cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive108597.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100378.10fu
title: SH0100378.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive108598.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100379.10fu
title: SH0100379.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive108598.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108599.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108599.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108600.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.uhtfqu
title: Occurrence Download

description: A dataset containing 6166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemmus lemmus (Linnaeus, 1758)",
 "Year 1950-2024"
 ]
}

 The dataset includes 6166 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012829-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/nup4-f2y9
title: Measurement of Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48597/3xkj-mgjb
title: Measurement of Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48597/dhg9-zaay
title: Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48597/herk-9tzj
title: Measurement of Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48597/jhms-u92a
title: Measurement of Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48597/h96v-sahu
title: Measurement of Aerosol light scattering at Mauna Loa

description: Measurement of Aerosol light scattering at Mauna Loa
DOI: 10.48323/4j647-6k650
title: MS_XevoTQXS_2024_August

description: TKI02AZTKI04BD
DOI: 10.48323/kzv27-n7003
title: MS_XevoTQXS_2024_August

description: TKI02AZTKI04BD
DOI: 10.6084/m9.figshare.28714217
title: Dynamic mechanisms of neutral amino acid exchanger ASCT2 transporting substrate glutamine

description: This study focuses on the molecular mechanism by which the neutral amino acid transporter protein ASCT2 mediates glutamine (Gln) transport and its dual role in cancer and metabolism. The dynamic gating mechanism of the helical hairpin structure HP2 in ASCT2 was revealed by microsecond classical molecular dynamics (CMD) and Gaussian accelerated molecular dynamics (GaMD) simulations combined with Markov state modelling (MSM). It was found that the C467R mutation destabilises the HP2 conformation and impairs the efficiency of Gln binding and transport, while the prolonged opening time of HP2 in the substrate-bound state suggests that dietary Gln may affect the transport function by stabilising the conformation.MSM analyses further identified the transition of HP2 from ‘closed’ to ‘open’. MSM analysis further identified the key pathway of HP2 from ‘closed’ to ‘open’ (S2→S15→S10→S6→S5→S7→S19, 16.76% probability). These results not only provide a theoretical basis for the development of ASCT2-targeted anticancer drugs, but also open up new ideas for the design of functional foods based on the regulation of amino acid metabolism by natural compounds.
DOI: 10.6084/m9.figshare.28714217.v1
title: Dynamic mechanisms of neutral amino acid exchanger ASCT2 transporting substrate glutamine

description: This study focuses on the molecular mechanism by which the neutral amino acid transporter protein ASCT2 mediates glutamine (Gln) transport and its dual role in cancer and metabolism. The dynamic gating mechanism of the helical hairpin structure HP2 in ASCT2 was revealed by microsecond classical molecular dynamics (CMD) and Gaussian accelerated molecular dynamics (GaMD) simulations combined with Markov state modelling (MSM). It was found that the C467R mutation destabilises the HP2 conformation and impairs the efficiency of Gln binding and transport, while the prolonged opening time of HP2 in the substrate-bound state suggests that dietary Gln may affect the transport function by stabilising the conformation.MSM analyses further identified the transition of HP2 from ‘closed’ to ‘open’. MSM analysis further identified the key pathway of HP2 from ‘closed’ to ‘open’ (S2→S15→S10→S6→S5→S7→S19, 16.76% probability). These results not only provide a theoretical basis for the development of ASCT2-targeted anticancer drugs, but also open up new ideas for the design of functional foods based on the regulation of amino acid metabolism by natural compounds.
DOI: 10.5281/zenodo.15110692
title: A Global 5-km Multi-Temporal Mean Land and Sea Surface Temperature Dataset (2001–2024)

description: Land Surface Temperature (LST) and Sea Surface Temperature (SST) are key variables in Earth system processes, playing crucial roles in ecological, environmental, and climate-related studies. Compared to instantaneous temperature observations, mean temperature values can smooth short-term fluctuations and offer a more stable and representative measure of surface thermal dynamics. To support global-scale analyses, this dataset provides daily, monthly, and annual mean LST and SST at a spatial resolution of 5 km.

