cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.95jbwm
title: Occurrence Download

description: A dataset containing 76082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Calandrella cinerea (Gmelin, 1789)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 76082 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060001-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjbmwj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chindongo elongatus (Fryer, 1956)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2494 -34.8049,19.1382 -35.0665,19.1382 -33.9401,17.8437 -33.9401,17.8729 -34.3757,18.2494 -34.8049))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060024-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/tqlono
title: Replication Data for "How Do Electoral Outcomes Affect Campaign Contributions? The Role of Personal Loyalty and Investment Motives"

description: How do electoral outcomes affect campaign contributions? We argue that in contexts where personal connections to the candidate and investment motivations dominate ideology and partisanship as drivers of donations, two main factors shape donors' future behavior: 1) government benefits accrued by donors (e.g., contracts) and 2) whether the supported candidate runs again in future elections. Using data from Colombian mayoral elections, a context with no reelection, weak parties, and non-ideological races, we find that donating to the winning candidate reduces the probability of donating in the next election. We further show that, among donors to the winner, those who receive a contract from the municipality are more likely to continue donating than those without contracts. The findings highlight the importance of personal loyalty to the candidate and the fulfillment of donors’ investment expectations determining campaign contributions in non-established democracies.
DOI: 10.18746/bmth.data.00000425
title: Project Title: Understanding the Production Management skills gap in UK TV.
DOI: 10.5281/zenodo.15692607
title: Preprocessed CMAP dataset for UNAGI in-silico perturbation

description: These are preprocessed drug/compound info files from CMAP LINCS 2020 database, https://clue.io/data/CMap2020#LINCS2020. 





'cmap_drug_target.npy' uses the direct drug target genes provided in CMAP LINCS 2020.

'cmap_drug_treated_res_cutoff.npy' uses genes which is up/down-regulated significantly after individual drug treatments in CMAP LINCS 2020. The level 5 MODZ score was used to determine the extent of gene expression changes after treatments. Top 5% significantly changed drug-gene pairs are kept. NOTE: Running perturbation with this file could take a long time. To reduce the run time, you can use only a subset of this data. e.g. running 'use_only_drugs.py' to run perturbation with only established drugs.



'cmap_direction_df.npy' indicates the direction of gene regulated by drugs after treatments. The level 5 MODZ score was used to indicate the direction of changes.




'use_only_drugs.py' filters out compounds without a formal drug name, e.g. 'BRD-xxxxx' will be removed. This script can extract established drugs for the repurposing purpose. NOTE: if you use 'cmap_drug_target.npy', you don't need to run this script.
DOI: 10.5281/zenodo.15692608
title: Preprocessed CMAP dataset for UNAGI in-silico perturbation

description: These are preprocessed drug/compound info files from CMAP LINCS 2020 database, https://clue.io/data/CMap2020#LINCS2020. 





'cmap_drug_target.npy' uses the direct drug target genes provided in CMAP LINCS 2020.

'cmap_drug_treated_res_cutoff.npy' uses genes which is up/down-regulated significantly after individual drug treatments in CMAP LINCS 2020. The level 5 MODZ score was used to determine the extent of gene expression changes after treatments. Top 5% significantly changed drug-gene pairs are kept. NOTE: Running perturbation with this file could take a long time. To reduce the run time, you can use only a subset of this data. e.g. running 'use_only_drugs.py' to run perturbation with only established drugs.



'cmap_direction_df.npy' indicates the direction of gene regulated by drugs after treatments. The level 5 MODZ score was used to indicate the direction of changes.




