cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4b88nggzf8
title: Global Database of Foraminiferal Organic Linings: ForamL Version 1.4

description: This ForamL Version 1.4 database provides an updated and expanded compilation of references to images of Foraminiferal Organic Linings documented in the extant scientific literature (see Godos et al., 2021, 2024). All organic linings included originate either from recent marine environments or sedimentary rock samples collected on a global scale. The prior review of these sources resulted in a dataset comprising 186 publications, illustrating a total of 821 foraminiferal organic linings. Here, we present an updated version of the ForamL database, which includes 35 additional images that were not published in the ForamL 1.3 (Godos et al., 2024). In total, 856 organic linings have been classified according to supraordinal groups within the phylum Foraminifera (Pawlowski et al., 2013), as well as categorized by fundamental morphological chamber arrangement types. The database is structured into three tables, spanning the entire Phanerozoic, subdivided into Cenozoic, Mesozoic, and Paleozoic erathems/eras, and further devided by systems/periods, including the ;modern period” and older intervals. The “modern period” is an informal, artificial, short temporal category, encompassing foraminiferal organic linings derived from natural settings, including both living and dead material. This category also comprises subfossil remains present in marine sediments that lack full fossilization, representing geologically recent deposits not qualifying as true fossils. For each geological system, referenced scientific publications are organized chronologically. The primary criterion for inclusion in this analysis was the sample preparation methodology, focusing on studies that applied palynological techniques. These involve treating samples initially with hydrochloric acid to dissolve carbonate fractions, followed by hydrofluoric acid to eliminate silicate components. Subsequently, the organic residue was sieved through meshes of 10, 15, or 20 μm to isolate larger organic particles, including palynomorphs containing foraminiferal organic linings, for the preparation of palynological slides. Most studies identified organic residues using optical microscopy, which was often enhanced by analogue or digital imaging. Some researchers employed scanning electron microscopy as a complementary imaging tool. Analysis of the database reveals an increasing trend in the number of documented organic linings from older to younger stratigraphic intervals. The highest frequency of foraminiferal organic linings per 10 million years is observed in the Cenozoic, followed by the Mesozoic, and then the Paleozoic. This pattern extends into the “modern period,” which includes 164 specimens accumulated over the 68 years span represented in the referenced literature. However, this apparent increase reflects a methodological artifact caused by comparing the relatively narrow modern timeframe with the vast scale of geological history.
DOI: 10.17632/4b88nggzf8.1
title: Global Database of Foraminiferal Organic Linings: ForamL Version 1.4

description: This ForamL Version 1.4 database provides an updated and expanded compilation of references to images of Foraminiferal Organic Linings documented in the extant scientific literature (see Godos et al., 2021, 2024). All organic linings included originate either from recent marine environments or sedimentary rock samples collected on a global scale. The prior review of these sources resulted in a dataset comprising 186 publications, illustrating a total of 821 foraminiferal organic linings. Here, we present an updated version of the ForamL database, which includes 35 additional images that were not published in the ForamL 1.3 (Godos et al., 2024). In total, 856 organic linings have been classified according to supraordinal groups within the phylum Foraminifera (Pawlowski et al., 2013), as well as categorized by fundamental morphological chamber arrangement types. The database is structured into three tables, spanning the entire Phanerozoic, subdivided into Cenozoic, Mesozoic, and Paleozoic erathems/eras, and further devided by systems/periods, including the ;modern period” and older intervals. The “modern period” is an informal, artificial, short temporal category, encompassing foraminiferal organic linings derived from natural settings, including both living and dead material. This category also comprises subfossil remains present in marine sediments that lack full fossilization, representing geologically recent deposits not qualifying as true fossils. For each geological system, referenced scientific publications are organized chronologically. The primary criterion for inclusion in this analysis was the sample preparation methodology, focusing on studies that applied palynological techniques. These involve treating samples initially with hydrochloric acid to dissolve carbonate fractions, followed by hydrofluoric acid to eliminate silicate components. Subsequently, the organic residue was sieved through meshes of 10, 15, or 20 μm to isolate larger organic particles, including palynomorphs containing foraminiferal organic linings, for the preparation of palynological slides. Most studies identified organic residues using optical microscopy, which was often enhanced by analogue or digital imaging. Some researchers employed scanning electron microscopy as a complementary imaging tool. Analysis of the database reveals an increasing trend in the number of documented organic linings from older to younger stratigraphic intervals. The highest frequency of foraminiferal organic linings per 10 million years is observed in the Cenozoic, followed by the Mesozoic, and then the Paleozoic. This pattern extends into the “modern period,” which includes 164 specimens accumulated over the 68 years span represented in the referenced literature. However, this apparent increase reflects a methodological artifact caused by comparing the relatively narrow modern timeframe with the vast scale of geological history.
DOI: 10.17632/gy58pzjgmp
title: Upper Echelons Theory and the Digital Leap: Expert-Coded Leadership and Organizational Digitalization

