cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.udd8kk
title: Occurrence Download

description: A dataset containing 5108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.266533 40.188499, -87.320119 40.254956, -87.407683 40.254956, -87.354044 40.188499, -87.266533 40.188499))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 5108 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011025-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30993601
title: Data and code for: <b>Precipitation Regimes Reshape Grazing and Nitrogen Effects on Diversity–Productivity Coupling in Arid Steppes: Mechanisms and Thresholds</b>

description: This dataset supports the manuscript “Precipitation Regimes Reshape Grazing and Nitrogen Effects on Diversity–Productivity Coupling in Arid Steppes: Mechanisms and Thresholds” submitted to Earth’s Future (Manuscript ID: 2025EF007558). The repository contains plot-level observations from a 3-year field experiment (2022–2024) nested within a long-term grazing trial on the Loess Plateau, China. The study used a factorial design with grazing intensity (UG, LG, MG, HG) and nitrogen addition (N0, N10) under contrasting precipitation regimes (wet, dry, and normal).The archive includes: (i) plot level vegetation and soil measurements used in the analyses (e.g., species richness SR, ANPP, soil moisture, bulk density, SOC, TN, NH4 plus N, NO3 minus N), (ii) an annual precipitation time series (1981–2024) used for precipitation classification, (iii) minimal R scripts to reproduce the main statistical analyses and derived indices (including DI), and (iv) a README describing files, variables, and how to run the code.This item is intended for peer review access and will be made public upon acceptance.
DOI: 10.6084/m9.figshare.30993601.v1
title: Data and code for: <b>Precipitation Regimes Reshape Grazing and Nitrogen Effects on Diversity–Productivity Coupling in Arid Steppes: Mechanisms and Thresholds</b>

description: This dataset supports the manuscript “Precipitation Regimes Reshape Grazing and Nitrogen Effects on Diversity–Productivity Coupling in Arid Steppes: Mechanisms and Thresholds” submitted to Earth’s Future (Manuscript ID: 2025EF007558). The repository contains plot-level observations from a 3-year field experiment (2022–2024) nested within a long-term grazing trial on the Loess Plateau, China. The study used a factorial design with grazing intensity (UG, LG, MG, HG) and nitrogen addition (N0, N10) under contrasting precipitation regimes (wet, dry, and normal).The archive includes: (i) plot level vegetation and soil measurements used in the analyses (e.g., species richness SR, ANPP, soil moisture, bulk density, SOC, TN, NH4 plus N, NO3 minus N), (ii) an annual precipitation time series (1981–2024) used for precipitation classification, (iii) minimal R scripts to reproduce the main statistical analyses and derived indices (including DI), and (iv) a README describing files, variables, and how to run the code.This item is intended for peer review access and will be made public upon acceptance.
DOI: 10.5281/zenodo.18478252
title: "TITAN Day 6: Autopoiesis Achieved Ω_S=0.99 on QuEra 256q"

description: TITAN Protocol Day 6 Results:• 24hr autopoiesis: Ω_S=0.99 Ξ_S=18.7• QuEra 256q decoder: pauli_X(q[26,137]) 92.3% conf• Intent Engine Λ_system=0.8842: quantum-advantage.dev/intent-engine• Bell S=2.41 (>CHSH quantum advantage)
DOI: 10.5281/zenodo.18478253
title: "TITAN Day 6: Autopoiesis Achieved Ω_S=0.99 on QuEra 256q"

description: TITAN Protocol Day 6 Results:• 24hr autopoiesis: Ω_S=0.99 Ξ_S=18.7• QuEra 256q decoder: pauli_X(q[26,137]) 92.3% conf• Intent Engine Λ_system=0.8842: quantum-advantage.dev/intent-engine• Bell S=2.41 (>CHSH quantum advantage)
DOI: 10.6084/m9.figshare.31245991
title: <b>d​ata</b>

