cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7fv6a3
title: Occurrence Download

description: A dataset containing 4408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.63247 12.96606,162.36753 12.96606,162.36753 74.03394,9.63247 74.03394,9.63247 12.96606))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elaphe dione"
 ]
}

 The dataset includes 4408 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007817-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18353730
title: LASD - Affecting Factor Analysis using AHP Methodology

description: This supplementary document provides methodological support for the paper entitled “Lean-Agile Software Development: Affecting Factors and a Roadmap for Adoption” . The materials presented here are intended to enhance transparency, reproducibility, and methodological clarity of the Analytical Hierarchy Process (AHP) employed in the study.                                                                            The main paper applies AHP as a multi-criteria decision-making technique to prioritize factors influencing the adoption of Lean-Agile Software Development Methodology under the Technology–Organization–Environment (TOE) framework.

Accordingly, this  document consolidates:  the AHP pairwise comparison questionnaire used to elicit expert judgments,  an illustrative example of a pairwise comparison matrix, and  a detailed explanation of the aggregation and consistency assessment procedures.  These materials are provided to allow readers and future researchers to understand, evaluate, and replicate the methodological approach adopted in the study. No raw or identifiable expert data are disclosed; only illustrative and aggregated methodological information is shared in accordance with ethical research practices.
DOI: 10.5281/zenodo.18353731
title: LASD - Affecting Factor Analysis using AHP Methodology

description: This supplementary document provides methodological support for the paper entitled “Lean-Agile Software Development: Affecting Factors and a Roadmap for Adoption” . The materials presented here are intended to enhance transparency, reproducibility, and methodological clarity of the Analytical Hierarchy Process (AHP) employed in the study.                                                                            The main paper applies AHP as a multi-criteria decision-making technique to prioritize factors influencing the adoption of Lean-Agile Software Development Methodology under the Technology–Organization–Environment (TOE) framework.

Accordingly, this  document consolidates:  the AHP pairwise comparison questionnaire used to elicit expert judgments,  an illustrative example of a pairwise comparison matrix, and  a detailed explanation of the aggregation and consistency assessment procedures.  These materials are provided to allow readers and future researchers to understand, evaluate, and replicate the methodological approach adopted in the study. No raw or identifiable expert data are disclosed; only illustrative and aggregated methodological information is shared in accordance with ethical research practices.
DOI: 10.15468/dl.aubyaw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paralepis speciosa",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007819-260120142942310/datasets/export for details.
DOI: 10.15468/dl.9mbke4
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.7 6.236135, 117.629322 6.230564, 117.560389 6.213988, 117.494902 6.186818, 117.434476 6.149722, 117.380601 6.103617, 117.334604 6.04964, 117.297617 5.989122, 117.270548 5.923554, 117.254062 5.854554, 117.248559 5.78382, 117.254173 5.713095, 117.270759 5.64412, 117.297907 5.578592, 117.334945 5.518123, 117.380959 5.4642, 117.434817 5.418149, 117.495192 5.381103, 117.5606 5.353971, 117.629433 5.33742, 117.7 5.331858, 117.770567 5.33742, 117.8394 5.353971, 117.904808 5.381103, 117.965183 5.418149, 118.019041 5.4642, 118.065055 5.518123, 118.102093 5.578592, 118.129241 5.64412, 118.145827 5.713095, 118.151441 5.78382, 118.145938 5.854554, 118.129452 5.923554, 118.102383 5.989122, 118.065396 6.04964, 118.019399 6.103617, 117.965524 6.149722, 117.905098 6.186818, 117.839611 6.213988, 117.770678 6.230564, 117.7 6.236135))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 473 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007820-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e45pz6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1805",
 "Year is less than or equal to 1809"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007823-260120142942310/datasets/export for details.
DOI: 10.15468/dl.a98var
title: Occurrence Download

description: A dataset containing 39948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Actias luna"
 ]
}

 The dataset includes 39948 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007821-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18219653
title: A new angle on stacking faults: Overcoming the edge-on limit in high-resolution defect analysis

description: This record contains datasets and code related to the publication:

N. Karpstein et al., A new angle on stacking faults: Overcoming the edge-on limit in high-resolution defect analysis (submitted to journal). A preprint has been uploaded to arXiv: doi:10.48550/arXiv.2506.15510

A readme file containing descriptions of datatypes can be found in the main folder.

