cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2ahhun
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phenacorhamdia macarenensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010288-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4mdcd
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lanius gubernator)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 172 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010289-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxx8jf
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-73.36782553676899 10.473522237116399,-73.36782553676899 10.444903179302983,-73.28687047237294 10.444903179302983,-73.28687047237294 10.473522237116399,-73.36782553676899 10.473522237116399))"
 ]
}

 The dataset includes 322 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010291-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brd676
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrurus carminatus"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010292-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.4003965
title: Rollator movement IMU data - gold standard

description: This is an
initial study to characterise rollator movement. An inertial measurement unit
(IMU) was used to measure the motion of the rollator and analytical approaches
were developed to extract features characterising the rollator movement,
properties of the surface, and push events. The analytics were tested in two
situations, firstly a healthy participant used a rollator in a laboratory using
a motion capture system to obtain ground truth. Secondly the IMU was used to
measure the movement of a rollator being used by a user with multiple sclerosis
(MS) on a flat surface, cross-slope, up and down slopes, and up and down a step The dataset of inertial measurement unit is comprised of seven straight-lighting walking trials (between 4-5 m) performed by a healthy participant using a rollator in a gait lab. The raw data were in txt format recorded by Xsens Swinda 2 and subsequently analysed using a bespoke MATLAB script to calculate the distance travelled by a rollator.
DOI: 10.17866/rd.salford.4003965.v1
title: Rollator movement IMU data - gold standard

description: This is an
initial study to characterise rollator movement. An inertial measurement unit
(IMU) was used to measure the motion of the rollator and analytical approaches
were developed to extract features characterising the rollator movement,
properties of the surface, and push events. The analytics were tested in two
situations, firstly a healthy participant used a rollator in a laboratory using
a motion capture system to obtain ground truth. Secondly the IMU was used to
measure the movement of a rollator being used by a user with multiple sclerosis
(MS) on a flat surface, cross-slope, up and down slopes, and up and down a step The dataset of inertial measurement unit is comprised of seven straight-lighting walking trials (between 4-5 m) performed by a healthy participant using a rollator in a gait lab. The raw data were in txt format recorded by Xsens Swinda 2 and subsequently analysed using a bespoke MATLAB script to calculate the distance travelled by a rollator.
DOI: 10.15468/dl.79b5tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schinus molle",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010293-250802193616735/datasets/export for details.
DOI: 10.15468/dl.w6tjyq
title: Occurrence Download

description: A dataset containing 2025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Baeolophus inornatus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2025 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010296-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zhdrj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Baeolophus inornatus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010295-250802193616735/datasets/export for details.
DOI: 10.15468/dl.d9s3us
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-73.36782553676899 10.473522237116399,-73.36782553676899 10.444903179302983,-73.28687047237294 10.444903179302983,-73.28687047237294 10.473522237116399,-73.36782553676899 10.473522237116399))"
 ]
}

 The dataset includes 322 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010297-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7epkvz
title: Occurrence Download

description: A dataset containing 978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera bella",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 978 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010299-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx4wqg
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene bupleuroides",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 439 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010300-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23629
title: Chandra X-ray Observatory ObsId 23629

description: The role of photons from X-ray binaries at reionization
DOI: 10.15468/dl.pstwyv
title: Occurrence Download

description: A dataset containing 5467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lanius mackinnoni)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 5467 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010301-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfae47
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothoscordum gracile",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 134 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010302-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35078/nngkdx
title: Utilização de antibióticos no Brasil: uma análise do consumo publico e comunitário privado

