cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ctrg3m
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Microbial Culture Collection, National Institute for Environmental Studies"
 ]
}

 The dataset includes 185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004366-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxpepf
title: Occurrence Download

description: A dataset containing 3802 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium texanum Buckley"
 ]
}

 The dataset includes 3802 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138734-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrw6tv
title: Occurrence Download

description: A dataset containing 1339711 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
}

 The dataset includes 1339711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070788-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qyagb
title: Occurrence Download

description: A dataset containing 1258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium lineare (Thunb.) Sch.Bip."
 ]
}

 The dataset includes 1258 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138738-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be5905
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophryacus undulatus (Jan, 1859)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004366-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cctgp6
title: Occurrence Download

description: A dataset containing 8504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 8504 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013467-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4piy1c
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Université Pédagogique Nationale de Kinshasa (UPN) - Le bétail dans la République Démocratique du Congo (bases de données des animaux élevés pour consommation)- Projet CABIN"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004366-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbec7e
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium tracyi (Rydb.) Petr."
 ]
}

 The dataset includes 314 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138743-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek29dy
title: Occurrence Download

description: A dataset containing 3855 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-98.56865 19.72733,-98.64143 19.66553,-98.65105 19.487,-98.34618 19.487,-98.283 19.60373,-98.40385 19.72733,-98.56865 19.72733))"
 ]
}

 The dataset includes 3855 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008139-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcjrsg
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium uetsuense Kitam."
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138753-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frwpdg
title: Occurrence Download

description: A dataset containing 149434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Osus Gorokhov, 1987, Otis, Otys Champion, 1895, Otus Pennant, 1769, Otus Cuvier, 1800, Otus Dejean, 1821, Otus Risso, 1826, Otus Spence Bate, 1862, Otus Gray, 1871, Otus Hübner, Obus Navás, 1912, Odus Lehr, 1986, Omus Eschscholtz, 1829, Orus Casey, 1885, Otis Linnaeus, 1758, Oxus Kramer, 1877, Onus Agassiz, 1846, Onus Gilli, Onus Rafinesque, 1810, Orus Thorell, 1891, Osus Gorokhov, 1987, Otis, Otys Champion, 1895, Otus Pennant, 1769, Otus Cuvier, 1800, Otus Dejean, 1821, Otus Risso, 1826, Otus Spence Bate, 1862, Otus Gray, 1871, Otus Hübner, Obus Navás, 1912, Odus Lehr, 1986, Omus Eschscholtz, 1829, Orus Casey, 1885, Otis Linnaeus, 1758, Oxus Kramer, 1877, Onus Agassiz, 1846, Onus Gilli, Onus Rafinesque, 1810, Orus Thorell, 1891, Osus Gorokhov, 1987, Otis, Otys Champion, 1895, Otus Pennant, 1769, Otus Cuvier, 1800, Otus Dejean, 1821, Otus Risso, 1826, Otus Spence Bate, 1862, Otus Gray, 1871, Otus Hübner, Obus Navás, 1912, Odus Lehr, 1986, Omus Eschscholtz, 1829, Orus Casey, 1885, Otis Linnaeus, 1758, Oxus Kramer, 1877, Onus Agassiz, 1846, Onus Gilli, Onus Rafinesque, 1810, Orus Thorell, 1891, Osus Gorokhov, 1987, Otis, Otys Champion, 1895, Otus Pennant, 1769, Otus Cuvier, 1800, Otus Dejean, 1821, Otus Risso, 1826, Otus Spence Bate, 1862, Otus Gray, 1871, Otus Hübner, Obus Navás, 1912, Odus Lehr, 1986, Omus Eschscholtz, 1829, Orus Casey, 1885, Otis Linnaeus, 1758, Oxus Kramer, 1877, Onus Agassiz, 1846, Onus Gilli, Onus Rafinesque, 1810, Orus Thorell, 1891, Osus Gorokhov, 1987, Otis, Otys Champion, 1895, Otus Pennant, 1769, Otus Cuvier, 1800, Otus Dejean, 1821, Otus Risso, 1826, Otus Spence Bate, 1862, Otus Gray, 1871, Otus Hübner, Obus Navás, 1912, Odus Lehr, 1986, Omus Eschscholtz, 1829, Orus Casey, 1885, Otis Linnaeus, 1758, Oxus Kramer, 1877, Onus Agassiz, 1846, Onus Gilli, Onus Rafinesque, 1810, Orus Thorell, 1891)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 149434 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013462-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjqfuf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Megafauna abundance and biomass from trawl samples obtained during cruise DI226"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004366-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj8gxh
title: Occurrence Download

description: A dataset containing 76847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Magnoliaceae"
 ]
}

