cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15066072
title: The Rise of Bluesky

description: This repository contains the datasets required to reproduce the results presented in the paper "The Rise of Bluesky."



profile_creations.parquet.zip: Profile creation dates for each user (Fig.1a).

user_group_date_intervals.pickle.zip: The dates corresponding to each user group (Fig.1a).

total_engagement_by_day_by_user.parquet.zip: Daily total activity per user group (Fig.1b, d).

active_user_count_per_day_0_8.parquet.zip: Daily number of active users (Fig.1e, f).

summary_stats.zip: Files containing daily network statistics such as average degree and node count (Fig.1g).

group_degree_distributions.zip: Daily user group out-degree distributions (Fig.1g).

clustering_coef.parquet.zip: Clustering coefficients for follower network for each day (Fig.1h).

gini_and_kappa.zip: Daily Gini and Kappa statistics (Fig.1i).


Due to its large size, the dataset used to construct the follower network in Fig. 1c is not included here. However, it may be made available upon request under exceptional circumstances.
DOI: 10.5281/zenodo.15066073
title: The Rise of Bluesky

description: This repository contains the datasets required to reproduce the results presented in the paper "The Rise of Bluesky."



profile_creations.parquet.zip: Profile creation dates for each user (Fig.1a).

user_group_date_intervals.pickle.zip: The dates corresponding to each user group (Fig.1a).

total_engagement_by_day_by_user.parquet.zip: Daily total activity per user group (Fig.1b, d).

active_user_count_per_day_0_8.parquet.zip: Daily number of active users (Fig.1e, f).

summary_stats.zip: Files containing daily network statistics such as average degree and node count (Fig.1g).

group_degree_distributions.zip: Daily user group out-degree distributions (Fig.1g).

clustering_coef.parquet.zip: Clustering coefficients for follower network for each day (Fig.1h).

gini_and_kappa.zip: Daily Gini and Kappa statistics (Fig.1i).


Due to its large size, the dataset used to construct the follower network in Fig. 1c is not included here. However, it may be made available upon request under exceptional circumstances.
DOI: 10.15468/dl.3tfwn6
title: Occurrence Download

description: A dataset containing 51383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pusa hispida (Schreber, 1775)"
 ]
}

 The dataset includes 51383 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005305-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5qk8h
title: Occurrence Download

description: A dataset containing 65834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex limosa L.",
 "Year 1000-2025"
 ]
}

 The dataset includes 65834 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005308-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gbzhd
title: Occurrence Download

description: A dataset containing 212558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Country is Chile",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 212558 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005313-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qnyxm
title: Occurrence Download

description: A dataset containing 3323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Muscari neglectum Guss. ex Ten."
 ]
}

 The dataset includes 3323 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005318-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15101509
title: US CE in SAC Chile 2024
DOI: 10.5281/zenodo.15101510
title: US CE in SAC Chile 2024
DOI: 10.60629/46py-s635
title: Co-sensitization effects of indoline and carbazole dyes

description: <p>Co-sensitization of popular carbazole (MK2) and indoline (D205) dyes is studied by stationary absorption and emission, femtosecond transient absorption (in complete DSSC cells and in the solutions), current-voltage measurements, DFT and TD-DFT theoretical calculations.  </p>
description: <p>The data are related to the Open Access article Materials <strong>16</strong> (2023) 5352 (DOI: <a href="https://www.mdpi.com/1996-1944/15/21/7725#" target="_blank" style="color:rgb( 79 , 86 , 113 );background-color:rgb( 255 , 255 , 255 )" rel="nofollow noopener noreferrer">10.3390/ma15217725</a><span style="color:rgb( 34 , 34 , 34 )"> ) and </span>represent the Word document of the manuscript and supporting information with all plots editable using OriginPro software from OriginLab Corporation. </p>
DOI: 10.21227/2pht-hq54
title: RingMOSS: A Comprehensive Multi-Modal Pre- Training Datase

description: To establish a versatile RSFM adaptable to diverse tasks, RingMoE requires a comprehensive and diverse pre-training dataset that accounts for significant variations in imaging modalities, spatial resolutions, temporal dynamics, geographic regions, and scene complexities. To meet this challenge, we curate RingMOSS, a large-scale multi-modal RS dataset comprising 400 million images from nine satellite platforms, covering a broad spectrum of Earth observation scenarios.
DOI: 10.15468/dl.vqjvhf
title: Occurrence Download

description: A dataset containing 2632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is Fungi (S)"
 ]
}

 The dataset includes 2632 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005322-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9vxjd
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Culicoides paraensis (Goeldi, 1905)"
 ]
}

 The dataset includes 175 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005240-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zaw8b
title: Occurrence Download

description: A dataset containing 760165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratopogonidae"
 ]
}