description: This dataset accompanies the study “Upper Echelons Theory and the Digital Leap: Expert-Coded Leadership and Organizational Digitalization.” It provides a unique expert-coded view of how CEO digital expertise, top management team (TMT) diversity, and integration mechanisms influence digital innovation outcomes in leading global technology firms.

The dataset covers 12 firm-years (2023–2024) from six representative companies at the forefront of digital transformation: Intel, NVIDIA, Huawei, Tencent, SAP, and ASML. Three independent coders contributed to the evaluation process: (1) the current CEO of a Shenzhen software company (aggressive stance), (2) a retired U.S. semiconductor CEO (conservative stance), and (3) a European scholar specialized in Upper Echelons Theory (moderate stance). This triangulated approach reduces bias and improves construct validity.

Variables include:

CEO Digital Expertise: five dimensions (human capital depth, track record of digital value creation, boundary spanning with IT leaders, governance of digital/data/AI risk, and centralization stance).

TMT Diversity: size, functional heterogeneity (Blau index), gender diversity.

Integration Mechanisms: presence of CIO/CDO/CTO roles, digital councils, and ecosystem partnerships.

Digital Innovation Outcomes: digital patent families, product/feature releases, digital revenue share, process digitization milestones.

Controls: firm age, size, R&D intensity, industry volatility.

Contents:
The dataset consists of three main workbooks (Coder A, B, C), each containing:

Coding_Sheet: ratings per firm-year, including formulas for indices.

TMT_Roster: member-level data (local and common names, function category, gender, source URL).

Roster_Calcs: auto-calculated measures of TMT size, Blau index, and share female.

Rubric & Instructions: coding anchors and coder-specific guidance.

Usefulness:
This dataset is valuable for scholars in strategic management, leadership, and digital transformation. It offers a replicable, transparent method to operationalize Upper Echelons Theory beyond demographics and surveys, enabling the study of substantive expertise and team integration. Researchers can reuse the coding rubric, adapt the roster approach to other industries, or extend the methodology with automated coding (e.g., NLP, machine learning). The multi-rater structure also allows for intercoder reliability analysis, an uncommon but critical step in leadership research.

This dataset directly supports the empirical analysis presented in the associated article, offering open and replicable materials for future comparative, cross-industry, and longitudinal studies.
DOI: 10.58060/2cz0-wv60
title: EVA project # 234 – 2025-01-24 Detection and climate-change attribution of plant diversity changes in calcareous grasslands - H. Werle, T. Conradi
title: SELECTION 2025-10-01

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.17632/gy58pzjgmp.1
title: Upper Echelons Theory and the Digital Leap: Expert-Coded Leadership and Organizational Digitalization

description: This dataset accompanies the study “Upper Echelons Theory and the Digital Leap: Expert-Coded Leadership and Organizational Digitalization.” It provides a unique expert-coded view of how CEO digital expertise, top management team (TMT) diversity, and integration mechanisms influence digital innovation outcomes in leading global technology firms.

The dataset covers 12 firm-years (2023–2024) from six representative companies at the forefront of digital transformation: Intel, NVIDIA, Huawei, Tencent, SAP, and ASML. Three independent coders contributed to the evaluation process: (1) the current CEO of a Shenzhen software company (aggressive stance), (2) a retired U.S. semiconductor CEO (conservative stance), and (3) a European scholar specialized in Upper Echelons Theory (moderate stance). This triangulated approach reduces bias and improves construct validity.

Variables include:

CEO Digital Expertise: five dimensions (human capital depth, track record of digital value creation, boundary spanning with IT leaders, governance of digital/data/AI risk, and centralization stance).

