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

description: A dataset containing 1957716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2015-2025"
 ]
}

 The dataset includes 1957716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020449-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12704068
title: Gaia DR3 asteroid reflectance spectra: L-type families, memberships and ages

description: The Gaia Data Release 3 (DR3) contains reflectance spectra at visible wavelengths for 60,518 asteroids over the range between 374-1034 nm, representing a large sample that is well suited to studies of asteroid families.

We wanted to assess the potential of Gaia spectra in identifying asteroid family members. Here, we focus on two L-type families, namely Tirela/Klumpkea and Watsonia. These families are known for their connection to Barbarian asteroids, which are potentially abundant in calcium-aluminum rich inclusions (CAIs).

The method we developed to establish family memberships is based (1) on a color taxonomy specifically built on Gaia data and (2) on the similarity of spectra of candidate members with the template spectrum of a specific family.

Our work demonstrates the advantage of combining the classical hierarchical clustering method (HCM) approach to spectral properties obtained by Gaia for the study of asteroid families. Future data releases are expected to further expand the capabilities in this domain.

The memberships for the Tirela/Klumpkea and Watsonia families are reported here. The columns report, from left to right: the identifier of the asteroid, the absolute magnitude, the proper elements (semi-major axis, eccentricity and sine of the inclination, taken from AFP, Novaković et al., 2022), NEOWISE albedo (Masiero et al., 2011) and spectral type from our color taxonomy. For the objects that are not directly classified into the S and L classes, their most probable spectral type is also reported.
DOI: 10.5281/zenodo.12704069
title: Gaia DR3 asteroid reflectance spectra: L-type families, memberships and ages

description: The Gaia Data Release 3 (DR3) contains reflectance spectra at visible wavelengths for 60,518 asteroids over the range between 374-1034 nm, representing a large sample that is well suited to studies of asteroid families.

We wanted to assess the potential of Gaia spectra in identifying asteroid family members. Here, we focus on two L-type families, namely Tirela/Klumpkea and Watsonia. These families are known for their connection to Barbarian asteroids, which are potentially abundant in calcium-aluminum rich inclusions (CAIs).

The method we developed to establish family memberships is based (1) on a color taxonomy specifically built on Gaia data and (2) on the similarity of spectra of candidate members with the template spectrum of a specific family.

Our work demonstrates the advantage of combining the classical hierarchical clustering method (HCM) approach to spectral properties obtained by Gaia for the study of asteroid families. Future data releases are expected to further expand the capabilities in this domain.

The memberships for the Tirela/Klumpkea and Watsonia families are reported here. The columns report, from left to right: the identifier of the asteroid, the absolute magnitude, the proper elements (semi-major axis, eccentricity and sine of the inclination, taken from AFP, Novaković et al., 2022), NEOWISE albedo (Masiero et al., 2011) and spectral type from our color taxonomy. For the objects that are not directly classified into the S and L classes, their most probable spectral type is also reported.
DOI: 10.5281/zenodo.15064500
title: Gaia DR3 asteroid reflectance spectra: L-type families, memberships and ages

description: The Gaia Data Release 3 (DR3) contains reflectance spectra at visible wavelengths for 60,518 asteroids over the range between 374-1034 nm, representing a large sample that is well suited to studies of asteroid families.

We wanted to assess the potential of Gaia spectra in identifying asteroid family members. Here, we focus on two L-type families, namely Tirela/Klumpkea and Watsonia. These families are known for their connection to Barbarian asteroids, which are potentially abundant in calcium-aluminum rich inclusions (CAIs).

The method we developed to establish family memberships is based (1) on a color taxonomy specifically built on Gaia data and (2) on the similarity of spectra of candidate members with the template spectrum of a specific family.

Our work demonstrates the advantage of combining the classical hierarchical clustering method (HCM) approach to spectral properties obtained by Gaia for the study of asteroid families. Future data releases are expected to further expand the capabilities in this domain.

The memberships for the Tirela/Klumpkea and Watsonia families are reported here. The columns report, from left to right: the identifier of the asteroid, the absolute magnitude, the proper elements (semi-major axis, eccentricity and sine of the inclination, taken from AFP, Novaković et al., 2022), NEOWISE albedo (Masiero et al., 2011) and spectral type from our color taxonomy. For the objects that are not directly classified into the S and L classes, their most probable spectral type is also reported.
DOI: 10.15468/dl.svtemw
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crypticerya genistae (Hempel, 1912)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020463-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15058869
title: Dataset for asphalt mixtures' stiffness modulus prediction using a machine-learning approach based on temperature and frequency conditions within Weave-UNISONO 2021 project, NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K

description: Summary:

One selected Asphalt Concrete AC22 mixture was investigated in the four-point bending test (4PBT) method for stiffness modulus. The mixture was prepared using aggregate, a conventional grade bitumen, and filler. Their stiffness moduli (SM) were determined while samples were exposed to loading frequencies from 0.1 to 50 Hz, and testing temperatures ranged from 0 to 30 °C. The laboratory results were used to train a neural model that had temperature and frequency as inputs and stiffness as output.

