cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.79tr6a
title: Occurrence Download

description: A dataset containing 8416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanerpes formicivorus (Swainson, 1827)"
 ]
}

 The dataset includes 8416 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063512-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfw45x
title: Occurrence Download

description: A dataset containing 3628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Primula minima L., Primula minima var. subacaulis Wimm. & Grab., Auricula villosa Spach, Primula minima var. caulescens Wimm. & Grab., Auriculaursii minima (L.) Soják, Primula minima var. pubescens Bluff & Fingerh., Primula minima f. pseudoforsteri Sundermann, Primula minima f. caulescens Wimm. & Grab., Primula minima subsp. brevistyla Tausch, Primula minima f. fimbriata Tausch, Primula truncata Lehm., Primula minima f. alba Bercht. & J.Presl, Primula minima var. multidentata Sünd., Primula pseudoforsteri Dalla Torre & Sarnth., Primula minima f. subacaulis Wimm. & Grab., Primula sauteri Schultz, Auricula-ursi minima (L.) Soják, Aretia minima (L.) Link, Kablikia minima (L.) Opiz, Auricula minima (L.) Spach, Aretia truncata (Lehm.) Link, Kablikia truncata (Lehm.) Opiz)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3628 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029737-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n6kp5
title: Occurrence Download

description: A dataset containing 83703 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium calceolus L."
 ]
}

 The dataset includes 83703 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029735-241126133413365/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.26537526
title: The Creation of an Individualized School Plan for Optimal Inclusion of Students with Osteogenesis Imperfecta

description: The aims of this study were to: (1) synthesize existing evidence regarding the integration of students with osteogenesis imperfecta (OI) into the school setting, (2) tabulate existing school integration tools for OI, and (3) create an individualized school plan to facilitate school integration. Guided by the process of developing evidence-informed guidelines, an international, interprofessional, expert task force was convened. The process entailed: (1) reviewing of the literature, (2) developing recommendations, and (3) creating a clinically meaningful, person-focused plan to facilitate the integration and promotion of school inclusivity. The 13-member task force relied on empirical studies, grey literature, and their experiential knowledge (from clinical, teaching or patient experiences) to devise the plan. Over a series of eight meetings and five drafts, the Task Force prioritized 14 core items for inclusion. These items consisted of general student information, fracture response protocol, student inclusion recommendations, mobility considerations, transfer considerations, toileting protocol, physical education recommendations, fieldtrip information, transportation considerations, evacuation plan, environmental and scholarly considerations, consent and authorization, and an annual renewal document. Further research is recommended to pilot the plan, solicit ongoing feedback, implement and evaluate the plan into routine education and health care practices.
DOI: 10.6084/m9.figshare.26537526.v1
title: The Creation of an Individualized School Plan for Optimal Inclusion of Students with Osteogenesis Imperfecta

description: The aims of this study were to: (1) synthesize existing evidence regarding the integration of students with osteogenesis imperfecta (OI) into the school setting, (2) tabulate existing school integration tools for OI, and (3) create an individualized school plan to facilitate school integration. Guided by the process of developing evidence-informed guidelines, an international, interprofessional, expert task force was convened. The process entailed: (1) reviewing of the literature, (2) developing recommendations, and (3) creating a clinically meaningful, person-focused plan to facilitate the integration and promotion of school inclusivity. The 13-member task force relied on empirical studies, grey literature, and their experiential knowledge (from clinical, teaching or patient experiences) to devise the plan. Over a series of eight meetings and five drafts, the Task Force prioritized 14 core items for inclusion. These items consisted of general student information, fracture response protocol, student inclusion recommendations, mobility considerations, transfer considerations, toileting protocol, physical education recommendations, fieldtrip information, transportation considerations, evacuation plan, environmental and scholarly considerations, consent and authorization, and an annual renewal document. Further research is recommended to pilot the plan, solicit ongoing feedback, implement and evaluate the plan into routine education and health care practices.
DOI: 10.15468/dl.q2y266
title: Occurrence Download

description: A dataset containing 760 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyoscyamus pusillus L."
 ]
}

 The dataset includes 760 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029738-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxvyaa
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angraecum pergracile Schltr."
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029739-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13357335
title: Data for "Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics"

description: - **`datasets`**: Includes `train.xyz` and `test.xyz`, which are utilized for training and testing the NEP model presented in the paper.

