cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3wdjvxmvsp.4
title: A Dataset for Integrated Analysis of Satellite Remote Sensing, Environmental Variables and Nelore Cattle Supplementation Data in the Midwest Region of Brazil

description: This is a dataset of an experiment performed in in the School Farm of the Federal University of Mato Grosso do Sul (UFMS). UFMS is in the Midwest region of Brazil (Mato Grosso do Sul State). The school farm is located at 20°26'37.7"S 54°50'58.5"W. The data was collected in a 16ha paddock containing 26 Nelore breed animals with brachiaria Decumbens forage. The dataset contains weight and supplementation data for each animal, Multispectral data, and environmental data for a period of one year (December, 2022 - November, 2023). 

Along the period, every 13-28 days, all 26 animals in the paddock got their weights registered, as well as their supplementation data (supplementation delivered (kg) per day, average daily weight gain, time of each supplementation, and data for how many times and for how long each animal went to the feeder). For each days-interval, dates (START_DATE and FINAL_DATE), period identification (PERIOD) and day range (AMOUNT_DAYS) were registered, as well as animal identification (ANIMAL), its weight at the start and end (START_WEIGHT and FINAL_WEIGHT), its average daily weight gain (ADG), average daily supplementation (ADS), time for each daily supplementation (SUP_TIME), total supplementation amount for the whole herd (SUP_TOTAL), total time the animal spent at the feeder (TOTAL_TIME), how many times the animal went to the feeder (TOTAL_ATTENDANCE) and total of different days the animal spent at the feeder (TOTAL_DAYS).

Specifically, a couple more specific filter were applied to attendance and days data in order to get more specific supplementation data for each animal. We split the data for specific ranges of time ((6-12h), (12-18h), (18-00h), (6-8h), (12-14h), (18-20h)) and for specific date ranges (spring (09/23-12/21), summer (12/22-03/20), autumn (03/23-06/21), winter (06/22-09/22))

Multispectral data was acquired looking at the paddock location. The data was collected using Google Earth Engine API, based on Sentinel-2 multispectral images. Twenty sentinel-2 bands (BAND1, BAND2, BAND3, BAND4, BAND5, BAND6, BAND7, BAND8A, BAND9, BAND11, and BAND12) were acquired, and eight spectral indices (NDVI_INDEX, NDWI_INDEX, EVI_INDEX, LAI_INDEX, DVI_INDEX, GCI_INDEX, GEMI_INDEX, and SAVI_INDEX) were calculated and integrated into the dataset. 

Weather data was also collected using the Open-Meteo weather API. The data acquired are Mean Temperature of the period (TEMP_AVG), Rain sum registered in the period (RAIN_SUM), Average daily rain registered during the period (RAIN_AVG), Solar Radiation sum and Average Solar Radiation registered during the period (RAD_SOL_SUM,RAD_SOL_AVG), Average evapotranspiration registered during the period (EVAPOT), Average Relative Humidity registered during the period (HUM_REL_AVG) and Average Atmospheric Pressure registered during the period (PRES_ATM_AVG).
DOI: 10.17632/3wdjvxmvsp.7
title: A Dataset on Nelore Cattle Supplementation in the Midwest Region of Brazil for Integrated Analysis of Supplementation, Satellite Remote Sensing, and Weather Variables

description: This is a dataset of an experiment performed in in the School Farm of the Federal University of Mato Grosso do Sul (UFMS). UFMS is in the Midwest region of Brazil (Mato Grosso do Sul State). The school farm is located at 20°26'37.7"S 54°50'58.5"W. The data was collected in a 16ha paddock containing 26 Nelore breed animals with brachiaria Decumbens forage. The dataset contains weight and supplementation data for each animal, Multispectral data, and environmental data for a period of one year (December, 2022 - October, 2023). 

Along the period, every 13-28 days, all 26 animals in the paddock got their weights registered, as well as their supplementation data (supplementation delivered (kg) per day, average daily weight gain, time of each supplementation, and data for how many times and for how long each animal went to the feeder). For each days-interval, dates (START_DATE and FINAL_DATE), period identification (PERIOD) and day range (AMOUNT_DAYS) were registered, as well as animal identification (ANIMAL), its weight at the start and end (START_WEIGHT and FINAL_WEIGHT), its average daily weight gain (ADG), average daily supplementation (ADS), time for each daily supplementation (SUP_TIME), total supplementation amount for the whole herd (SUP_TOTAL), total time the animal spent at the feeder (TOTAL_TIME), how many times the animal went to the feeder (TOTAL_ATTENDANCE) and total of different days the animal spent at the feeder (TOTAL_DAYS).