 

The dataset includes:

 

Outcomes of the 4PBT experimental carried out on AC22 mixture



Stiffness Modulus AC22 0°C.csv

Stiffness Modulus AC22 10°C.csv

Stiffness Modulus AC22 15°C.csv

Stiffness Modulus AC22 20°C.csv

Stiffness Modulus AC22 30°C.csv
description: This research was conceptualized and developed as part of activities related to project GA22-04047K, funded by The Czech Scientific Foundation (GACR), and project No. 2021/03/Y/ST8/00079, funded by the Polish National Science Centre (NCN) under the Weave-UNISONO 2021. The dataset was used for analyses for the conference paper titled "Asphalt Mixtures’ Stiffness Modulus Prediction Using a Machine-Learning Approach Based on Temperature and Frequency Conditions" which is available at https://doi.org/10.1201/9781003402541-107
DOI: 10.5281/zenodo.15058870
title: Dataset for asphalt mixtures' stiffness modulus prediction using a machine-learning approach based on temperature and frequency conditions within Weave-UNISONO 2021 project, NCN project No 2021/03/Y/ST8/00079, and GACR project GA22-04047K

description: Summary:

One selected Asphalt Concrete AC22 mixture was investigated in the four-point bending test (4PBT) method for stiffness modulus. The mixture was prepared using aggregate, a conventional grade bitumen, and filler. Their stiffness moduli (SM) were determined while samples were exposed to loading frequencies from 0.1 to 50 Hz, and testing temperatures ranged from 0 to 30 °C. The laboratory results were used to train a neural model that had temperature and frequency as inputs and stiffness as output.

 

The dataset includes:

 

Outcomes of the 4PBT experimental carried out on AC22 mixture



Stiffness Modulus AC22 0°C.csv

Stiffness Modulus AC22 10°C.csv

Stiffness Modulus AC22 15°C.csv

Stiffness Modulus AC22 20°C.csv

Stiffness Modulus AC22 30°C.csv
description: This research was conceptualized and developed as part of activities related to project GA22-04047K, funded by The Czech Scientific Foundation (GACR), and project No. 2021/03/Y/ST8/00079, funded by the Polish National Science Centre (NCN) under the Weave-UNISONO 2021. The dataset was used for analyses for the conference paper titled "Asphalt Mixtures’ Stiffness Modulus Prediction Using a Machine-Learning Approach Based on Temperature and Frequency Conditions" which is available at https://doi.org/10.1201/9781003402541-107
DOI: 10.5281/zenodo.15064442
title: Datasets for GTN materials on 1H-NMR-based metabolomic data processing

description: These data come from the Ph.D. of Unai Escribano-Vazquez (https://theses.hal.science/tel-02866073) and were generated in the lab of Claire Cherbuy (Micalis Institute, Jouy-en-Josas, France).

The intestinal microbiota is involved in the regulation of several metabolic pathways of the host, leading to important host-microbiota interaction axes such as those involved in metabolic signalling and immune/inflammatory responses. This microbial community has the enzymatic machinery necessary to metabolize nutriments coming from diet, and is a key factor of the host's energetic metabolism. Fat consumption has increased considerably in recent decades. This high consumption of fat is harmful for health. On a high fat diet, the intestinal microbiota is in a dysbiotic state.

The objective of this study was to investigate the impact of a bacterial species, E. coli, which increases during fat consumption, on the metabolomic trajectory of mono-associated mice fed a standard and high fat diet. Two strains of E. coli were used in our study: the CEC15 strain we previously isolated from freshly pooled faecal samples of 15-day-old suckling rodents and the Nissle 1917 strain, as a representative member of the B2 E. coli phylogroup that has shown to increase in the human gut microbiote during the last decades.