description: O Sistema Nacional de Gerenciamento de Produtos Controlados (SNGPC) armazena dados de dispensação de medicamentos industrializados, manipulados, e insumos farmacêuticos sob controle especial e antimicrobianos, a partir dos registros de farmácias e drogarias privadas. O trabalho explora a qualidade dos dados inseridos no SNGPC, a partir dos registros de dispensação de antibióticos industrializados, com objetivo de propor seu emprego em estudos de utilização de medicamentos, por meio de desenho descritivo e retrospectivo, examinando o conjunto dados brutos do Sistema (pt) The National Controlled Products Management System (SNPG) stores data on the dispensation of industrialized and manipulated drugs, pharmaceutical inputs under special control, and antimicrobials from the records of private pharmacies and drugstores. This study explores the quality of the data entered into the SNGPC, from the records of dispensation of industrialized antibiotics, with the objective of proposing its use in studies of drug utilization, through a descriptive and retrospective design, examining the raw data set of the System (en) El Sistema Nacional de Gerenciamiento de Productos Controlados (SNGPC) almacena datos sobre la dispensación de medicamentos industrializados y manipulados, insumos farmacéuticos bajo control especial y antimicrobianos a partir de los registros de farmacias y droguerías privadas. Este estudio explora la calidad de los datos introducidos en el SNGPC a partir de los registros de dispensación de antibióticos industrializados, con el objetivo de proponer su utilización en estudios sobre el uso de medicamentos, mediante un diseño descriptivo y retrospectivo, examinando el conjunto de datos brutos del Sistema (es)
DOI: 10.15468/dl.xuuywh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastromyzon farragus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010304-250802193616735/datasets/export for details.
DOI: 10.15468/dl.7cn75a
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lanius newtoni)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 81 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010305-250802193616735/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.29385259
title: Highest Probability Density Conformal Regions

description: This article proposes a new method for finding the highest predictive density set or region, within the heteroscedastic regression framework. This framework enjoys the property that any highest predictive density set is a translation of some scalar multiple of a highest density set for the standardized regression error, with the same prediction accuracy. The proposed method leverages this property to efficiently compute conformal prediction regions using signed conformal inference and kernel density estimation, in conjunction with any conditional mean and scale estimators. While most conformal prediction methods output prediction intervals, this method adapts to the target. When the target is multi-modal, the proposed method outputs an approximation of the smallest multi-modal set. When the target is uni-modal, the proposed method outputs an approximation of the smallest interval. Under mild regularity conditions, we show that these conformal prediction sets are asymptotically close to the true smallest prediction sets. Because of the conformal guarantee, even in finite sample sizes the method has guaranteed coverage. With simulations and a real data analysis we demonstrate that the proposed method is better than existing methods when the target is multi-modal or strongly heteroscedastic, and gives similar results in other scenarios. Supplementary Materials, including proofs, code, and additional comments, are available online.
DOI: 10.6084/m9.figshare.29385259.v1
title: Highest Probability Density Conformal Regions

description: This article proposes a new method for finding the highest predictive density set or region, within the heteroscedastic regression framework. This framework enjoys the property that any highest predictive density set is a translation of some scalar multiple of a highest density set for the standardized regression error, with the same prediction accuracy. The proposed method leverages this property to efficiently compute conformal prediction regions using signed conformal inference and kernel density estimation, in conjunction with any conditional mean and scale estimators. While most conformal prediction methods output prediction intervals, this method adapts to the target. When the target is multi-modal, the proposed method outputs an approximation of the smallest multi-modal set. When the target is uni-modal, the proposed method outputs an approximation of the smallest interval. Under mild regularity conditions, we show that these conformal prediction sets are asymptotically close to the true smallest prediction sets. Because of the conformal guarantee, even in finite sample sizes the method has guaranteed coverage. With simulations and a real data analysis we demonstrate that the proposed method is better than existing methods when the target is multi-modal or strongly heteroscedastic, and gives similar results in other scenarios. Supplementary Materials, including proofs, code, and additional comments, are available online.
DOI: 10.15468/dl.6z6ukj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrurus coelorhynchus"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010307-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bzkaw
title: Occurrence Download

description: A dataset listing the 18 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Queensland Microalgae Collection Database of Identified Species"
 ]
}

 The dataset's 18 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010298-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksz42z
title: Occurrence Download

description: A dataset containing 4095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schinus molle",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4095 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010308-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6132
title: smart_contracts
DOI: 10.57967/hf/1182
title: smart_contracts
DOI: 10.5281/zenodo.16738949
title: TABLE 2 in Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A.