 The dataset includes 76847 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0363920-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e200723v1
title: The role of green semi-open space design on improving mental health and stress reduction of remote workers, a VR approach

description: Knowing the effects of greenery on
mental health and stress reduction, in this article we determine the effects
green balconies and green building faced can have on reducing stress and
improving mental health for remote workers specifically in times of pandemic.
We used Kaplan’s theory on attention restoration to create questions for the
balcony types we created in a 3d software and later presented to volunteers
through virtual reality glass. We also used Ulrich’s theory on stress reduction
to emphasize our point on the matter.

By turning apartment balconies into semi-open
green spaces, we can significantly improve people’s mental health and reduce
their stress. A green balcony is accessible to people at all times, so it is
not only beneficial during the pandemic but also for everyday life.
DOI: 10.15468/dl.8c2qs5
title: Occurrence Download

description: A dataset containing 643471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-56.39675 -22.40385,-55.8897 -22.27202,-55.22521 -24.10845,-54.22068 -23.59765,-51.33128 -20.16294,-52.38243 -19.12257,-55.73728 -16.79277,-58.7861 -19.54251,-57.83824 -21.98549,-56.39675 -22.40385))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 643471 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198349-240321170329656/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.15026514
title: Additional file 1 of In vitro antibiofilm activity of resveratrol against avian pathogenic Escherichia coli

description: Additional file 1.
DOI: 10.6084/m9.figshare.16599680
title: Additional file 2 of Genome-wide identification and characterization of bZIP transcription factors and their expression profile under abiotic stresses in Chinese pear (Pyrus bretschneideri)

description: Additional file 2: Table S2. Molecular characterization of PbbZIP genes Family in Chinese pear genome.
DOI: 10.6084/m9.figshare.19745495.v1
title: Additional file 5 of Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

description: Additional file 5: Table S5. Hypoxia- and immune-related genes identified by univariate Cox regression analysis.
DOI: 10.6084/m9.figshare.15026526.v1
title: Additional file 4 of Cortical thickness distinguishes between major depression and schizophrenia in adolescents

description: Additional file 4: Supplementary Table 4. The mean feature weight and cross-validation ratio of all brain regions.
DOI: 10.6084/m9.figshare.19745501.v1
title: Additional file 7 of Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

description: Additional file 7: Table S7.72 enriched KEGG pathways correlated with ISG15.
DOI: 10.6084/m9.figshare.16599732
title: Additional file 4 of Human Wharton's jelly-derived mesenchymal stem cells alleviate concanavalin A-induced fulminant hepatitis by repressing NF-κB signaling and glycolysis

description: Additional file 4. Table S3. Expression matrix of human T cells analyzed by RNA-sequencing.
DOI: 10.6084/m9.figshare.15026514.v1
title: Additional file 1 of In vitro antibiofilm activity of resveratrol against avian pathogenic Escherichia coli

description: Additional file 1.
DOI: 10.6084/m9.figshare.16599732.v1
title: Additional file 4 of Human Wharton's jelly-derived mesenchymal stem cells alleviate concanavalin A-induced fulminant hepatitis by repressing NF-κB signaling and glycolysis

description: Additional file 4. Table S3. Expression matrix of human T cells analyzed by RNA-sequencing.
DOI: 10.6084/m9.figshare.16599723.v1
title: Additional file 3 of Human Wharton's jelly-derived mesenchymal stem cells alleviate concanavalin A-induced fulminant hepatitis by repressing NF-κB signaling and glycolysis

description: Additional file 3. Table S2. Expression matrix of liver tissues analyzed by RNA-sequencing.
DOI: 10.57745/kojzqn
title: SIR-entretiens-FILEG.pdf

description: :unav
DOI: 10.6084/m9.figshare.19745492
title: Additional file 4 of Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

description: Additional file 4: Table S4. The DEGs between high- and low-immune score groups.
DOI: 10.6084/m9.figshare.16599833
title: Additional file 13 of Comprehensive transcriptome and methylome analysis delineates the biological basis of hair follicle development and wool-related traits in Merino sheep

