cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28448165
title: percent_undisturbed_prairie_regional_raster

description: 2.5 arc min raster file. We reclassifed Oklahoma Biological Survey Landuse raster (2015) to reflect habitats that are untilled prairie.
DOI: 10.6084/m9.figshare.28448165.v1
title: percent_undisturbed_prairie_regional_raster

description: 2.5 arc min raster file. We reclassifed Oklahoma Biological Survey Landuse raster (2015) to reflect habitats that are untilled prairie.
DOI: 10.15468/dl.dwtcne
title: Occurrence Download

description: A dataset containing 1266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-225.77376 -49.47787,-69.09291 -49.47787,-69.09291 52.16235,-225.77376 52.16235,-225.77376 -49.47787))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "Year 2010-2024"
 ]
}

 The dataset includes 1266 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002572-250218110819086/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.28448150
title: data.zip

description: Raw data for thermal conductivity calculations of the ferroelectric phase HfO2
DOI: 10.6084/m9.figshare.28448150.v1
title: data.zip

description: Raw data for thermal conductivity calculations of the ferroelectric phase HfO2
DOI: 10.15468/dl.fxp9xs
title: Occurrence Download

description: A dataset containing 1980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is VU",
 "PublishingOrg is 04ce62dd-30ec-4d98-8b30-b09cafc3ac38"
 ]
}

 The dataset includes 1980 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002573-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vb2zf
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreomunnea mexicana (Standl.) J.-F.Leroy"
 ]
}

 The dataset includes 230 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002574-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4y8gfq
title: Occurrence Download

description: A dataset containing 1764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zeugodacus cucurbitae (Coquillett, 1899)"
 ]
}

 The dataset includes 1764 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002575-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krphy9
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioon spinulosum Dyer ex Eichler"
 ]
}

 The dataset includes 159 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002576-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frztag
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioon spinulosum Dyer ex Eichler"
 ]
}

 The dataset includes 159 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002577-250218110819086/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.28423040.v1
title: Mangrove forests

description: This is the measured data for a temperate mangrove forest in South Australia.
DOI: 10.15468/dl.a6amgr
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caluromys derbianus (Waterhouse, 1841)"
 ]
}

 The dataset includes 1247 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002580-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhjrsv
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marmosa rubra Tate, 1931"
 ]
}

 The dataset includes 69 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002581-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10799306
title: Mycobacterial CT Imaging Dataset
DOI: 10.15468/dl.gf4j2w
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panulirus laevicauda (Latreille, 1817)"
 ]
}

 The dataset includes 90 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002583-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdstgs
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Microhyla fissipes Boulenger, 1884"
 ]
}

 The dataset includes 931 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002584-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5yfau
title: Occurrence Download

description: A dataset containing 4865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loropetalum chinense (R.Br.) Oliv."
 ]
}

 The dataset includes 4865 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002585-250218110819086/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.28423040
title: Mangrove forests

description: This is the measured data for a temperate mangrove forest in South Australia.
DOI: 10.6084/m9.figshare.28423040.v3
title: Mangrove forests

description: This is the measured data for a temperate mangrove forest in South Australia.
DOI: 10.6084/m9.figshare.28423040.v2
title: Mangrove forests

description: This is the measured data for a temperate mangrove forest in South Australia.
DOI: 10.15468/dl.qxz5f6
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaptotrigona depilis (Moure, 1942)"
 ]
}

 The dataset's 1 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bceu6k
title: Occurrence Download

description: A dataset containing 2256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Curcuma longa L."
 ]
}

 The dataset includes 2256 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002587-250218110819086/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.28182260
title: Seaport integrated energy system

description: Parameters of seaport integrated energy system<br>
DOI: 10.5281/zenodo.14897799
title: Root morphological characteristics, tensile resistance, shear strength and erosion resistance indexes of herbaceous plants
DOI: 10.5281/zenodo.14897800
title: Root morphological characteristics, tensile resistance, shear strength and erosion resistance indexes of herbaceous plants
DOI: 10.5281/zenodo.14897833
title: Navigation and selection of spermatozoa in a radial flow microfluidic device
DOI: 10.6084/m9.figshare.28069862.v2
title: zhengx.zip

description: <b>Velocity Contrast across the North Xiaojiang Fault from the Analysis of Fault Zone Head Waves and Teleseismic P-Wave Arrivals</b>
DOI: 10.6084/m9.figshare.27937887
title: <b>Separate brainstem circuits for fast steering and slow exploratory turns</b>

description: neurobiology
DOI: 10.15468/dl.pfgt7c
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Meliosma alba (Schltdl.) Walp."
 ]
}