 

This record has been updated (v2) to provide a separate Readme file with instructions and further details for the code, additional comments within the code, as well as a demo dataset on which the code can be tested.

A further update to v3 has been made to reflect changes and additions made in the new version of our manuscript. A link to older versions can be found on the right side.

 

Abstract:

The nature of stacking faults—whether intrinsic or extrinsic—plays a pivotal role in defect-mediated processes in crystalline materials. Yet, current electron microscopy techniques for their reliable analysis remain limited to either conventional fringe-contrast imaging of inclined faults or atomic-resolution imaging of edge-on configurations. Here, we overcome this dichotomy by introducing a high-resolution scanning transmission electron microscopy (HRSTEM) method that enables full structural discrimination of inclined stacking faults, as demonstrated for various faults in fcc, L1₂, and sphalerite crystals. This approach eliminates a long-standing geometric constraint on high-resolution analysis, providing comprehensive access to stacking faults on all glide planes along the widely used [001] and [110] zone axes. We demonstrate the robustness of the method in a CoNi-based superalloy, achieving clear discrimination of fault types even for overlapping configurations and foil thicknesses exceeding 100 nm. The analysis of bounding dislocations, revealing the fault’s formation mechanism, is also presented for inclined geometries. Simulations reveal that fault-induced de-channeling is key to contrast formation and is strongly governed by the fault’s depth within the sample. Leveraging this effect, we further establish a route to artificially generate ultrathin TEM lamellae—bounded by the stacking fault itself—thereby enhancing contrast for atomic-scale studies of long-range ordering, compositional fluctuations, and nanoclustering.

 

Code is released under the MIT license, everything else is under the CC BY 4.0 license.
DOI: 10.5281/zenodo.14906582
title: A new angle on stacking faults: Overcoming the edge-on limit in high-resolution defect analysis

description: This record contains datasets and code related to the publication:

N. Karpstein et al., A new angle on stacking faults: Overcoming the edge-on limit in high-resolution defect analysis (submitted to journal). A preprint has been uploaded to arXiv: doi:10.48550/arXiv.2506.15510

A readme file containing descriptions of datatypes can be found in the main folder.

 

This record has been updated (v2) to provide a separate Readme file with instructions and further details for the code, additional comments within the code, as well as a demo dataset on which the code can be tested.

A further update to v3 has been made to reflect changes and additions made in the new version of our manuscript. A link to older versions can be found on the right side.

 

Abstract:

The nature of stacking faults—whether intrinsic or extrinsic—plays a pivotal role in defect-mediated processes in crystalline materials. Yet, current electron microscopy techniques for their reliable analysis remain limited to either conventional fringe-contrast imaging of inclined faults or atomic-resolution imaging of edge-on configurations. Here, we overcome this dichotomy by introducing a high-resolution scanning transmission electron microscopy (HRSTEM) method that enables full structural discrimination of inclined stacking faults, as demonstrated for various faults in fcc, L1₂, and sphalerite crystals. This approach eliminates a long-standing geometric constraint on high-resolution analysis, providing comprehensive access to stacking faults on all glide planes along the widely used [001] and [110] zone axes. We demonstrate the robustness of the method in a CoNi-based superalloy, achieving clear discrimination of fault types even for overlapping configurations and foil thicknesses exceeding 100 nm. The analysis of bounding dislocations, revealing the fault’s formation mechanism, is also presented for inclined geometries. Simulations reveal that fault-induced de-channeling is key to contrast formation and is strongly governed by the fault’s depth within the sample. Leveraging this effect, we further establish a route to artificially generate ultrathin TEM lamellae—bounded by the stacking fault itself—thereby enhancing contrast for atomic-scale studies of long-range ordering, compositional fluctuations, and nanoclustering.