- **`nep-model`**: Contains details of the trained NEP model, including source data for trained energies, forces, and virials, as well as test errors. Additionally, Matlab scripts for plotting Fig. 1 and the trained NEP model are provided.

- **`NP-C-samples`**: Contains NP-C snapshots generated at densities of 0.3, 0.5, 1, and 1.5 g/cc. These snapshots are visualized in Fig. 3(a-d) of the paper.

- **`a-C-samples`**: Contains a-C snapshots generated at densities of 1.5, 2.5, and 3.5 g/cc. These snapshots are visualized in Fig. 3(e-g) of the paper.

- **`hnemd-NP-C`**: Includes input and output files for HNEMD calculations of NP-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(a-d) and Fig. 6(a) in the paper.

- **`hnemd-a-C`**: Includes input and output files for HNEMD calculations of a-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(e-h) and Fig. 6(b) in the paper.

- **`nemd-NP-C`**: Provides input and output files for NEMD calculations of NP-C at various densities, as well as Matlab scripts for plotting Fig. S4 in the supplementary information.

- **`nemd-a-C`**: Provides input and output files for NEMD calculations of a-C at various densities, as well as Matlab scripts for plotting Fig. S5 in the supplementary information.

- **`MFP-NP-C`**: Contains scripts for processing and plotting MFPs of NP-C as shown in Fig. 8(a).

- **`MFP-a-C`**: Contains scripts for processing and plotting MFPs of a-C as shown in Fig. 8(b).

- **`ccf-NP-C`**: Contains NP-C outputs of current correlation functions as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts for Fig. S9.

- **`ccf-a-C`**: Contains a-C outputs of current correlation function as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts for Fig. S10.
DOI: 10.5281/zenodo.13357334
title: Data for "Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics"

description: - **`datasets`**: Includes `train.xyz` and `test.xyz`, which are utilized for training and testing the NEP model presented in the paper.

- **`nep-model`**: Contains details of the trained NEP model, including source data for trained energies, forces, and virials, as well as test errors. Additionally, Matlab scripts for plotting Fig. 1 and the trained NEP model are provided.

- **`NP-C-samples`**: Contains NP-C snapshots generated at densities of 0.3, 0.5, 1, and 1.5 g/cc. These snapshots are visualized in Fig. 3(a-d) of the paper.

- **`a-C-samples`**: Contains a-C snapshots generated at densities of 1.5, 2.5, and 3.5 g/cc. These snapshots are visualized in Fig. 3(e-g) of the paper.

- **`hnemd-NP-C`**: Includes input and output files for HNEMD calculations of NP-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(a-d) and Fig. 6(a) in the paper.

- **`hnemd-a-C`**: Includes input and output files for HNEMD calculations of a-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(e-h) and Fig. 6(b) in the paper.

- **`nemd-NP-C`**: Provides input and output files for NEMD calculations of NP-C at various densities, as well as Matlab scripts for plotting Fig. S4 in the supplementary information.

- **`nemd-a-C`**: Provides input and output files for NEMD calculations of a-C at various densities, as well as Matlab scripts for plotting Fig. S5 in the supplementary information.

- **`MFP-NP-C`**: Contains scripts for processing and plotting MFPs of NP-C as shown in Fig. 8(a).

- **`MFP-a-C`**: Contains scripts for processing and plotting MFPs of a-C as shown in Fig. 8(b).

- **`ccf-NP-C`**: Contains NP-C outputs of current correlation functions as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts.

- **`ccf-a-C`**: Contains a-C outputs of current correlation function as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts.

- **`VDOS`**: Contains VDOS calcualtion for NP-C and a-C at 1.5 g/cc.

- **`kappa-size-effect`**: Effect of thermal conductivity on model size. 1.5 g/cc NP-C and 3.5 g/cc a-C are selected for the HNEMD calculations.

