cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17472828
title: CHM_Tmean: A New High-Resolution Mean Temperature Dataset for Mainland China

description: 1.  Dataset information

Dataset name: CHM_Tmean

Summary: CHM_Tmean, an innovative and comprehensive long-term daily Mean temperature (Tmean) dataset with a spatial resolution of 0.1° and data collected from 1961 to 2024 in mainland China. 

Content of the data set:

(1)  Metadata for CHM_Tmean.docx: This document provides detailed information about the dataset.

(2)  CHM_Tmean_01_daily_1961_2024.zip: Compressed file containing gridded daily mean temperature (Tmean) fields at 0.1° spatial resolution for the period 1961–2024 (NetCDF format; “01” = 0.1°, “daily” = interpolated daily data, “1961_2024” = years).

To facilitate downloading, we have split the data into nc data every ten years.

CHM_Tmean_1961_1969.nc 

CHM_Tmean_1970_1979.nc

CHM_Tmean_1980_1989.nc

CHM_Tmean_1990_1999.nc

CHM_Tmean_2000_2009.nc

CHM_Tmean_2010_2019.nc

CHM_Tmean_2020_2024.nc

2.  Brief calculation introduction:

The dataset utilizes high-density meteorological station data and follows a structured framework based on the China Hydro-Meteorology dataset (CHM; https://zenodo.org/communities/chm/records?q=&l=list&p=1&s=10). To ensure data integrity, rigorous quality control was applied and missing values were removed to facilitate reliable interpolation.

Key meteorological variables—Tmax, Tmin, Tmean—were interpolated to a 0.1° spatial resolution using angular distance weighting (ADW). This method incorporates both angular and distance weighting, improving robustness against outliers. We interpolated the basic meteorological variables (Tmax, Tmin, Tmean; see Fig. 1), and in the interpolation process adopted ADW interpolation, which considers angle weight in addition to the distance weight function, making it more robust to outliers. We interpolated meteorological elements to 0.1° spatial resolution, which is consistent with CHM_Drought (https://zenodo.org/records/14634774) and CHM_PRE (https://zenodo.org/records/15735374). The ADW approach employed a modified Shepard’s algorithm, which integrates the correlation decay distance (CDD). CDD defines the distance at which inter-station correlation falls below 1/e, roughly equivalent to a 0.05 significance level in large samples (Tmax≈272, Tmeans≈99, Tmins≈136). Using CDD to constrain the number of stations per grid cell enhances interpolation accuracy.

3.  Data advantage characteristics:

In addition, compared with other datasets, the three temperature data (Tmax, Tmin, Tmean) in this dataset all take into account the influence of altitude. For every 100 meters increase in altitude, the temperature drops by approximately 0.6 degrees Celsius. 


4.  Details of the variables in the file

Each NetCDF file contains the following four variables:

(1) lat: Latitude dimension, measured in degrees (°).

(2) lon: Longitude dimension, measured in degrees (°).

(3) time: Time dimension, measured in days since January 1, 1961.

(4) Tmean: Daily mean temperature (time, lat, lon).

5.  Authors and contacts

Qi Zhang (qizhang@qhnu.edu.cn)

Chiyuan Miao (miaocy@bnu.edu.cn)

Jinlong Hu (Hujl98@mail.bnu.edu.cn)
DOI: 10.5281/zenodo.17472829
title: CHM_Tmean: A New High-Resolution Mean Temperature Dataset for Mainland China

description: 1.  Dataset information

Dataset name: CHM_Tmean

Summary: CHM_Tmean, an innovative and comprehensive long-term daily Mean temperature (Tmean) dataset with a spatial resolution of 0.1° and data collected from 1961 to 2024 in mainland China. 

Content of the data set:

(1)  Metadata for CHM_Tmean.docx: This document provides detailed information about the dataset.

(2)  CHM_Tmean_01_daily_1961_2024.zip: Compressed file containing gridded daily mean temperature (Tmean) fields at 0.1° spatial resolution for the period 1961–2024 (NetCDF format; “01” = 0.1°, “daily” = interpolated daily data, “1961_2024” = years).