'use_only_drugs.py' filters out compounds without a formal drug name, e.g. 'BRD-xxxxx' will be removed. This script can extract established drugs for the repurposing purpose. NOTE: if you use 'cmap_drug_target.npy', you don't need to run this script.
DOI: 10.15468/dl.6etneh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kobayasiella H.Lange-Bertalot, 1999",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060025-250525065834625/datasets/export for details.
DOI: 10.23640/07243.7772561
title: ORCID Membership Survey 2018 (Data Set)

description: This is the anonymized data set for the ORCID 2018 member survey, carried out from September - November 2018. A summary report is also available
DOI: 10.23640/07243.7772561.v1
title: ORCID Membership Survey 2018 (Data Set)

description: This is the anonymized data set for the ORCID 2018 member survey, carried out from September - November 2018. A summary report is also available
DOI: 10.15468/dl.5sjk2r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chindongo elongatus (Fryer, 1956)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.8386 -33.865,17.8437 -33.9401,19.1382 -33.9401,19.1382 -24.9401,14.1824 -24.9401,14.3369 -25.1139,14.4676 -26.4801,15.0951 -27.969,16.3584 -29.3533,16.8305 -30.5692,17.7504 -31.9517,17.8134 -32.2275,17.4732 -32.4288,17.3432 -32.826,17.8386 -33.865))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060026-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15584981
title: Repository for : biogeodyn-MITgcmIS (v1): a biogeodynamical tool for exploratory climate modelling
DOI: 10.5281/zenodo.15704686
title: The bootstrap of points and lines - Plot data

description: The files in this record are organised in the following manner according to figure numbers in the accompanying arXiv preprint titled "The bootstrap of points and lines"

Figure 2

results-ising-gap.dat

Figure 3

vir-c-1.dat

sl2-c-1.dat

Figure 4 (Please note that the x values are in units of h_N, where h_N = 0.108167)

full-system-neumann-h2pt-gbounds.dat

annulus-neumann-h2pt-gbounds.dat

virasoro-annulus-neumann-h2pt-gbounds.dat

Figure 5 (Please note that x values are values of the radius R)

full-system-neumann-gbounds.dat

sl2-neumann-neumann-gbounds.dat

Figure 6

whale-plot-h-0.5.dat

Figure 7

full-system-neumann-whale-coupled-gbounds.dat

Figure 8

free-boson-gbounds-pooled.dat

sl2-35-g.dat

Figure 9

whale-plot-dirichlet-phi-0.25.dat (top figure)

whale-plot-dirichlet-0.4-gbounds.dat (bottom figure)

Figure 10

full-system-asqbounds.dat

sl2-75-asq.dat

Figure 11

c1.5-virasoro.dat

c1.5-sl2.dat

Figure 12

annulus-id-brane-gbounds-sl2.dat

annulus-id-brane-gbounds-virasoro.dat

Figure 13

su2-hann-v-h2pt-55ders-joined.dat

Figure 14

full-system-0.1875-gbounds.dat

Figure 15

full-system-0.5-gbounds.dat

Figure 16

su2-asqbounds-pos.dat
DOI: 10.5281/zenodo.15704687
title: The bootstrap of points and lines - Plot data

description: The files in this record are organised in the following manner according to figure numbers in the accompanying arXiv preprint titled "The bootstrap of points and lines"

Figure 2

results-ising-gap.dat

Figure 3

vir-c-1.dat

sl2-c-1.dat

Figure 4 (Please note that the x values are in units of h_N, where h_N = 0.108167)

full-system-neumann-h2pt-gbounds.dat

annulus-neumann-h2pt-gbounds.dat

virasoro-annulus-neumann-h2pt-gbounds.dat

Figure 5 (Please note that x values are values of the radius R)

full-system-neumann-gbounds.dat

sl2-neumann-neumann-gbounds.dat

Figure 6

whale-plot-h-0.5.dat

Figure 7

full-system-neumann-whale-coupled-gbounds.dat

Figure 8

free-boson-gbounds-pooled.dat

sl2-35-g.dat

Figure 9

whale-plot-dirichlet-phi-0.25.dat (top figure)

whale-plot-dirichlet-0.4-gbounds.dat (bottom figure)