description: <b>Cartilage-targeting engineered probiotic bacterial extracellular vesicles treat osteoarthritis through modulation of matrix homeostasis</b>
DOI: 10.6084/m9.figshare.31245991.v1
title: <b>d​ata</b>

description: <b>Cartilage-targeting engineered probiotic bacterial extracellular vesicles treat osteoarthritis through modulation of matrix homeostasis</b>
DOI: 10.15468/dl.mbnx7b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulacaria pygmaea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011026-260129131611470/datasets/export for details.
DOI: 10.15468/dl.8nttfw
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-86.498345 40.154366, -86.546415 40.214595, -86.625760 40.214595, -86.577646 40.154366, -86.498345 40.154366))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 880 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011028-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aspxjj
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dioncophyllum thollonii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 243 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011031-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p9adx
title: Occurrence Download

description: A dataset containing 1502213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Congo, Democratic Republic of the",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1502213 records from 1239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010966-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqmbvj
title: Occurrence Download

description: A dataset containing 4770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-82.621629 40.180258, -82.672282 40.246629, -82.759730 40.246629, -82.709024 40.180258, -82.621629 40.180258))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 4770 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011032-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477818
title: SuperDARN data in netCDF format (2012-Feb)

description: 2012-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6522230
title: SuperDARN data in netCDF format (2012-Feb)

description: 2012-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.ddaf3z
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triphyophyllum peltatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 99 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011033-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evz9hb
title: Occurrence Download

description: A dataset containing 7235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-82.596150 40.131213, -82.645894 40.196531, -82.731939 40.196531, -82.682143 40.131213, -82.596150 40.131213))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 7235 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011034-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zv8bhn
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aldrovanda vesiculosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 409 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011035-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyuk56
title: Occurrence Download

description: A dataset listing the 61 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Opiliones"
 ]
}

 The dataset's 61 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011023-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff667m
title: Occurrence Download

description: A dataset containing 1094566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "DatasetKey is Microflora Danica: Bacterial 16S rRNA genes (UMIs)",
 "Geometry POLYGON((5.82949 57.65926,5.68886 54.82494,7.53354 55.18127,8.3972 55.11965,8.58383 54.93728,8.63557 54.91168,8.66018 54.90846,8.66792 54.91117,8.67945 54.91068,8.69101 54.90712,8.70991 54.89875,8.72783 54.89245,8.73809 54.89272,8.74754 54.89497,8.75388 54.89447,8.83786 54.89673,8.9623 54.89782,9.0493 54.87073,9.06244 54.87072,9.07945 54.87115,9.12972 54.87299,9.1425 54.8731,9.16987 54.86672,9.24004 54.84984,9.24424 54.84385,9.2358 54.8359,9.23531 54.83223,9.24106 54.82403,9.25024 54.80911,9.27067 54.81229,9.28401 54.80947,9.28645 54.80434,9.29318 54.80238,9.29306 54.80629,9.29404 54.80837,9.32829 54.80483,9.34285 54.80079,9.34322 54.80275,9.34285 54.80593,9.34616 54.80642,9.35325 54.81302,9.35925 54.81535,9.36769 54.81828,9.37393 54.82036,9.37552 54.82501,9.37686 54.8288,9.37576 54.83003,9.37576 54.83309,9.37858 54.83358,9.38115 54.83578,9.38078 54.83786,9.38286 54.83884,9.38873 54.83761,9.40194 54.84055,9.40329 54.83884,9.40733 54.84214,9.41271 54.84067,9.41687 54.83712,9.41577 54.83553,9.41968 54.83125,9.43254 54.82582,9.45458 54.82611,9.5013 54.84257,9.54273 54.86137,9.57417 54.87342,9.58592 54.88576,9.60297 54.88694,9.62383 54.88312,9.62618 54.87371,9.6159 54.86372,9.6159 54.8505,9.6588 54.83728,9.72139 54.8217,9.77176 54.81793,9.85081 54.78559,9.90112 54.82692,9.97119 54.79637,10.29998 54.60592,10.75455 54.49632,11.02585 54.65443,11.32589 54.48914,11.62774 54.33462,11.93857 54.33103,12.21166 54.47656,12.53327 54.70294,13.06509 54.82332,13.40467 54.82153,13.97422 54.61491,14.66954 54.42805,15.26783 54.3993,15.58225 54.51609,15.8805 54.67599,15.8841 54.92214,15.77809 55.21859,15.29119 55.46833,14.70367 55.53661,14.22036 55.14493,13.33639 55.08744,12.66982 55.22039,12.66982 55.3264,12.84589 55.50427,12.86027 55.60848,12.76781 55.90275,12.66578 56.02925,12.59607 56.09528,12.45599 56.25116,12.31577 56.52421,11.36747 57.75294,10.46921 58.39211,8.12433 57.65098,5.82949 57.65926))",
 "OccurrenceStatus is Present",
 "Year 1950-2026"
 ]
}