The dataset is derived from the instantaneous MODIS LST products (i.e., MOD11C1 and MYD11C1) and SST products (i.e., MODIS-Terra and MODIS-Aqua SST Level-3 Binned). Daily mean LST/SST is calculated using the multi-temporal weighted averaging method proposed by Xing et al. (2021, https://doi.org/10.1016/j.isprsjprs.2021.05.017). Monthly means are further generated using the approach developed by Liu et al. (2023, https://doi.org/10.1109/TGRS.2023.3247428), which incorporates clear-sky fraction adjustments, multi-temporal weighting, and a hybrid aggregation strategy to ensure both accuracy and spatial completeness. Annual means are subsequently derived from the monthly averages. 

This dataset supports global studies on surface energy balance, climate change, and land–ocean interactions, offering valuable input for climate modeling, environmental monitoring, and ecosystem assessment.

For users requiring finer spatial detail, a 1-km version of the dataset is also available (https://zenodo.org/records/6618442#.YqB1UoRByUl).
DOI: 10.5281/zenodo.15110693
title: A Global 5-km Multi-Temporal Mean Land and Sea Surface Temperature Dataset (2001–2024)

description: Land Surface Temperature (LST) and Sea Surface Temperature (SST) are key variables in Earth system processes, playing crucial roles in ecological, environmental, and climate-related studies. Compared to instantaneous temperature observations, mean temperature values can smooth short-term fluctuations and offer a more stable and representative measure of surface thermal dynamics. To support global-scale analyses, this dataset provides daily, monthly, and annual mean LST and SST at a spatial resolution of 5 km.

The dataset is derived from the instantaneous MODIS LST products (i.e., MOD11C1 and MYD11C1) and SST products (i.e., MODIS-Terra and MODIS-Aqua SST Level-3 Binned). Daily mean LST/SST is calculated using the multi-temporal weighted averaging method proposed by Xing et al. (2021, https://doi.org/10.1016/j.isprsjprs.2021.05.017). Monthly means are further generated using the approach developed by Liu et al. (2023, https://doi.org/10.1109/TGRS.2023.3247428), which incorporates clear-sky fraction adjustments, multi-temporal weighting, and a hybrid aggregation strategy to ensure both accuracy and spatial completeness. Annual means are subsequently derived from the monthly averages. 

This dataset supports global studies on surface energy balance, climate change, and land–ocean interactions, offering valuable input for climate modeling, environmental monitoring, and ecosystem assessment.

For users requiring finer spatial detail, a 1-km version of the dataset is also available (https://zenodo.org/records/6618442#.YqB1UoRByUl).
DOI: 10.6084/m9.figshare.28714382
title: Gameplay databases

description: sqlite databases of the gameplay from two cohorts of measurement
DOI: 10.5281/zenodo.7681316
title: Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)

description: Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab movement acquisition setting. The objective of the VIDIMU dataset is to pave the way towards affordable patient tracking solutions for remote daily life activities recognition and kinematic analysis. 

The VIDIMU dataset includes 54 healthy young adults that were recorded on video and 16 of them were simultaneously recorded using custom IMUs.  For each subject, 13 activities were registered using a low-resolution video camera and five Inertial Measurement Units (IMUs). Inertial sensors were placed in the lower or the upper limbs of the subject, respectively for activities that involve movement with the lower or the upper body. Video recordings were postprocessed using the state-of-the-art pose estimator BodyTrack (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each movement. Raw IMU recordings were post-processed to compute joint angles by inverse kinematics with OpenSim. For recordings including simultaneous acquisition of video and IMU data types, these signals were used for data file synchronization. Collected data can be further used in applications related to human activity recognition and biomechanics related experiments in simulated home-like settings.

 

 
description: Fixed typo file names in v2.0.0: 'S41_A03_P01*' files were renamed to 'S41_A03_T01*'.
DOI: 10.5281/zenodo.7681317
title: VIDIMU. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices

description: Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab movement acquisition setting. The objective of the VIDIMU dataset is to pave the way towards affordable patient tracking solutions for remote daily life activities recognition and kinematic analysis. The VIDIMU dataset includes 54 healthy young adults that were recorded on video and 16 of them were simultaneously recorded using custom IMUs. For each subject, 13 activities were registered using a low-resolution video camera and five Inertial Measurement Units (IMUs). Inertial sensors were placed in the lower or the upper limbs of the subject, respectively for activities that involve movement with the lower or the upper body. Video recordings were postprocessed using the state-of-the-art pose estimator <em>BodyTrack</em> (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each movement. Raw IMU recordings were post-processed to compute joint angles by inverse kinematics with <em>OpenSim</em>. For recordings including simultaneous acquisition of video and IMU data types, these signals were used for data file synchronization. Collected data can be further used in applications related to human activity recognition and biomechanics related experiments in simulated home-like settings.
DOI: 10.5281/zenodo.8210563
title: Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)

description: Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab movement acquisition setting. The objective of the VIDIMU dataset is to pave the way towards affordable patient tracking solutions for remote daily life activities recognition and kinematic analysis. 