- **`diamond-kappa`**: thermal conductivity as a function of HNEMD production time for diamond.
DOI: 10.5281/zenodo.14382402
title: Data for "Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics"

description: - **`datasets`**: Includes `train.xyz` and `test.xyz`, which are utilized for training and testing the NEP model presented in the paper.

- **`nep-model`**: Contains details of the trained NEP model, including source data for trained energies, forces, and virials, as well as test errors. Additionally, Matlab scripts for plotting Fig. 1 and the trained NEP model are provided.

- **`NP-C-samples`**: Contains NP-C snapshots generated at densities of 0.3, 0.5, 1, and 1.5 g/cc. These snapshots are visualized in Fig. 3(a-d) of the paper.

- **`a-C-samples`**: Contains a-C snapshots generated at densities of 1.5, 2.5, and 3.5 g/cc. These snapshots are visualized in Fig. 3(e-g) of the paper.

- **`hnemd-NP-C`**: Includes input and output files for HNEMD calculations of NP-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(a-d) and Fig. 6(a) in the paper.

- **`hnemd-a-C`**: Includes input and output files for HNEMD calculations of a-C at various densities, along with relevant Matlab scripts for plotting Fig. 7(e-h) and Fig. 6(b) in the paper.

- **`nemd-NP-C`**: Provides input and output files for NEMD calculations of NP-C at various densities, as well as Matlab scripts for plotting Fig. S4 in the supplementary information.

- **`nemd-a-C`**: Provides input and output files for NEMD calculations of a-C at various densities, as well as Matlab scripts for plotting Fig. S5 in the supplementary information.

- **`MFP-NP-C`**: Contains scripts for processing and plotting MFPs of NP-C as shown in Fig. 8(a).

- **`MFP-a-C`**: Contains scripts for processing and plotting MFPs of a-C as shown in Fig. 8(b).

- **`ccf-NP-C`**: Contains NP-C outputs of current correlation functions as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts.

- **`ccf-a-C`**: Contains a-C outputs of current correlation function as implemented in `Dynasor` code, and the relevant post-processing and plotting scripts.

- **`VDOS`**: Contains VDOS calcualtion for NP-C and a-C at 1.5 g/cc.

- **`kappa-size-effect`**: Effect of thermal conductivity on model size. 1.5 g/cc NP-C and 3.5 g/cc a-C are selected for the HNEMD calculations.

- **`diamond-kappa`**: thermal conductivity as a function of HNEMD production time for diamond.
DOI: 10.15468/dl.nhys3t
title: Occurrence Download

description: A dataset containing 7440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Crex crex (Linnaeus, 1758)"
 ]
}

 The dataset includes 7440 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029741-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14382409
title: Crystal structures and hkl data associated with paper 'Managing negative linear compressibility and thermal expansion through steric hindrance: a case study of 1,2-bis(4'-pyridyl)ethane cocrystals'
DOI: 10.5281/zenodo.14382410
title: Crystal structures and hkl data associated with paper 'Managing negative linear compressibility and thermal expansion through steric hindrance: a case study of 1,2-bis(4'-pyridyl)ethane cocrystals'
DOI: 10.15468/dl.a9maev
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prospero elisae Speta, Scilla elisae (Speta) Valdés)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029742-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6u59j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ferula foetida (Bunge) Regel"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029743-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14363504
title: BeBOD projections of prevalence, and years lived with disability for 33 causes, 2013-2040

description: Belgian National Burden of Disease Study

Projections

To produce these projections, we used a Bayesian modeling approach via Integrated Nested Laplace Approximation (INLA) to analyze past trends and extend them into future estimates. An automated model selection process identified the best-fitting model for each disease, ensuring robust and accurate projections. Additionally, population projections from the Federal Planning Bureau were incorporated to account for expected changes in population structure, allowing us to anticipate shifts in disease prevalence and Years Lived with Disability (YLD) across age, sex, and regional categories. More details on the applied methodology can be found in the BeBOD projection protocol.

Estimates of the burden of disease

Prevalence

Our estimates are based on the GBD cause list for morbidity by IHME. We first select for each of the 33 causes, the most suitable local data source as described in the general protocol. Next, we calculate the prevalence by year, region, age, and sex, to obtain a prevalence for each of the included diseases.