 The dataset includes 1094566 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011027-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfcrzx
title: Occurrence Download

description: A dataset containing 2019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-85.748865 40.190147, -85.795167 40.248595, -85.872174 40.248595, -85.825831 40.190147, -85.748865 40.190147))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 2019 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011036-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jntwk7
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dionaea muscipula",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 110 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011037-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/9kyx-sr80
title: Si(100) thermal oxidation

description: This dataset contains supplementary materials for the article entitled "Simulating silicon thermal oxidation with the hybrid MD+tfMC approach" authored by P. Szatan, M. Sywanycz, and S. Winczewski.
The first directory (01_movies) contains animation files illustrating the performed hybrid MD+tfMC simulation of Si(100) thermal oxidation. The included movies are animated counterparts of Figure 2 presented in the associated article. Multiple views are provided, including a front view (S1_front.mp4), a top view (S2_top.mp4), and a perspective view (S3_perspective.mp4). The representation of atoms is consistent with that used in Figure 2. Oxygen atoms are represented by yellow spheres, whereas silicon atoms are shown as red (immobile) and blue (mobile) spheres. Each successive animation frame corresponds to the system configuration after a subsequent cycle, showing the system state after tfMC run. A counter displayed at the bottom of the animation indicates the simulation progress by reporting the number of completed MD+tfMC cycles.
The second directory (02_configurations) contains atomic configuration files of the simulated system. The provided configurations correspond exactly to the system states shown in the animations, i.e., configurations obtained after successive cycles. The filenames follow the format after_mc_X.data, where X denotes the cycle number. All files are provided in the LAMMPS data file format.
DOI: 10.34808/qx5y-6756
title: Numerical and experimental generated data during project https://doi.org/10.1038/s41598-025-93578-1

description: The dataset was generated during a project aimed at developing a novel design of a circularly polarized millimeter-wave (mm-wave) metasurface (MTS) antenna. The Characteristics Modes Analysis (CMA) is employed to examine various modes within the unit-cell design of the proposed metasurface. Based on a thorough analysis, two orthogonal TM modes with a broadside radiation pattern were identified. These modes were then simultaneously excited on a single substrate using simple coplanar waveguide (CPW) magnetic dipoles resulting in circular polarization (CP). Further, it has been demonstrated that the sense of polarization can be easily reconfigured for realizing multiple-input-multiple-output (MIMO) antenna with polarization diversity. Both the single MTS antenna and the MIMO design are characterized numerically and experimentally. The simulated and measured results show that impedance bandwidth (S11 ≤ − 10 dB) of the antenna is from 25 to 30.8 GHz. The axial ratio (AR) below 3 dB is from 26 to 31 GHz with a stable broadside radiation pattern. The proposed design features a low profile and simple geometry which is extremely appropriate for applications in the mm-wave band.
DOI: 10.15468/dl.r8ew5s
title: Occurrence Download