To facilitate downloading, we have split the data into nc data every ten years.

CHM_Tmean_1961_1969.nc 

CHM_Tmean_1970_1979.nc

CHM_Tmean_1980_1989.nc

CHM_Tmean_1990_1999.nc

CHM_Tmean_2000_2009.nc

CHM_Tmean_2010_2019.nc

CHM_Tmean_2020_2024.nc

2.  Brief calculation introduction:

The dataset utilizes high-density meteorological station data and follows a structured framework based on the China Hydro-Meteorology dataset (CHM; https://zenodo.org/communities/chm/records?q=&l=list&p=1&s=10). To ensure data integrity, rigorous quality control was applied and missing values were removed to facilitate reliable interpolation.

Key meteorological variables—Tmax, Tmin, Tmean—were interpolated to a 0.1° spatial resolution using angular distance weighting (ADW). This method incorporates both angular and distance weighting, improving robustness against outliers. We interpolated the basic meteorological variables (Tmax, Tmin, Tmean; see Fig. 1), and in the interpolation process adopted ADW interpolation, which considers angle weight in addition to the distance weight function, making it more robust to outliers. We interpolated meteorological elements to 0.1° spatial resolution, which is consistent with CHM_Drought (https://zenodo.org/records/14634774) and CHM_PRE (https://zenodo.org/records/15735374). The ADW approach employed a modified Shepard’s algorithm, which integrates the correlation decay distance (CDD). CDD defines the distance at which inter-station correlation falls below 1/e, roughly equivalent to a 0.05 significance level in large samples (Tmax≈272, Tmeans≈99, Tmins≈136). Using CDD to constrain the number of stations per grid cell enhances interpolation accuracy.

3.  Data advantage characteristics:

In addition, compared with other datasets, the three temperature data (Tmax, Tmin, Tmean) in this dataset all take into account the influence of altitude. For every 100 meters increase in altitude, the temperature drops by approximately 0.6 degrees Celsius. 


4.  Details of the variables in the file

Each NetCDF file contains the following four variables:

(1) lat: Latitude dimension, measured in degrees (°).

(2) lon: Longitude dimension, measured in degrees (°).

(3) time: Time dimension, measured in days since January 1, 1961.

(4) Tmean: Daily mean temperature (time, lat, lon).

5.  Authors and contacts

Qi Zhang (qizhang@qhnu.edu.cn)

Chiyuan Miao (miaocy@bnu.edu.cn)

Jinlong Hu (Hujl98@mail.bnu.edu.cn)
DOI: 10.15468/dl.bjkc8r
title: Occurrence Download

description: A dataset containing 1381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (FloraCAT: Banco de datos de los cormófitos de Cataluña, CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Sistema de Información de la vegetación Ibérica y Macaronésica, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB)",
 "Geometry POLYGON((-8.14292 41.4481,-7.90089 38.101,-8.53016 35.85854,-2.81836 35.89776,0.18276 37.5274,0.5216 38.97183,1.29608 40.2028,3.66793 41.33916,3.86155 42.70553,-2.18909 43.69351,-3.98008 44.1815,-7.85249 44.3548,-9.69188 43.3425,-9.30464 41.55685,-8.14292 41.4481))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus"
 ]
}

 The dataset includes 1381 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011598-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1133077
title: Digital Archive from an Archaeological Evaluation at AGM House, 83a London Road, Copford, Essex, November 2021

description: This collection consists of images, site record data, a report and a vector graphic from an archaeological evaluation (eight trial-trenches) by Colchester Archaeological Trust. Work occurred at AGM House, 83a London Road, Copford, Essex, in November 2021. Only two features were uncovered during this evaluation, a pit/ditch terminus and a ditch, both of which proved to be undated.
DOI: 10.5281/zenodo.17734489
title: Elderly Fall Detection and Prayer Movement Dataset: AybuFall

description: This is the data set for paper: Elderly Fall Detection and Prayer Movement Dataset: AybuFall planned to publish in Journal of the BMC Research Notes.