description: Additional file 13: Table S7. Number of the negatively correlated (Pearson correlation coefficient (PCC) &lt; -0.7) miRNA-targets pairs.
DOI: 10.6084/m9.figshare.19745492.v1
title: Additional file 4 of Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

description: Additional file 4: Table S4. The DEGs between high- and low-immune score groups.
DOI: 10.6084/m9.figshare.19745504.v1
title: Additional file 8 of Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

description: Additional file 8: Table S8. 197 enriched KEGG pathways correlated with ZFP36.
DOI: 10.5281/zenodo.8322668
title: 2. Pinfish recruitment data

description: Data and code for assessing pinfish density dependent compensatory mortality
DOI: 10.5281/zenodo.8322669
title: 2. Pinfish recruitment data

description: Data and code for assessing pinfish density dependent compensatory mortality
DOI: 10.6084/m9.figshare.16599851
title: Additional file 19 of Comprehensive transcriptome and methylome analysis delineates the biological basis of hair follicle development and wool-related traits in Merino sheep

description: Additional file 19: Table S11. Comparisons of the mapping statistics of 18 RNA-seq datasets between Oar_v3.1 and Oar_rambouillet_v1.0.
DOI: 10.5281/zenodo.10679471
title: Thesis Experiment Data

description: There are 3 Experiment Folders. Each experiment has 9 replicates (9 run folders).

For each "run folder", there is a config file, an iteration.p file from 0 to final, and a log. 

Additionally, there is inside the "run folder", a folder with the name of the levels where solutions were evolved (the name is the number of the level from 0 to 6). 

In this folder,

there are some relevant extracted data, such as the final_grid.csv that contains the final MapElites grid, the final population obtained by the end of that level; and the stats.csv that has the Avg, Std, Max Fitness, and QD scores form every iteration throughout evolution in that level.

Furthermore, there are 4 .png files that condense information about evolution in that level, and there is a JSON file, that stores all son and father pairs that existed/were produced in that level.

The folder "Top10" has the videos and the ANNs of the top 10 fittest solutions from that level, and the folder "Extremes" contains the videos and the ANNs of the solutions that had extreme descriptor values (the highest and lowest) for both features ("number of edges" and "Z peaks average"). However, due to making the data too heavy, these 2 folders were deleted for every "run folder" but might contain useful visualization data, and should be addressed in the future.
DOI: 10.5281/zenodo.10679472
title: Thesis Experiment Data

description: There are 3 Experiment Folders. Each experiment has 9 replicates (9 run folders).

For each "run folder", there is a config file, an iteration.p file from 0 to final, and a log. 

Additionally, there is inside the "run folder", a folder with the name of the levels where solutions were evolved (the name is the number of the level from 0 to 6). 

In this folder,

there are some relevant extracted data, such as the final_grid.csv that contains the final MapElites grid, the final population obtained by the end of that level; and the stats.csv that has the Avg, Std, Max Fitness, and QD scores form every iteration throughout evolution in that level.

Furthermore, there are 4 .png files that condense information about evolution in that level, and there is a JSON file, that stores all son and father pairs that existed/were produced in that level.

The folder "Top10" has the videos and the ANNs of the top 10 fittest solutions from that level, and the folder "Extremes" contains the videos and the ANNs of the solutions that had extreme descriptor values (the highest and lowest) for both features ("number of edges" and "Z peaks average"). However, due to making the data too heavy, these 2 folders were deleted for every "run folder" but might contain useful visualization data, and should be addressed in the future.
DOI: 10.14278/rodare.2723
title: Retrained Models and Scripts for Aluminum at 298K and 933K

description: <strong>Retrained Models and Scripts for Aluminum at 298K and 933K</strong>

<em>Authors</em>

- Fiedler, Lenz (HZDR/CASUS)<br>
- Cangi, Attila (HZDR/CASUS)

Affiliations:

HZDR - Helmholtz-Zentrum Dresden-Rossendorf<br>
CASUS - Center for Advanced Systems Understanding

<em>Data set description</em>

This data sets contains models, scripts and inference results for aluminum at room temperature and the melting point. Training data, hyperparameters and general methodology follow Ref. [1]. The models here are retrained versions of the ones discussed in this publication, and therefore retrained versions of the models contained in Ref. [2]. As such, data from Ref. [2] has been used. Only a subset of models contained in Ref. [1] have been retrained, namely the room temperature model, one liquid and one solid melting point model with four training snapshot each, and the final melting point hybrid model (six training snapshots per phase). Furthermore, for both the hybrid melting temperature model and the room temperature model, multiple models with different initializations were trained.

