cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4u973e
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Odinia czernyi Collin, 1952",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 65 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084974-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6gtuh
title: Occurrence Download

description: A dataset containing 25689 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Diabrotica undecimpunctata Mannerheim, 1843",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 25689 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084975-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2reh5b
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hapalemur aureus Meier, Albignac, Peyriéras, Rumpler & Wright, 1987)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084976-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p4ehm
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Leopardus tigrinus (Schreber, 1775))"
 ]
}

 The dataset includes 704 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084977-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6r98j
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Odinia meijerei Collin, 1952",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084978-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtuqwh
title: Occurrence Download

description: A dataset containing 2234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Handroanthus chrysotrichus (Mart. ex DC.) Mattos"
 ]
}

 The dataset includes 2234 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084979-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx5zhg
title: Occurrence Download

description: A dataset containing 2422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prolemur simus (Gray, 1870))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2422 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084981-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quvfsy
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Odinia xanthocera Collin, 1952",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084982-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7j25b
title: Occurrence Download

description: A dataset containing 25689 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Diabrotica undecimpunctata Mannerheim, 1843",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 25689 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084980-240626123714530/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.21352762.v1
title: Idiopathic Pulmonary Fibrosis: What do we Know about the Role of Occupational and Environmental Determinants? A Systematic Literature Review and Meta-Analysis

description: The objectives of this systematic review of original articles published up until August 2021 and meta-analyses were to identify the links between occupational and non-occupational environmental exposures, types of occupations and idiopathic pulmonary fibrosis (IPF). Sixteen selected case-control studies were qualified as good level with Newcastle-Ottawa quality assessment scale. Sensitivity analyses highlighted the role of choice of control group, tobacco adjustment and diagnostic tools. Significantly increased risks of IPF were observed (OR (95%CI): for metals (1.42(1.05–1.92)), wood (OR:1.32(1.02–1.71)), and general dust (OR:1.32(1.08–1.63)) exposures. Subgroup analyses found a significantly elevated risk for: hardwood (OR:1.75 (1.13–2.70)), organic dusts (OR:1.72 (1.20–2.46)) and pesticides (OR:2.30 (1.30–4.08)), while no significant change was noted for softwoods and solvents. Smoking adjustments: general dust (1.45 (1.04–2.03)/organic dust (2.5 (1.49–4.22)/metals (1.87 (1.16–3)/wood dust OR: 1.16 (0.86–1.61)/pesticide exposure 2.4 (0.84–6.9) were calculated. Among agricultural workers, the risk was also increased (OR:2.06 (1.02–4.16)). Few environmental data were available and no significant associations detected. Thus, these meta-analyses highlighted the role of some occupational exposures in IPF occurrence. A more accurate and thorough assessment of exposures over the entire working life as well as on the duration and intensity of exposure and complex of multi-pollutant exposure is needed in future research and clinical practice.
DOI: 10.5281/zenodo.7228131
title: Small-angle X-ray scattering datasets for imaging crossing fibers in mouse, pig, monkey, and human brain

description: Small-angle X-ray scattering datasets for resolving crossing fibers (myelinated neuronal axon bundles), as described in "<strong><em>Imaging crossing fibers in mouse, pig, monkey, and human brain using small-angle X-ray scattering</em></strong>" deposited in bioRxiv: https://doi.org/10.1101/2022.09.30.510198
DOI: 10.5281/zenodo.7228130
title: Small-angle X-ray scattering datasets for imaging crossing fibers in mouse, pig, monkey, and human brain

description: Small-angle X-ray scattering datasets for resolving crossing fibers (myelinated neuronal axon bundles), as described in "<strong><em>Imaging crossing fibers in mouse, pig, monkey, and human brain using small-angle X-ray scattering</em></strong>" deposited in bioRxiv: https://doi.org/10.1101/2022.09.30.510198
DOI: 10.5281/zenodo.7234700
title: Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations

description: # *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"* The input files and data used for the paper *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"* are separated in the different folders depending stage they belong to. ## Folders 1. **01_inputs:** The MD trajectory of DhaA used (only protein atoms present)<br> 2. **02_sliced_trajectory:** The CAVER3 results for the sliced trajectory (eight parts)<br> 3. **03_sliced_filtered:** Filtered CAVER3 results and results from the divide-and-conquer approach<br> 4. **04_full_trajectory:** The CAVER3 results for the full trajectory analysis<br> 5. **05_guided_example:** Guided example for the divide-and-conquer approach<br>
DOI: 10.5281/zenodo.7234699
title: Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations

description: # *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"* The input files and data used for the paper *"Divide-and-conquer approach to study protein tunnels in long molecular dynamics simulations"* are separated in the different folders depending stage they belong to. ## Folders 1. **01_inputs:** The MD trajectory of DhaA used (only protein atoms present)<br> 2. **02_sliced_trajectory:** The CAVER3 results for the sliced trajectory (eight parts)<br> 3. **03_sliced_filtered:** Filtered CAVER3 results and results from the divide-and-conquer approach<br> 4. **04_full_trajectory:** The CAVER3 results for the full trajectory analysis<br> 5. **05_guided_example:** Guided example for the divide-and-conquer approach<br>
DOI: 10.21227/jnm9-bb10
title: Engineering Education Technologies Report 2020

description: This dataset analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast which information and communication technologies were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer science, etc.) and region. Results indicate that Adaptive and personalized learning technologies, Learning analytics, and Open educational resources are the three most promising technologies that will impact engineering education in the short term.
DOI: 10.57745/mlr4sx
title: images_sequences_growing_lesions.zip

description: images_sequences_growing_lesions
DOI: 10.57745/hin6hc
title: metadata_images.ods

description: Images metadata
DOI: 10.57745/f3e8li
title: README

description: Readme file.
DOI: 10.17632/5kjcyzbkd9.1
title: Choice of Template Delivery Mitigates the Genotoxic Risk and Adverse Impact of Editing in Human Hematopoietic Stem Cells.

description: Raw data from the main figures of the article by Ferrari, Jacob, Cesana et al, Cell Stem Cell (https://doi.org/10.1016/j.stem.2022.09.001).
DOI: 10.6084/m9.figshare.21378981
title: Lu et al-An Active Site Loop Toggles Between Conformations to Control Antibiotic Hydrolysis and Inhibition Potency for CTX-M beta-lactamase Drug-Resistance Enzymes

description: Molecular dynamics simulations trajectories for publication, "An Active Site Loop Toggles Between Conformations to Control Antibiotic Hydrolysis and Inhibition Potency for CTX-M beta-lactamase Drug-Resistance Enzymes" Shuo Lu1, Liya Hu2, Hanfeng Lin1, Allison Judge2, Paola Rivera1, Murugesan Palaniappan3, Banumathi Sankaran4, Jin Wang1, B.V. Venkataram Prasad2 and Timothy Palzkill1,2* Department of Pharmacology and Chemical Biology1, Department of Biochemistry and Molecular Biology2, Center for Drug Discovery, Department of Pathology & Immunology3, Baylor College of Medicine, Houston, TX 77030 Department of Molecular Biophysics and Integrated Bioimaging, Berkeley Center for Structural Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA4 *Corresponding author: timothyp@bcm.edu
DOI: 10.6084/m9.figshare.21378981.v1
title: Lu et al-An Active Site Loop Toggles Between Conformations to Control Antibiotic Hydrolysis and Inhibition Potency for CTX-M beta-lactamase Drug-Resistance Enzymes