 We present a publicly available dataset comprising falls, activities of daily living (ADLs), and prayer movements collected by transferring data from wearable sensors to a smartphone. Before data collection, necessary information was gathered from 17 volunteers aged 23 to 43. The dataset includes 11 types of falls, 13 activities of daily living, and 5 prayer movements. Each participant was equipped with two sensors, one on the right arm and the other on the forehead, to accurately capture the necessary data.
DOI: 10.6084/m9.figshare.30731840
title: Gene Expression Fold Change

description: Direct Regeneration Gene Involvement.
DOI: 10.6084/m9.figshare.30731840.v1
title: Gene Expression Fold Change

description: Direct Regeneration Gene Involvement.
DOI: 10.15468/dl.bpdxsw
title: Occurrence Download

description: A dataset containing 123999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((104.01 32.35,106.35 32.35,106.35 34.32,104.01 34.32,104.01 32.35))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 123999 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011515-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2520355-1
title: How do lipopeptides interact with the model fungal membrane?

description: Candida albicans is the predominant cause of both mucosal and systemic fungal infections, accounting for approximately 70% of cases worldwide. To combat such infections, several classes of antifungal drugs have been developed, including amphotericin B (AmpB), triazoles, and echinocandins. These agents act through distinct mechanisms - binding to ergosterol, inhibiting ergosterol biosynthesis, or inactivating glucan synthase. However, the emergence of drug resistance, mediated by reduction in membrane uptake, target site modifications, and overexpression of drug targets, has significantly diminished the efficacy of conventional therapies. To address this dilemma, for instance, the antimicrobial peptide (AMP) GIK shows good antimicrobial properties in treating drug-resistant fungi compared to conventional drugs. Lipopeptide, with a shorter amino acid sequence and comparable properties, such as rapid antifungal actions and broad-spectrum activities, is a more promising candidate antifungal drug to be utilised clinically. To unravel how designed lipopeptides bind with model fungal membrane, neutron reflection experiment is proposed, adding structural details to the characterizations undertaken by CD, Zeta-potential and QCM-D measurements. The NR results will teach us how to further improve antifungal lipopeptides.
DOI: 10.5286/isis.e.rb2520355
title: How do lipopeptides interact with the model fungal membrane?

description: Candida albicans is the predominant cause of both mucosal and systemic fungal infections, accounting for approximately 70% of cases worldwide. To combat such infections, several classes of antifungal drugs have been developed, including amphotericin B (AmpB), triazoles, and echinocandins. These agents act through distinct mechanisms - binding to ergosterol, inhibiting ergosterol biosynthesis, or inactivating glucan synthase. However, the emergence of drug resistance, mediated by reduction in membrane uptake, target site modifications, and overexpression of drug targets, has significantly diminished the efficacy of conventional therapies. To address this dilemma, for instance, the antimicrobial peptide (AMP) GIK shows good antimicrobial properties in treating drug-resistant fungi compared to conventional drugs. Lipopeptide, with a shorter amino acid sequence and comparable properties, such as rapid antifungal actions and broad-spectrum activities, is a more promising candidate antifungal drug to be utilised clinically. To unravel how designed lipopeptides bind with model fungal membrane, neutron reflection experiment is proposed, adding structural details to the characterizations undertaken by CD, Zeta-potential and QCM-D measurements. The NR results will teach us how to further improve antifungal lipopeptides.
DOI: 10.5286/isis.e.rb2520030-1
title: Possible chiral quantum spin liquid ground state in a hypertrillium lattice antiferromagnet (NH4)(H3O)Ti2 (PO4)3