description: TABLE 2. Meristic characters for Catostomus murivallis (mur), Ca. warnerensis (war), and Ca. fumeiventris (fum). X = statistically significant difference at 0.05 level, as evaluated by ANOVA when appropriate. Abbreviations: SD = standard deviation; n = number of fish in sample.
Ca. murivallis (n = 102)Ca. warnerensis (n = 24)Ca. fumeiventris (n = 56)ANOVACharacterHolotypeRangeModeX̅SDRangeModeX̅SDRangeModeX̅SDmur-warmur-fumwar-fumLateral-line scales8467–928578.66.264–857472.05.666–867374.84.3XXXDorsal-fin origin to lateral-line scale rows1212–171514.61.011–171414.01.412–161313.61.0XXAnal-fin origin to lateral-line scale rows109–141010.50.88–131010.11.28–1299.70.8XXScale rows around caudal peduncle2824–322827.81.825–322727.71.923–302625.91.3XX
description: Published as part of Harris, Phillip M., Markle, Douglas F. & Campbell, Matthew A., 2025, Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A., pp. 437 in Zootaxa 5653 (3) on page 437, DOI: 10.11646/zootaxa.5653.3.8, http://zenodo.org/record/15821776
DOI: 10.5281/zenodo.16738950
title: TABLE 2 in Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A.

description: TABLE 2. Meristic characters for Catostomus murivallis (mur), Ca. warnerensis (war), and Ca. fumeiventris (fum). X = statistically significant difference at 0.05 level, as evaluated by ANOVA when appropriate. Abbreviations: SD = standard deviation; n = number of fish in sample.
Ca. murivallis (n = 102)Ca. warnerensis (n = 24)Ca. fumeiventris (n = 56)ANOVACharacterHolotypeRangeModeX̅SDRangeModeX̅SDRangeModeX̅SDmur-warmur-fumwar-fumLateral-line scales8467–928578.66.264–857472.05.666–867374.84.3XXXDorsal-fin origin to lateral-line scale rows1212–171514.61.011–171414.01.412–161313.61.0XXAnal-fin origin to lateral-line scale rows109–141010.50.88–131010.11.28–1299.70.8XXScale rows around caudal peduncle2824–322827.81.825–322727.71.923–302625.91.3XX
description: Published as part of Harris, Phillip M., Markle, Douglas F. & Campbell, Matthew A., 2025, Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A., pp. 437 in Zootaxa 5653 (3) on page 437, DOI: 10.11646/zootaxa.5653.3.8, http://zenodo.org/record/15821776
DOI: 10.5281/zenodo.16738951
title: TABLE 3 in Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A.

description: TABLE 3. Counts of meristic characters for Catostomus murivallis (mur, n = 102), Ca. warnerensis (war, n = 24), and Ca. fumeiventris (fum, n = 56). See TABLE 2 for character mean and standard deviation. Scale count for holotype given in TABLE 2.
Lateral-Line Scales6666667777777777888888888899945678901234567890123456789012mur3124384745536347299224211war221311313121111fum1116258827232112211Dorsal-fin origin to lateral line scale rowsAnal-fin origin to lateral line scale rowsScale rows around caudal pedunclemur11111118911111mur22222223331234567012343456789012313311mur453112111211421269241035592war1178331war16142war257241211fum72111fum12272fum181213108051003
description: Published as part of Harris, Phillip M., Markle, Douglas F. & Campbell, Matthew A., 2025, Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A., pp. 437 in Zootaxa 5653 (3) on page 437, DOI: 10.11646/zootaxa.5653.3.8, http://zenodo.org/record/15821776
DOI: 10.5281/zenodo.16738952
title: TABLE 3 in Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A.

description: TABLE 3. Counts of meristic characters for Catostomus murivallis (mur, n = 102), Ca. warnerensis (war, n = 24), and Ca. fumeiventris (fum, n = 56). See TABLE 2 for character mean and standard deviation. Scale count for holotype given in TABLE 2.
Lateral-Line Scales6666667777777777888888888899945678901234567890123456789012mur3124384745536347299224211war221311313121111fum1116258827232112211Dorsal-fin origin to lateral line scale rowsAnal-fin origin to lateral line scale rowsScale rows around caudal pedunclemur11111118911111mur22222223331234567012343456789012313311mur453112111211421269241035592war1178331war16142war257241211fum72111fum12272fum181213108051003
description: Published as part of Harris, Phillip M., Markle, Douglas F. & Campbell, Matthew A., 2025, Catostomus murivallis, a new species of sucker (Cypriniformes: Catostomidae) from Wall Canyon Creek, Surprise Valley, in Northwestern Nevada, U. S. A., pp. 437 in Zootaxa 5653 (3) on page 437, DOI: 10.11646/zootaxa.5653.3.8, http://zenodo.org/record/15821776