Specifically, a couple more specific filter were applied to attendance and days data in order to get more specific supplementation data for each animal. We split the data for specific ranges of time ((6-12h), (12-18h), (18-00h), (6-8h), (12-14h), (18-20h)) and for specific date ranges (spring (09/23-12/21), summer (12/22-03/20), autumn (03/23-06/21), winter (06/22-09/22))

Multispectral data was acquired looking at the paddock location. The data was collected using Google Earth Engine API, based on Sentinel-2 multispectral images. Twenty sentinel-2 bands (BAND1, BAND2, BAND3, BAND4, BAND5, BAND6, BAND7, BAND8A, BAND9, BAND11, and BAND12) were acquired, and eight spectral indices (NDVI_INDEX, NDWI_INDEX, EVI_INDEX, LAI_INDEX, DVI_INDEX, GCI_INDEX, GEMI_INDEX, and SAVI_INDEX) were calculated and integrated into the dataset. 

Weather data was also collected using the Open-Meteo weather API. The data acquired are Mean Temperature of the period (TEMP_AVG), Rain sum registered in the period (RAIN_SUM), Average daily rain registered during the period (RAIN_AVG), Solar Radiation sum and Average Solar Radiation registered during the period (RAD_SOL_SUM,RAD_SOL_AVG), Average evapotranspiration registered during the period (EVAPOT), Average Relative Humidity registered during the period (HUM_REL_AVG) and Average Atmospheric Pressure registered during the period (PRES_ATM_AVG).
DOI: 10.15468/dl.u48443
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristiophorus lanae Ebert & Wilms, 2013"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105473-240626123714530/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.26860093
title: Data for Trace metals in natural lakes of different trophic state: Response of primary production to low concentrations of manganese, cobalt, nickel, copper and zinc

description: Trace metal micronutrients are known to play an important role in the optimal functioning of aquatic microorganisms involved in the sequestration of atmospheric carbon dioxide. Great effort has been dedicated towards understanding the controls and biogeochemical cycling of trace metal micronutrients in the global ocean over several decades. Conversely, the cycling of trace metals in lakes is not well established. This study investigated the biogeochemical cycling of five biologically important trace metals, namely manganese, cobalt, nickel, copper and zinc in three New Zealand lakes that extends our initial study focussed on iron biogeochemical behaviour. These study lakes not only have low concentrations of these trace metals, but also differ in their trophic state and water mass mixing regimes, enabling trace metal behaviour in each lake setting to be compared and contrasted. Modelling of the bioavailable fraction of each trace metal was used to estimate the fraction of the dissolved phase available for biological uptake. The cycling of the metals was driven by the different physicochemical and biogeochemical factors distinctive for each lake, including water column oxygen concentrations and the extent to which each metal was bound to particulates. Intriguingly, increased biological uptake during times of high phytoplankton growth was not observed for any of the investigated trace metals. The results from this study emphasise the important role biogeochemical cycling plays in regulating the distributions and bioavailability of trace metals in lakes.
DOI: 10.6084/m9.figshare.26860093.v1
title: Data for Trace metals in natural lakes of different trophic state: Response of primary production to low concentrations of manganese, cobalt, nickel, copper and zinc

description: Trace metal micronutrients are known to play an important role in the optimal functioning of aquatic microorganisms involved in the sequestration of atmospheric carbon dioxide. Great effort has been dedicated towards understanding the controls and biogeochemical cycling of trace metal micronutrients in the global ocean over several decades. Conversely, the cycling of trace metals in lakes is not well established. This study investigated the biogeochemical cycling of five biologically important trace metals, namely manganese, cobalt, nickel, copper and zinc in three New Zealand lakes that extends our initial study focussed on iron biogeochemical behaviour. These study lakes not only have low concentrations of these trace metals, but also differ in their trophic state and water mass mixing regimes, enabling trace metal behaviour in each lake setting to be compared and contrasted. Modelling of the bioavailable fraction of each trace metal was used to estimate the fraction of the dissolved phase available for biological uptake. The cycling of the metals was driven by the different physicochemical and biogeochemical factors distinctive for each lake, including water column oxygen concentrations and the extent to which each metal was bound to particulates. Intriguingly, increased biological uptake during times of high phytoplankton growth was not observed for any of the investigated trace metals. The results from this study emphasise the important role biogeochemical cycling plays in regulating the distributions and bioavailability of trace metals in lakes.
DOI: 10.15468/dl.bksrwe
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adesmia argyrophylla Phil."
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105476-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us3mpp
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Thomasomys aureus (Tomes, 1860)"
 ]
}