 The dataset includes 760165 records from 622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020706-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14548540
title: Plant NonPlant Deep Learning Dataset

description: A test dataset of plant nonplant high resolution RGB images
DOI: 10.5281/zenodo.14548541
title: Plant NonPlant Deep Learning Dataset

description: A test dataset of plant nonplant high resolution RGB images
DOI: 10.5281/zenodo.14551915
title: Plant NonPlant Deep Learning Dataset

description: A test dataset of plant nonplant high resolution RGB images
DOI: 10.5281/zenodo.14552069
title: Plant NonPlant Deep Learning Dataset

description: A test dataset of plant nonplant high resolution RGB images
DOI: 10.5281/zenodo.14552211
title: Plant NonPlant Deep Learning Dataset

description: A test dataset of plant nonplant high resolution RGB images
DOI: 10.5281/zenodo.8116207
title: OCS fluxes from a coastal Antarctic tundra and soils measured by in situ static chamber method and lab-based jar incubations

description: The Antarctic tundra, dominated by non-vascular photoautotrophs (NVP) like mosses and lichens, serves as a vital habitat for sea animals, which contribute organic matter and oceanic sulfur to the land, potentially influencing sulfur transformations. Here, we measured OCS fluxes from the Antarctic tundra and linked them to soil biochemical properties.


This dataset therefore is collected from these experiments. It includes the figure source data associated with a peer-reviewed publication that is currently under review. Once the manuscript is published, the URL and DOI number will be provided here and this description will be updated accordingly.


Results revealed that the NVP-dominated upland tundra acted as an OCS sink (-1.0 ± 0.6 pmol m-2 s-1), driven by NVP and OCS-metabolizing enzymes from soil microbes (e.g., Acidobacteria, Verrucomicrobia, and Chloroflexi). In contrast, tundra within sea animal colonies exhibited OCS emissions (1.4 ± 0.4 pmol m-2 s-1), resulting from the introduction of organosulfur compounds that stimulated concurrent OCS production. Furthermore, sea animal colonization likely influenced OCS-metabolizing microbial communities and further promoted OCS production. Overall, this study highlighted the role of sea animal activities in shaping soil-atmospheric exchange of OCS through interacting with soil chemical properties and microbial compositions.
DOI: 10.5281/zenodo.8116208
title: OCS fluxes from a coastal Antarctic tundra and soils measured by in situ static chamber method and lab-based jar incubations

description: The Antarctic tundra, dominated by non-vascular photoautotrophs (NVP) like mosses and lichens, serves as a vital habitat for sea animals, which contribute organic matter and oceanic sulfur to the land, potentially influencing sulfur transformations. Here, we measured OCS fluxes from the Antarctic tundra and linked them to soil biochemical properties.


This dataset therefore is collected from these experiments. It includes the figure source data associated with a peer-reviewed publication that is currently under review. Once the manuscript is published, the URL and DOI number will be provided here and this description will be updated accordingly.


Results revealed that the NVP-dominated upland tundra acted as an OCS sink (-1.0 ± 0.6 pmol m-2 s-1), driven by NVP and OCS-metabolizing enzymes from soil microbes (e.g., Acidobacteria, Verrucomicrobia, and Chloroflexi). In contrast, tundra within sea animal colonies exhibited OCS emissions (1.4 ± 0.4 pmol m-2 s-1), resulting from the introduction of organosulfur compounds that stimulated concurrent OCS production. Furthermore, sea animal colonization likely influenced OCS-metabolizing microbial communities and further promoted OCS production. Overall, this study highlighted the role of sea animal activities in shaping soil-atmospheric exchange of OCS through interacting with soil chemical properties and microbial compositions.
DOI: 10.17632/7dgkfdkrhy.1
title: Test results

description: The plots of the uniaxial compression, triaxial compression and direct shear tests of the intact rock specimens.
DOI: 10.5281/zenodo.14548198
title: Dateset: GHG emission data from the sea animal colony at the Antarctica
DOI: 10.5281/zenodo.14548199
title: Dateset: GHG emission data from the sea animal colony at the Antarctica
DOI: 10.15468/dl.ug2uju
title: Occurrence Download

description: A dataset containing 2088126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "OccurrenceStatus is Present",
 "Year 2008-2023"
 ]
}

 The dataset includes 2088126 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047746-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2z2yh
title: Occurrence Download

description: A dataset containing 1193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Hesperomyces harmoniae Haelew. & De Kesel"
 ]
}

 The dataset includes 1193 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047757-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/96j75hctfg.1
title: Bayesian Corruption Indicator

description: The 2014 BCI index

The Bayesian Corruption Index is a composite index of the perceived overall level of corruption. Corruption: With corruption, we refer to the “abuse of public power for private gain." Perceived corruption: Given the hidden nature of corruption, direct measures are hard to come by or inherently flawed (e.g. the number of corruption convictions). Instead, we amalgamate the opinions on the level of corruption from the country’s inhabitants, companies operating there, NGOs, and officials working both in governmental and supra-governmental organizations. Composite: It combines the information from 17 different surveys and 110 different survey questions that cover the perceived level of corruption.