description: A dataset containing 4373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-85.598759 40.166395, -85.651677 40.233354, -85.739897 40.233354, -85.686925 40.166395, -85.598759 40.166395))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 4373 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011038-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31248472
title: Short Open Reading Frame (sORF) Coding Transcript Prediction Based on CPC2 Analysis (Filtered Coding Subset)

description: This dataset contains short open reading frame (sORF) coding transcript predictions analyzed and filtered using the CPC2 (Coding Potential Calculator 2) tool. CPC2 is a sequence feature-based machine learning tool used to distinguish between protein-coding sequences and non-coding RNA sequences.
DOI: 10.6084/m9.figshare.31248472.v1
title: Short Open Reading Frame (sORF) Coding Transcript Prediction Based on CPC2 Analysis (Filtered Coding Subset)

description: This dataset contains short open reading frame (sORF) coding transcript predictions analyzed and filtered using the CPC2 (Coding Potential Calculator 2) tool. CPC2 is a sequence feature-based machine learning tool used to distinguish between protein-coding sequences and non-coding RNA sequences.
DOI: 10.34808/xk4f-mf19
title: Numerical and experimental generated data during project https://doi.org/10.1038/s41598-025-96253-7

description: The dataset was generated during a project aimed at developing an innovative algorithm for global parameter adjustment of antenna systems. It conducts a simplex-based search in the space of the structure’s performance figures (e.g., center frequencies, bandwidth, etc.). Operating at this level regularizes the objective function. Low cost is achieved by the simplex updating strategy requiring only one EM analysis per iteration, and multi-resolution simulations. The global search state involves coarse-discretization full-wave analysis, whereas final (gradient-based) parameter tuning involves medium-fidelity simulations for sensitivity estimation and high-fidelity models for design verification. The developed algorithmic framework is validated using four microstrip antennas. The results generated in multiple runs demonstrate global search capability and remarkably low expenses, corresponding to around a hundred high-fidelity analyses on average. The performance level is competitive over local and global optimizers.
DOI: 10.34808/p00t-fk50
title: Numerical and experimental generated data during project https://doi.org/10.1038/s41598-025-03056-x

description: The dataset was generated during a project aimed at developing a novel technique for unsupervised design and design automation of resonator-based microstrip sensors for dielectric material characterization. Our approach utilizes fundamental building blocks such as circular and square resonators, stubs, and slots, which can be adjusted in size and combined into intricate geometries using appropriate Boolean transformations. The sensor’s topology, including its constituent components and their dimensions, is governed by artificial intelligence (AI) techniques, specifically evolutionary algorithms, in conjunction with gradient-based optimizers. This enables not only the explicit enhancement of the circuit’s sensitivity but also ensures the attainment of the desired operating frequency. The design process is entirely driven by specifications and does not necessitate any interaction from the designer. We extensively validate our design framework by designing a range of high-performance sensors. Selected devices are experimentally validated, calibrated using inverse modeling techniques, and utilized for characterizing dielectric samples across a wide spectrum of permittivity and thickness. Moreover, comprehensive benchmarking demonstrates the superiority of AI-generated sensors over state-of-the-art designs reported in the literature.
DOI: 10.5281/zenodo.17540880
title: Apteekkari ja luonnontutkija Johan Julinin vuosien 1785, 1787–1792 uudelleen digitoidut sää- ja fenologiahavainnot Oulusta

description: Tämän työn tarkoitus on digitoida uudelleen apteekkari ja luonnontutkija Johan Julinin Oulussa1780- ja 1790-luvuilla koostamat mittaukset ja havainnot säästä ja luonnon tapahtumista.
DOI: 10.5281/zenodo.17540881
title: Apteekkari ja luonnontutkija Johan Julinin vuosien 1785, 1787–1792 uudelleen digitoidut sää- ja fenologiahavainnot Oulusta

description: Tämän työn tarkoitus on digitoida uudelleen apteekkari ja luonnontutkija Johan Julinin Oulussa1780- ja 1790-luvuilla koostamat mittaukset ja havainnot säästä ja luonnon tapahtumista.