cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.73eu7t
title: Occurrence Download

description: A dataset containing 863736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araneae",
 "Year is one of (1999, 2000, 2001, 2005, 2006, 2007, 2011, 2012, 2013, 2017, 2018, 2019)",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 863736 records from 1380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003240-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29242844
title: <b>Effects of Disturbance Regimes, Soil Depth, and Seasonal Variation on Soil Properties and Microbial Biomass in a Tropical Dry Forest of Central India</b>

description: Tropical forests play a critical role in supporting biodiversity, sequestering carbon, and providing vital ecosystem services. However, these ecosystems are increasingly threatened by human disturbances, leading to soil degradation and compromised ecosystem functions. This study investigates the effects of disturbance intensity, soil depth, and seasonal variation on soil physicochemical and microbial properties in a dry tropical forest. Soil samples were collected from permanent plots across three depths (0–15 cm, 15–30 cm, and 30–45 cm) during rainy, winter, and summer seasons at sites representing low, moderate, and high disturbance levels. Soils were consistently acidic (pH 4.55–6.29) and exhibited sandy loam to loamy textures, with the highest sand content recorded at the highly disturbed site. Bulk density peaked during the rainy season in the least disturbed forest, while lower values were recorded during the dry seasons. Organic carbon content was lowest at the highly disturbed site (0.46%) and highest under moderate disturbance (0.70%). Available nitrogen, phosphorus, and potassium ranged from 43.34 to 241.60, 4.18 to 25.29, and 119.37 to 291.83 kg ha⁻¹, respectively, reflecting marked spatial and temporal variability. Microbial biomass carbon and nitrogen varied from 20.16 to 604.55 and 2.73 to 91.55 µg kg⁻¹, respectively, across depths and seasons. These variations indicate dynamic immobilization–mineralization processes modulated primarily by seasonal soil moisture availability, with microbial activity peaking during the rainy season and declining during summer. The findings highlight the critical influence of disturbance, depth, and season on soil functioning and underscore the need for disturbance-sensitive and seasonally informed strategies for sustainable soil and resource management in dry tropical forests.
DOI: 10.15468/dl.t5dtcu
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.99398 6.95009,-73.98822 6.93749,-73.93053 6.96314,-73.9003 6.99246,-73.88761 7.0188,-73.88853 7.03414,-73.89222 7.0701,-73.90261 7.08498,-73.9243 7.08727,-73.99398 6.95009))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3446 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021476-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15601114
title: Adopting Machine Learning and Deep Learning to predict Patient Adherence with Lifestyle Recommendations and Quality of Life Outcomes

description: Ongoing project regarding the predicton of patient adherence to a lifestyle intervention (including diet, physical activity, and vitamin D supplementation) via ML and DL frameworks. Data contains repeated measures outcomes of the intervention program and a set of sociodemographic and clinical baseline information from DEDiCa study which was approved by the Ministry of Health Italian, Italian Medicines Agency (AIFA) and the ethics committees of each recruiting hospital (ClinicalTrials.gov NCT02786875).
DOI: 10.5281/zenodo.15601115
title: Adopting Machine Learning and Deep Learning to predict Patient Adherence with Lifestyle Recommendations and Quality of Life Outcomes

description: Ongoing project regarding the predicton of patient adherence to a lifestyle intervention (including diet, physical activity, and vitamin D supplementation) via ML and DL frameworks. Data contains repeated measures outcomes of the intervention program and a set of sociodemographic and clinical baseline information from DEDiCa study which was approved by the Ministry of Health Italian, Italian Medicines Agency (AIFA) and the ethics committees of each recruiting hospital (ClinicalTrials.gov NCT02786875).
DOI: 10.15468/dl.awruqk
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus rubra",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 156 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000133-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv429t
title: Occurrence Download

description: A dataset containing 33294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus rubra",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33294 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000134-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16964708
title: Data_WP5_1 Physical Health Surveys

description: This dataset served to assess the physical health status of volunteers who participated in the URBANOME health study. The dataset incorporates data collected through the following surveys:ELSA-EPAR Questionnaire: Focuses on identifying respiratory conditions and allergic reactions, such as asthma, rhinitis, and anaphylaxis. It also gathers detailed information regarding diagnosis, underlying causes, and family medical history.LARES Questionnaire: Examines non-communicable diseases in relation to environmental and housing conditions. It addresses factors such as indoor and outdoor air quality, noise levels, waste management, and access to green spaces and healthcare services, along with broader neighborhood characteristics (Ormandy, 2009). Both questionnaires were completed by participants before and after the intervention (Phase IIa and Phase IIb), enabling a comparative analysis of health status over time. Data are stored by ULL, and each data file is accompanied by a data dictionary to support the identification and interpretation of the variables, questions, and response options.
DOI: 10.5281/zenodo.16964709
title: Data_WP5_1 Physical Health Surveys