All models were trained with the MALA code [3] version 1.2.1. They show better accuracy than their original counterparts, as they were trained using the inter-snapshot shuffling algorithm first discussed for the MALA code in Ref. [4].

[1] - "Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks", Physical Review B, doi.org/10.1103/PhysRevB.104.035120<br>
[2] - "RODARE", doi.org/10.14278/rodare.2485 (v1.0.0)<br>
[3] - "MALA", Zenodo, doi.org/10.5281/zenodo.5557254<br>
[4] - "Machine learning the electronic structure of matter across temperatures", Physical Review B, doi.org/10.1103/PhysRevB.108.125146

<em>Contents</em>

- The models themselves, labeled as either Al298K or Al933K, given as one .zip file per model<br>
    - For 933K, additionally "liquid", "solid" and "hybrid" denotes the training data set<br>
    - For ensembles, a running index denotes the number in the ensemble<br>
- Inference results, given as a single .zip file<br>
    - For all models, band energy and total free energy results are given in the .csv format<br>
        - The columns in these files correspond to "Calculated via DFT LDOS", "Calculated via ML-DFT LDOS", "Calculated via Kohn-Sham system", respectively<br>
    - For some models, additionally the predicted electronic density and density of states on select snapshots is given<br>
- Shuffling, training and testing scripts, given as a single .zip file<br>
    - Scripts are ready-to-use with suitable MALA installation, however, correct data paths have to be filled in<br>
    <br>
DOI: 10.14278/rodare.2724
title: Retrained Models and Scripts for Aluminum at 298K and 933K

description: <strong>Retrained Models and Scripts for Aluminum at 298K and 933K</strong>

<em>Authors</em>

- Fiedler, Lenz (HZDR/CASUS)<br>
- Cangi, Attila (HZDR/CASUS)

Affiliations:

HZDR - Helmholtz-Zentrum Dresden-Rossendorf<br>
CASUS - Center for Advanced Systems Understanding

<em>Data set description</em>

This data sets contains models, scripts and inference results for aluminum at room temperature and the melting point. Training data, hyperparameters and general methodology follow Ref. [1]. The models here are retrained versions of the ones discussed in this publication, and therefore retrained versions of the models contained in Ref. [2]. As such, data from Ref. [2] has been used. Only a subset of models contained in Ref. [1] have been retrained, namely the room temperature model, one liquid and one solid melting point model with four training snapshot each, and the final melting point hybrid model (six training snapshots per phase). Furthermore, for both the hybrid melting temperature model and the room temperature model, multiple models with different initializations were trained.

All models were trained with the MALA code [3] version 1.2.1. They show better accuracy than their original counterparts, as they were trained using the inter-snapshot shuffling algorithm first discussed for the MALA code in Ref. [4].

[1] - "Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks", Physical Review B, doi.org/10.1103/PhysRevB.104.035120<br>
[2] - "RODARE", doi.org/10.14278/rodare.2485 (v1.0.0)<br>
[3] - "MALA", Zenodo, doi.org/10.5281/zenodo.5557254<br>
[4] - "Machine learning the electronic structure of matter across temperatures", Physical Review B, doi.org/10.1103/PhysRevB.108.125146

<em>Contents</em>

- The models themselves, labeled as either Al298K or Al933K, given as one .zip file per model<br>
    - For 933K, additionally "liquid", "solid" and "hybrid" denotes the training data set<br>
    - For ensembles, a running index denotes the number in the ensemble<br>
- Inference results, given as a single .zip file<br>
    - For all models, band energy and total free energy results are given in the .csv format<br>
        - The columns in these files correspond to "Calculated via DFT LDOS", "Calculated via ML-DFT LDOS", "Calculated via Kohn-Sham system", respectively<br>
    - For some models, additionally the predicted electronic density and density of states on select snapshots is given<br>
- Shuffling, training and testing scripts, given as a single .zip file<br>
    - Scripts are ready-to-use with suitable MALA installation, however, correct data paths have to be filled in<br>
    <br>