Years Lived with Disability

In addition to calculating the number of prevalent cases, we also calculate Years Lived with Disability (YLDs) as a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs.
description: For more information on the RDS format, please see https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/readRDS

Explore the estimates via https://burden.sciensano.be/shiny/projections
DOI: 10.5281/zenodo.14363505
title: BeBOD projections of prevalence, and years lived with disability for 33 causes, 2013-2040

description: Belgian National Burden of Disease Study

Projections

To produce these projections, we used a Bayesian modeling approach via Integrated Nested Laplace Approximation (INLA) to analyze past trends and extend them into future estimates. An automated model selection process identified the best-fitting model for each disease, ensuring robust and accurate projections. Additionally, population projections from the Federal Planning Bureau were incorporated to account for expected changes in population structure, allowing us to anticipate shifts in disease prevalence and Years Lived with Disability (YLD) across age, sex, and regional categories. More details on the applied methodology can be found in the BeBOD projection protocol.

Estimates of the burden of disease

Prevalence

Our estimates are based on the GBD cause list for morbidity by IHME. We first select for each of the 33 causes, the most suitable local data source as described in the general protocol. Next, we calculate the prevalence by year, region, age, and sex, to obtain a prevalence for each of the included diseases.

Years Lived with Disability

In addition to calculating the number of prevalent cases, we also calculate Years Lived with Disability (YLDs) as a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs.
description: For more information on the RDS format, please see https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/readRDS

Explore the estimates via https://burden.sciensano.be/shiny/projections
DOI: 10.15468/dl.7s5qgp
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus cocomilia Ten., Prunus ursina f. leioclada Bornm., Prunus pseudoarmeniaca Heldr. & Sartori ex Boiss., Prunus pseudoarmeniaca var. puberula C.K.Schneid., Prunus cocumilia Ten., Prunus pseudoarmeniaca Heldr. & Sart., Prunus brutia N.Terracc., Prunus ursina f. glaberrima Bornm., Prunus cocomilia var. typica Fiori, Prunus ursina Kotschy, Prunus coccumilia Ten. ex Asch. & Graebn., Prunus cocomilia var. puberula (C.K.Schneid.) Browicz, Prunus cocomilia var. brutia (N.Terracc.) Fiori, Prunus divaricata subsp. ursina (Kotschy) Browicz, Prunus cerasifera var. ursina (Kotschy) Eremin & Garkov.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029745-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfqn9z
title: Occurrence Download

description: A dataset containing 941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnebia guttata Bunge"
 ]
}

 The dataset includes 941 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029744-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s94wn2
title: Occurrence Download

description: A dataset containing 7440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Crex crex (Linnaeus, 1758)"
 ]
}

 The dataset includes 7440 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029746-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knpr2r
title: Occurrence Download

description: A dataset containing 929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grimmia atrata Miel. ex Hornsch."
 ]
}

 The dataset includes 929 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029747-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mj3wbe
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia balansae Briq."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029748-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14382421
title: Beamtime_P61A_11019898

description: The relaxation of sursurface residual stress in CM247 samples produced by PBF-LB was observed at P61A beamline DESY.
DOI: 10.5281/zenodo.14382422
title: POLDI_beamtime_P20230612

description: The lattice parameters changes with heating of CM247 samples produced by PBF-LB were monitored on POLDI beamline in oder to understand the formation of new phases and residual stress relaxation.
DOI: 10.5281/zenodo.14382524
title: Beamtime_P61A_11019898

description: The relaxation of sursurface residual stress in CM247 samples produced by PBF-LB was observed at P61A beamline DESY.
DOI: 10.15468/dl.mnetqa
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus webbii (Spach) Fritsch, Amygdalus salicifolia Boiss. & Balansa, Amygdalus trabutii A.Chev., Amygdalus webbii var. pubescens Bornm., Amygdalus webbii var. reticulata Bornm., Amygdalus webbii Spach, Amygdalus webbii var. salicifolia (Boiss. & Balansa) Boiss., Prunus webbii (Spach) Vierh.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 53 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029749-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.