86971 observation records for Eastern Meadowlark. Obtained from the Avian Knowledge Network (see the original query). After you download the data locally, you can convert it to a point map using:

> AKN <- read.delim("AKN_Query_Results_95201085842.txt")
# fix some columns:
> AKN$Observation.Count <- ifelse(is.na(AKN$Observation.Count), AKN$Obs.Count.At.Least, AKN$Observation.Count)
> AKN$Duration.In.Hours <- ifelse(AKN$Duration.In.Hours==0, 0.5, AKN$Duration.In.Hours)
> AKN$Observation.Date <- as.Date(paste(AKN$Observation.Date))
# records in no / area / time (unfortunatelly Survey.Area.Size is missing)
> AKN$Dens <- AKN$Observation.Count/AKN$Duration.In.Hours
> AKN.pnt <- subset(AKN, !is.na(AKN$Longitude)&!is.na(AKN$Latitude)&is.finite(AKN$Dens), 
+      select=c("Global.Unique.Identifier","Longitude","Latitude","Observation.Date",
+      "Dens","Collection.Code","Locality","Survey.Area.Identifier","Observation.Count","Duration.In.Hours"))

# Convert to a point map:
> AEA <- "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 
+      +datum=NAD83 +units=m +no_defs"
> coordinates(AKN.pnt) <-~Longitude+Latitude
> proj4string(AKN.pnt) <- CRS("+proj=longlat +datum=WGS84")
> AKN.pntXY <- spTransform(AKN.pnt, CRS("AEA"))
> save(AKN.pntXY, file="AKN_Sturnella_magna_USA.RData")

Avian Knowledge Network. 2009. Avian Knowledge Network: An online database of bird distribution and abundance [web application]. Ithaca, New York.

'data.frame':   86971 obs. of  8 variables:
 $ Global.Unique.Identifier: Factor w/ 90152 levels "URN:catalog:....",..: 61836 61685 61811 61801 ...
 $ Observation.Date        :Class 'Date'  num [1:86971] 14535 14532 12808 14533 14352 ...
 $ Dens                    : num  1.288 0.667 2 0.941 1.25 ...
 $ Collection.Code         : Factor w/ 20 levels "EBIRD","EBIRD_AK",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Locality                : Factor w/ 20073 levels "","'Big' Quintana pond",..: 16768 12147 8835 8855 13639 ...
 $ Survey.Area.Identifier  : Factor w/ 21494 levels "L100019","L102957",..: 6825 12997 19949 1722 15230 8877 ...
 $ Observation.Count       : int  3 1 1 4 5 12 1 50 1 1 ...
 $ Duration.In.Hours       : num  2.33 1.5 0.5 4.25 4 3 0.5 3.5 11 9.08 ...