Figure 10

full-system-asqbounds.dat

sl2-75-asq.dat

Figure 11

c1.5-virasoro.dat

c1.5-sl2.dat

Figure 12

annulus-id-brane-gbounds-sl2.dat

annulus-id-brane-gbounds-virasoro.dat

Figure 13

su2-hann-v-h2pt-55ders-joined.dat

Figure 14

full-system-0.1875-gbounds.dat

Figure 15

full-system-0.5-gbounds.dat

Figure 16

su2-asqbounds-pos.dat
DOI: 10.15468/dl.7e4fvc
title: Occurrence Download

description: A dataset listing the 808 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-54.13610 -31.74616,-53.07709 -31.74616,-53.07709 -31.32255,-54.13610 -31.32255,-54.13610 -31.74616))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 808 records were derived from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060014-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15705591
title: Artifacts: How Transparent is Usable Privacy and Security Research? A Meta-Study on Current Research Transparency Practices

description: Artifacts for the USENIX Security '25 paper: How Transparent is Usable Privacy and Security Research? A Meta-Study on Current Research Transparency Practices
DOI: 10.48597/f2yh-67xc
title: Inorganics in precipitation at Virolahti II

description: Measurement of Inorganics in precipitation at Virolahti II
DOI: 10.48597/zrue-auqf
title: Inorganics in precipitation at Virolahti II

description: Measurement of Inorganics in precipitation at Virolahti II
DOI: 10.48597/69tc-v8qp
title: Precipitation_amount at Virolahti II

description: Measurement of Precipitation_amount at Virolahti II
DOI: 10.48597/mz8y-e7jw
title: Inorganics in precipitation at Virolahti II

description: Measurement of Inorganics in precipitation at Virolahti II
DOI: 10.48597/fq6k-we6e
title: Inorganics in precipitation at Virolahti II

description: Measurement of Inorganics in precipitation at Virolahti II
DOI: 10.48597/nmw5-xvsq
title: Inorganics in precipitation at Virolahti II

description: Measurement of Inorganics in precipitation at Virolahti II
DOI: 10.48597/phnu-6acd
title: Sulphate_corrected at Virolahti II

description: Measurement of Sulphate_corrected at Virolahti II
DOI: 10.15468/dl.j6a3bs
title: Occurrence Download

description: A dataset containing 5657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus occidentalis Hook."
 ]
}

 The dataset includes 5657 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060028-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/6usg-cy2t
title: Inorganics in precipitation at Virolahti III

description: Measurement of Inorganics in precipitation at Virolahti III
DOI: 10.15468/dl.hu6qc7
title: Occurrence Download

description: A dataset containing 9856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rubus vestitus Weihe)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 9856 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039929-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxpztt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rubus ×linkianus Ser.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039930-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4ej33s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rubus ×boyntonii Ashe)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039931-240626123714530/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.26334433
title: <b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>

description: This is the experimental data of the manuscript entitled "<b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>".
DOI: 10.6084/m9.figshare.26334433.v6
title: <b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>

description: This is the experimental data of the manuscript entitled "<b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>".
DOI: 10.6084/m9.figshare.26334433.v5
title: <b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>

description: This is the experimental data of the manuscript entitled "<b>Blocking scheduling for three-stage remanufacturing system with </b><b>the consideration of machine deterioration and </b><b>maintenance strategy using </b><b>modified monarch butterfly optimization algorithm</b>".
DOI: 10.5281/zenodo.12802439
title: GuitarDuets

description: GuitarDuets Dataset









We present GuitarDuets, a dataset that provides high-quality classical guitar duet recordings alongside midi annotations. The dataset includes approximately three hours of real and synthesized classical guitar duet recordings, with note-level midi annotations for the synthesized duets. During the recording process, four different classical guitars were used to ensure timbral diversity. Some tracks were replayed using different guitars to further enhance timbral diversity and avoid overfitting. The recordings took place in a quiet, acoustically treated room using high-quality condenser microphones (Presonus PM-2), one for each guitar. To address the issue of cross-microphone sound bleeding, a specialized test set of 7 tracks free from such leakage was recorded. Each guitar track was exported as a 44,100 Hz, 16-bit WAV file in stereo format. The dataset is designed for developing and evaluating monotimbral music source separation algorithms.

