cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gk56kw
title: Occurrence Download

description: A dataset containing 11769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus squarrosus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11769 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096378-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhuzzc
title: Occurrence Download

description: A dataset containing 10765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Ochotona princeps (Richardson, 1828)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-168.75 5.61, -168.75 85, -50 85, -50 5.61, -168.75 5.61))"
 ]
}

 The dataset includes 10765 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066044-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhstdv
title: Occurrence Download

description: A dataset containing 1645 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IFO Bacteria database"
 ]
}

 The dataset includes 1645 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142002-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pmrpq
title: Occurrence Download

description: A dataset containing 4210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amegilla aeruginosa (Smith, 1854), Bombus dahlbomii Guérin-Méneville, 1835, Eufriesea coerulescens (Lepeletier, 1841), Centris pallida Fox, 1899)"
 ]
}

 The dataset includes 4210 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280086-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8wn4v
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudodaphnella nodorete (May, 1915)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096385-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2prjd
title: Occurrence Download

description: A dataset containing 281010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex rostrata Stokes",
 "HasCoordinate is true"
 ]
}

 The dataset includes 281010 records from 546 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097992-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8n9my
title: Occurrence Download

description: A dataset containing 565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus ilex L."
 ]
}

 The dataset includes 565 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237435-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqvfuz
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nuculana minuta (O.F.Müller, 1776)",
 "Geometry Polygon ((-0.81872320224334705 81.71335986952006181, 15.11673521981012946 82.94093416616939862, 55.03837845422534514 82.93072605576169565, 68.89890739424060939 82.76538423844311865, 68.23492995998834942 76.91672887805012238, 66.65798355363932615 76.41899886398434205, 58.35826562548645313 75.2830057792397298, 53.62742640643935488 72.27604926014167575, 56.51370019053020144 70.7184319212233703, 61.20731985535795161 69.33373585697623298, 61.03848461561595684 68.59378701793275468, 59.48520040998950265 68.17044220597425408, 56.31109790283980487 68.39555084581948563, 54.55521140952295411 67.98114593841629016, 51.6512452859604565 68.17044220597425408, 48.65267784747624091 67.02924254972219842, 40.94483653932162071 65.40948750740305684, 40.32919426231246263 64.38453675707305024, 38.06363068291878449 63.85719999959601267, 35.45330742839996674 63.59523518951031207, 32.17809051471124349 66.47463978769231119, 31.61169961986282928 67.35413577830914278, 38.21138482940098413 66.43524838936303922, 40.30456857123208891 66.65113196644773552, 40.03368596934806334 67.62779915964847532, 34.17277149222090316 68.8963607305246768, 27.46509718561969038 69.94367113526196533, 23.20588516082897712 69.84830520059951198, 19.77835359058319753 69.06055172175248913, 14.73786598728060149 67.08356056086624619, 12.041205119513684 67.75195906073822982, 8.34509648852492347 77.01326974603688313, -0.81872320224334705 \n 81.71335986952006181))",
 {
 "and" : [
 "Year is greater than 2000",
 "Year is less than or equal to 2010"
 ]
 }
 ]
}

 The dataset includes 52 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159558-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zm7nu
title: Occurrence Download

description: A dataset containing 3746996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cycadopsida, Pinopsida, Ginkgoopsida, Gnetopsida)",
 "Year 1900-2023"
 ]
}