 The dataset includes 84 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105477-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se3ten
title: Occurrence Download

description: A dataset containing 32886224 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 32886224 records from 4795 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105382-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2drrte
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis bullatus, Haplochromis bwathondii, Haplochromis cassius, Haplochromis cavifrons, Haplochromis chilotes, Haplochromis chlorochrous, Haplochromis chromogynos, Haplochromis chrysogynaion, Haplochromis cinctus, Haplochromis cinereus, Haplochromis cnester, Haplochromis commutabilis, Haplochromis coprologus, Haplochromis crassilabris, Haplochromis crebridens, Haplochromis crocopeplus, Haplochromis cronus, Haplochromis cryptodon, Haplochromis cryptogramma, Haplochromis decticostoma, Haplochromis degeni, Haplochromis demeusii, Thoracochromis demeusii, Haplochromis dentex, Haplochromis desfontainii, Haplochromis dichrourus, Haplochromis diplotaenia, Haplochromis dolichorhynchus, Haplochromis dolorosus, Haplochromis eduardianus, Haplochromis eduardii, Haplochromis elegans, Haplochromis empodisma, Haplochromis engystoma, Haplochromis erythrocephalus, Haplochromis erythromaculatus, Haplochromis estor, Haplochromis eutaenia, Haplochromis exspectatus, Haplochromis fasciatus, Thoracochromis fasciatus, Haplochromis fischeri, Haplochromis flavipinnis, Haplochromis flavus, Haplochromis fuscus, Haplochromis fusiformis, Haplochromis gigas, Haplochromis gilberti, Haplochromis goldschmidti, Haplochromis gowersii, Haplochromis gracilior, Haplochromis granti, Haplochromis graueri, Haplochromis greenwoodi, Haplochromis guiarti, Haplochromis harpakteridion, Haplochromis heusinkveldi, Haplochromis hiatus, Haplochromis howesi, Haplochromis humilior, Haplochromis igneopinnis, Haplochromis insidiae, Haplochromis iris, Haplochromis ishmaeli, Haplochromis kamiranzovu, Haplochromis katavi, Haplochromis katonga, Haplochromis katunzii, Haplochromis kujunjui, Haplochromis labiatus, Haplochromis labriformis, Haplochromis lacrimosus, Haplochromis laparogramma, Haplochromis latifasciatus, Haplochromis limax, Haplochromis lividus, Haplochromis loati, Haplochromis longirostris, Haplochromis lucullae, Thoracochromis lucullae, Haplochromis luluae, Haplochromis luteus, Haplochromis macconneli, Haplochromis macrocephalus, Haplochromis macrognathus, Haplochromis macropsoides, Haplochromis maculipinna, Haplochromis mahagiensis, Haplochromis maisomei, Haplochromis malacophagus, Haplochromis mandibularis, Haplochromis martini, Haplochromis maxillaris, Haplochromis mbipi, Haplochromis megalops, Haplochromis melanopterus, Haplochromis melanopus, Haplochromis melichrous, Haplochromis mentatus, Haplochromis mento)",
 "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 ((-16.9807 11.2818,-16.9054 11.0599,-16.8618 11.0599,-16.8618 11.7189,-16.9807 11.2818))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009908-250827131500795/datasets/export for details.
DOI: 10.3535/3l8-n2z-lme
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/apn-q4r-6bx
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3g4-f38-2sg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/px2-047-kr7
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8q4-818-mz8
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99v-zg3-cpp
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/agh-mzp-fsq
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/74e-jn8-psr
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/80k-mtk-q24
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fa2-9m3-l3s
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mkx-5qj-vvv
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6z3-rxp-mx4
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pjx-kg1-3fv
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bac-a1q-a8n
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/53k-ql9-gac
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.17004850
title: Anonymous Tourist Activity Dataset for Tourist Behavior Analysis

description: This dataset contains anonymized Twitter data related to tourist activities in Bangkok, Thailand. It was collected to analyze travel behavior, activity preferences, and temporal patterns during events like the Songkran festival. The dataset includes timestamped activity classifications, geographic information at a generalized level, and extracted named entities relevant to tourism. The dataset is from 2019-04-05 to 2019-04-24.
DOI: 10.5281/zenodo.17004849
title: Anonymous Tourist Activity Dataset for Tourist Behavior Analysis