 

For Academic Purposes, please cite the following publication:

M. Glytsos, C. Garoufis, and A. Zlatintsi and P. Maragos, "Classical Guitar Duet Separation using GuitarDuets - A Dataset of Real and Synthesized Guitar Recordings", in Proc. of the 25th Int. Society for Music Information Retrieval Conf., San Francisco, United States, 2024.
DOI: 10.5281/zenodo.12802440
title: GuitarDuets

description: GuitarDuets Dataset









We present GuitarDuets, a dataset that provides high-quality classical guitar duet recordings alongside midi annotations. The dataset includes approximately three hours of real and synthesized classical guitar duet recordings, with note-level midi annotations for the synthesized duets. During the recording process, four different classical guitars were used to ensure timbral diversity. Some tracks were replayed using different guitars to further enhance timbral diversity and avoid overfitting. The recordings took place in a quiet, acoustically treated room using high-quality condenser microphones (Presonus PM-2), one for each guitar. To address the issue of cross-microphone sound bleeding, a specialized test set of 7 tracks free from such leakage was recorded. Each guitar track was exported as a 44,100 Hz, 16-bit WAV file in stereo format. The dataset is designed for developing and evaluating monotimbral music source separation algorithms.

 

For Academic Purposes, please cite the following publication:

M. Glytsos, C. Garoufis, and A. Zlatintsi and P. Maragos, "Classical Guitar Duet Separation using GuitarDuets - A Dataset of Real and Synthesized Guitar Recordings", in Proc. of the 25th Int. Society for Music Information Retrieval Conf., San Francisco, United States, 2024.
DOI: 10.5281/zenodo.13118674
title: heliconius_erato_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13118675
title: heliconius_erato_zanfona_1.fasta.gz
DOI: 10.15468/dl.d53d99
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rubus ×paxii Focke)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039932-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26390017
title: Comparison of Laparoscopy and vNOTES in Early-stage Endometrial Cancer

description: Our aim was to compare the demographic, clinical, surgical, histopathological and oncological outcomes of vNOTES and conventional laparoscopy (CL)for early-stage endometrial cancer.This present study was carried out in the Gynecologic Clinic of a tertiary hospital from January 2019 to November 2020. Patient demographic characteristics, surgical outcomes, histopathological characteristics, visual analog scale (VAS) pain scores at postoperative 6th, 12th, and 24th, intra- and postoperative complications, and follow-up results were noted. A total of 45 patients enrolled, of which 16 underwent CL and 29 were vNOTES. The operative time and decrease in hemoglobin levels was similar for both groups (p=0.202, p = 0.699). Postoperative hospital stay did not differ between the vNOTES group and the CL group (p = 0.549). VAS pain scores at postoperative 6th, 12th and 24th hours were significantly lower in vNOTES group than in the CL group (p&lt;0.001). The requirement for additional opioid/narcotic analgesic was lower in the vNOTES group than in the CL group (p=0.037). In conclusion, vNOTES may be a safe and feasible option in early-stage endometrial cancer, having less post-operative pain and less requirement of opioid/narcotic analgesic compared with laparoscopy.
DOI: 10.15468/dl.7apruh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rudbeckia fulgida var. fulgida)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039933-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwwh5a
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rudbeckia sullivantii C.L.Boynton & Beadle)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039934-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96ac4g
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rudbeckia grandiflora var. alismifolia (Torr. & A.Gray) Cronquist)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039935-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13118679
title: laemanctus_serratus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13118680
title: laemanctus_serratus_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.7ndh9t
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rudbeckia hirta var. hirta)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039936-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.