TMT Diversity: size, functional heterogeneity (Blau index), gender diversity.

Integration Mechanisms: presence of CIO/CDO/CTO roles, digital councils, and ecosystem partnerships.

Digital Innovation Outcomes: digital patent families, product/feature releases, digital revenue share, process digitization milestones.

Controls: firm age, size, R&D intensity, industry volatility.

Contents:
The dataset consists of three main workbooks (Coder A, B, C), each containing:

Coding_Sheet: ratings per firm-year, including formulas for indices.

TMT_Roster: member-level data (local and common names, function category, gender, source URL).

Roster_Calcs: auto-calculated measures of TMT size, Blau index, and share female.

Rubric & Instructions: coding anchors and coder-specific guidance.

Usefulness:
This dataset is valuable for scholars in strategic management, leadership, and digital transformation. It offers a replicable, transparent method to operationalize Upper Echelons Theory beyond demographics and surveys, enabling the study of substantive expertise and team integration. Researchers can reuse the coding rubric, adapt the roster approach to other industries, or extend the methodology with automated coding (e.g., NLP, machine learning). The multi-rater structure also allows for intercoder reliability analysis, an uncommon but critical step in leadership research.

This dataset directly supports the empirical analysis presented in the associated article, offering open and replicable materials for future comparative, cross-industry, and longitudinal studies.
DOI: 10.15468/dl.dvkjbm
title: Occurrence Download

description: A dataset containing 4587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coeligena bonapartei (Boissonneau, 1840)"
 ]
}

 The dataset includes 4587 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026752-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyn9wc
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Isotopic and elemental composition of primary producers in the Patos Lagoon estuary"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026753-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msuhsc
title: Occurrence Download

description: A dataset listing the 1083 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "Geometry POLYGON((32.00778 -25.64665,32.11641 -25.68803,32.22504 -25.79149,32.29228 -25.79149,32.28194 -25.87425,32.44229 -25.76045,32.49402 -25.67251,32.56127 -25.69321,32.56127 -25.58458,32.50954 -25.52251,32.57678 -25.36215,32.6492 -25.30525,32.55092 -25.22249,32.50437 -25.27421,32.44229 -25.25352,32.43712 -25.18111,32.38022 -25.13972,32.38022 -24.96385,32.41126 -24.90178,32.30263 -24.81384,32.19918 -24.76729,32.00261 -24.75694,32.0233 -25.01558,32.02847 -25.22766,32.01296 -25.38284,31.97157 -25.44491,31.98192 -25.52251,32.00778 -25.64665))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1083 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026731-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhgrxq
title: Occurrence Download

description: A dataset listing the 188346 species recorded in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset's 188346 records were derived from 4467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026732-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8hrkp
title: Occurrence Download

description: A dataset containing 4523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cotoneaster dielsianus E.Pritz.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4523 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009428-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10940672
title: Global leaf inclination angle (LIA) and nadir leaf projection function (G(0)) products

description: Leaf inclination angle (LIA), the angle between leaf surface normal and zenith directions, is a vital parameter in radiative transfer, rainfall interception, evapotranspiration, photosynthesis, and hydrological processes. In the radiative transfer regime, LIA is generally represented by the leaf projection function (G(θ)), which is defined as the average projection ratio of unit leaf area in the illumination or viewing direction θ.

This dataset (CAS-GLA) includes the first global mean LIA (MLA) and nadir leaf projection function (G(0)) products at the spatial resolutions of 500 m and 0.05 degrees. The products are recorded in GeoTIFF format under the WGS-84 geographic coordinate system. The global 500 m MLA product was generated by gap-filling LIA measurement data using a random forest regressor after a series of preprocessing, such as spatial expansion, LIA upscaling, and sample screening. Cross-validation shows that the predicted MLA presents a medium consistency (r = 0.75, RMSE = 7.15°) with the validation samples. The 500 m MLA product was further upscaled to 0.05 degrees by weighting the MODIS 500 m leaf area index. The G(0) product was derived from the MLA by assuming a single-parameter ellipsoidal leaf angle distribution. The G(0) product agrees moderately with high-resolution reference data (r = 0.62, RMSE = 0.15). Note the global MLA and G(0) products mainly represent the typical state during the growing season from 2001 to 2022. The MLA and G(0) products would enhance our knowledge about global LIA and should greatly facilitate remote sensing retrieval and land surface modeling studies.