description: This dataset served to assess the physical health status of volunteers who participated in the URBANOME health study. The dataset incorporates data collected through the following surveys:ELSA-EPAR Questionnaire: Focuses on identifying respiratory conditions and allergic reactions, such as asthma, rhinitis, and anaphylaxis. It also gathers detailed information regarding diagnosis, underlying causes, and family medical history.LARES Questionnaire: Examines non-communicable diseases in relation to environmental and housing conditions. It addresses factors such as indoor and outdoor air quality, noise levels, waste management, and access to green spaces and healthcare services, along with broader neighborhood characteristics (Ormandy, 2009). Both questionnaires were completed by participants before and after the intervention (Phase IIa and Phase IIb), enabling a comparative analysis of health status over time. Data are stored by ULL, and each data file is accompanied by a data dictionary to support the identification and interpretation of the variables, questions, and response options.
DOI: 10.15468/dl.x2g6jv
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplosporidium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 90 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050118-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16948679
title: Dataset and R Code for Correlates of Contestation Against Religious Authorities in Medieval Inquisitorial Testimonies

description: This deposit contains the dataset and R code necessary to reproduce all statistical analyses reported in the article “Correlates of Contestation Against Religious Authorities in Medieval Inquisitorial Testimonies”. The study examines 4,357 testimonies drawn from 20 inquisition registers across Latin Christendom (1243–1522), investigating how explicit contestations of religious authority correlate with dissident religious affiliation, gender, urban context, and chronology.

analyses.RComplete R script implementing the analysis workflow: descriptive statistics, register-level beta regression, testimony-level multilevel logistic regression, and random-forest permutation importance with bootstrap. Produces all tables and figures reported in the manuscript.

testimonies.tsvTab-separated, UTF-8 encoded file containing the testimony-level dataset (n = 4,357). Each row corresponds to one testimony. Column documentation:



d1_fname – Unique identifier of the document (string).

d2_ter – Register short name (string; 20 registers in corpus).

d3_title – First 20 characters of the text (for license/reproducibility checks).

Y – Dependent variable: testimony contains contestation against religious authorities (1 = yes, 0 = no).

x1_urban – Urban setting of the register (1 = urban, 0 = non-urban).

x2_date – Mean date of the register (decimal year; .5 = 1 July).

x3_deprel – Religious affiliation of the deponent (categorical: Apostles, Beguins, Cathars, Guglielmites, Lollards, Waldensians, Other_heterodox, Non_heterodox).

x4_gender – Gender of the deponent (1 = male, 0 = female).

c1_tok – Number of tokens (linguistic words) in the testimony (integer).

c2_lex – Lexical diversity of the testimony (MTLD measure; float).

c3_qf – Number of inquisitorial questions in the testimony (integer).


testimonies_variables.tsvTab-separated, UTF-8 encoded file, lookup table linking column names of testimonies.tsv to labels (used in tables and figures).

results.rdsOutput RDS object (produced by running the R code) containing testimonies, variables, fitted models, marginal effects, and bootstrap variable importance.
DOI: 10.5281/zenodo.14283531
title: Topological nodal i-wave superconductivity in PtBi2

description: This repository contains data and codes used in our paper: "Topological nodal i-wave superconductivity in PtBi2". See the readme.txt file for more information.
DOI: 10.5281/zenodo.14283532
title: Topological nodal i-wave superconductivity in PtBi2

description: This repository contains data and codes used in our paper: "Topological nodal i-wave superconductivity in PtBi2". See the readme.txt file for more information.
DOI: 10.60893/figshare.jcp.29473988
title: Supplemental Dataset

description: Raw data used in the study
DOI: 10.60893/figshare.jcp.29473988.v1
title: Supplemental Dataset

description: Raw data used in the study
DOI: 10.15468/dl.tr6w2u
title: Occurrence Download

description: A dataset listing the 922 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset, U.S.D.A. Forest Service, Redwood Sciences Laboratory - Lamna Point Count)",
 "GadmGid is one of (USA.38.20_1, USA.38.9_1, USA.38.10_1, USA.38.16_1, USA.38.18_1, USA.38.7_1, USA.38.22_1)",
 "Month is one of (March, April, May, June, July, August, September, October, November)",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 922 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021369-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2zaky
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mya japonica",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007427-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nhg67
title: Occurrence Download

description: A dataset listing the 295 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is CO1 Amplicon Sequence Variants of bulk arthropod samples (preservative ethanol) collected with Malaise traps from the Insect Biome Atlas project in Sweden"
 ]
}