 

Code is released under the MIT license, everything else is under the CC BY 4.0 license.
DOI: 10.15468/dl.wxg4um
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.402991 23.942625, 89.32615800000001 23.937048, 89.251237 23.920456, 89.180089 23.893262, 89.11448 23.85614, 89.056033 23.810014, 89.006192 23.756028, 88.966179 23.69552, 88.936972 23.629986, 88.919275 23.561048, 88.913506 23.490406, 88.91979000000001 23.419801, 88.937952 23.350971, 88.967528 23.285605, 89.007777 23.225307, 89.0577 23.171554, 89.11606500000001 23.125661, 89.181438 23.088751, 89.252217 23.061723, 89.326674 23.045238, 89.402991 23.039699, 89.479308 23.045238, 89.553765 23.061723, 89.624544 23.088751, 89.68991699999999 23.125661, 89.748282 23.171554, 89.798205 23.225307, 89.838454 23.285605, 89.86803 23.350971, 89.88619199999999 23.419801, 89.892476 23.490406, 89.886707 23.561048, 89.86901 23.629986, 89.839803 23.69552, 89.79979 23.756028, 89.749949 23.810014, 89.691502 23.85614, 89.625893 23.893262, 89.554745 23.920456, 89.47982399999999 23.937048, 89.402991 23.942625))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007824-260120142942310/datasets/export for details.
DOI: 10.15468/dl.fvu4bq
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenolophium fischeri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 499 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007825-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7an3xn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protomyctophum andriashevi",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007828-260120142942310/datasets/export for details.
DOI: 10.15468/dl.ym2vg4
title: Occurrence Download

description: A dataset containing 978 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.029 6.250135, 117.95832 6.244564, 117.889385 6.227988, 117.823896 6.200817, 117.763469 6.163722, 117.709592 6.117617, 117.663594 6.063639, 117.626606 6.003121, 117.599537 5.937554, 117.583051 5.868554, 117.577548 5.79782, 117.583162 5.727095, 117.599749 5.65812, 117.626897 5.592592, 117.663936 5.532123, 117.709952 5.4782, 117.76381 5.432149, 117.824187 5.395103, 117.889597 5.367971, 117.958431 5.35142, 118.029 5.345858, 118.099569 5.35142, 118.168403 5.367971, 118.233813 5.395103, 118.29419 5.432149, 118.348048 5.4782, 118.394064 5.532123, 118.431103 5.592592, 118.458251 5.65812, 118.474838 5.727095, 118.480452 5.79782, 118.474949 5.868554, 118.458463 5.937554, 118.431394 6.003121, 118.394406 6.063639, 118.348408 6.117617, 118.294531 6.163722, 118.234104 6.200817, 118.168615 6.227988, 118.09968 6.244564, 118.029 6.250135))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 978 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007829-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r375a6
title: Occurrence Download

description: A dataset containing 128072 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Michigan Museum of Zoology, Division of Mammals"
 ]
}

 The dataset includes 128072 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007813-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9ec7s
title: Occurrence Download

description: A dataset containing 240757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonia mydas"
 ]
}

 The dataset includes 240757 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007785-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gwr2d
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.99443 44.22579,3.99908 44.22579,3.99908 44.22931,3.99443 44.22931,3.99443 44.22579))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009653-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ahfr-yf57
title: "MultiCaRe: An open-source clinical case dataset for medical image classification and multimodal AI applications"