 The dataset includes 3746996 records from 2328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237433-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/19mx3vwt
title: COG

description: A dataset and architecture for visual reasoning with a working memory.
DOI: 10.57702/9emmwbxm
title: DEEP METRIC LEARNING USING TRIPLET NETWORK

description: The Triplet network model learns useful representations by distance comparisons.
DOI: 10.57702/xi0z74x3
title: Learning to Branch for Multi-Task Learning

description: Training multiple tasks jointly in one deep network yields reduced latency during inference and better performance over the single-task counterpart by sharing certain layers of a network.
DOI: 10.57702/3b2682u3
title: Irregular Power Usage Dataset

description: The dataset used in this paper is a real, noisy industrial data set on irregular power usage.
DOI: 10.57702/nm33thog
title: Category-level Shape Estimation for Densely Cluttered Objects

description: A category-level shape estimation framework for densely cluttered objects
DOI: 10.57702/lmilaibh
title: Synthetic dataset for GRAPHSHAP benchmarking

description: A synthetic dataset generated for benchmarking GRAPHSHAP, consisting of graphs with controlled motifs injection.
DOI: 10.57702/89epekjm
title: Physics-driven generative adversarial networks for single-pixel infrared hyperspectral imaging

description: A physics-driven generative adversarial network (GAN) was established for single-pixel hyperspectral imaging (HSI) in the infrared spectrum.
DOI: 10.57702/mapo1zp9
title: LITS MICCAI-2017 challenge dataset

description: The LITS MICCAI-2017 challenge dataset is used for training and testing the proposed 2-stage cascaded model for segmentation of liver and its tumors in CT images.
DOI: 10.57702/nr4059er
title: Carl-Lead

description: The dataset used in the paper is a large-scale dataset of unregulated urban intersections, with a focus on lidar-based end-to-end autonomous driving. The dataset contains a large number of scenarios, each with multiple vehicles and varying levels of complexity.
DOI: 10.57702/74ksynfp
title: Global public health burden of heart failure

description: A dataset of global public health burden of heart failure.
DOI: 10.57702/xr5ty2c0
title: tmVar

description: The tmVar dataset is a collection of genomic variants recognized in biomedical literature.
DOI: 10.57702/f22b3119
title: Visual Domain Adaptation

description: The MNIST, MNIST-M, Street View House Numbers (SVHN), Synthetic Digits (SYN DIGITS), CIFAR-10 and STL-10 datasets are used for visual domain adaptation experiments.
DOI: 10.57702/qcr5nseb
title: COVID-19 TCR Repertoire Dataset

description: The dataset used in this paper is a collection of T-cell receptor (TCR) repertoires from COVID-19 patients and healthy controls. The dataset is used to train and evaluate the performance of the Adaptive Immune Repertoire-Invariant Variational Autoencoder (AIRIVA) model.
DOI: 10.57702/hl1novk5
title: Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder

description: The dataset used in this paper is a video of a house tour, which is used to train a Variational Autoencoder (VAE) to learn a representation map for robot navigation.
DOI: 10.57702/glsk2qan
title: Kubric Dataset

description: The Kubric dataset offers training and validation data across various difficulty levels, featuring videos of objects interacting with each other.
DOI: 10.57702/4z8e8lg4
title: Systolic Array Designs for 1-D and 2-D Convolution on GPUs

description: The dataset used in the paper is a set of systolic array designs for 1-D and 2-D convolution on GPUs.
DOI: 10.57702/ka7ua0c9
title: CO-STAR

description: The CO-STAR training data set contains just over 12K structured implied stereotype annotations and their underlying concepts.
DOI: 10.57702/bjlj1b6x
title: Gaofen3 Dataset

description: Gaofen3 dataset contains spaceborne SAR images acquired by the China Centre for Resources Satellite Data and Application.
DOI: 10.57702/lfnnb7px
title: SemEval-2014 ABSA Restaurant Reviews

description: The SemEval-2014 ABSA Restaurant Reviews dataset is a collection of restaurant reviews annotated with sentiment.
DOI: 10.57702/qp54gi8x
title: ETIS

description: The dataset used in the paper for medical image segmentation tasks.
DOI: 10.57702/nbb0eque
title: Hanabi

description: The Hanabi dataset is a multi-agent learning challenge for AI research. It is a cooperative game of imperfect information for two to five players, where players must coordinate to efficiently reveal information to their teammates.
DOI: 10.57702/5r708q5h
title: CLEVER