It is an alternative to the other well-known indicators of corruption perception: the Corruption Perception Index (CPI) published by Transparency International and the Worldwide Governance Indicators (WGI) published by the World Bank. Methodologically, it is most closely related to the latter as the methodology used in the construction of the BCI can be seen as an augmented version of the Worldwide Governance Indicators’ methodology. The augmentation allows an increase in the coverage. In contrast to the WGI or CPI, the underlying source data are entered without any ex-ante imputations, averaging or other manipulations. This results in an index representing the underlying data, unbiased by the composer’s modelling choices.

The 2014 version of the index is available for 219 countries from 1984 to 2014

Please cite as: Samuel Standaert (2015) "Divining the Level of Corruption: a Bayesian State Space Approach", Journal of Comparative Economics, 43 (3) 782-803. DOI: 10.1016/j.jce.2014.05.007
DOI: 10.17632/96j75hctfg.2
title: Bayesian Corruption Indicator

description: The 2018 BCI index

The Bayesian Corruption Index is a composite index of the perceived overall level of corruption. Corruption: With corruption, we refer to the “abuse of public power for private gain." Perceived corruption: Given the hidden nature of corruption, direct measures are hard to come by or inherently flawed (e.g. the number of corruption convictions). Instead, we amalgamate the opinions on the level of corruption from the country’s inhabitants, companies operating there, NGOs, and officials working both in governmental and supra-governmental organizations. Composite: It combines the information from 17 different surveys and 110 different survey questions that cover the perceived level of corruption.

It is an alternative to the other well-known indicators of corruption perception: the Corruption Perception Index (CPI) published by Transparency International and the Worldwide Governance Indicators (WGI) published by the World Bank. Methodologically, it is most closely related to the latter as the methodology used in the construction of the BCI can be seen as an augmented version of the Worldwide Governance Indicators’ methodology. The augmentation allows an increase in the coverage. In contrast to the WGI or CPI, the underlying source data are entered without any ex-ante imputations, averaging or other manipulations. This results in an index representing the underlying data, unbiased by the composer’s modelling choices.

The latest version of the index is the 2023 version. It covers 221 countries from 1984 to 2021. 
For replicatability's sake, the older index versions are also made available. 
The 2014 version of the index is available for 219 countries from 1984 to 2014
The 2018 version of the index is available for 219 countries from 1984 to 2017

Please cite as: Samuel Standaert (2015) "Divining the Level of Corruption: a Bayesian State Space Approach", Journal of Comparative Economics, 43 (3) 782-803. DOI: 10.1016/j.jce.2014.05.007
DOI: 10.15468/dl.bm7kdb
title: Occurrence Download

description: A dataset containing 2751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)",
 "Country is Sweden",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2751 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047759-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwsxpe
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thinopyrum ponticum (Podpĕra) Z.W.Liu & R.R.-C.Wang"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270368-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtttd6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Elaphoglossum amorimii F.B.Matos & Mickel"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237394-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sf3s7
title: Occurrence Download

description: A dataset containing 5469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atractosteus spatula (Lacepède, 1803)",
 "Year 1000-2019"
 ]
}

 The dataset includes 5469 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227958-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f83mal
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ethiopia",
 "HasCoordinate is true",
 "TaxonKey is Rattus Fischer, 1803",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 184 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014087-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n9v9n
title: Occurrence Download

description: A dataset containing 8217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymelaea passerina (L.) Coss. & Germ."
 ]
}

 The dataset includes 8217 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.572mkv
title: Occurrence Download

description: A dataset containing 431118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cornus sanguinea L."
 ]
}

 The dataset includes 431118 records from 804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218428-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w9wc9
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is RBINS DaRWIN"
 ]
}

 The dataset includes 424 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029989-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lscqra
title: Occurrence Download

description: A dataset containing 11392 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristida adscensionis L."
 ]
}

 The dataset includes 11392 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014086-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukce7r
title: Occurrence Download

description: A dataset containing 1307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eriophorum russeolum Fr. ex Hartm.",
 "Year 1970-2021"
 ]
}

 The dataset includes 1307 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272351-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhxm4d
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apostichopus japonicus (Selenka, 1867)"
 ]
}

 The dataset includes 204 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218437-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wxw7k
title: Occurrence Download

description: A dataset listing the 23 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.5375 41.66005,-91.53466 41.66005,-91.53466 41.66237,-91.5375 41.66237,-91.5375 41.66005))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 23 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243034-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgckav
title: Occurrence Download

description: A dataset containing 4192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.526 18.272,-92.997 18.272,-92.997 18.453,-93.526 18.453,-93.526 18.272))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4192 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014088-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvmrgu
title: Occurrence Download

description: A dataset containing 3198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carabus intricatus Linnaeus, 1760"
 ]
}

 The dataset includes 3198 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272365-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.