In this tutorial, we used samples collected on male C57b mice with Germ Free+Nissle1917 or Conventionally microbiota, who underwent a High fat diet. We performed 1-H NMR analysis on this samples.
DOI: 10.5281/zenodo.15064443
title: Datasets for GTN materials on 1H-NMR-based metabolomic data processing

description: These data come from the Ph.D. of Unai Escribano-Vazquez (https://theses.hal.science/tel-02866073) and were generated in the lab of Claire Cherbuy (Micalis Institute, Jouy-en-Josas, France).

The intestinal microbiota is involved in the regulation of several metabolic pathways of the host, leading to important host-microbiota interaction axes such as those involved in metabolic signalling and immune/inflammatory responses. This microbial community has the enzymatic machinery necessary to metabolize nutriments coming from diet, and is a key factor of the host's energetic metabolism. Fat consumption has increased considerably in recent decades. This high consumption of fat is harmful for health. On a high fat diet, the intestinal microbiota is in a dysbiotic state.

The objective of this study was to investigate the impact of a bacterial species, E. coli, which increases during fat consumption, on the metabolomic trajectory of mono-associated mice fed a standard and high fat diet. Two strains of E. coli were used in our study: the CEC15 strain we previously isolated from freshly pooled faecal samples of 15-day-old suckling rodents and the Nissle 1917 strain, as a representative member of the B2 E. coli phylogroup that has shown to increase in the human gut microbiote during the last decades.

In this tutorial, we used samples collected on male C57b mice with Germ Free+Nissle1917 or Conventionally microbiota, who underwent a High fat diet. We performed 1-H NMR analysis on this samples.
DOI: 10.48366/r1368153
title: 3D In Vitro Models for Implant-Associated Infections

description: Despite the success of implants in many medical disciplines, implant-associated infections can cause severe illnesses in patients. Due to demographic change and medical progress, the number of patients with implants will increase, making the problem increasingly significant. The treatment options of those infections are being made even worse by the high prevalence of antibiotic resistance. To develop new diagnostic methods and treatment strategies, a better understanding of the host-bacteria-implant interaction is necessary. Advanced 3D in vitro models can provide answers to a wide range of biological questions concerning this approach. They can not only help to understand the biology behind implant-associated infections but also help to develop and investigate new implant materials as well as diagnostic approaches. Therefore, this work aims to compare the current 3D in vitro models for implant-associated infections that include and analyze the interaction of cells in a 3D culture, infection relevant bacterial strains and an implant material.
DOI: 10.5281/zenodo.15064364
title: Dataset from Mannerfelt et al. (2025): Tracking glacier surge evolution using interferometric SAR coherence — examples from Svalbard

description: Attached are output data for Mannerfelt et al. (2025): Tracking glacier surge evolution using interferometric SAR1 coherence — examples from Svalbard.

 

Further explanations for how these data were used/created are in the code of the repository: https://github.com/erikmannerfelt/IncoherentSurges

 



Glacier front positions (front_positions.zip)

Glacier centerlines (centerlines.geojson) 

Maximum extent glacier outlines (largest_extent_glacier_outlines.geojson)

Low-coherence zone polygons (low_coh_zones.geojson)

Low-coherence boundary lines (low_coh_boundaries.geojson)

Glacier surge statistics table (surge_stats_with_geometric.csv)

Glacier surge statistics points (surge_stats_with_geometric.geojson)

Glacier location points (glaciers.geojson)

Full-resolution figures (mannerfelt2025_tracking_fig<number>.{jpg,png})


Notes:



The low-coherence zone polygons were only used for plotting (Fig. 2). The boundary lines are the data from which statistics were derived

The glacier points are translatable to RGI ids through spatial joins.

Glacier front positions are derived from Sentinel-1 SAR data if the date corresponds to a S1 acquisition date. Otherwise it is from Sentinel-2 optical data.

The surge statistics table/points are outputs from the code (level-2 data). The rest are made from image interpretations in QGIS (level-1-ish data).

The unit of the *_rate variables in the surge statistics table/points is meters per day. The variables zrange, area_km2, lmax_m, slope_deg and tidewater are taken from RGI7.
DOI: 10.5517/ccdc.csd.cc2l71rn
title: CCDC 2390061: Experimental Crystal Structure Determination

description: Related Article: E. Zmeškalová, F. Stara, T. Havlujová, M. Šoóš|2025|IUCrJ|12|141|doi:10.1107/S2052252525001009
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l71sp
title: CCDC 2390062: Experimental Crystal Structure Determination

description: Related Article: E. Zmeškalová, F. Stara, T. Havlujová, M. Šoóš|2025|IUCrJ|12|141|doi:10.1107/S2052252525001009
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l71tq
title: CCDC 2390063: Experimental Crystal Structure Determination

description: Related Article: E. Zmeškalová, F. Stara, T. Havlujová, M. Šoóš|2025|IUCrJ|12|141|doi:10.1107/S2052252525001009
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.xjdd9j
title: Occurrence Download

description: A dataset listing the 3262 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-4.5 39.8,-3 39.8,-3 41.2,-4.5 41.2,-4.5 39.8))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2020-2025"
 ]
}