The VIDIMU dataset includes 54 healthy young adults that were recorded on video and 16 of them were simultaneously recorded using custom IMUs.  For each subject, 13 activities were registered using a low-resolution video camera and five Inertial Measurement Units (IMUs). Inertial sensors were placed in the lower or the upper limbs of the subject, respectively for activities that involve movement with the lower or the upper body. Video recordings were postprocessed using the state-of-the-art pose estimator BodyTrack (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each movement. Raw IMU recordings were post-processed to compute joint angles by inverse kinematics with OpenSim. For recordings including simultaneous acquisition of video and IMU data types, these signals were used for data file synchronization. Collected data can be further used in applications related to human activity recognition and biomechanics related experiments in simulated home-like settings.
DOI: 10.5281/zenodo.15120078
title: Chlorophyll a, Total Suspended Matter and Secchi Depth - DOORS 3 cruise, June 2024

description: The  datasest contains Chlorophyll a, Total Suspended Matter and Secchi depth data collected during  R/V Mare Nigrum cruise #3 , from 27 stations,  located in the Romanian, Bulgarian and Georgian Black Sea waters, 1-20 June, 2024 in the framework H2020 DOORS Project.  Subsurface water samples (at approximately 1 m depth) were collected at each station using  a sample bottle. These  water samples were conditioned for successive laboratory analysis of:



        Chlorophyll a  concentrations determined spectrophotometrically according to Jeffrey and Humphrey, 1975

         Total Suspended Matter  through dry-weighting  according to J. Strickland and T. Parsons, 1972
DOI: 10.57745/kxtqvn
title: Indexes_Breathing.zip

description: :unav
DOI: 10.57745/v4uwjj
title: 0_README.md

description: :unav
DOI: 10.57745/yidkli
title: Indexes_Valsalva.zip

description: :unav
DOI: 10.57745/ymzwld
title: Indexes_Coughing.zip

description: :unav
DOI: 10.48323/0w209-aem38
title: MS_XevoTQXS_2024_December

description: MHO03CF - CSHRLI01AFTKI02AW
DOI: 10.48323/pyqjf-h1z94
title: MS_XevoTQXS_2024_December

description: MHO03CF - CSHRLI01AFTKI02AW
DOI: 10.17189/1519202
title: InSight IFG Magnetometer Mars Calibrated Data Collection
DOI: 10.5066/p14hcxkj
title: Chemical and biological data from a study on evaluation of the sensitivity of the juvenile life stage of a federally endangered freshwater mussel (Venustaconcha trabalis) to ammonia, potassium, chloride, nitrite, cobalt, manganese, nickel, and iron
DOI: 10.6084/m9.figshare.26381212
title: Supplementary data for "Flow laws for ice constrained by seventy years of laboratory experiments"

description: This repository includes:

(1) R codes used for Bayesian statistical modelling (Supplement_code1.zip).

(2) Raw outputs from the Bayesian modelling (Supplement_data1.zip).

(3) Digitised data from published experiments and temperature measurements as a function of depth for the NEEM ice core (Supplement_data2.zip).

(4) Supplementary Tables 1–5 (Supplement_tables.xlsx).

(5) Source data for Figs. 2 and 3 (Source_data_Fig2.xlsx, Source_data_Fig3.xlsx) and Extended Data Figs. 1–8 (Source_data_Extended_data_Figx.xlsx).
DOI: 10.1594/pangaea.838059
title: (Fig. 21) Orientation-tensor eigenvalues along the NEEM ice core
DOI: 10.1594/pangaea.897280
title: Physical oceanography during POLARSTERN cruise PS111 (ANT-XXXIII/2)
DOI: 10.18128/d050.v12.0
title: National Historical Geographic Information System: Version 12.0