description: The CLEVER dataset is a dataset for video reasoning, where videos are presented to the model, along with a set of related questions, and the model's outputs are the answers to these questions.
DOI: 10.6084/m9.figshare.31018312
title: <b>Holliday junction branch migration patterned by transcription</b>

description: Raw and processed NGS data accompanying the manuscript:<br><br>"<b>Holliday junction branch migration patterned by transcription</b>"
DOI: 10.6084/m9.figshare.31018312.v1
title: <b>Holliday junction branch migration patterned by transcription</b>

description: Raw and processed NGS data accompanying the manuscript:<br><br>"<b>Holliday junction branch migration patterned by transcription</b>"
DOI: 10.57702/n2kaqges
title: COCO Caption dataset

description: The COCO Caption dataset, containing 330,000 images with five independent human-generated captions each.
DOI: 10.57702/ezt1v5tv
title: Binary Neural Network Dataset

description: The dataset used in this paper is a binary neural network model.
DOI: 10.5281/zenodo.17303163
title: Digital Readiness Levels: Formalizing a Missing Standard

description: Digital Readiness Levels (DRL) - Kazakhstan Validation (Partial DRL, Figure Data, Plot & Program)

SummaryThis deposit contains the minimal, reproducible materials for the Kazakhstan case used to assess convergent validity of the Digital Readiness Levels (DRL) framework. We provide: (i) computed partial DRL profiles per unit, (ii) the rank-normalized figure dataset that pairs the composite readiness score 𝐵

 with external operational KPIs, (iii) the corresponding figure (“Convergent validity (Kazakhstan)”), and (iv) the program used to generate the results.

Files included

DRL_KZ_partial.xlsx — Computed partial DRL per unit

drl_kz_figure_data_rank.xlsx — Table used for the main plot. Columns: unit_id, metric_id, B_star, kpi_value, kpi_norm_rank (rank-based normalization within each KPI: rank/(n+1); scale-invariant and robust to outliers).

Convergent validity (Kazakhstan) — figure — Scatter of 𝐵, (X) vs rank-normalized external KPIs (Y). Each point is a (unit, KPI) pair.

Program (code) — A reproducible script/notebook 

Scope and periodObservations represent publicly available indicators for Kazakhstan government digital services and related platforms over 2025-06-01 to 2025-09-30 (or closest publicly reported period). Some values are marked as proxies where only cumulative figures were available; each observation in the working files is linked to a public source and collection date.

Provenance & ethicsAll inputs were drawn from public official sources (government portals and statistics). No personal or sensitive data are included; only aggregated indicators are used.

Suggested citation

Digital Readiness Levels (DRL) — Kazakhstan Validation (Partial DRL, Figure Data, Plot & Program). Zenodo, YYYY. DOI: [insert DOI after upload].

KeywordsDigital readiness; DRL; e-government; validation; convergent validity; Kazakhstan; composite score; B; rank normalization; public data; reproducibility.
DOI: 10.5281/zenodo.17303164
title: Digital Readiness Levels: Formalizing a Missing Standard

description: Digital Readiness Levels (DRL) - Kazakhstan Validation (Partial DRL, Figure Data, Plot & Program)

SummaryThis deposit contains the minimal, reproducible materials for the Kazakhstan case used to assess convergent validity of the Digital Readiness Levels (DRL) framework. We provide: (i) computed partial DRL profiles per unit, (ii) the rank-normalized figure dataset that pairs the composite readiness score 𝐵

 with external operational KPIs, (iii) the corresponding figure (“Convergent validity (Kazakhstan)”), and (iv) the program used to generate the results.

Files included

DRL_KZ_partial.xlsx — Computed partial DRL per unit

drl_kz_figure_data_rank.xlsx — Table used for the main plot. Columns: unit_id, metric_id, B_star, kpi_value, kpi_norm_rank (rank-based normalization within each KPI: rank/(n+1); scale-invariant and robust to outliers).