description: This dataset contains anonymized Twitter data related to tourist activities in Bangkok, Thailand. It was collected to analyze travel behavior, activity preferences, and temporal patterns during events like the Songkran festival. The dataset includes timestamped activity classifications, geographic information at a generalized level, and extracted named entities relevant to tourism. The dataset is from 2019-04-05 to 2019-04-24.
DOI: 10.15468/dl.tst9yq
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pareiorhina brachyrhyncha)",
 "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 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009910-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t4p3a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis bullatus, Haplochromis bwathondii, Haplochromis cassius, Haplochromis cavifrons, Haplochromis chilotes, Haplochromis chlorochrous, Haplochromis chromogynos, Haplochromis chrysogynaion, Haplochromis cinctus, Haplochromis cinereus, Haplochromis cnester, Haplochromis commutabilis, Haplochromis coprologus, Haplochromis crassilabris, Haplochromis crebridens, Haplochromis crocopeplus, Haplochromis cronus, Haplochromis cryptodon, Haplochromis cryptogramma, Haplochromis decticostoma, Haplochromis degeni, Haplochromis demeusii, Thoracochromis demeusii, Haplochromis dentex, Haplochromis desfontainii, Haplochromis dichrourus, Haplochromis diplotaenia, Haplochromis dolichorhynchus, Haplochromis dolorosus, Haplochromis eduardianus, Haplochromis eduardii, Haplochromis elegans, Haplochromis empodisma, Haplochromis engystoma, Haplochromis erythrocephalus, Haplochromis erythromaculatus, Haplochromis estor, Haplochromis eutaenia, Haplochromis exspectatus, Haplochromis fasciatus, Thoracochromis fasciatus, Haplochromis fischeri, Haplochromis flavipinnis, Haplochromis flavus, Haplochromis fuscus, Haplochromis fusiformis, Haplochromis gigas, Haplochromis gilberti, Haplochromis goldschmidti, Haplochromis gowersii, Haplochromis gracilior, Haplochromis granti, Haplochromis graueri, Haplochromis greenwoodi, Haplochromis guiarti, Haplochromis harpakteridion, Haplochromis heusinkveldi, Haplochromis hiatus, Haplochromis howesi, Haplochromis humilior, Haplochromis igneopinnis, Haplochromis insidiae, Haplochromis iris, Haplochromis ishmaeli, Haplochromis kamiranzovu, Haplochromis katavi, Haplochromis katonga, Haplochromis katunzii, Haplochromis kujunjui, Haplochromis labiatus, Haplochromis labriformis, Haplochromis lacrimosus, Haplochromis laparogramma, Haplochromis latifasciatus, Haplochromis limax, Haplochromis lividus, Haplochromis loati, Haplochromis longirostris, Haplochromis lucullae, Thoracochromis lucullae, Haplochromis luluae, Haplochromis luteus, Haplochromis macconneli, Haplochromis macrocephalus, Haplochromis macrognathus, Haplochromis macropsoides, Haplochromis maculipinna, Haplochromis mahagiensis, Haplochromis maisomei, Haplochromis malacophagus, Haplochromis mandibularis, Haplochromis martini, Haplochromis maxillaris, Haplochromis mbipi, Haplochromis megalops, Haplochromis melanopterus, Haplochromis melanopus, Haplochromis melichrous, Haplochromis mentatus, Haplochromis mento)",
 "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 ((5.9985 -1.8197,6.1596 -1.4443,5.9957 -1.0552,5.6304 -0.9035,5.2841 -1.0308,5.1008 -1.4539,5.2222 -1.7725,5.639 -1.9676,5.9985 -1.8197))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009911-250827131500795/datasets/export for details.
DOI: 10.15468/dl.8ds7z8
title: Occurrence Download

description: A dataset containing 1752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Romulea minutiflora",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1752 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009912-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58gx4b
title: Occurrence Download

description: A dataset containing 15199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rumex bucephalophorus"
 ]
}

 The dataset includes 15199 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009909-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zc7gv
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Porophyllum ruderale macrocephalum"
 ]
}

 The dataset includes 583 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009913-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5783974
title: Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y19 & Y20

description: A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2014 (Y19) and 2015 (Y20).