In the version 1.1, two quality layers were added to 500 m MLA product to represent the quality of input data and the prediction model. The input data quality was denoted by the proportion of high-quality BRDF inversions for each pixel. The prediction model quality was represented qualitatively for each pixel considering whether the MLA was predicted by extrapolating beyond the range of the training samples. In the 500 m MLA product, the three bands sequentially store MLA, input data quality (scale factor = 0.01), and model quality (1: predictions within the range of samples; 0: predictions out of the range of samples).
DOI: 10.5281/zenodo.10940673
title: Global leaf inclination angle (LIA) and nadir leaf projection function (G(0)) products

description: Leaf inclination angle (LIA), the angle between leaf surface normal and zenith directions, is a vital parameter in radiative transfer, rainfall interception, evapotranspiration, photosynthesis, and hydrological processes. In the radiative transfer regime, LIA is generally represented by the leaf projection function (G(θ)), which is defined as the average projection ratio of unit leaf area in the illumination or viewing direction θ.

This dataset includes the first global mean LIA (MLA) and nadir leaf projection function (G(0)) products at the spatial resolutions of 500 m and 0.05 degrees. The products are recorded in GeoTIFF format under the WGS-84 geographic coordinate system. The global 500 m MLA product was generated by gap-filling LIA measurement data using a random forest regressor after a series of preprocessing, such as spatial expansion, LIA upscaling, and sample screening. The 500 m MLA product was further upscaled to 0.05 degrees by weighting the MODIS 500 m leaf area index. The G(0) product was derived from the MLA by assuming a single-parameter ellipsoidal leaf angle distribution. The G(0) product agrees moderately with high-resolution reference data (r = 0.62, RMSE = 0.15). Note the global MLA and G(0) products mainly represent the typical state during the growing season from 2001 to 2022. The MLA and G(0) products would enhance our knowledge about global LIA and should greatly facilitate remote sensing retrieval and land surface modeling studies.
DOI: 10.15468/dl.quc697
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capillipedium alpinum H.Sun & Boufford"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009430-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w78sw6
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luffa acutangula (L.) Roxb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 203 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009429-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tja55e
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cupressus atlantica Gaussen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016955-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt8qyc
title: Occurrence Download

description: A dataset containing 5964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cuscuta epithymum (L.) L.",
 "Year 1950-2025"
 ]
}

 The dataset includes 5964 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016954-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.34598.86085
title: 35ª Jornada Acadêmica Integrada INVESTIGAÇÃO AB INITIO DA MUDANÇA DE ESTABILIDADE EM CLUSTERS DE RU 13 , RH 13 , PD 13 , E AG 13 PROTEGIDOS POR CO
DOI: 10.13140/rg.2.2.33862.60486
title: Validation d’un critère énergétique basé sur la mesure expérimentale du CTOD pour la fissuration en fatigue de l’acier forgé 4130
DOI: 10.13140/rg.2.2.36358.29767
title: ISBC-2012 Koksharov presentation: Combined effect of mutations stabilizing green and red emitters on bioluminescence of firefly luciferase
DOI: 10.13140/rg.2.2.29338.98248
title: EFECTOS DE CONTAMINANTES ATMOSFÉRICOS EN ENFERMEDADES RESPIRATORIAS EN PUDAHUEL. ESTUDIO DE SERIES CON INTERACCIÓN OZONO-TEMPERATURA
DOI: 10.13140/rg.2.2.11744.00009
title: eenkindwilnietindestoel
DOI: 10.15468/dl.7gf9kc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-7.5 -60,0 -60,0 -52.5,-7.5 -52.5,-7.5 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042983-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.31201.84322
title: Peut-on enseigner les mathématiques en jouant? Learn mathematics by "playing"? [french]
DOI: 10.13140/rg.2.2.11601.25442
title: DNA Kmer Generator using Python 3.5
DOI: 10.13140/rg.2.2.20765.74726
title: An interactive Tool for Conducting Expert Judgement with AHP
DOI: 10.13140/rg.2.2.21125.35043/2
title: Brazilian IT Company Revenues and Employment per Year From Secondary Sources