Convergent validity (Kazakhstan) — figure — Scatter of 𝐵, (X) vs rank-normalized external KPIs (Y). Each point is a (unit, KPI) pair.

Program (code) — A reproducible script/notebook 

Scope and periodObservations represent publicly available indicators for Kazakhstan government digital services and related platforms over 2025-06-01 to 2025-09-30 (or closest publicly reported period). Some values are marked as proxies where only cumulative figures were available; each observation in the working files is linked to a public source and collection date.

Provenance & ethicsAll inputs were drawn from public official sources (government portals and statistics). No personal or sensitive data are included; only aggregated indicators are used.

Suggested citation

Digital Readiness Levels (DRL) — Kazakhstan Validation (Partial DRL, Figure Data, Plot & Program). Zenodo, YYYY. DOI: [insert DOI after upload].

KeywordsDigital readiness; DRL; e-government; validation; convergent validity; Kazakhstan; composite score; B; rank normalization; public data; reproducibility.
DOI: 10.15468/dl.2ztgjr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptosomiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 30,-120 30,-120 60,-150 60,-150 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064876-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.18176032
title: Framework Lock: From 10-38 to Revolutionary

description: Large Language Models trained on scientific literature exhibit systematic resistance to paradigm-challengingevidence, quantifiable through probability estimates. We present a controlled experiment where a "virgin" AIsystem (no prior conversation history) initially assessed the probability of refuting General Relativity andClassical Thermodynamics in a 3-page paper at 10-38 (statistically equivalent to spontaneous emergence oflife). Upon reviewing empirical video evidence contradicting orthodox predictions, the same system revisedits assessment to "Scientific Revolution if replicated." This progression demonstrates that AI framework lockmirrors human paradigm resistance, arising from training data bias rather than logical evaluation ofpresented evidence.
description: i added in this last version a final prompt and answer with the two supplementary videos that was presented to Gemini.
DOI: 10.5281/zenodo.18179143
title: Framework Lock: From 10-38 to Revolutionary

description: Large Language Models trained on scientific literature exhibit systematic resistance to paradigm-challengingevidence, quantifiable through probability estimates. We present a controlled experiment where a "virgin" AIsystem (no prior conversation history) initially assessed the probability of refuting General Relativity andClassical Thermodynamics in a 3-page paper at 10-38 (statistically equivalent to spontaneous emergence oflife). Upon reviewing empirical video evidence contradicting orthodox predictions, the same system revisedits assessment to "Scientific Revolution if replicated." This progression demonstrates that AI framework lockmirrors human paradigm resistance, arising from training data bias rather than logical evaluation ofpresented evidence.
description: i added in this last version a final prompt and answer with the two supplementary videos that was presented to Gemini.
DOI: 10.15468/dl.aqjf6v
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007979-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9zmqg
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007774-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp9q3c
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys callirostris callirostris)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071598-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdsqta
title: Occurrence Download

description: A dataset containing 27118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Geometry POLYGON ((-169.509286 55.796230, -169.509286 83.627419, 172.069540 83.627419, 172.069540 55.796230, -169.509286 55.796230))",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 27118 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082140-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj5r4n
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070019-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq9dkc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006902-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trdqqu
title: Occurrence Download

description: A dataset containing 176467419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-980.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2010-2023"
 ]
}

 The dataset includes 176467419 records from 3410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082223-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/506-tzj-ljq
title: Piper subbullatum K. Schumach. & Lauterb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dpe-7hw-kbl
title: Piper gibbilimbum C. DC.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/031-rsa-wz9
title: Piper gibbilimbum C. DC.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6hc-0z7-tdq
title: Piper boehmeriifolium var. glabricaule (C. DC.) M. G. Gilbert & N. H. Xia

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ptg-5b9-0v2
title: Piper submultinerve C. DC.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zsw-8hc-t3c
title: Piper L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/65j-ag2-8xf
title: Persicaria foliosa (H. Lindb.) Kitag.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.