CI, 6.98–12.66) and ARIA-H (RR, 2.40; 95% CI, 2.08–2.78), as well as greater ventricular enlargement and hippocampal atrophy. In early AD, anti–β-amyloid monoclonal antibodies are associated with modest slowing of decline accompanied by increased ARIA risk and unfavorable structural brain changes, limiting clinical applicability. www.crd.york.ac.uk/prospero identifier is CRD420251071393.
DOI: 10.6084/m9.figshare.31338580
title: TN and TP in Qinghai Province

description: This dataset is the soil total nitrogen and soil total phosphorus densities of 97 soil sampling sites in Qinghai Province.
DOI: 10.6084/m9.figshare.31338580.v1
title: TN and TP in Qinghai Province

description: This dataset is the soil total nitrogen and soil total phosphorus densities of 97 soil sampling sites in Qinghai Province.
DOI: 10.34740/kaggle/dsv/14836592
title: Organ Donation & Transplant Dataset (2023-2024)
DOI: 10.15468/dl.ek9y43
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ramonda nathaliae",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017560-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dcbgt
title: Occurrence Download

description: A dataset containing 1455868110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1880-2020"
 ]
}

 The dataset includes 1455868110 records from 24643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182524-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqq98c
title: Occurrence Download

description: A dataset containing 24386 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosopis juliflora"
 ]
}

 The dataset includes 24386 records from 446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010247-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17497147
title: URP • GHZ/Kontextualität v1.1

description: Dieses Dokument verbindet erstmals experimentell bestätigte Quanten-Kontextualität mit dem Universal-Resonanz-Prinzip (URP).

Basierend auf Liu et al. (Sci.Adv. 2025) zeigt eine 37-dimensionale GHZ-Konfiguration, dass das System bei K = 1.137 \pm 0.012 operiert – exakt im kritischen URP-Resonanzband (0.85 < K < 1.15).

Ordnung (Graph-Zusammenhang) und Chaos (Kontextualität) koppeln sich stabil über R = O(1-C) = 0.234 \pm 0.004 .

URP-Hypothesen H1–H3 werden bestätigt. Das Modell bleibt falsifizierbar und nachrechenbar aus publizierten Messwerten.

Die Ergebnisse legen nahe: Resonanz – nicht Energie – ist die eigentliche konservierte Größe komplexer Systeme.
DOI: 10.5281/zenodo.17497148
title: URP • GHZ/Kontextualität v1.1

description: Dieses Dokument verbindet erstmals experimentell bestätigte Quanten-Kontextualität mit dem Universal-Resonanz-Prinzip (URP).

Basierend auf Liu et al. (Sci.Adv. 2025) zeigt eine 37-dimensionale GHZ-Konfiguration, dass das System bei K = 1.137 \pm 0.012 operiert – exakt im kritischen URP-Resonanzband (0.85 < K < 1.15).

Ordnung (Graph-Zusammenhang) und Chaos (Kontextualität) koppeln sich stabil über R = O(1-C) = 0.234 \pm 0.004 .

URP-Hypothesen H1–H3 werden bestätigt. Das Modell bleibt falsifizierbar und nachrechenbar aus publizierten Messwerten.

Die Ergebnisse legen nahe: Resonanz – nicht Energie – ist die eigentliche konservierte Größe komplexer Systeme.
DOI: 10.5281/zenodo.17488068
title: Spontaneous behavior is a succession of self-directed tasks

description: Data and code from the paper "Spontaneous behavior is a succession of self-directed tasks."

Behavioral data

Files named *-behavior.parquet contain dataframes with processed behavioral data (MoSeq syllabes, shMoSeq states, pose information and other metadata). Supplemental Table 2 from the paper specifies which figure panels each dataset contributed to. Files can be loaded into python using the command pandas.read_parquet. Note that shMoSeq states were filtered and renumbered post-hoc to remove state with extremely low frequency; timepoints assigned to these low-frequency states are treated as missing data. All centroid locations, distances, heights, and 3D keypoint coordinates are in mm. 2D keypoint coordinates and object bounding boxes are in pixel units. "Egocentric angle to wall" is defined as the angle between the mouse's heading and a vector pointing toward the nearest wall location. "Wall direction" is the cosine of this angle.

Neural data

Files named *-neural.parquet contain neural activity for each recording. Each array has shape (n_timepoints, n_neurons). The data have been resampled so that the n'th row of the neural activity array corresponds to the n'th row of the behavior dataframe (after filtering the dataframe by session). For calcium recordings, activity levels correspond to Z-scored dF/F. For ephys data, activity levels correspond to spike counts within 1/120-second intervals (since behavior was recorded at 120 frames/second). In some datasets, neural data is missing from the first and last few seconds of each recording. Arrays have been padded with constant values to cover these missing timepoints.

Code



top-bottom-moseq-shMoSeq-paper.zip contains code from the top-bottom-moseq github repo, which was used for preprocessing depth videos as part of the MoSeq pipeline.

multicam-calibration-0.0.0.zip contains code from the multicam-calibration github repo, which was used for 3D keypoint tracking.

state-moseq-0.0.0.zip contains code from the state-moseq github repo, which was used for estimating behavioral states.
DOI: 10.34740/kaggle/dsv/13571594
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vsuqj8
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.50092 18.93579,-99.5026 18.93094,-99.4967 18.92833,-99.49339 18.92999,-99.49446 18.93557,-99.50092 18.93579))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010250-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/2fwj-3z92
title: Parkes observations for project P960 semester 2025OCTS_04

description: We aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes.
DOI: 10.25919/d1nm-hp40
title: Parkes observations for project P595 semester 2025OCTS_09

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25919/d6e9-by63
title: Parkes observations for project PX600 semester 2020APRS_138

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.15468/dl.kp8fvf
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Condea verticillata"
 ]
}

 The dataset includes 465 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010251-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4cajm
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ducetia japonica"
 ]
}

 The dataset includes 2252 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010252-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.