description: Molecular dynamics simulations trajectories for publication, "An Active Site Loop Toggles Between Conformations to Control Antibiotic Hydrolysis and Inhibition Potency for CTX-M beta-lactamase Drug-Resistance Enzymes" Shuo Lu1, Liya Hu2, Hanfeng Lin1, Allison Judge2, Paola Rivera1, Murugesan Palaniappan3, Banumathi Sankaran4, Jin Wang1, B.V. Venkataram Prasad2 and Timothy Palzkill1,2* Department of Pharmacology and Chemical Biology1, Department of Biochemistry and Molecular Biology2, Center for Drug Discovery, Department of Pathology & Immunology3, Baylor College of Medicine, Houston, TX 77030 Department of Molecular Biophysics and Integrated Bioimaging, Berkeley Center for Structural Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA4 *Corresponding author: timothyp@bcm.edu
DOI: 10.5281/zenodo.7230863
title: GEOGLAM Best Available Crop Type Masks

description: Best Available Crop Specific masks (BACS) over the major production and export countries for wheat, maize, rice, and soybeans, in the context of the G20 Global Agriculture Monitoring Program, GEOGLAM. The countries covered by GEOGLAM-BACS account for a total of 84% of soy, 54% of maize, 62% of wheat, and 92% of rice production globally.
description: The primary use of this dataset is for underpinning EO-based, global, crop-specific condition monitoring for four of the major crop commodities in the major production/exporting countries, through the GEOGLAM Crop Monitor activity. As noted in the prior section (Technical Validation: Known Issues & Required Improvements), there is room for improvement with respect to validation, extent, resolution, and seasonal specificity, and these limitations should be noted in the application of these data in different monitoring activities. Nevertheless, the data are already being operationally used within the GEOGLAM Crop Monitor Reports.
DOI: 10.5281/zenodo.7231068
title: Gap junction coupling of Golgi cells in cerebellar cortex model

description: Gap junction coupling of Golgi cells in cerebellar cortex model
DOI: 10.5281/zenodo.7231067
title: Gap junction coupling of Golgi cells in cerebellar cortex model

description: Gap junction coupling of Golgi cells in cerebellar cortex model
DOI: 10.23708/fo2hgm
title: Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

description: This dataset includes two packages: Age_depth_models and Tropical_Peats for the creation of the age-depth models and the processing and analysis of the geospatial data, which are presented in the article Hydroclimatic vulnerability of peat carbon in the central Congo Basin. The package Age_depth_models includes the data and R codes to run the age/depth models of cores CEN-17.4, LOK5-5 and BDM1-7. The package Tropical_Peats (JupyterHub notebooks https://jupyter.org) includes all the codes for the processing and analysis of the climate spaces (precipitation amount and seasonality index), tropical peatland distribution and precipitation reconstruction. In summary, the data processing starts with the upload of the CHELSA data Version 1.2 (climatologies) publicly available at https://chelsa-climate.org/downloads/ and of the PEATMAP dataset (current geographical extents of peat-bearing regions) publicly available at https://archive.researchdata.leeds.ac.uk/251/. Then the data are reprojected (if necessary) and downsampled, the tropical areas are extracted, matched, analysed and ultimately plotted. Note that the sedimentary data presented in this study are available at https://doi.pangaea.de/10.1594/PANGAEA.938019.
DOI: 10.5281/zenodo.7230836
title: [3/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.7230835
title: [3/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.7230830
title: [2/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.7230829
title: [2/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.7230798
title: [1/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.7230797
title: [1/3] Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation

description: Patch clamp of a Purkinje cell in a simulated cerebellar cortex model during single impulse stimulation
DOI: 10.5281/zenodo.6511595
title: GEOGLAM Best Available Crop Type Masks

description: Best Available Crop Specific masks (BACS) over the major production and export countries for wheat, maize, rice, and soybeans, in the context of the G20 Global Agriculture Monitoring Program, GEOGLAM. The countries covered by GEOGLAM-BACS account for a total of 84% of soy, 54% of maize, 62% of wheat, and 92% of rice production globally.
description: The primary use of this dataset is for underpinning EO-based, global, crop-specific condition monitoring for four of the major crop commodities in the major production/exporting countries, through the GEOGLAM Crop Monitor activity. As noted in the prior section (Technical Validation: Known Issues & Required Improvements), there is room for improvement with respect to validation, extent, resolution, and seasonal specificity, and these limitations should be noted in the application of these data in different monitoring activities. Nevertheless, the data are already being operationally used within the GEOGLAM Crop Monitor Reports.
DOI: 10.6084/m9.figshare.20477151
title: Data for all of the analyses