description: Quantum materials, where frustration, band topology, and spin correlations converge, host a
panoply of exotic quantum states such as quantum spin liquids (QSLs), spin ices, and
fractional quantum Hall liquids. Systems with strong magnetic frustration are especially
promising candidates for realizing the elusive QSL state, characterized by fractionalized
excitations and the lack of magnetic long-range order (LRO) at T = 0 K. While significant
progress has been made in identifying QSL candidates in 2D kagome and triangular
antiferromagnets, their experimental realization in 3D frustrated magnets remains rare. The
type of QSLs relies on spin-lattice symmetry. One salient possibility is the chiral spin liquid
(CSL), which, despite lacking LRO, breaks both time-reversal and parity symmetries. Here,
we focus on a new chiral network of S= 1/2 tetra-trillium lattice of Ti3+ ions. Neither magnetic
susceptibility nor specific-heat data show any signature of magnetic ordering down to 1.9 K
despite a large Curie-Weiss temperature of - 23 K. We propose a muSR study much below
the sub-Kelvin temperatures to unambiguously confirm the chiral QSL state and identify the
associated magnetic excitations in this new three-dimensional frustrated magnet in the
quantum limit.
DOI: 10.5286/isis.e.rb2520030
title: Possible chiral quantum spin liquid ground state in a hypertrillium lattice antiferromagnet (NH4)(H3O)Ti2 (PO4)3

description: Quantum materials, where frustration, band topology, and spin correlations converge, host a
panoply of exotic quantum states such as quantum spin liquids (QSLs), spin ices, and
fractional quantum Hall liquids. Systems with strong magnetic frustration are especially
promising candidates for realizing the elusive QSL state, characterized by fractionalized
excitations and the lack of magnetic long-range order (LRO) at T = 0 K. While significant
progress has been made in identifying QSL candidates in 2D kagome and triangular
antiferromagnets, their experimental realization in 3D frustrated magnets remains rare. The
type of QSLs relies on spin-lattice symmetry. One salient possibility is the chiral spin liquid
(CSL), which, despite lacking LRO, breaks both time-reversal and parity symmetries. Here,
we focus on a new chiral network of S= 1/2 tetra-trillium lattice of Ti3+ ions. Neither magnetic
susceptibility nor specific-heat data show any signature of magnetic ordering down to 1.9 K
despite a large Curie-Weiss temperature of - 23 K. We propose a muSR study much below
the sub-Kelvin temperatures to unambiguously confirm the chiral QSL state and identify the
associated magnetic excitations in this new three-dimensional frustrated magnet in the
quantum limit.
DOI: 10.5286/isis.e.rb2500003-4
title: PROBING THE EFFECTS OF FIRE ON EGYPTIAN MUMMIES BY NEUTRON ACTIVATION ANALYSIS ON INES

description: This is a pioneer neutron study on burned mummified human bones – mummies of the Egyptian Collection of the Brazilian National Museum, damaged by fire in 2018. Neutron resonance capture and neutron activation analysis in INES will be applied, to analyse four different mummies. These include a particularly interesting Roman mummy, due to its unique mummification process (1 in 7 worldwide). This experiment is expected to deliver an accurate elemental composition of the samples for distinct burning conditions and to determine the impact of the mummification process on the heat-induced effects in bone. Understanding how fire affected these mummified bones, relying on the team´s extensive expertise in studies of these types of samples by vibrational spectroscopy, is crucial for the preservation of the Museum´s collection.
DOI: 10.15468/dl.8b3a5g
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, VIT Herbarium - Vascular Plants (The Natural History Museum of Alava), DIBA-Parc Natural del Montseny, Col·lecció de plantes de l'herbari de la Universitat de Barcelona)",
 "Geometry POLYGON((-2.1954 43.72228,-6.41612 45.08128,-8.73455 44.2356,-10.16128 42.6386,-10.75575 39.59407,-10.22072 37.07652,-8.97234 35.92972,-6.35668 35.83339,-2.96821 35.97784,0.95529 36.74379,3.86818 38.20623,5.4138 40.36843,3.98708 42.1557,3.15482 42.726,1.13363 42.726,-2.1954 43.72228))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus"
 ]
}

 The dataset includes 368 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011602-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r2q8p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Italy"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011603-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17734622
title: Gauge and Scalar Bosons as Collective Modes of the Primordial Mass-Torsional Condensate: A Topological Derivation in G-MaTT — and Why Supersymmetry Cannot Exist

description: Abstract

We derive all known bosons—photon, $W^\pm$, $Z^0$, gluons, Higgs, and graviton—from the synchronized branch condensate of the primordial mass-time torsional potential $\mathcal{M}_\mu$ in Generalized Mass as Twisted Time (G-MaTT). While fermions arise as stable topological knots in the emergent field $\hat{M}_\mu$, bosons emerge as collective excitations:  