 The dataset's 3262 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020460-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehps8t
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conoderus rufidens (Fabricius, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020467-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14bzqcz
title: Water Quality and Zooplankton Data from the Floating Wetland Experiment on Bouldin Island in the Sacramento-San Joaquin Delta, California

description: This data release includes water quality and zooplankton data collected concurrently with the Floating Wetland Experiment in the West Pond on Bouldin Island in the Sacramento-San Joaquin Delta. Data were collected to monitor water quality and zooplankton community composition before and after the installation of a floating tule wetland. The data were collected at a site near the floating wetland in the northern region and away from the wetland in the southeast region of the pond. There were four cages deployed at both sites with approximately 60 Delta Smelt (Hypomesus transpacificus) in each cage. Water quality and zooplankton samples were collected on six days between 1/30/2024 and 04/30/2024, the floating wetland was installed on 03/08/2024, and the cages with fish were deployed on 03/15/2024. Discrete water quality measurements included temperature, dissolved oxygen, turbidity, specific conductance, salinity, chlorophyll, and pH. Water samples were also collected and analyzed by the National Water Quality Laboratory for dissolved organic carbon, total particulate carbon, total particulate nitrogen, particulate inorganic carbon, and particulate organic carbon. Zooplankton were sampled using a Schindler-Patalas 12 liters (L) plankton trap with a 200 milliliters (mL) Dolphin bucket with 61 micron stainless mesh.
DOI: 10.15468/dl.6x6cxd
title: Occurrence Download

description: A dataset containing 28135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cannabis L."
 ]
}

 The dataset includes 28135 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020469-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/113365
title: Clumped isotope data from coccolith size fraction from sediment traps

description: This dataset contains d13C, d18O, and D47 (I-CDES) data from the coccolith size fraction derived from 15 filtered sediment traps, with 18 samples in total, from different ocean basins.
description: Clark, A.J., Jaggi, M., Bernasconi, S.M., Stoll, H.M., (2024), "Clumped isotope temperatures of coccolithophores from global sediment traps." Paleoceanography and Paleoclimatology.
DOI: 10.6084/m9.figshare.28639535
title: Table S4 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: ASV Read abundance table with alpha diversity metrics.
DOI: 10.6084/m9.figshare.28639535.v1
title: Table S4 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: ASV Read abundance table with alpha diversity metrics.
DOI: 10.6084/m9.figshare.28639538
title: Table S2 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Individual bee metadata, weight gain data, endpoint gut weights, total 16S rRNA copy number, nurse-forager designation.
DOI: 10.6084/m9.figshare.28639538.v1
title: Table S2 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Individual bee metadata, weight gain data, endpoint gut weights, total 16S rRNA copy number, nurse-forager designation.
DOI: 10.6084/m9.figshare.28639541.v1
title: Table S1 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Bacterial strains used in defined community cultures
DOI: 10.6084/m9.figshare.28639541
title: Table S1 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Bacterial strains used in defined community cultures
DOI: 10.6084/m9.figshare.28639544
title: Supplementary Material from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Table S5 v2.xlsx
DOI: 10.6084/m9.figshare.28639544.v1
title: Supplementary Material from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Table S5 v2.xlsx
DOI: 10.6084/m9.figshare.28639547
title: Table S3 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Primers and amplification protocols.
DOI: 10.6084/m9.figshare.28639547.v1
title: Table S3 from Lack of significant effect of gut microbiota on weight gain in newly emerged worker honey bees

description: Primers and amplification protocols.
DOI: 10.25824/redu/3yclis
title: Estudos sobre associação entre COVID-19 e AVC

description: Os dados referem-se a tese de doutorado, que gerou três produtos (artigos), uma metaumbrella review, estudo ecológico e projeto de intervenção.
DOI: 10.15468/dl.fy9t5z
title: Occurrence Download

description: A dataset containing 43837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((76.98798 11.67764,77.21996 11.67764,77.21996 11.97264,76.98798 11.97264,76.98798 11.67764))"
 ]
}

 The dataset includes 43837 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020470-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.