 The dataset includes 231 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002589-250218110819086/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.28448000
title: Microbiome Abundance Generated by MGM 2.0

description: This dataset contains gut microbiome abundance data for 17 diseases, generated using MGM 2.0, a microbial foundation model designed for contextualized microbiome analysis. It includes two CSV files:1. <b>abundance.csv</b> – A matrix representing the relative abundance of microbial taxa across samples, where rows correspond to genera and columns to samples.2. <b>labels.csv</b> – Metadata or classification labels associated with the samples.This dataset is suitable for benchmarking, model evaluation, and microbiome classification tasks. For details on data processing and modeling, please refer to the corresponding publication.
DOI: 10.15468/dl.385pky
title: Occurrence Download

description: A dataset listing the 1370 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pentatomidae"
 ]
}

 The dataset's 1370 records were derived from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4dfex
title: Occurrence Download

description: A dataset containing 1025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-276.55906 -48.69085,-70.85662 -48.69085,-70.85662 69.20101,-276.55906 69.20101,-276.55906 -48.69085))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "Year 2010-2024"
 ]
}

 The dataset includes 1025 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002591-250218110819086/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.27367917
title: Syn-D-CNN Dataset

description: Text summarization condenses extensive content into concise summaries; however, current approaches often rely on large language models (LLMs), which can lack interpretability and are susceptible to generating hallucinated content. To address these issues, we propose Docusage, an interpretable framework that replicates human summaries through a hierarchical clustering approach combined with extractive summarization, augmented by selective, LLM-based abstraction. Docusage minimizes the risk of hallucinations, ensures contextual relevance, and mitigates the computational costs inherent in leveraging an LLM.<br>Our results show that Docusage aligns closely with journalist-generated summaries, outperforming foundational and specialized models. Additionally, Docusage offers an interpretable framework that is not constrained by context size, ensures transparency regarding the role of extracted sentences within the narrative, and adapts to the style of the training data.
DOI: 10.15468/dl.c67gja
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sea otter females with pups in Prince William Sound, Alaska"
 ]
}

 The dataset includes 312 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002592-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.seay9v
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Turpinia insignis (Kunth) Tul."
 ]
}

 The dataset includes 410 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002593-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14272280
title: Machine Proofs for Adams Differentials and Extension Problems Among CW Spectra

description: In this repo we upload the computations of Adams differentials and extensions among many CW spectra and their proofs. This data will be used in the proof of the Last Kervaire Invariant One Problem by Weinan Lin, Guozhen Wang and Zhouli Xu.

In programs.zip, we have two programs ./Adams and ./ss provided for both windows users and mac users and also some configuration files. We will provide the same data in different file formats in future uploads. We will also upload the computer codes here for ./Adams and ./ss.

In programs.zip there is a demo for ./ss which is a category of five spectra: S0, C2, Ceta, Cnu, Csigma.

kervaire_database.zip contains all the Adams E2 data and extensions data. They are sqlite3 database files and can be read directly by the ./ss program. We will provide the same data in different file formats in future uploads.

proofs.db and proofs_csv.zip are proofs of all the differentials. Inside proofs_csv.zip there are 22 csv files. We break it to 22 files because Microsoft Excel has a limit of 1000,000 lines.

On the website https://waynelin92.github.io/ss/kervaire.html you can find plots of most data. The website code (html/javascript) is actually contained in programs.zip/webpages in this repo.

Please read instructions.pdf for more infomation. It is not complete but will be upadated soon.
DOI: 10.5281/zenodo.14276440
title: Machine Proofs for Adams Differentials and Extension Problems Among CW Spectra

description: In this repo we upload the computations of Adams differentials and extensions among many CW spectra and their proofs. This data will be used in the proof of the Last Kervaire Invariant One Problem by Weinan Lin, Guozhen Wang and Zhouli Xu.

In programs.zip, we have two programs ./Adams and ./ss provided for both windows users and mac users and also some configuration files. We will provide the same data in different file formats in future uploads. We will also upload the computer codes here for ./Adams and ./ss.

In programs.zip there is a demo for ./ss which is a category of five spectra: S0, C2, Ceta, Cnu, Csigma.

kervaire_database.zip contains all the Adams E2 data and extensions data. They are sqlite3 database files and can be read directly by the ./ss program. We will provide the same data in different file formats in future uploads.

proofs.db and proofs_csv.zip are proofs of all the differentials. Inside proofs_csv.zip there are 22 csv files. We break it to 22 files because Microsoft Excel has a limit of 1000,000 lines.