 The dataset's 295 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007412-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty9j8e
title: Occurrence Download

description: A dataset containing 34820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ranunculus montanus"
 ]
}

 The dataset includes 34820 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007426-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16422069
title: Antecedent flow conditions drive patterns of primary producer biomass in a mid-sized temperate river

description: The following data is associated with a three-year long study of the biomass of primary producers in the Middle Oconee River in Athens, GA, USA.
DOI: 10.5281/zenodo.16422070
title: Antecedent flow conditions drive patterns of primary producer biomass in a mid-sized temperate river

description: The following data is associated with a three-year long study of the biomass of primary producers in the Middle Oconee River in Athens, GA, USA.
DOI: 10.15468/dl.46nd2u
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Centralisation des observations floristiques dans le cadre du SINP - Observations floristiques - plateforme SINP régionale SILENE PACA",
 "TaxonKey is Reynoutria japonica"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8kr46
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Copernicia prunifera",
 "Year 2012-2025"
 ]
}

 The dataset includes 383 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007429-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/jc5bm-53t16
title: Vibrio cholerae PM5

description: C6706Z- ∆vc1394 (MCP F9 system- uncat)
description: <strong>Tilt Series Date:</strong> 2015-06-04</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O1 biovar El Tor</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -8.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Simon Ringgaard</p>
  aba2015-06-04-13_slicer13911.jpg: flagellar motor aba2015-06-04-13_slicer13912.jpg: long and short array
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-06-04-13/rawdata/</p>PM5June0009.mrc,  Tilt Series (Pixel Size 0.32 nm), 3.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-06-04-13/rawdata/PM5June0009.mrc"
        > <i class="download icon"></i> Download </a></p>

        PM5June0009_full.rec,  Reconstruction (Pixel Size 1.28 nm), 688.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-06-04-13/3dimage_58034/PM5June0009_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/w7kcr-bf144
title: A411V in vitro

description: A411V PEG in vitro sample7.5%PEG (in 1x P.P buffer) with 50µM CFA411V4Q, 12µM CheA, 20 µM CheW, 4% Trehalose [50µl total volume]
description: <strong>Tilt Series Date:</strong> 2015-07-09</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Escherichia coli in vitro</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 80.0 eV/Å²,  defocus: -6.0 μm,  magnification: 53000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Lynmarie Thompson</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-09-59/rawdata/</p>A411V_53magB0043.mrc,  Tilt Series (Pixel Size 0.206 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-09-59/rawdata/A411V_53magB0043.mrc"
        > <i class="download icon"></i> Download </a></p>

        A411V_53magB0043_part41_5.rec,  Reconstruction (Pixel Size 0.824 nm), 688.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-09-59/3dimage_59088/A411V_53magB0043_part41_5.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/d7sx2-6mp07
title: Methanobacterium formicicum

description: Raw data files of Methanobacterium formicicum
description: <strong>Tilt Series Date:</strong> 2015-05-07</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Methanobacterium formicicum</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Eric Matson</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-19/rawdata/</p>Methano_eric0015.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-19/rawdata/Methano_eric0015.mrc"
        > <i class="download icon"></i> Download </a></p>

        Methano_eric0015_full.rec,  Reconstruction (Pixel Size 2.4 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-19/3dimage_56106/Methano_eric0015_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3q1y2-5cz95
title: P. aeruginosa T6SS minicell

description: Pseudomonas JT1599Grid box YWC247
description: <strong>Tilt Series Date:</strong> 2017-04-14</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Pseudomonas aeruginosa</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Jonida Toska at John Mekalanos lab</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-90/rawdata/</p>20170414_YWC247_10099.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-90/rawdata/20170414_YWC247_10099.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170414_YWC247_10099_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-90/3dimage_83820/20170414_YWC247_10099_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/8yarq-1nh10
title: Azospirillum WT

description: prepared by Andreas
description: <strong>Tilt Series Date:</strong> 2015-08-24</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Azospirillum brasilense</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -8.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Gladys Alexandre</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-08-24-21/3dimage_60647/</p>AK22B-August0004_part121_23.rec,  Reconstruction (Pixel Size 1.32 nm), 688.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-08-24-21/3dimage_60647/AK22B-August0004_part121_23.rec"
        > <i class="download icon"></i> Download </a></p>

        AK22B-August0004.mrc,  Tilt Series (Pixel Size 0.33 nm), 3.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-08-24-21/rawdata/AK22B-August0004.mrc"
        > <i class="download icon"></i> Download </a></p>