description: "The dataset contains multi-modal data from over 70,000 open access and de-identified case reports, including metadata, clinical cases, image captions and more than 130,000 images. Images and clinical cases belong to different medical specialties, such as oncology, cardiology, surgery and pathology. The structure of the dataset allows to easily map images with their corresponding article metadata, clinical case, captions and image labels. Details of the data structure can be found in the file data_dictionary.csv.More than 90,000 patients and 280,000 medical doctors and researchers were involved in the creation of the articles included in this dataset. The citation data of each article can be found in the metadata.parquet file.Refer to the examples showcased in this GitHub repository to understand how to optimize the use of this dataset.The license of the dataset as a whole is CC BY-NC-SA. However, its individual contents may have less restrictive license types (CC BY, CC BY-NC, CC0). For instance, regarding image filess, 66K of them are CC BY, 32K are CC BY-NC-SA, 32K are CC BY-NC, and 20 of them are CC0."
DOI: 10.34740/kaggle/dsv/11884304
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5061/dryad.dr7sqv9wb
title: PERMANOVA results from Principal component analysis of avian hind limb and foot morphometrics and the relationship between ecology and phylogeny

description: Principal component analysis has been used to test for similarities in
 ecology and life habit between modern and fossil birds, however, the two
 main portions of the hindlimb—the foot and the long bone elements—have not
 been examined separately. We examine the potential links between
 morphology, ecology, and phylogeny through a synthesis of phylogenetic
 paleoecological methods and morphospace analysis. Both hindlimb
 morphologies and species’ ecologies exhibit extreme phylogenetic clumping,
 although these patterns are at least partially explainable by a Brownian
 motion style of evolution. Some morphologies are strongly correlated with
 particular ecologies, while some ecologies are occupied by a variety of
 morphologies. Within the morphospace analyses, the length of the hallux
 (toe I) is the most defining characteristic of the entire hindlimb. The
 foot and hindlimb are represented on different axes when all measurements
 are considered in an analysis, suggesting that these structures undergo
 morphological change separately from each other. Early birds tend to
 cluster together, representing an unspecialized basal foot morphotype and
 a hindlimb reliant on hip-driven, not knee-driven, locomotion. Direct
 links between morphology, ecology, and phylogeny are unclear and
 complicated, and may be biased due to sample size (~60 species). This
 study should be treated as a preliminary analysis that further studies,
 especially those examining the vast diversity of modern birds, can build
 upon.
description: PERMANOVA results of morphological data as processed in R
DOI: 10.5061/dryad.9p8cz8wdb
title: Genetic, morphological, and niche variation in the widely hybridizing Rhus integrifolia-Rhus ovata species complex

description: Hybridization and introgression are common processes among numerous plant
 species that present both challenges and opportunities for studies of
 species delimitation, phylogenetics, taxonomy, and adaptation. Rhus
 integrifolia and R. ovata are two ecologically important shrubs native to
 the southwestern USA and Mexico, and are known to hybridize frequently,
 but the morphological, genetic, and ecological implications of
 hybridization in these species are poorly studied on a broad geographic
 scale. Analyses were conducted using leaf morphology, genetic variation of
 plastid and nuclear loci, and species distribution models for both species
 and their putative hybrid introgressants across 19 localities in
 California and Arizona, USA. These analyses revealed evidence for
 morphological and genetic distinction among localities comprising putative
 parental species, but a high degree of morpho-genetic intermediacy among
 localities with putative hybrids. Comparison of morphological and genetic
 population structure among localities revealed evidence for putative local
 adaptation or widespread phenotypic plasticity. Multiple regression models
 identified a weak but statistically significant negative association
 between leaf area and precipitation. Finally, species distribution
 modeling inferred northward range shifts over time, with both species
 predicted to occupy more coastal regions in the future, possibly
 increasing the frequency of hybridization among them. These findings
 underscore the importance of integrative assessment of multiple data
 sources in the study of hybridizing species and highlight the Rhus
 integrifolia-ovata complex as a powerful model for investigating the
 adaptive implications of hybridization.
description: Sequences were generated via PCR and Sanger sequencing. Sequences
 were processed and aligned in Geneious (MAFFT) and used to generate
 haplotype networks. Datasets are separate alignments of :
 1) plastid ndhC-trnV spacer, 2) plastid
 rpl16-rps3 spacer, 3) nuclear ITS. 
 NCBI GenBank accession numbers: MT722227-MT722942