On the website https://waynelin92.github.io/ss/kervaire.html you can find plots of most data. The website code (html/javascript) is actually contained in programs.zip/webpages in this repo.

Please read instructions.pdf for more infomation. It is not complete but will be upadated soon.
DOI: 10.5281/zenodo.14475507
title: Machine Proofs for Adams Differentials and Extension Problems among CW Spectra

description: In this Zenodo repositary we upload the computations of Adams differentials and extensions among many CW spectra and their proofs. This data will be used in the proof of the Last Kervaire Invariant One Problem by Weinan Lin, Guozhen Wang and Zhouli Xu.

In programs.zip, we have two programs ./Adams and ./ss provided for both windows users and mac users and also some configuration files. We will upload the source code here for ./Adams and ./ss. You can also find the source on Github https://github.com/WayneLin92/SSeqCpp.

In programs.zip there is a demo for ./ss which is a category of five spectra: S0, C2, Ceta, Cnu, Csigma.

kervaire_database.zip contains all the Adams spectral sequence data and extensions data. They are sqlite3 database files and can be read directly by the ./ss program. We also provide the same data in csv format in kervaire_csv.rar.

proofs.db and proofs_csv.zip are proofs of all the differentials. Inside proofs_csv.zip there are 22 csv files. We break it to 22 files because Microsoft Excel has a limit of 1000,000 lines.

On the website https://waynelin92.github.io/ss/kervaire.html you can find plots of most data. The website code (html/javascript) is actually contained in programs.zip/webpages in this repositary.

Please read instructions.pdf for more infomation.
DOI: 10.5281/zenodo.14875532
title: Machine Proofs for Adams Differentials and Extension Problems among CW Spectra

description: Update notes: In this version, we reduce the number of spectra in this project from 210 to 49, while keeping the outcome sufficient to prove the Last Kervaire Invariant One Problem. The size of the proof file proofs.db.rar is also reduced from 600MB to 44MB, leading to easier track for proofs.

In this Zenodo repositary we upload the computations of Adams differentials and extensions among many CW spectra and their proofs. This data will be used in the proof of the Last Kervaire Invariant One Problem by Weinan Lin, Guozhen Wang and Zhouli Xu.

In programs.rar, we have two programs ./Adams and ./ss provided for both windows users and mac users and a definition file Adams.json for spectra involved in this project. The source code for the two programs is contained in source code.zip. You can also find the source code on Github https://github.com/WayneLin92/SSeqCpp together with user manual for the programs.

In programs.rar there is also a demo for ./ss which is a category of five spectra: S0, C2, Ceta, Cnu, Csigma.

kervaire_database.rar contains all the Adams spectral sequence data and extension data. They are sqlite3 database files and can be read directly by the ./ss program. We also provide the same data in csv format in kervaire_csv.rar.

proofs.db.rar and proofs_csv.rar are proofs of all the differentials. Inside proofs_csv.rar there are 3 csv files. We break it to 3 files because Microsoft Excel has a limit of 1000,000 rows.

On the website https://waynelin92.github.io/ss/kervaire-49.html you can find plots of the data. The website source code (html/javascript) is actually contained in programs.rar/webpages in this repositary.

Please read instructions.pdf for more infomation.
DOI: 10.15468/dl.hdj7nm
title: Occurrence Download

description: A dataset containing 5665 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Dolphin Project"
 ]
}

 The dataset includes 5665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002594-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bzh6s
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinnamomum effusum (Meisn.) Kosterm."
 ]
}

 The dataset includes 202 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002595-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zzgr-fm52
title: Graph Reinforcement Learning based Security-constrained Unit Commitment Considering AC Power Flow Constraints

description: With the increasing uncertainties introduced by intermittent renewable energy sources, as a critical decision-making tool for power system operations, security-constrained unit commitment (SCUC) provides an efficient solution for economically and robustly responding to the changes in the power system operating state. In this study, a graph reinforcement learning (GRL)-based approach is proposed to address the day-ahead SCUC problem, incorporating alternating current (AC) power flow constraints. The proposed method simulates the power system operator by an agent composed of graph neural networks. Through the characteristics of the neural networks, the problem of slow solving speed and high solving difficulty of the AC-SCUC problem with complex constraints generated by traditional mathematical optimization algorithm is overcome. Training and testing procedures are conducted on the IEEE-30 and ROTS test systems to demonstrate the effectiveness of the proposed GRL-based AC-SCUC solver. Experimental results show that the proposed solver effectively simulates the operation of power system. The solving quality of IEEE-30 system is close to the traditional optimization algorithm and even surpasses it on the more complex ROTS system, the solution obviously reduces the violation of safety constraints.