Gauge bosons = Goldstone modes of broken branch-phase symmetry ($U(1)\times SU(2)\times SU(3)$),  Higgs boson = amplitude (Higgs) mode of the synchronization order parameter $\langle \Phi \rangle = v(t) \bigoplus_{k\in\mathcal{S}} e^{i\phi_k}$,  Graviton = torsion-wave in the entanglement metric $g_{\mu\nu} \propto \langle \hat{M}_\mu \hat{M}_\nu \rangle - \langle \hat{M}_\mu \rangle \langle \hat{M}_\nu \rangle$.  

Crucially, no supersymmetric partners can exist in G-MaTT—because:  

1. Spacetime dissolves beyond $\Omega_0 = c^5/\hbar G$ (The Geometric Boundary…, Sec. 4);  2. The SUSY algebra $\{Q, \bar{Q}\} \sim \gamma^\mu P_\mu$ requires a smooth Poincaré manifold at all scales—which does not exist in G-MaTT;  3. Fermions and bosons are topologically distinct phases (knots vs. phonons), not superpartners of a common superfield.  

This framework predicts:  Exactly one photon, three weak bosons, eight gluons, one Higgs—no generations, no $Z'$,  Higgs self-coupling $\lambda = 0.130 \pm 0.005$ (from TUT criticality),  Graviton coupling $\kappa_g = \sqrt{32\pi G}$ derived, not postulated.  

G-MaTT resolves the boson sector not by extension, but by geometric necessity — without extra fields, dimensions, or symmetries.
DOI: 10.5281/zenodo.17734623
title: Gauge and Scalar Bosons as Collective Modes of the Primordial Mass-Torsional Condensate: A Topological Derivation in G-MaTT — and Why Supersymmetry Cannot Exist

description: Abstract

We derive all known bosons—photon, $W^\pm$, $Z^0$, gluons, Higgs, and graviton—from the synchronized branch condensate of the primordial mass-time torsional potential $\mathcal{M}_\mu$ in Generalized Mass as Twisted Time (G-MaTT). While fermions arise as stable topological knots in the emergent field $\hat{M}_\mu$, bosons emerge as collective excitations:  

Gauge bosons = Goldstone modes of broken branch-phase symmetry ($U(1)\times SU(2)\times SU(3)$),  Higgs boson = amplitude (Higgs) mode of the synchronization order parameter $\langle \Phi \rangle = v(t) \bigoplus_{k\in\mathcal{S}} e^{i\phi_k}$,  Graviton = torsion-wave in the entanglement metric $g_{\mu\nu} \propto \langle \hat{M}_\mu \hat{M}_\nu \rangle - \langle \hat{M}_\mu \rangle \langle \hat{M}_\nu \rangle$.  

Crucially, no supersymmetric partners can exist in G-MaTT—because:  

1. Spacetime dissolves beyond $\Omega_0 = c^5/\hbar G$ (The Geometric Boundary…, Sec. 4);  2. The SUSY algebra $\{Q, \bar{Q}\} \sim \gamma^\mu P_\mu$ requires a smooth Poincaré manifold at all scales—which does not exist in G-MaTT;  3. Fermions and bosons are topologically distinct phases (knots vs. phonons), not superpartners of a common superfield.  

This framework predicts:  Exactly one photon, three weak bosons, eight gluons, one Higgs—no generations, no $Z'$,  Higgs self-coupling $\lambda = 0.130 \pm 0.005$ (from TUT criticality),  Graviton coupling $\kappa_g = \sqrt{32\pi G}$ derived, not postulated.  

G-MaTT resolves the boson sector not by extension, but by geometric necessity — without extra fields, dimensions, or symmetries.
DOI: 10.57745/qdif4x
title: I_10_10_C_3_3.txt

description: :unav
DOI: 10.57745/zlisc6
title: I_10_10_C_5_2.txt

description: :unav