description: The National Historical Geographic Information System (NHGIS) provides free online access to summary statistics and GIS boundary files for U.S. censuses and other nationwide surveys from 1790 through the present. Boundary files include: counties and states since 1790, census tracts since 1910, metropolitan areas since 1950, places and county subdivisions since 1980, all standard census reporting areas since 1990, and SABINS school attendance areas for 2009-12. Summary tables from decennial censuses and the American Community Survey include county and state tables since 1790; census tract tables since 1910; and tables for all original census summary levels, down to census blocks, since 1970. Highlights of additional summary tables include County Business Patterns data (annual, 1970-2002), agricultural census data (1840-1950), religious bodies data (1850-1952), manufacturing census data (1840-1940), and 2010 census data for SABINS school attendance areas. NHGIS also includes time series tables that provide comparable statistics from multiple censuses linked together with standardized categories and codes for all years. NHGIS data are available through an online access system and are available free of charge to registered users at http://nhgis.org.
DOI: 10.25430/researchdata.cab.unipd.it.00001350
title: The burden of Cushing's Disease cardiometabolic comorbidities: comparison between surgical remission and long-term eucortisolism with medical treatment

description: Background and aim: Cushing’s disease (CD) is associated with phenotypic traits and comorbidities that may persist after the normalization of cortisol levels. Medical therapy is used in recurrent or persistent CD after neuro-surgery (TSS). We aimed to investigate the impact of long-term normalization of hypercortisolism (achieved with surgical remission or medical treatment) on clinical picture and cardiometabolic comorbidities.
Methods: Monocentric retrospective study, 2- and 5-years observation. Sixty CD patients, with sustained normal 24-h urinary free cortisol (UFC) levels; 36 in remission after successful TSS (REM) and 24 in long-term medical therapy (LTMT). 
Results: Persistence of moon face, dorsocervical fat pad and bruisability is more marked in LTMT than in -REM (p&lt;0.05) at 5 years, but most CD phenotypic traits persist in both groups, especially in those with increased late night salivary cortisol (LNSC). Hypertension in the REM group recovers more than in LTMT at 5 years (-31% vs -5%, p&lt;0.04). Overall, hypertensive patients have impaired salivary cortisol rhythm. At 2 years, diabetes is less prevalent in REM than in LTMT (2/36 vs 9/24; p=0.002) with lower need of glucose-lowering drugs. Overall, diabetic patients have higher salivary cortisol levels (p&lt;0.001). Dyslipidemia is more prevalent in LTMT (p=0.01), but with scarce improvement in both groups (-22% REM, - 6% LTMT). 
Conclusions: Surgical remission brings faster improvements in clinical phenotype. However, obesity, arterial hypertension, dyslipidemia, and hypercoagulability do not completely revert in 5 years, especially in LTMT group. Most comorbidities persist despite UFC normalization, probably due to impaired LNSC.
DOI: 10.25949/24769434.v1
title: Australian Radio Talkback Corpus (ART)

description: Australian Radio Talkback (ART) is a set of transcribed recordings of samples of national, regional and commercial Australian talkback radio from 2004 to 2006. It consists of transcriptions of 27 audio recordings of talkback from ABC National Radio (NAT), ABC Radio broadcasts to eastern Australian (ABCE), ABC Radio broadcasts to southern and western Australia (ABCNE), as well as commercial stations broadcasting to eastern Australia (COME) and southern and western Australia (COMNE).
DOI: 10.34740/kaggle/ds/6248246
title: Mycobacterial CT Imaging Dataset
DOI: 10.34740/kaggle/dsv/10818141
title: Mycobacterial CT Imaging Dataset
DOI: 10.3886/e223881v1
title: Replication Files for "Why Do Right to Carry Laws Increase Violence? Effects on Gun Theft and Clearance Rates"

description: Abstract: Since the 1970s most state restrictions on carrying handguns in public have been eased or eliminated. Several of the early impact evaluations of these changes tended to support the belief that laws that facilitated gun carrying by private citizens deterred violent crime (while possibly increasing property crime). But more recent studies of the impacts of right to carry (RTC) laws conclude that the net effect is to increase state-level violent-crime rates relative to more restrictive regimes. This finding implies that the deterrence mechanism is swamped by other mechanisms, but there has been little evidence on which ones are important in practice. Using a novel data set of 217 large cities over 41 years, we confirm that violent crime increases following RTC adoption. We then document two mechanisms that may account for this result, finding a 50 percent increase in gun theft and a 9-18 percent reduction in violent crime clearance rates. Further analysis of city-level heterogeneity in RTC-induced effects is consistent with the hypothesis that gun theft is a likely cause of the RTC-induced increase in violent crime and more tentative evidence points to clearance as a potential driver.