description: 1) Force-Temperature data (Sara) 2) Vacuum data on glass slides (Madi) 3) Vacuum/heat data on sandpaper slides (Madi) 4) Ant trial data (Madi/Eric/Kathy) 5) Force of attachment for washed versus new slides - background data for exp. design, in supplementary figure 3, but probably useful to someone else, too! (Sara)
DOI: 10.6084/m9.figshare.20477151.v1
title: Data for all of the analyses

description: 1) Force-Temperature data (Sara) 2) Vacuum data on glass slides (Madi) 3) Vacuum/heat data on sandpaper slides (Madi) 4) Ant trial data (Madi/Eric/Kathy)
DOI: 10.34740/kaggle/dsv/4365597
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7234033
title: Perdana and Vielle, 2022_JEPO_DATASET

description: This dataset contains the underlying data (Redistribution of CBAM) for the journal article by Perdana and Vielle, 2022 published in Energy Policy in September 2022.
DOI: 10.5281/zenodo.7234034
title: Perdana and Vielle, 2022_JEPO_DATASET

description: This dataset contains the underlying data (Redistribution of CBAM) for the journal article by Perdana and Vielle, 2022 published in Energy Policy in September 2022.
DOI: 10.5281/zenodo.7233858
title: Koasidis et al., 2022_ESD_DATASET

description: This dataset contains the underlying data (Stakeholder votes) for the journal article by Koasidis et al., 2022 published in Energy for Sustainable Development in May 2022.
DOI: 10.5281/zenodo.7233859
title: Koasidis et al., 2022_ESD_DATASET

description: This dataset contains the underlying data (Stakeholder votes) for the journal article by Koasidis et al., 2022 published in Energy for Sustainable Development in May 2022.
DOI: 10.5281/zenodo.7229823
title: Koasidis et al.,2022_MCDM_SD_DATASET

description: This dataset contains the underlying data (Stakeholder votes) for the book chapter Koasidis et al., 2022 published in Multiple Criteria Decision Making in January 2022.
DOI: 10.5281/zenodo.7229824
title: Koasidis et al.,2022_MCDM_SD_DATASET

description: This dataset contains the underlying data (Stakeholder votes) for the book chapter Koasidis et al., 2022 published in Multiple Criteria Decision Making in January 2022.
DOI: 10.5281/zenodo.5906623
title: Categorical variables based on cross country household survey on energy consumption

description: The data used in this file was collected via two large-scale surveys conducted in Italy, Switzerland and the Netherlands. A total of 6,138 responses were recorded, containing information on socio-demographic and socio-psychological characteristics, dwelling and household characteristics, technologies and energy services used, and their metered electricity consumption. There were a large number of missing responses for metered electricity consumption in the Netherlands, leading to an under-representation of data from this country. The survey responses were used to construct newly defined energy efficiency indicators, and energy service indicators. This allows two distinct factors to be separated: service consumption, and energy efficiency relative to the demanded service. Firstly, dwelling characteristics and survey responses related to energy services (e.g. floorspace, ownership of specific appliances and number of lightbulbs), were regressed to the collected metered electricity data. For each household, this allowed us to calculate the expected lighting and appliance electricity demand based on the level service that the household demanded, which is referred to as lighting and appliance service demand indicators. The idea is that a larger house, or a house with more appliances for example is expected to use more electricity. Relative to this expected electricity demand energy efficiency can be calculated. All variables are categorised in categorical variables deducted based on the questions asked in the two surveys. The survey responses were clustered based on the lighting service demand, appliance service demand and the efficiency gap (k-means clustering with Jaccard dissimilarity measure) which is described in Edelenbosch, Miu et al (2022). Translating observed household energy behaviour to agent-based technology choices in an integrated modelling framework. <em>Iscience</em> (accepted).